<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1529270</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic value of sarcopenia in aortic valve replacement: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>He</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1451273/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Clinical Medicine, Chengdu Medical College</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Angelos K. Sikalidis, California Polytechnic State University, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Mar&#x00ED;a Luisa Avila-Escalante, Universidad Aut&#x00F3;noma de Yucat&#x00E1;n, Mexico</p>
<p>Sarad Pawar Naik Bukke, Kampala International University Western Campus, Uganda</p>
<p>Iris Otero Luis, University of Castilla-La Mancha, Spain</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Jie He, <email>2325@cmc.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1529270</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 He.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>He</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>This study aimed to quantify the prevalence of sarcopenia in patients undergoing surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR), and to assess its association with mortality risk.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Relevant studies were identified through searches of the PubMed, Cochrane Library, Excerpta Medica Database (Embase), Web of Science, and China National Knowledge Infrastructure (CNKI) from inception through July 1, 2025. The prevalence of sarcopenia and its 95% confidence interval (CI) were calculated, with heterogeneity evaluated using the <italic>I</italic><sup>2</sup> statistic. The link between sarcopenia and mortality following SAVR/TAVR was quantified by hazard ratio (HR) or odds ratio (OR) with 95% CI. Statistical analyses were conducted using Stata 11.0.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Thirty-eight studies were included, with 6 focusing on patients undergoing SAVR and 32 on those undergoing TAVR. Sarcopenia was defined by skeletal mass index in 16 studies, while only 2 studies adopted criteria combining reduced muscle mass with low muscle strength and/or reduced physical performance. Sarcopenia&#x2019;s prevalence among SAVR patients was 31.3% (95% CI 25.3&#x2013;37.6%). In this cohort, sarcopenia was linked to a significantly higher risk of long-term (&#x2265;1&#x202F;year) mortality (HR&#x202F;=&#x202F;3.10, 95% CI 2.00&#x2013;4.79, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). In contrast, the prevalence of sarcopenia in TAVR patients was 43.7% (95% CI 38.6&#x2013;48.9%), with sarcopenia also correlating with increased long-term (&#x003E;2&#x202F;year) mortality (HR&#x202F;=&#x202F;1.25, 95% CI 1.09&#x2013;1.44, <italic>p</italic>&#x202F;=&#x202F;0.001). These associations remained consistent across various follow-up durations, definitions of sarcopenia, and ethnic groups.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Despite the variation in diagnostic criteria, sarcopenia is significantly prevalent in both SAVR and TAVR populations, with a clear association with elevated long-term mortality following these procedures.</p>
</sec>
<sec id="sec5001">
<title>Systematic review registration</title>
<p><uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</uri>, identifier CRD42024606633.</p>
</sec>
</abstract>
<kwd-group>
<kwd>SAVR</kwd>
<kwd>TAVR</kwd>
<kwd>sarcopenia</kwd>
<kwd>prevalence</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="79"/>
<page-count count="15"/>
<word-count count="9277"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Given advancements in extracorporeal circulation and cardiac surgical techniques, surgical aortic valve replacement (SAVR) has become the predominant cardiac intervention for elderly patients with aortic valve disease (<xref ref-type="bibr" rid="ref1">1</xref>). While transcatheter aortic valve replacement (TAVR) now offers an alternative approach for treating aortic stenosis, SAVR remains advantageous for patients experiencing aortic regurgitation, infective endocarditis, ascending aortic aneurysms, or other valvular disorders (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Optimal treatment for elderly patients, however, necessitates a thorough evaluation of benefits and risks, with accurate postoperative mortality assessment remaining a fundamental concern for clinicians.</p>
<p>Baseline functional status is recognized as a strong indicator of surgical risk (<xref ref-type="bibr" rid="ref4">4</xref>). Identifying specific patient risk factors is essential in guiding clinical decisions on whether TAVR or SAVR represents the optimal approach or if aortic valve replacement (AVR) is potentially non-beneficial. Modifiable factors among these may highlight possible avenues for additional interventions accompanying valve replacement to enhance post-procedural outcomes. Sarcopenia, a condition with implications for adverse clinical results in SAVR/TAVR, is characterized by age-associated reductions in skeletal muscle mass, strength, and physical function (<xref ref-type="bibr" rid="ref5">5</xref>). Globally, sarcopenia prevalence spans 8&#x2013;36% in individuals under 60 and 10&#x2013;27% in those aged 60 or older (<xref ref-type="bibr" rid="ref6">6</xref>). Prior research has consistently linked sarcopenia with cardiovascular diseases such as coronary heart disease, heart failure, and aortic stenosis (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>), positioning it as a risk factor for cardiovascular disease progression and negatively influencing patient prognosis (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Notably, sarcopenia independently predicts mortality in cardiac surgery patients and is prevalent among elderly patients, where it correlates with poorer post-surgical outcomes (<xref ref-type="bibr" rid="ref11">11</xref>). Consequently, comprehensive sarcopenia evaluation is increasingly viewed by researchers as integral to refining decision-making in SAVR/TAVR.</p>
<p>As the population ages, the prevalence of age-related frailty increases sharply, which increases the risk of poor health status of older adults (<xref ref-type="bibr" rid="ref12">12</xref>). Frailty syndrome is becoming increasingly prevalent with population aging, characterized by diminished physiological reserve and impaired stress response capacity. Research indicates that this state of heightened vulnerability exerts significant adverse effects on elderly patients undergoing AVR, manifesting as worsened postoperative dependency, increased readmission rates, elevated mortality, and other negative clinical outcomes (<xref ref-type="bibr" rid="ref13">13</xref>). Frailty holds significant importance in assessing the risks of TAVR, particularly given the advanced age of many patients (<xref ref-type="bibr" rid="ref14">14</xref>). However, frailty assessments are often subjective and rely on indirect measurements. Sarcopenia, one of the key biological contributors to frailty (<xref ref-type="bibr" rid="ref15">15</xref>), can be utilized to evaluate surgical risks in TAVR patients. In the pursuit of objective frailty parameters, previous studies have extensively investigated the analysis of body composition metrics, with a particular focus on muscle mass and muscle strength (<xref ref-type="bibr" rid="ref16">16</xref>). These parameters are widely applied in cardiac risk assessment. Numerous studies have examined sarcopenia&#x2019;s predictive role in outcomes post-SAVR/TAVR, yet findings remain inconsistent and, in some cases, contradictory. For instance, Brouessard et al. (<xref ref-type="bibr" rid="ref17">17</xref>) observed no significant association between sarcopenia and one-year rehospitalization or mortality rates following TAVR. Conversely, Heidari et al. (<xref ref-type="bibr" rid="ref18">18</xref>) identified sarcopenia as an independent predictor of mortality in TAVR patients. Additionally, Mirzai et al. (<xref ref-type="bibr" rid="ref19">19</xref>) demonstrated that unilateral pectoralis muscle measurements from preoperative cardiac magnetic resonance imaging may serve as a supplementary metric to conventional risk scores in predicting mortality risk post-SAVR. Despite these varied findings, no meta-analysis has yet synthesized evidence on sarcopenia&#x2019;s impact on clinical outcomes in SAVR/TAVR patients. This study was therefore undertaken to (i) quantify sarcopenia prevalence in SAVR/TAVR patients, and (ii) assess sarcopenia&#x2019;s association with post-SAVR/TAVR mortality.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Searching strategy and methods</title>
<p>The study adhered to the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (2020) guidelines, with the protocol registered in PROSPERO database (CRD42024606633).<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> PubMed, Cochrane Library, Excerpta Medica Database (Embase), Web of Science, and China National Knowledge Infrastructure (CNKI) were searched, covering records from inception to July 1, 2025, with no language restrictions to ensure a thorough capture of relevant studies. Two researchers executed this search, utilizing keywords encompassing but not limited to: &#x201C;TAVI&#x201D; OR &#x201C;TAVR&#x201D; OR &#x201C;transcatheter aortic valve implantation&#x201D; OR &#x201C;transcatheter aortic valve replacement&#x201D;; &#x201C;aortic valve replacement&#x201D; OR &#x201C;AVR&#x201D; OR &#x201C;surgical aortic valve replacement&#x201D; OR &#x201C;SAVR&#x201D;; AND &#x201C;sarcopenia&#x201D; OR &#x201C;sarcopenic&#x201D; OR &#x201C;muscle mass&#x201D; OR &#x201C;muscle strength&#x201D; OR &#x201C;hand strength&#x201D; OR &#x201C;grip strength&#x201D; OR &#x201C;muscle atrophy&#x201D; OR &#x201C;muscle wasting.&#x201D; Related references in these studies were achieved. The search strategy employed across databases has been documented in detail (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Eligible studies were selected: (i) Participants: patients with sarcopenia undergoing SAVR/TAVR; (ii) Exposure: sarcopenia, defined per each study&#x2019;s criteria due to the lack of a standardized definition; (iii) Comparison: patients without sarcopenia; (iv) Outcome: association between sarcopenia and mortality risk; (v) Study design: prospective or retrospective cohort studies. Exclusion criteria: (i) absence of definitely reported diagnostic criteria for sarcopenia, rendering data extraction infeasible; (ii) narrative reviews, comments, editorials, case series, conference abstracts, or related letters; (iii) studies treating sarcopenia as an outcome rather than a prognostic factor; (iv) publications in non-English languages.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Data extraction</title>
<p>Data extraction from each study was executed in a standardized form. Two reviewers independently gathered the following details: first author&#x2019;s name, publication year, study design, location, patient sample size, mean or median age, body mass index (BMI), Society of Thoracic Surgeons (STS) score, sarcopenia definitions, muscle mass and function metrics, sarcopenia prevalence, and outcomes. For studies lacking specific data, attempts were made to contact the authors for supplementary information or clarification; studies were excluded if responses were not obtained.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Quality assessment of included studies</title>
<p>Assessment of study quality was conducted independently by at least two authors employing a standardized assessment scale. The Newcastle-Ottawa Scale (NOS) scale was applied to case&#x2013;control and cohort studies, comprising criteria on study population selection (4 items, one point each), comparability (1 item, two points), and exposure or outcome (3 items, one point each); scores between 0&#x2013;3 signified low quality, 4&#x2013;6 moderate quality, and 7&#x2013;9 high quality. Disagreements during the quality assessment were addressed through discussions by reviewers or resolved by expert arbitration when necessary.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>This meta-analysis focused on two primary outcomes: (1) sarcopenia prevalence in SAVR /TAVR patients and (2) the association between sarcopenia and mortality. A single-proportion meta-analysis was used to pool the prevalence estimates, with subgroup analyses stratified by sarcopenia definition method and sex. The prevalence of sarcopenia was used as the common effect size in this meta-analysis. The effect of sarcopenia on mortality was quantified through pooled hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI), applying a random- or fixed-effects model based on study variance. The heterogeneity test employed <italic>I</italic><sup>2</sup> and Cochran&#x2019;s Q statistics, with significant heterogeneity indicated by a <italic>p</italic>-value&#x202F;&#x2264;&#x202F;0.1 or <italic>I</italic><sup>2</sup>&#x202F;&#x2265;&#x202F;50% (<xref ref-type="bibr" rid="ref20">20</xref>). Predefined subgroup analyses examined variables such as follow-up duration, diagnostic criteria, ethnicity, and study design. Sensitivity analysis Sensitivity analyses will be conducted, excluding studies from the analysis one by one (<xref ref-type="bibr" rid="ref21">21</xref>). Given the limited studies per outcome, meta-regression analysis was not conducted to examine sources of heterogeneity. Begg&#x2019;s funnel plots were conducted to evaluate the publication bias qualitatively. A (Begg&#x2019;s) funnel plot was used to visually detect the presence of publication bias in the meta-analysis. Begg&#x2019;s test and Egger&#x2019;s test were performed to quantitatively assess the publication bias (<xref ref-type="bibr" rid="ref22">22</xref>). Statistical significance was defined as a two-tailed <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, with all analyses performed in STATA 11.0.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Literature screening process</title>
<p>A total of 986 articles were initially retrieved through the search (strategy detailed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Following duplicate removal, 745 unique articles remained, from which titles and abstracts were reviewed, yielding 251 for further analysis. Of these, 101 full texts underwent screening, and 61 articles were excluded for reasons specified in <xref ref-type="fig" rid="fig1">Figure 1</xref>. After additional exclusions of partially irrelevant or duplicate studies (<italic>n</italic>&#x202F;=&#x202F;2), 38 eligible articles were included. In SAVR patients, one article (<xref ref-type="bibr" rid="ref11">11</xref>) analyzed ORs, 2 examined HRs (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref19">19</xref>), 6 focused solely on prevalence (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref23 ref24 ref25 ref26">23&#x2013;26</xref>). For TAVR patients, 31 articles addressed prevalence (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref26 ref27 ref28 ref29 ref30 ref31 ref32 ref33 ref34 ref35 ref36 ref37 ref38 ref39 ref40 ref41 ref42 ref43 ref44 ref45 ref46 ref47 ref48 ref49 ref50 ref51 ref52">26&#x2013;52</xref>), 19 examined HRs (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref39 ref40 ref41">39&#x2013;41</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref51 ref52 ref53">51&#x2013;53</xref>), 5 focused solely on ORs (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). The identification process was illustrated in the flowchart in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow diagram of literature screening.</p>
</caption>
<graphic xlink:href="fnut-12-1529270-g001.tif">
<alt-text content-type="machine-generated">Flowchart of a literature review process. Identification: 986 records identified; 241 removed as duplicates. Screening: 745 records screened; 494 excluded. Eligibility: 251 full-text articles assessed; 150 excluded due to study type or other criteria. Inclusion: 40 studies in qualitative synthesis, with 38 included in quantitative synthesis (6 SAVR and 32 TAVR).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Literature characteristics</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> provides an overview of study characteristics included in this study. SAVR patients: Six studies contributed to the qualitative analysis, with all studies published post-2016. Among these, six studies used retrospective designs. Sample sizes ranged from 15 to 874, with patient ages averaging between 67 and 85&#x202F;years. The participant population covered diverse regions: three studies in Asia, and three in America. TAVR patients: Similarly, 32 studies were analyzed qualitatively, all published after 2016, comprising twenty-two retrospective and 10 prospective cohort studies. Sample sizes varied between 19 and 1,375, with a mean age range of 67 to 85&#x202F;years. NOS scores indicated moderate to high study quality. <xref ref-type="table" rid="tab1">Table 1</xref> also details the diagnostic criteria for sarcopenia commonly applied. Twenty-eight studies identified sarcopenia via diminished muscle mass measured by CT scan, one used ultrasound, and another employed the sarcopenia index. Two additional studies (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>) utilized low muscle strength (grip strength) and physical performance (gait speed) as sarcopenia indicators. This finding highlighted the limited use of comprehensive sarcopenia criteria (only 2 studies using combined muscle mass and strength/performance) is valuable and underscores a gap in standardization.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Study characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Study, year</th>
<th align="left" valign="top">Country</th>
<th align="left" valign="top">Study design</th>
<th align="left" valign="top">Study type</th>
<th align="center" valign="top">Mean/median age (years)</th>
<th align="center" valign="top">BMI (kg/m<sup>2</sup>)</th>
<th align="left" valign="top">STS score</th>
<th align="left" valign="top">Assessment of sarcopenia</th>
<th align="left" valign="top">Definition of sarcopenia</th>
<th align="center" valign="top" colspan="2">Prevalence of sarcopenia (<italic>n</italic>/<italic>N</italic>)</th>
<th align="center" valign="top">Study quality</th>
<th align="left" valign="top">Main outcomes</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">van Erck et al. (2024) (<xref ref-type="bibr" rid="ref27">27</xref>)</td>
<td align="left" valign="top">Netherlands</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.0&#x202F;&#x00B1;&#x202F;7.0</td>
<td align="center" valign="top">27.1&#x202F;&#x00B1;&#x202F;5.0</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMD</td>
<td align="left" valign="top">L3-SMD &#x003C;10.7&#x202F;HU in men, &#x003C;1.2&#x202F;HU in women</td>
<td align="center" valign="top">400</td>
<td align="center" valign="top">1,199</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Stein et al. (2024) (<xref ref-type="bibr" rid="ref16">16</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">82.9 (76.8&#x2013;87.4)</td>
<td align="center" valign="top">27.3 (24.1&#x2013;31.6)</td>
<td align="left" valign="top">3.66 (2.53&#x2013;5.39)</td>
<td align="left" valign="top">CT: L4-PMAi</td>
<td align="left" valign="top">L4-PMAi &#x003C;7.5&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;5.2&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">184</td>
<td align="center" valign="top">445</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Solla-Suarez et al. (2024) (<xref ref-type="bibr" rid="ref35">35</xref>) (Canada)</td>
<td align="left" valign="top">Spain</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">84.8&#x202F;&#x00B1;&#x202F;5.3</td>
<td align="center" valign="top">24.5&#x202F;&#x00B1;&#x202F;3.5</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L4-PMA</td>
<td align="left" valign="top">L4-PMA &#x003C;22&#x202F;cm<sup>2</sup> in men, &#x003C;12&#x202F;cm<sup>2</sup> in women</td>
<td align="center" valign="top">126</td>
<td align="center" valign="top">605</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Solla-Suarez et al. (2024) (<xref ref-type="bibr" rid="ref37">37</xref>) (Spain)</td>
<td align="left" valign="top">Spain</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">83.4&#x202F;&#x00B1;&#x202F;4.3</td>
<td align="center" valign="top">29.8&#x202F;&#x00B1;&#x202F;4.4</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">Grip strength; Vscan extend handheld ultrasound system (Total muscle thickness)</td>
<td align="left" valign="top">Grip strength &#x003C;27&#x202F;kg in men, &#x003C;16&#x202F;kg in women;<break/>Total muscle thickness &#x2265;28.3&#x202F;mm</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">150</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Persits et al. (2024) (<xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.6&#x202F;&#x00B1;&#x202F;7.7</td>
<td align="center" valign="top">28.7&#x202F;&#x00B1;&#x202F;5.8</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: T9-T12-SMI</td>
<td align="left" valign="top">T9-T12-SMI &#x003C;266.5&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;182.1&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">184</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Peka&#x0159; et al. (2024) (<xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="left" valign="top">Czech Republic</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">79.7 (74.9&#x2013;83.3)</td>
<td align="center" valign="top">28.9 (25.9&#x2013;32.6)</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;42.44&#x202F;cm<sup>2</sup>/m<sup>2</sup></td>
<td align="center" valign="top">322</td>
<td align="center" valign="top">866</td>
<td align="center" valign="top">5</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Demirel et al. (2024) (<xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="left" valign="top">Switzerland</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">82.8&#x202F;&#x00B1;&#x202F;5.95</td>
<td align="center" valign="top">25.6 (22.7&#x2013;29.7)</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-nTMA</td>
<td align="left" valign="top">NA</td>
<td align="center" valign="top">250</td>
<td align="center" valign="top">500</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Pesarini et al. (2023) (<xref ref-type="bibr" rid="ref42">42</xref>)</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">81.6&#x202F;&#x00B1;&#x202F;4.6</td>
<td align="center" valign="top">25.6</td>
<td align="left" valign="top">3.37</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">6</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Imamura et al. (2023) (<xref ref-type="bibr" rid="ref29">29</xref>)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">85.0 (83.0&#x2013;88.0)</td>
<td align="center" valign="top">21.7 (19.4&#x2013;24.4)</td>
<td align="left" valign="top">4.60 (3.9&#x2013;6.1)</td>
<td align="left" valign="top">CT: L3-PMAi</td>
<td align="left" valign="top">L3-PMAi &#x003C;10.7&#x202F;&#x00D7;&#x202F;10&#x202F;cm<sup>3</sup>/m<sup>2</sup></td>
<td align="center" valign="top">152</td>
<td align="center" valign="top">322</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Hecht et al. (2022) (<xref ref-type="bibr" rid="ref30">30</xref>)</td>
<td align="left" valign="top">Austria</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">83.03&#x202F;&#x00B1;&#x202F;4.68</td>
<td align="center" valign="top">25.80&#x202F;&#x00B1;&#x202F;4.19</td>
<td align="left" valign="top">3.19&#x202F;&#x00B1;&#x202F;1.87</td>
<td align="left" valign="top">CT: L3-PMAi</td>
<td align="left" valign="top">L3-PMAi &#x2264;757.16&#x202F;mm<sup>2</sup>/m<sup>2</sup> in men, &#x2264;569.88&#x202F;mm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">179</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Fukuda et al. (2022) (<xref ref-type="bibr" rid="ref23">23</xref>)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CCS</td>
<td align="center" valign="top">84.8&#x202F;&#x00B1;&#x202F;3.6</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">SMI, Grip strength, gait speed</td>
<td align="left" valign="top">Grip strength &#x003C;18&#x202F;kg or walking speed &#x003C;1.0&#x202F;m/s, and SMI&#x202F;&#x003C;&#x202F;5.7&#x202F;kg/m<sup>2</sup> only in females</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">5</td>
<td align="left" valign="top">A, B</td>
</tr>
<tr>
<td align="left" valign="top">Van de Velde-Van De Ginste et al. (2021) (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="top">Belgium</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">84.9&#x202F;&#x00B1;&#x202F;5.3</td>
<td align="center" valign="top">25.7&#x202F;&#x00B1;&#x202F;4.5</td>
<td align="left" valign="top">5.0&#x202F;&#x00B1;&#x202F;3.1</td>
<td align="left" valign="top">Gait speed and grip strength</td>
<td align="left" valign="top">Gait speed &#x003C;0.8&#x202F;m/s and<break/>Grip strength &#x003C;27&#x202F;kg in men, &#x003C;16&#x202F;kg in women</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">125</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Uchida et al. (2021) (<xref ref-type="bibr" rid="ref31">31</xref>)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">85.0&#x202F;&#x00B1;&#x202F;5.0</td>
<td align="center" valign="top">22.5&#x202F;&#x00B1;&#x202F;3.3</td>
<td align="left" valign="top">6.0&#x202F;&#x00B1;&#x202F;4.1</td>
<td align="left" valign="top">PMAi</td>
<td align="left" valign="top">NA</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Romeo et al. (2021) (<xref ref-type="bibr" rid="ref39">39</xref>)</td>
<td align="left" valign="top">Argentina</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">83.9&#x202F;&#x00B1;&#x202F;5.7</td>
<td align="center" valign="top">27.2&#x202F;&#x00B1;&#x202F;4.4</td>
<td align="left" valign="top">3.3&#x202F;&#x00B1;&#x202F;1.7</td>
<td align="left" valign="top">Sarcopenia index</td>
<td align="left" valign="top">SI &#x2264;66</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Tzeng et al. (2020) (<xref ref-type="bibr" rid="ref28">28</xref>)</td>
<td align="left" valign="top">Taiwan</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">79.2&#x202F;&#x00B1;&#x202F;7.8</td>
<td align="center" valign="top">23.9&#x202F;&#x00B1;&#x202F;3.9</td>
<td align="left" valign="top">11.03&#x202F;&#x00B1;&#x202F;3.9</td>
<td align="left" valign="top">CT: L3-SMD</td>
<td align="left" valign="top">10.4&#x202F;HU</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">182</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">van Mourik et al. (2019) (<xref ref-type="bibr" rid="ref32">32</xref>)</td>
<td align="left" valign="top">Netherlands</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">82.6</td>
<td align="center" valign="top">27.1</td>
<td align="left" valign="top">4.6</td>
<td align="left" valign="top">CT: L3-PMAi</td>
<td align="left" valign="top">9.1&#x202F;&#x00D7;&#x202F;10&#x202F;mm<sup>2</sup>/m<sup>2</sup></td>
<td align="center" valign="top">192</td>
<td align="center" valign="top">576</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Garg et al. (2017) (<xref ref-type="bibr" rid="ref33">33</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">83.3&#x202F;&#x00B1;&#x202F;6.5</td>
<td align="center" valign="top">28.1&#x202F;&#x00B1;&#x202F;5.6</td>
<td align="left" valign="top">6.9&#x202F;&#x00B1;&#x202F;3</td>
<td align="left" valign="top">CT: L3-PMAi</td>
<td align="left" valign="top">L3-PMA &#x003C;4.15&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;3.47&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">152</td>
<td align="center" valign="top">5</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Paknikar et al. (2016) (<xref ref-type="bibr" rid="ref26">26</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.0&#x202F;&#x00B1;&#x202F;8.9</td>
<td align="center" valign="top">29.6&#x202F;&#x00B1;&#x202F;7.1</td>
<td align="left" valign="top">6.5&#x202F;&#x00B1;&#x202F;4.5</td>
<td align="left" valign="top">CT: L4-TPA</td>
<td align="left" valign="top">NA</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">124</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">A, B</td>
</tr>
<tr>
<td align="left" valign="top">Gallone et al. (2022) (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">81.0&#x202F;&#x00B1;&#x202F;6.0</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">4.4&#x202F;&#x00B1;&#x202F;3.6</td>
<td align="left" valign="top">CT: L3-SMI, L3-PMA</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women;<break/>L3-PMA &#x003C;20.3&#x202F;cm<sup>2</sup> in men, &#x003C;11.8&#x202F;cm<sup>2</sup> in women</td>
<td align="center" valign="top">SMI: 192;<break/>PMA: 117</td>
<td align="center" valign="top">391</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Hsu et al. (2021) (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="top">Taiwan</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CCS</td>
<td align="center" valign="top">78.16&#x202F;&#x00B1;&#x202F;7.95</td>
<td align="center" valign="top">23.66&#x202F;&#x00B1;&#x202F;3.75</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">Calf circumference, grip strength, and gait speed</td>
<td align="left" valign="top">Handgrip strength &#x003C;27&#x202F;kg in men, &#x003C;16&#x202F;kg in women,<break/>Gait speed &#x2264;0.8&#x202F;m/s,<break/>Calf circumference &#x003C;34&#x202F;cm in men, &#x003C;33&#x202F;cm in women</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Brouessard et al. (2021) (<xref ref-type="bibr" rid="ref17">17</xref>)</td>
<td align="left" valign="top">France</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">26.4</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMI; Gait speed</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women;<break/>Gait speed measurement &#x2264;0.8&#x202F;m/s</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">182</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Brown et al. (2022) (<xref ref-type="bibr" rid="ref43">43</xref>)</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.7&#x202F;&#x00B1;&#x202F;9.6</td>
<td align="center" valign="top">29.2&#x202F;&#x00B1;&#x202F;13.8</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;52.6&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;40.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">468</td>
<td align="center" valign="top">9</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Yoon et al. (2021) (<xref ref-type="bibr" rid="ref44">44</xref>)</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">78.9&#x202F;&#x00B1;&#x202F;5.2</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">4.1&#x202F;&#x00B1;&#x202F;3.0</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x2264;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women, &#x2264;31.3&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men</td>
<td align="center" valign="top">174</td>
<td align="center" valign="top">522</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Tokuda et al. (2020) (<xref ref-type="bibr" rid="ref45">45</xref>)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">802</td>
<td align="center" valign="top">1,375</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Krishnan et al. (2019) (<xref ref-type="bibr" rid="ref34">34</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">82.0&#x202F;&#x00B1;&#x202F;8.0</td>
<td align="center" valign="top">27.9&#x202F;&#x00B1;&#x202F;10.0</td>
<td align="left" valign="top">7.1&#x202F;&#x00B1;&#x202F;5.5</td>
<td align="left" valign="top">CT: L3-SMI, L4-PMAi</td>
<td align="left" valign="top">L3-SMI &#x003C;50.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;35.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women;<break/>L4-PMAi &#x003C;12.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;8.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">151</td>
<td align="center" valign="top">381</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Heidari et al. (2019) (<xref ref-type="bibr" rid="ref18">18</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.9&#x202F;&#x00B1;&#x202F;8.9</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L4-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">374</td>
<td align="center" valign="top">602</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Nemec et al. (2017) (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">82.3&#x202F;&#x00B1;&#x202F;10.0</td>
<td align="center" valign="top">27.3&#x202F;&#x00B1;&#x202F;6.1</td>
<td align="left" valign="top">7.1&#x202F;&#x00B1;&#x202F;5.3</td>
<td align="left" valign="top">CT: L3, Th7 and Th12-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women;<break/>Th7-SMI &#x003C;46.5&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;32.3&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women; Th12-SMI &#x003C;42.6&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;30.6&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">157</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Mok et al. (2016) (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">80.0&#x202F;&#x00B1;&#x202F;8.0</td>
<td align="center" valign="top">26.8&#x202F;&#x00B1;&#x202F;5.8</td>
<td align="left" valign="top">6.9&#x202F;&#x00B1;&#x202F;3.9</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">293</td>
<td align="center" valign="top">460</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, D</td>
</tr>
<tr>
<td align="left" valign="top">Dahya et al. (2016) (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Prospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">81.0&#x202F;&#x00B1;&#x202F;10.0</td>
<td align="center" valign="top">28.0&#x202F;&#x00B1;&#x202F;5.0</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI &#x003C;55.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;39.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">B</td>
</tr>
<tr>
<td align="left" valign="top">Mirzai et al. (2023) (<xref ref-type="bibr" rid="ref19">19</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">67&#x202F;&#x00B1;&#x202F;9</td>
<td align="center" valign="top">27.1&#x202F;&#x00B1;&#x202F;4.8</td>
<td align="left" valign="top">6.7 (5.5&#x2013;12.2)</td>
<td align="left" valign="top">CT: pectoralis SMI</td>
<td align="left" valign="top">Pectoralis SMI&#x202F;&#x003C;&#x202F;9.16&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;6.21&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">133</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">B, C</td>
</tr>
<tr>
<td align="left" valign="top">Lee et al. (2022) (<xref ref-type="bibr" rid="ref11">11</xref>)</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">72 (68&#x2013;75)</td>
<td align="center" valign="top">24.2 (21.9&#x2013;26.3)</td>
<td align="left" valign="top">2.2 (1.6&#x2013;3.1)</td>
<td align="left" valign="top">CT: L3-SMI</td>
<td align="left" valign="top">L3-SMI&#x202F;&#x003C;&#x202F;55.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;39.0&#x202F;cm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">292</td>
<td align="center" valign="top">874</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">A, C</td>
</tr>
<tr>
<td align="left" valign="top">Kondo et al. (2022) (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">78.1&#x202F;&#x00B1;&#x202F;5.2</td>
<td align="center" valign="top">22.5&#x202F;&#x00B1;&#x202F;3.8</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L4-PMAi</td>
<td align="left" valign="top">L4-PMAi &#x003C;956&#x202F;mm<sup>2</sup>/m<sup>2</sup> in men, &#x003C;730&#x202F;mm<sup>2</sup>/m<sup>2</sup> in women</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">140</td>
<td align="center" valign="top">5</td>
<td align="left" valign="top">A</td>
</tr>
<tr>
<td align="left" valign="top">Hawkins et al. (2018) (<xref ref-type="bibr" rid="ref25">25</xref>)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">Retrospective</td>
<td align="left" valign="top">CS</td>
<td align="center" valign="top">81 (77&#x2013;85)</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">CT: L4-PMAi</td>
<td align="left" valign="top">NA</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">240</td>
<td align="center" valign="top">5</td>
<td align="left" valign="top">A</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; STS, Society of Thoracic Surgeons Predicted Risk of Mortality score; L3, 3rd lumbar vertebra; L4, 4th lumbar vertebra; T9, the ninth thoracic vertebra; T12, the twelfth thoracic vertebra; SMI, skeletal muscle index; SMD, skeletal muscle density; PMA, psoas muscle area; PMAi, indexed PMA; CS, cohort study; CCS, case&#x2013;control study; NA, not applicable; A, prevalence of sarcopenia in surgical aortic valve replacement; B, prevalence of sarcopenia in transcatheter aortic valve replacement; C, mortality risk in surgical aortic valve replacement; D, mortality risk in transcatheter aortic valve replacement.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>SAVR</title>
<sec id="sec16">
<label>3.3.1</label>
<title>Prevalence of sarcopenia</title>
<p>In the six studies analyzed, sarcopenia prevalence varied between 20.7 and 62.5% (<xref ref-type="table" rid="tab1">Table 1</xref>), with an overall pooled prevalence of 31.3% (95% CI 25.3&#x2013;37.6%) (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Subgroup analysis based on differing definitions of sarcopenia revealed substantial variation across groups. When defined by skeletal mass index (SMI), the prevalence was 38.2% (95% CI 28.5&#x2013;48.4%, three studies); for psoas muscle area index (PMAi), the prevalence was 23.4% (95% CI 19.2&#x2013;27.8%, two studies); and for TPA, a single study reported a prevalence of 32.5% (95% CI 25.1&#x2013;40.5%).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The pooled overall prevalence of sarcopenia in patients undergoing surgical aortic valve replacement. ES, effect size; 95%CI, 95% confidence interval; SMI, skeletal muscle index; PMAi, psoas muscle area index; TPA, total psoas area.</p>
</caption>
<graphic xlink:href="fnut-12-1529270-g002.tif">
<alt-text content-type="machine-generated">Forest plot showing effect sizes (ES) with 95% confidence intervals (CI) for various studies, organized by categories SMI, PMAi, and TPA. Each study has a weight percentage. Overall effect size is 0.313 (0.253, 0.376), with heterogeneity p-value at 0.007.</alt-text>
</graphic>
</fig>
<sec id="sec17">
<label>3.3.1.1</label>
<title>Publication bias and sensitivity analysis</title>
<p>Funnel plots, along with Egger&#x2019;s and Begg&#x2019;s tests, assessed potential selection bias in the literature. The funnel plot demonstrated symmetry (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1A</xref>), and both Egger&#x2019;s test (<italic>p</italic>&#x202F;=&#x202F;0.707) and Begg&#x2019;s test (<italic>p</italic>&#x202F;=&#x202F;0.828) indicated no significant publication bias. Sensitivity analysis, conducted by sequential exclusion of individual studies, revealed no statistically significant variation in outcomes, confirming the stability of the results (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1B</xref>).</p>
</sec>
</sec>
<sec id="sec18">
<label>3.3.2</label>
<title>Sarcopenia and mortality risk</title>
<sec id="sec19">
<label>3.3.2.1</label>
<title>HRs</title>
<p>Two studies (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref19">19</xref>) examined the correlation between sarcopenia and long-term mortality (&#x2265;1&#x202F;year) post-SAVR, presenting multivariate analysis results that identified sarcopenia as a significant predictor of elevated mortality risk, with a pooled adjusted HR of 3.10 (95% CI 2.00&#x2013;4.79, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>). Additionally, the included studies demonstrated minimal heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;0%, <italic>p</italic>&#x202F;=&#x202F;0.46).</p>
</sec>
<sec id="sec20">
<label>3.3.2.2</label>
<title>ORs</title>
<p>A study (<xref ref-type="bibr" rid="ref11">11</xref>) identified an association between sarcopenia and 30-day post-TAVR mortality. According to Lee SA, sarcopenia correlated with an increased short-term mortality risk, with an OR of 2.46 (95% CI: 1.63&#x2013;3.79, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</sec>
</sec>
</sec>
<sec id="sec21">
<label>3.4</label>
<title>TAVR</title>
<sec id="sec22">
<label>3.4.1</label>
<title>Prevalence of sarcopenia</title>
<p>In the 31 studies reviewed, sarcopenia prevalence varied from 15.4 to 83.3% (<xref ref-type="table" rid="tab1">Table 1</xref>), with a pooled estimate of 43.7% (95% CI, 38.6&#x2013;48.9%) (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Subgroup analysis by differing sarcopenia definitions revealed substantial variations across groups. Specifically, using SMI as the criterion, prevalence reached 50.1% (95% CI, 40.3&#x2013;58.9%, 20 studies); with psoas muscle area index (PMAi), prevalence was 41.1% (95% CI, 35.9&#x2013;46.4%, ten studies); psoas muscle area (PMA) indicated a prevalence of 37.3% (95% CI, 14.4&#x2013;63.8%, four studies); gait speed and grip strength showed a prevalence of 33.4% (95% CI, 27.0&#x2013;40.0%, two studies) (<xref ref-type="table" rid="tab2">Table 2</xref>). Among male patients, the prevalence was 50.5% (95% CI, 33.4&#x2013;67.5%) compared to 46.2% (95% CI, 36.4&#x2013;56.1%) in females, indicating a slightly higher incidence in males (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref>) (<xref ref-type="table" rid="tab2">Table 2</xref>). The results of subgroup analyses are shown in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The pooled overall prevalence of sarcopenia in patients undergoing transcatheter aortic valve replacement. ES, effect size; 95%CI, 95% confidence interval; SMI, skeletal muscle index; PMAi, psoas muscle area index; PMA, psoas muscle area.</p>
</caption>
<graphic xlink:href="fnut-12-1529270-g003.tif">
<alt-text content-type="machine-generated">Forest plot showing effect sizes (ES) and confidence intervals (CI) for various studies on skeletal muscle density, PMAi, PMA, others, SMI, and gait speed and grip strength. Each study is plotted with its ES, CI, and weight percentage. Blue diamonds represent subgroup and overall pooled estimates. Data indicates heterogeneity between groups, with the overall effect size being 0.437.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Subgroup analyses on the incidence of sarcopenia in different conditions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroup analysis (<italic>n</italic>)</th>
<th align="center" valign="top">ES (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top"><italic>I</italic><sup>2</sup> (%)</th>
<th align="center" valign="top"><italic>P</italic><sub>h</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Overall (43)</td>
<td align="center" valign="top">0.437 (0.386, 0.489)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">97.01%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Assessment of sarcopenia</td>
</tr>
<tr>
<td align="left" valign="top">SMI (20)</td>
<td align="center" valign="top">0.501 (0.413, 0.589)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">97.68%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">PMAi (10)</td>
<td align="center" valign="top">0.411 (0.359, 0.464)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">85.54%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">PMA (4)</td>
<td align="center" valign="top">0.373 (0.144, 0.638)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">98.91%</td>
<td align="center" valign="top">0.016</td>
</tr>
<tr>
<td align="left" valign="top">SMD (2)</td>
<td align="center" valign="top">0.342 (0.317, 0.367)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">97.20%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Gait speed and grip (2)</td>
<td align="center" valign="top">0.334 (0.270, 0.400)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">66.91%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Others (5)</td>
<td align="center" valign="top">0.355 (0.267, 0.448)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">90.50%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male (9)</td>
<td align="center" valign="top">0.505 (0.334, 0.675)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">98.34%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Female (10)</td>
<td align="center" valign="top">0.462 (0.364, 0.561)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">94.44%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mixed (24)</td>
<td align="center" valign="top">0.403 (0.343, 0.465)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">96.92%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Study design</td>
</tr>
<tr>
<td align="left" valign="top">Prospective (17)</td>
<td align="center" valign="top">0.497 (0.399, 0.595)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">97.20%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Retrospective (26)</td>
<td align="center" valign="top">0.402 (0.342, 0.464)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">97.00%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Ethnicity</td>
</tr>
<tr>
<td align="left" valign="top">Caucasian (31)</td>
<td align="center" valign="top">0.411 (0.351, 0.473)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">96.87%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Asian (11)</td>
<td align="center" valign="top">0.520 (0.436, 0.607)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">96.22%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Latino (1)</td>
<td align="center" valign="top">0.330 (0.239, 0.431)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SMI, skeletal muscle index; PMAi, psoas muscle area index; PMA, psoas muscle area; SMD, skeletal muscle density; <italic>P</italic><sub>h</sub>, <italic>P</italic><sub>heterogeneity</sub>; NA, not applicable; ES, effect size.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec23">
<label>3.4.1.1</label>
<title>Publication bias and sensitivity analysis</title>
<p>Potential publication bias in the literature selection was assessed through funnel plots, Egger&#x2019;s test, and Begg&#x2019;s test. Symmetry observed in the funnel plot (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 4A</xref>) suggested minimal bias. Neither Egger&#x2019;s test (<italic>p</italic>&#x202F;=&#x202F;0.507&#x202F;&#x003E;&#x202F;0.05) nor Begg&#x2019;s test (<italic>p</italic>&#x202F;=&#x202F;0.121&#x202F;&#x003E;&#x202F;0.05) yielded statistically significant results, confirming an absence of notable publication bias. After sequentially excluding individual studies, sensitivity analysis revealed no statistically significant impact on outcomes, affirming the stability of the results (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 4B</xref>).</p>
</sec>
</sec>
<sec id="sec24">
<label>3.4.2</label>
<title>Sarcopenia and mortality risk</title>
<sec id="sec25">
<label>3.4.2.1</label>
<title>HRs</title>
<p>Nineteen studies evaluated the link of sarcopenia to mortality risk following TAVR. All studies provided multivariable analysis, demonstrating a significant correlation between sarcopenia and increased mortality risk, with a pooled adjusted HR of 1.48 (95% CI 1.31&#x2013;1.68, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; <xref ref-type="fig" rid="fig4">Figure 4</xref>). Substantial heterogeneity was observed across studies (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;50.7%, <italic>p</italic>&#x202F;=&#x202F;0.001). Publication bias test used funnel plots, Egger&#x2019;s, and Begg&#x2019;s test (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 5A</xref>). After excluding 1 study at a time, sensitivity analysis showed no significant change in results, affirming the finding robustness (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 5B</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Forest plot for the association between sarcopenia and the risk of mortality after transcatheter aortic valve replacement (pooled HR value). HR, hazard ratio; 95%CI, 95% confidence interval.</p>
</caption>
<graphic xlink:href="fnut-12-1529270-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing hazard ratios (HR) with 95% confidence intervals (CI) for multiple studies. Studies are grouped by time periods: over two years, two years, six months, one year, and thirty days. HR values, CIs, and percentage weights are listed next to each study. The overall HR is 1.48, with a CI of 1.31 to 1.68. Study weights derive from random effects analysis. Various diamonds indicate subgroup summaries and the overall result.</alt-text>
</graphic>
</fig>
<p>Furthermore, this study identified that follow-up duration influenced mortality risk in sarcopenic patients, with longer follow-up times correlating with higher risk. For patients with follow-up exceeding 2&#x202F;years, sarcopenia was linked to a HR of 1.25 (95% CI 1.09&#x2013;1.44, <italic>p</italic>&#x202F;=&#x202F;0.001) (<xref ref-type="fig" rid="fig4">Figure 4</xref>). In those followed up for exactly 2&#x202F;years, the mortality risk associated with sarcopenia rose further, with HR of 1.56 (95% CI 1.30&#x2013;1.87, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Patients with a 1-year follow-up exhibited a HR of 2.37 (95% CI 1.62&#x2013;3.48, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), while for a 6-month follow-up, the HR was 1.59 (95% CI 1.15&#x2013;2.20, <italic>p</italic>&#x202F;=&#x202F;0.005) (<xref ref-type="fig" rid="fig4">Figure 4</xref>). One study reported a 30-day follow-up duration. However, Van de Velde-Van De Ginste et al. (<xref ref-type="bibr" rid="ref49">49</xref>) reported no significant association between sarcopenia and mortality risk in TAVR patients (HR&#x202F;=&#x202F;8.77, 95% CI 0.79&#x2013;97.07, <italic>p</italic>&#x202F;=&#x202F;0.077).</p>
<p>In addition, this study revealed that among the analyzed subgroups, variations in sarcopenia definitions (e.g., SMI or alternative criteria) may affect the association between sarcopenia and mortality risk. Patients with sarcopenia diagnosed through SMI exhibited a significantly elevated mortality risk, with HR of 1.43 (95% CI 1.25&#x2013;1.65, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab3">Table 3</xref>). Furthermore, sarcopenia identified via the PMAi method showed statistically significant correlation with mortality risk, reflected in a HR of 1.31 (95% CI 1.04&#x2013;1.64, <italic>p</italic>&#x202F;=&#x202F;0.022), as detailed in <xref ref-type="table" rid="tab3">Table 3</xref>. For patients diagnosed with sarcopenia using other diagnostic approaches (e.g., ultrasound, gait speed, grip strength, sarcopenia index, standardized PMA, PMA, muscle density), the condition remained significantly linked to increased mortality risk, yielding a HR of 1.92 (95% CI 1.42&#x2013;2.60, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="table" rid="tab3">Table 3</xref>). Notably, subgroup analysis by sex indicated no significant association between sarcopenia and mortality risk for either male (HR&#x202F;=&#x202F;1.15, 95% CI&#x202F;=&#x202F;0.93&#x2013;1.42, <italic>p</italic>&#x202F;=&#x202F;0.205) or female patients (HR&#x202F;=&#x202F;1.45, 95% CI&#x202F;=&#x202F;0.85&#x2013;2.48, <italic>p</italic>&#x202F;=&#x202F;0.176) (<xref ref-type="table" rid="tab3">Table 3</xref>). Additional subgroup analysis results were presented in <xref ref-type="table" rid="tab3">Table 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Subgroup analysis of the adjusted HR in patients with TAVR.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroup analysis (<italic>n</italic>)</th>
<th align="center" valign="top">ES (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top"><italic>I</italic><sup>2</sup> (%)</th>
<th align="center" valign="top"><italic>P</italic><sub>h</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Overall (26)</td>
<td align="center" valign="top">1.48 (1.31,1.68)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">50.7%</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Assessment of sarcopenia</td>
</tr>
<tr>
<td align="left" valign="top">SMI (9)</td>
<td align="center" valign="top">1.43 (1.25, 1.65)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">13.6%</td>
<td align="center" valign="top">0.321</td>
</tr>
<tr>
<td align="left" valign="top">PMAi (9)</td>
<td align="center" valign="top">1.31 (1.04, 1.64)</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">49.0%</td>
<td align="center" valign="top">0.047</td>
</tr>
<tr>
<td align="left" valign="top">Others (8)</td>
<td align="center" valign="top">1.92 (1.42, 2.60)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">52.1%</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male (4)</td>
<td align="center" valign="top">1.15 (0.93, 1.42)</td>
<td align="center" valign="top">0.205</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0.939</td>
</tr>
<tr>
<td align="left" valign="top">Female (4)</td>
<td align="center" valign="top">1.45 (0.85, 2.48)</td>
<td align="center" valign="top">0.176</td>
<td align="center" valign="top">72.3%</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Mixed (18)</td>
<td align="center" valign="top">1.59 (1.36, 1.85)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">53.4%</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Study design</td>
</tr>
<tr>
<td align="left" valign="top">Prospective (5)</td>
<td align="center" valign="top">1.29 (0.86, 1.94)</td>
<td align="center" valign="top">0.227</td>
<td align="center" valign="top">63.9%</td>
<td align="center" valign="top">0.026</td>
</tr>
<tr>
<td align="left" valign="top">Retrospective (21)</td>
<td align="center" valign="top">1.52 (1.33, 1.74)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">49.3%</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Ethnicity</td>
</tr>
<tr>
<td align="left" valign="top">Caucasian (21)</td>
<td align="center" valign="top">1.52 (1.31, 1.76)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">43.3%</td>
<td align="center" valign="top">0.019</td>
</tr>
<tr>
<td align="left" valign="top">Asian (5)</td>
<td align="center" valign="top">1.39 (1.10, 1.75)</td>
<td align="center" valign="top">0.005</td>
<td align="center" valign="top">53.6%</td>
<td align="center" valign="top">0.097</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Follow up time</td>
</tr>
<tr>
<td align="left" valign="top">30&#x202F;days (1)</td>
<td align="center" valign="top">8.77 (0.79, 96.79)</td>
<td align="center" valign="top">0.077</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top">6&#x202F;months (2)</td>
<td align="center" valign="top">1.59 (1.15, 2.20)</td>
<td align="center" valign="top">0.005</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0.653</td>
</tr>
<tr>
<td align="left" valign="top">1&#x202F;year (8)</td>
<td align="center" valign="top">2.37 (1.62, 3.48)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">30.2%</td>
<td align="center" valign="top">0.187</td>
</tr>
<tr>
<td align="left" valign="top">2&#x202F;years (7)</td>
<td align="center" valign="top">1.56 (1.30, 1.87)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0.710</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;2&#x202F;years (8)</td>
<td align="center" valign="top">1.25 (1.09, 1.44)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">51.8%</td>
<td align="center" valign="top">0.043</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SMI, skeletal muscle index; PMAi, psoas muscle area index; <italic>P</italic><sub>h</sub>, <italic>P</italic><sub>heterogeneity</sub>; NA, not applicable; TAVR, transcatheter aortic valve replacement; HR, hazard ratio.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec26">
<label>3.4.2.2</label>
<title>ORs</title>
<p>Six studies examined the link of sarcopenia to short-term mortality (&#x2264;30&#x202F;days) following TAVR (<xref ref-type="fig" rid="fig5">Figure 5</xref>). No statistically significant association was found, with ORs spanning 0.73 to 1.75 and a pooled OR of 1.13 (95% CI 0.71&#x2013;1.80, <italic>p</italic>&#x202F;=&#x202F;0.616; <xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Forest plot for the association between sarcopenia and the risk of short-term mortality after transcatheter aortic valve replacement (pooled OR value). OR, odds ratio; 95%CI, 95% confidence interval.</p>
</caption>
<graphic xlink:href="fnut-12-1529270-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing odds ratios (OR) with 95% confidence intervals for six studies. Gallone G(SMI) (2022) and Gallone G(PMA) (2022) have ORs near one. Nemec U (2017) extends over 8, showing high variability. Heidari B (2019) and Garg L (2017) have ORs below one, indicating potential reduced odds. Tokuda T (2020) shows an OR of 1.75. The overall OR is 1.13. Weights for the studies vary, with Tokuda T (2020) having the highest weight at 27.92%. Heterogeneity I&#x00B2; is 0% with p = 0.881, suggesting low variability among studies.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec27">
<label>4</label>
<title>Discussion</title>
<p>This study presents the first comprehensive systematic review and meta-analysis evaluating sarcopenia prevalence among patients with aortic stenosis (SAVR/TAVR). Sarcopenia is notably prevalent and increases with advancing age, yet it remains underdiagnosed and its clinical significance is often undervalued (<xref ref-type="bibr" rid="ref54">54</xref>). Notably, patients selected for TAVR&#x2014;representing a high-risk, elderly demographic with severe aortic stenosis ineligible for SAVR&#x2014;exhibit a higher incidence of sarcopenia compared to SAVR patients. Clinicians are therefore encouraged to assess sarcopenia severity in both patient cohorts, as preoperative sarcopenia screening can enhance management planning and improve perioperative and postoperative risk assessment. Furthermore, this analysis explored the association between sarcopenia and patient outcomes across these surgical approaches, suggesting that sarcopenia may influence long-term postoperative mortality risk, potentially linked to frailty and malnutrition. Variability in diagnostic criteria likely contributed to differing sarcopenia prevalence rates across studies, but no significant disparity in sarcopenia prevalence was observed between the SAVR and TAVR groups. Additionally, race, sex, and study design were not found to impact sarcopenia prevalence.</p>
<p>Sarcopenia was initially defined as age-related skeletal muscle mass loss. More recently, it has been broadly characterized by both diminished muscle mass and reduced muscle strength (e.g., weak grip strength) and/or physical performance (e.g., slow gait speed) (<xref ref-type="bibr" rid="ref55">55</xref>). In cardiovascular research, however, sarcopenia is predominantly diagnosed based on skeletal muscle mass, typically assessed by measuring muscle area at L3 vertebra using CT imaging (<xref ref-type="bibr" rid="ref56">56</xref>). This method was employed by most studies included in the current review. A few studies, however, utilized chest CT scans at the thoracic vertebra levels T7 and T12 for muscle mass estimation. Given that CT scans in patients undergoing TAVR or SAVR are generally performed on the chest rather than the abdomen (<xref ref-type="bibr" rid="ref57">57</xref>), the link to skeletal muscle measurements at L3 and T12 becomes particularly relevant, with stronger associations observed between these two levels (<xref ref-type="bibr" rid="ref46">46</xref>). Further investigation is needed to establish the optimal threshold for defining sarcopenia using chest CT scans in TAVR and SAVR patients.</p>
<p>The prevalence of sarcopenia exhibited significant variability across studies in this meta-analysis, largely due to inconsistent cutoffs for low muscle mass. While cutoff values for sarcopenia are sex-specific, prevalence tends to be higher among male patients than female patients undergoing TAVR/SAVR, indicating a potential influence of sex on sarcopenia rates in this population. Prior research also suggests a stronger link between sarcopenia and functional decline in men compared to women (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref59">59</xref>), possibly due to the higher incidence of smoking among men. Cigarette smoke, rich in free radicals, induces oxidative stress in skeletal muscle (<xref ref-type="bibr" rid="ref60">60</xref>), and prolonged smoking contributes to neuromuscular junction degeneration (<xref ref-type="bibr" rid="ref61">61</xref>). In this meta-analysis, smoking status likely served as a confounding factor in the sex-based differences in sarcopenia prevalence; however, subgroup analyses by smoking status were not feasible due to a lack of sex-specific smoking data in the included studies. Future research should further investigate the impact of sex differences on sarcopenia.</p>
<p>In noncardiac procedures, such as elective spine surgery, sarcopenia independently predicts intensive care needs and postoperative transfusion requirements (<xref ref-type="bibr" rid="ref62">62</xref>). In cases of acute mesenteric ischemia, sarcopenic patients experience reduced postoperative complications and lower 30-day mortality rates (<xref ref-type="bibr" rid="ref63">63</xref>). Defined by psoas muscle mass, sarcopenia also serves as an independent predictor of 2-year mortality, major complications, and complication severity following major colorectal surgery (<xref ref-type="bibr" rid="ref64">64</xref>). As an objective indicator of frailty, sarcopenia reliably predicts early morbidity and mortality post-spine surgery (<xref ref-type="bibr" rid="ref53">53</xref>). In the context of cardiac surgery, sarcopenia correlates with poorer prognostic outcomes (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref65">65</xref>), including prolonged hospital stays among older adults (<xref ref-type="bibr" rid="ref66">66</xref>). Consequently, sarcopenia has been increasingly recognized as a relevant predictor of adverse outcomes in cardiac procedures. This study identified sarcopenia as a significant predictor of mortality risk following TAVR/SAVR procedures. While findings suggest a limited impact of sarcopenia on short-term mortality among these patients, this may be attributed to the limited sample size across included studies. Most studies assessed sarcopenia using the SMI method, associating it with an elevated risk of postoperative mortality. In subgroup analysis, nine studies using PMAi to diagnose sarcopenia yielded a pooled HR of 1.31, also indicating the significant association between sarcopenia and post-TAVR mortality risk. In this study, we further separated participants into subgroups for ethnicity stratified analysis. In either Asian population or Caucasian population, sarcopenia was broadly and robustly associated with a higher risk of mortality. The relationship between skeletal muscle mass and post-TAVR/SAVR mortality likely involves the vital role of skeletal muscle in frailty syndromes (<xref ref-type="bibr" rid="ref67">67</xref>), though underlying mechanisms remain poorly defined. Skeletal muscle serves as the primary amino acid reservoir, and depletion impairs several recovery-critical functions (<xref ref-type="bibr" rid="ref68">68</xref>). TAVR/SAVR patients with diminished muscle mass exhibit reduced muscle protein synthesis and heightened vulnerability to deconditioning post-intervention, exacerbated by inadequate nutrition and limited physical activity (<xref ref-type="bibr" rid="ref69">69</xref>). Emerging research indicating the anti-inflammatory and anti-apoptotic properties of skeletal muscle may offer insights into the observed outcomes (<xref ref-type="bibr" rid="ref70">70</xref>). Patients with sarcopenia, however, may derive limited benefit from these protective effects (<xref ref-type="bibr" rid="ref71">71</xref>). Post-operative muscle mass reduction extends beyond survival outcomes in TAVR/SAVR, as sarcopenic patients show an increased likelihood of requiring transfer to rehabilitation facilities (<xref ref-type="bibr" rid="ref33">33</xref>). Consequently, CT has become a valuable tool in assessing muscle mass, facilitating early identification of sarcopenic patients who may benefit from targeted interventions&#x2014;such as protein supplementation and physical rehabilitation&#x2014;to improve frailty status post-TAVR/SAVR. With advances in medicine, nanoparticles may hold promise for the diagnosis and treatment of sarcopenia (<xref ref-type="bibr" rid="ref72">72</xref>). Furthermore, several studies have shown positive impact of physical therapy and nutritional interventions on sarcopenia (<xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref74">74</xref>), suggesting that preoperative strategies, including exercise training and dietary supplementation, may enhance outcomes for patients undergoing TAVR.</p>
<p>In addition, sarcopenia demonstrated a strong association with elevated long-term mortality following TAVR/SAVR, aligning with evidence from patients undergoing other cardiac procedures, including heart valve surgery (<xref ref-type="bibr" rid="ref75">75</xref>), PCI (<xref ref-type="bibr" rid="ref76">76</xref>), and endovascular aneurysm repair (<xref ref-type="bibr" rid="ref77">77</xref>). Additionally, the studies analyzed indicated that sarcopenia served as an independent predictor of 1-year mortality risk, even after adjustments for STS scores and relevant covariates, reinforcing its value as a practical and accessible alternative to conventional risk scores in assessing TAVR/SAVR patients.</p>
<p>Analysis of studies included in this review indicated no significant link between sarcopenia and short-term (30-day) mortality in TAVR patients. This observation supports the view that short-term post-TAVR outcomes remain favorable and unaffected by sarcopenia, suggesting TAVR&#x2019;s safety across a wide patient demographic with varying degrees of muscle mass decline during short-term follow-up. However, this result contrasts with findings from other cardiac surgeries. For instance, Ganapathi et al. reported the association of frailty with discharge to other than home and 30-day mortality in proximal aortic surgery patients (<xref ref-type="bibr" rid="ref78">78</xref>), while Lee et al. (<xref ref-type="bibr" rid="ref11">11</xref>) found sarcopenia correlated with higher 30-day mortality and extended hospital stays. Given that only six studies in this meta-analysis assessed 30-day mortality, further research is needed to clarify these findings. Accordingly, future investigations should explore the relationship between sarcopenia, short-term mortality, and other adverse outcomes post-TAVR.</p>
<p>However, several limitations affect this meta-analysis. First, the analysis only included English-language publications, which may exclude relevant studies in other languages. Second, the studies employed varying definitions of sarcopenia, which were adopted in this review. Although most studies rely on CT-based sarcopenia assessments, discrepancies in scan locations and cutoff values across studies may have introduced bias, potentially contributing to publication bias. Notably, sex-specific cutoff values for sarcopenia have been previously derived through optimal stratification, with thresholds of 38.9&#x202F;cm<sup>2</sup>/m<sup>2</sup> (women) and 55.4&#x202F;cm<sup>2</sup>/m<sup>2</sup> (men) being widely adopted; however, cutoff values in post-SAVR/TAVR studies remain inconsistent. Finally, limited reporting on postoperative complications related to sarcopenia is due to limited studies evaluating early mortality, with such interpretations vulnerable to competing risks bias. Thus, while the observed effects of sarcopenia on early outcomes merit attention, further research is needed for this domain.</p>
</sec>
<sec sec-type="conclusions" id="sec28">
<label>5</label>
<title>Conclusion</title>
<p>In summary, the study reveals a high incidence of sarcopenia among SAVR/TAVR patients, correlating with increased long-term mortality but showing no significant association with short-term mortality. While existing guidelines advocate preoperative body composition measurement and functional assessment as screening measures (<xref ref-type="bibr" rid="ref79">79</xref>), the findings support a stronger recommendation for pre-surgical muscle mass evaluation to enhance risk stratification and outcome prediction. Given the high prevalence and prognostic importance of sarcopenia in SAVR and TAVR patients, integrating nanoformulated therapies could offer a future-oriented, precision-based strategy to improve muscle health and reduce mortality. Future research should focus on translational applications of nanomedicine in cardiac geriatrics to bridge the gap between diagnosis and therapeutic efficacy in managing sarcopenia.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec29">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec30">
<title>Author contributions</title>
<p>JH: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec31">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Priming Scientific Research Foundation for the Introduced Talents of The First Affiliated Hospital of Chengdu Medical College (CYFY-GQ59).</p>
</sec>
<ack>
<p>I thank Bullet Edits Limited for the linguistic editing and proofreading of the manuscript. Moreover, the author thanks to Jiaqing Jiang, M.D. and Yan Wang, M.D. for their efforts in the cross-check of the results.</p>
</ack>
<sec sec-type="COI-statement" id="sec32">
<title>Conflict of interest</title>
<p>The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec33">
<title>Generative AI statement</title>
<p>The author declares that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec34">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec35">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1529270/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1529270/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.TIF" id="SM2" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_2.TIF" id="SM3" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_3.TIF" id="SM4" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_4.TIF" id="SM5" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_5.TIF" id="SM6" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://www.crd.york.ac.uk/PROSPERO/" ext-link-type="uri">https://www.crd.york.ac.uk/PROSPERO/</ext-link></p></fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choe</surname> <given-names>J</given-names></name> <name><surname>Koo</surname> <given-names>HJ</given-names></name> <name><surname>Kang</surname> <given-names>JW</given-names></name> <name><surname>Kim</surname> <given-names>JB</given-names></name> <name><surname>Kang</surname> <given-names>HJ</given-names></name> <name><surname>Yang</surname> <given-names>DH</given-names></name></person-group>. <article-title>Aortic annulus sizing in bicuspid and tricuspid aortic valves using CT in patients with surgical aortic valve replacement</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>21005</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-00406-3</pub-id>, PMID: <pub-id pub-id-type="pmid">34697359</pub-id></citation></ref>
<ref id="ref2"><label>2.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thongprayoon</surname> <given-names>C</given-names></name> <name><surname>Cheungpasitporn</surname> <given-names>W</given-names></name> <name><surname>Gillaspie</surname> <given-names>EA</given-names></name> <name><surname>Greason</surname> <given-names>KL</given-names></name> <name><surname>Kashani</surname> <given-names>KB</given-names></name></person-group>. <article-title>The risk of acute kidney injury following transapical versus transfemoral transcatheter aortic valve replacement: a systematic review and meta-analysis</article-title>. <source>Clin Kidney J</source>. (<year>2016</year>) <volume>9</volume>:<fpage>560</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ckj/sfw055</pub-id>, PMID: <pub-id pub-id-type="pmid">27478597</pub-id></citation></ref>
<ref id="ref3"><label>3.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lim</surname> <given-names>SJ</given-names></name> <name><surname>Koo</surname> <given-names>HJ</given-names></name> <name><surname>Jung</surname> <given-names>SC</given-names></name> <name><surname>Kang</surname> <given-names>DY</given-names></name> <name><surname>Ahn</surname> <given-names>JM</given-names></name> <name><surname>Park</surname> <given-names>DW</given-names></name> <etal/></person-group>. <article-title>Sinus of Valsalva thrombosis detected on computed tomography after Transcatheter aortic valve replacement</article-title>. <source>Korean Circ J</source>. (<year>2020</year>) <volume>50</volume>:<fpage>572</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.4070/kcj.2019.0385</pub-id>, PMID: <pub-id pub-id-type="pmid">32281322</pub-id></citation></ref>
<ref id="ref4"><label>4.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rumsfeld</surname> <given-names>JS</given-names></name> <name><surname>MaWhinney</surname> <given-names>S</given-names></name> <name><surname>McCarthy</surname> <given-names>M</given-names> <suffix>Jr</suffix></name> <name><surname>Shroyer</surname> <given-names>AL</given-names></name> <name><surname>VillaNueva</surname> <given-names>CB</given-names></name> <name><surname>O'Brien</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Health-related quality of life as a predictor of mortality following coronary artery bypass graft surgery. Participants of the Department of Veterans Affairs Cooperative Study Group on processes, structures, and outcomes of Care in Cardiac Surgery</article-title>. <source>JAMA</source>. (<year>1999</year>) <volume>281</volume>:<fpage>1298</fpage>&#x2013;<lpage>303</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jama.281.14.1298</pub-id></citation></ref>
<ref id="ref5"><label>5.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kao</surname> <given-names>CC</given-names></name> <name><surname>Yang</surname> <given-names>ZY</given-names></name> <name><surname>Chen</surname> <given-names>WL</given-names></name></person-group>. <article-title>Association between protoporphyrin IX and sarcopenia: a cross sectional study</article-title>. <source>BMC Geriatr</source>. (<year>2021</year>) <volume>21</volume>:<fpage>384</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12877-021-02331-6</pub-id>, PMID: <pub-id pub-id-type="pmid">34174837</pub-id></citation></ref>
<ref id="ref6"><label>6.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Petermann-Rocha</surname> <given-names>F</given-names></name> <name><surname>Balntzi</surname> <given-names>V</given-names></name> <name><surname>Gray</surname> <given-names>SR</given-names></name> <name><surname>Lara</surname> <given-names>J</given-names></name> <name><surname>Ho</surname> <given-names>FK</given-names></name> <name><surname>Pell</surname> <given-names>JP</given-names></name> <etal/></person-group>. <article-title>Global prevalence of sarcopenia and severe sarcopenia: a systematic review and meta-analysis</article-title>. <source>J Cachexia Sarcopenia Muscle</source>. (<year>2022</year>) <volume>13</volume>:<fpage>86</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jcsm.12783</pub-id>, PMID: <pub-id pub-id-type="pmid">34816624</pub-id></citation></ref>
<ref id="ref7"><label>7.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sohrabi</surname> <given-names>E</given-names></name> <name><surname>Rezaie</surname> <given-names>E</given-names></name> <name><surname>Heiat</surname> <given-names>M</given-names></name> <name><surname>Sefidi-Heris</surname> <given-names>Y</given-names></name></person-group>. <article-title>An integrated data analysis of mRNA, miRNA and signaling pathways in pancreatic Cancer</article-title>. <source>Biochem Genet</source>. (<year>2021</year>) <volume>59</volume>:<fpage>1326</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10528-021-10062-x</pub-id>, PMID: <pub-id pub-id-type="pmid">33813720</pub-id></citation></ref>
<ref id="ref8"><label>8.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wong</surname> <given-names>A</given-names></name> <name><surname>Frishman</surname> <given-names>W</given-names></name></person-group>. <article-title>Sarcopenia and cardiac dysfunction</article-title>. <source>Cardiol Rev</source>. (<year>2020</year>) <volume>28</volume>:<fpage>197</fpage>&#x2013;<lpage>202</lpage>. doi: <pub-id pub-id-type="doi">10.1097/crd.0000000000000285</pub-id>, PMID: <pub-id pub-id-type="pmid">31868771</pub-id></citation></ref>
<ref id="ref9"><label>9.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>X</given-names></name> <name><surname>Liu</surname> <given-names>Z</given-names></name> <name><surname>Chen</surname> <given-names>F</given-names></name> <name><surname>Du</surname> <given-names>T</given-names></name></person-group>. <article-title>Sarcopenia modifies the associations of nonalcoholic fatty liver disease with all-cause and cardiovascular mortality among older adults</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>15647</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-95108-1</pub-id>, PMID: <pub-id pub-id-type="pmid">34341404</pub-id></citation></ref>
<ref id="ref10"><label>10.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cheong</surname> <given-names>MJ</given-names></name> <name><surname>Kang</surname> <given-names>Y</given-names></name> <name><surname>Kim</surname> <given-names>S</given-names></name> <name><surname>Kang</surname> <given-names>HW</given-names></name></person-group>. <article-title>Systematic review of diagnostic tools and interventions for sarcopenia</article-title>. <source>Healthcare (Basel)</source>. (<year>2022</year>) <volume>10</volume>:<fpage>10</fpage>. doi: <pub-id pub-id-type="doi">10.3390/healthcare10020199</pub-id>, PMID: <pub-id pub-id-type="pmid">35206814</pub-id></citation></ref>
<ref id="ref11"><label>11.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>SA</given-names></name> <name><surname>Jang</surname> <given-names>IY</given-names></name> <name><surname>Park</surname> <given-names>SY</given-names></name> <name><surname>Kim</surname> <given-names>KW</given-names></name> <name><surname>Park</surname> <given-names>DW</given-names></name> <name><surname>Kim</surname> <given-names>HJ</given-names></name> <etal/></person-group>. <article-title>Benefit of sarcopenia screening in older patients undergoing surgical aortic valve replacement</article-title>. <source>Ann Thorac Surg</source>. (<year>2022</year>) <volume>113</volume>:<fpage>2018</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.athoracsur.2021.06.067</pub-id>, PMID: <pub-id pub-id-type="pmid">34332995</pub-id></citation></ref>
<ref id="ref12"><label>12.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>XM</given-names></name> <name><surname>Zhang</surname> <given-names>YH</given-names></name> <name><surname>Meng</surname> <given-names>CC</given-names></name> <name><surname>Fan</surname> <given-names>L</given-names></name> <name><surname>Wei</surname> <given-names>L</given-names></name> <name><surname>Li</surname> <given-names>YY</given-names></name> <etal/></person-group>. <article-title>Scale-based screening and assessment of age-related frailty</article-title>. <source>Front Public Health</source>. (<year>2024</year>) <volume>12</volume>:<fpage>1424613</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2024.1424613</pub-id>, PMID: <pub-id pub-id-type="pmid">39758207</pub-id></citation></ref>
<ref id="ref13"><label>13.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Afilalo</surname> <given-names>J</given-names></name> <name><surname>Lauck</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>DH</given-names></name> <name><surname>Lef&#x00E8;vre</surname> <given-names>T</given-names></name> <name><surname>Piazza</surname> <given-names>N</given-names></name> <name><surname>Lachapelle</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Frailty in older adults undergoing aortic valve replacement: the FRAILTY-AVR study</article-title>. <source>J Am Coll Cardiol</source>. (<year>2017</year>) <volume>70</volume>:<fpage>689</fpage>&#x2013;<lpage>700</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jacc.2017.06.024</pub-id>, PMID: <pub-id pub-id-type="pmid">28693934</pub-id></citation></ref>
<ref id="ref14"><label>14.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Puls</surname> <given-names>M</given-names></name> <name><surname>Sobisiak</surname> <given-names>B</given-names></name> <name><surname>Bleckmann</surname> <given-names>A</given-names></name> <name><surname>Jacobshagen</surname> <given-names>C</given-names></name> <name><surname>Danner</surname> <given-names>BC</given-names></name> <name><surname>H&#x00FC;nlich</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Impact of frailty on short- and long-term morbidity and mortality after transcatheter aortic valve implantation: risk assessment by Katz index of activities of daily living</article-title>. <source>EuroIntervention</source>. (<year>2014</year>) <volume>10</volume>:<fpage>609</fpage>&#x2013;<lpage>19</lpage>. doi: <pub-id pub-id-type="doi">10.4244/eijy14m08_03</pub-id>, PMID: <pub-id pub-id-type="pmid">25136880</pub-id></citation></ref>
<ref id="ref15"><label>15.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Landi</surname> <given-names>F</given-names></name> <name><surname>Calvani</surname> <given-names>R</given-names></name> <name><surname>Cesari</surname> <given-names>M</given-names></name> <name><surname>Tosato</surname> <given-names>M</given-names></name> <name><surname>Martone</surname> <given-names>AM</given-names></name> <name><surname>Bernabei</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Sarcopenia as the biological substrate of physical frailty</article-title>. <source>Clin Geriatr Med</source>. (<year>2015</year>) <volume>31</volume>:<fpage>367</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cger.2015.04.005</pub-id>, PMID: <pub-id pub-id-type="pmid">26195096</pub-id></citation></ref>
<ref id="ref16"><label>16.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stein</surname> <given-names>EJ</given-names></name> <name><surname>Neill</surname> <given-names>C</given-names></name> <name><surname>Nair</surname> <given-names>S</given-names></name> <name><surname>Terry</surname> <given-names>JG</given-names></name> <name><surname>Carr</surname> <given-names>JJ</given-names></name> <name><surname>Fearon</surname> <given-names>WF</given-names></name> <etal/></person-group>. <article-title>Associations of sarcopenia and body composition measures with mortality after Transcatheter aortic valve replacement</article-title>. <source>Circ Cardiovasc Interv</source>. (<year>2024</year>) <volume>17</volume>:<fpage>e013298</fpage>. doi: <pub-id pub-id-type="doi">10.1161/circinterventions.123.013298</pub-id>, PMID: <pub-id pub-id-type="pmid">38235547</pub-id></citation></ref>
<ref id="ref17"><label>17.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brouessard</surname> <given-names>C</given-names></name> <name><surname>Bobet</surname> <given-names>AS</given-names></name> <name><surname>Mathieu</surname> <given-names>M</given-names></name> <name><surname>Manigold</surname> <given-names>T</given-names></name> <name><surname>Arrigoni</surname> <given-names>PP</given-names></name> <name><surname>Le Tourneau</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Impact of severe sarcopenia on Rehospitalization and survival one year after a TAVR procedure in patients aged 75 and older</article-title>. <source>Clin Interv Aging</source>. (<year>2021</year>) <volume>16</volume>:<fpage>1285</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.2147/cia.S305635</pub-id>, PMID: <pub-id pub-id-type="pmid">34262268</pub-id></citation></ref>
<ref id="ref18"><label>18.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heidari</surname> <given-names>B</given-names></name> <name><surname>Al-Hijji</surname> <given-names>MA</given-names></name> <name><surname>Moynagh</surname> <given-names>MR</given-names></name> <name><surname>Takahashi</surname> <given-names>N</given-names></name> <name><surname>Welle</surname> <given-names>G</given-names></name> <name><surname>Eleid</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Transcatheter aortic valve replacement outcomes in patients with sarcopaenia</article-title>. <source>EuroIntervention</source>. (<year>2019</year>) <volume>15</volume>:<fpage>671</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.4244/eij-d-19-00110</pub-id></citation></ref>
<ref id="ref19"><label>19.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mirzai</surname> <given-names>S</given-names></name> <name><surname>Aleixo</surname> <given-names>GFP</given-names></name> <name><surname>Mazumder</surname> <given-names>S</given-names></name> <name><surname>Berglund</surname> <given-names>F</given-names></name> <name><surname>Patil</surname> <given-names>M</given-names></name> <name><surname>Layoun</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Sarcopenia evaluation on cardiac magnetic resonance imaging in older adults for outcomes prediction following surgical aortic valve replacement</article-title>. <source>Int J Cardiol</source>. (<year>2023</year>) <volume>391</volume>:<fpage>131216</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijcard.2023.131216</pub-id>, PMID: <pub-id pub-id-type="pmid">37499950</pub-id></citation></ref>
<ref id="ref20"><label>20.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>R</given-names></name> <name><surname>Tang</surname> <given-names>Z</given-names></name> <name><surname>Liu</surname> <given-names>F</given-names></name> <name><surname>Yang</surname> <given-names>M</given-names></name></person-group>. <article-title>Efficacy and safety of trimethoprim-sulfamethoxazole for the prevention of pneumocystis pneumonia in human immunodeficiency virus-negative immunodeficient patients: a systematic review and meta-analysis</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0248524</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0248524</pub-id>, PMID: <pub-id pub-id-type="pmid">33765022</pub-id></citation></ref>
<ref id="ref21"><label>21.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cavero-Redondo</surname> <given-names>I</given-names></name> <name><surname>Peleteiro</surname> <given-names>B</given-names></name> <name><surname>&#x00C1;lvarez-Bueno</surname> <given-names>C</given-names></name> <name><surname>Garrido-Miguel</surname> <given-names>M</given-names></name> <name><surname>Artero</surname> <given-names>EG</given-names></name> <name><surname>Martinez-Vizcaino</surname> <given-names>V</given-names></name></person-group>. <article-title>The effects of physical activity interventions on glycated haemoglobin A1c in non-diabetic populations: a protocol for a systematic review and meta-analysis</article-title>. <source>BMJ Open</source>. (<year>2017</year>) <volume>7</volume>:<fpage>e015801</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjopen-2016-015801</pub-id>, PMID: <pub-id pub-id-type="pmid">28729317</pub-id></citation></ref>
<ref id="ref22"><label>22.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yuan</surname> <given-names>HP</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name> <name><surname>Li</surname> <given-names>XH</given-names></name> <name><surname>Che</surname> <given-names>FG</given-names></name> <name><surname>Zhu</surname> <given-names>XQ</given-names></name> <name><surname>Yang</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Association of Adiponectin Polymorphism with metabolic syndrome risk and adiponectin level with stroke risk: a Meta-analysis</article-title>. <source>Sci Rep</source>. (<year>2016</year>) <volume>6</volume>:<fpage>31945</fpage>. doi: <pub-id pub-id-type="doi">10.1038/srep31945</pub-id>, PMID: <pub-id pub-id-type="pmid">27578536</pub-id></citation></ref>
<ref id="ref23"><label>23.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fukuda</surname> <given-names>T</given-names></name> <name><surname>Nakajima</surname> <given-names>T</given-names></name> <name><surname>Yazawa</surname> <given-names>H</given-names></name> <name><surname>Hirose</surname> <given-names>S</given-names></name> <name><surname>Yokomachi</surname> <given-names>J</given-names></name> <name><surname>Kato</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Relationship between the serum GDF-15 concentration and muscle function in female patients receiving aortic valve replacement (TAVR, SAVR): comparison with healthy elderly female subjects</article-title>. <source>Int J Cardiol Heart Vasc</source>. (<year>2022</year>) <volume>40</volume>:<fpage>101032</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijcha.2022.101032</pub-id>, PMID: <pub-id pub-id-type="pmid">35495578</pub-id></citation></ref>
<ref id="ref24"><label>24.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kondo</surname> <given-names>Y</given-names></name> <name><surname>Suzuki</surname> <given-names>T</given-names></name> <name><surname>Enomoto</surname> <given-names>M</given-names></name> <name><surname>Takashima</surname> <given-names>N</given-names></name> <name><surname>Kinoshita</surname> <given-names>T</given-names></name></person-group>. <article-title>Psoas muscle size, possible sarcopenia and frailty, and long-term survival in elderly patients after isolated surgical aortic valve replacement for aortic stenosis</article-title>. <source>Indian J Thorac Cardiovasc Surg</source>. (<year>2022</year>) <volume>38</volume>:<fpage>134</fpage>&#x2013;<lpage>41</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12055-021-01253-7</pub-id>, PMID: <pub-id pub-id-type="pmid">35210714</pub-id></citation></ref>
<ref id="ref25"><label>25.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hawkins</surname> <given-names>RB</given-names></name> <name><surname>Mehaffey</surname> <given-names>JH</given-names></name> <name><surname>Charles</surname> <given-names>EJ</given-names></name> <name><surname>Kern</surname> <given-names>JA</given-names></name> <name><surname>Lim</surname> <given-names>DS</given-names></name> <name><surname>Teman</surname> <given-names>NR</given-names></name> <etal/></person-group>. <article-title>Psoas muscle size predicts risk-adjusted outcomes after surgical aortic valve replacement</article-title>. <source>Ann Thorac Surg</source>. (<year>2018</year>) <volume>106</volume>:<fpage>39</fpage>&#x2013;<lpage>45</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.athoracsur.2018.02.010</pub-id>, PMID: <pub-id pub-id-type="pmid">29530777</pub-id></citation></ref>
<ref id="ref26"><label>26.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paknikar</surname> <given-names>R</given-names></name> <name><surname>Friedman</surname> <given-names>J</given-names></name> <name><surname>Cron</surname> <given-names>D</given-names></name> <name><surname>Deeb</surname> <given-names>GM</given-names></name> <name><surname>Chetcuti</surname> <given-names>S</given-names></name> <name><surname>Grossman</surname> <given-names>PM</given-names></name> <etal/></person-group>. <article-title>Psoas muscle size as a frailty measure for open and transcatheter aortic valve replacement</article-title>. <source>J Thorac Cardiovasc Surg</source>. (<year>2016</year>) <volume>151</volume>:<fpage>745</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jtcvs.2015.11.022</pub-id>, PMID: <pub-id pub-id-type="pmid">26896357</pub-id></citation></ref>
<ref id="ref27"><label>27.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>van Erck</surname> <given-names>D</given-names></name> <name><surname>Moeskops</surname> <given-names>P</given-names></name> <name><surname>Schoufour</surname> <given-names>JD</given-names></name> <name><surname>Weijs</surname> <given-names>PJM</given-names></name> <name><surname>Scholte Op Reimer</surname> <given-names>WJM</given-names></name> <name><surname>van Mourik</surname> <given-names>MS</given-names></name> <etal/></person-group>. <article-title>Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis</article-title>. <source>Clin Nutr ESPEN</source>. (<year>2024</year>) <volume>63</volume>:<fpage>142</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.clnesp.2024.06.013</pub-id>, PMID: <pub-id pub-id-type="pmid">38944828</pub-id></citation></ref>
<ref id="ref28"><label>28.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tzeng</surname> <given-names>YH</given-names></name> <name><surname>Wei</surname> <given-names>J</given-names></name> <name><surname>Tsao</surname> <given-names>TP</given-names></name> <name><surname>Lee</surname> <given-names>YT</given-names></name> <name><surname>Lee</surname> <given-names>KC</given-names></name> <name><surname>Liou</surname> <given-names>HR</given-names></name> <etal/></person-group>. <article-title>Computed tomography-determined muscle quality rather than muscle quantity is a better determinant of prolonged hospital length of stay in patients undergoing Transcatheter aortic valve implantation</article-title>. <source>Acad Radiol</source>. (<year>2020</year>) <volume>27</volume>:<fpage>381</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.acra.2019.05.007</pub-id>, PMID: <pub-id pub-id-type="pmid">31160174</pub-id></citation></ref>
<ref id="ref29"><label>29.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Imamura</surname> <given-names>T</given-names></name> <name><surname>Fujioka</surname> <given-names>H</given-names></name> <name><surname>Ushijima</surname> <given-names>R</given-names></name> <name><surname>Sobajima</surname> <given-names>M</given-names></name> <name><surname>Fukuda</surname> <given-names>N</given-names></name> <name><surname>Ueno</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Prognostic impact of psoas muscle mass index following trans-catheter aortic valve replacement</article-title>. <source>J Clin Med</source>. (<year>2023</year>) <volume>12</volume>:<fpage>3943</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm12123943</pub-id>, PMID: <pub-id pub-id-type="pmid">37373637</pub-id></citation></ref>
<ref id="ref30"><label>30.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hecht</surname> <given-names>S</given-names></name> <name><surname>Boxhammer</surname> <given-names>E</given-names></name> <name><surname>Kaufmann</surname> <given-names>R</given-names></name> <name><surname>Scharinger</surname> <given-names>B</given-names></name> <name><surname>Reiter</surname> <given-names>C</given-names></name> <name><surname>Kammler</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>CT-diagnosed sarcopenia and cardiovascular biomarkers in patients undergoing Transcatheter aortic valve replacement: is it possible to predict muscle loss based on laboratory tests?-a multicentric retrospective analysis</article-title>. <source>J Pers Med</source>. (<year>2022</year>) <volume>12</volume>:<fpage>1453</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jpm12091453</pub-id>, PMID: <pub-id pub-id-type="pmid">36143238</pub-id></citation></ref>
<ref id="ref31"><label>31.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Uchida</surname> <given-names>Y</given-names></name> <name><surname>Ishii</surname> <given-names>H</given-names></name> <name><surname>Tanaka</surname> <given-names>A</given-names></name> <name><surname>Yonekawa</surname> <given-names>J</given-names></name> <name><surname>Satake</surname> <given-names>A</given-names></name> <name><surname>Makino</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Impact of skeletal muscle mass on clinical outcomes in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement</article-title>. <source>Cardiovasc Interv Ther</source>. (<year>2021</year>) <volume>36</volume>:<fpage>514</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12928-020-00725-8</pub-id>, PMID: <pub-id pub-id-type="pmid">33128695</pub-id></citation></ref>
<ref id="ref32"><label>32.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>van Mourik</surname> <given-names>MS</given-names></name> <name><surname>Janmaat</surname> <given-names>YC</given-names></name> <name><surname>van Kesteren</surname> <given-names>F</given-names></name> <name><surname>Vendrik</surname> <given-names>J</given-names></name> <name><surname>Planken</surname> <given-names>RN</given-names></name> <name><surname>Henstra</surname> <given-names>MJ</given-names></name> <etal/></person-group>. <article-title>CT determined psoas muscle area predicts mortality in women undergoing transcatheter aortic valve implantation</article-title>. <source>Catheter Cardiovasc Interv</source>. (<year>2019</year>) <volume>93</volume>:<fpage>E248</fpage>&#x2013;<lpage>e254</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ccd.27823</pub-id>, PMID: <pub-id pub-id-type="pmid">30208263</pub-id></citation></ref>
<ref id="ref33"><label>33.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garg</surname> <given-names>L</given-names></name> <name><surname>Agrawal</surname> <given-names>S</given-names></name> <name><surname>Pew</surname> <given-names>T</given-names></name> <name><surname>Hanzel</surname> <given-names>GS</given-names></name> <name><surname>Abbas</surname> <given-names>AE</given-names></name> <name><surname>Gallagher</surname> <given-names>MJ</given-names></name> <etal/></person-group>. <article-title>Psoas muscle area as a predictor of outcomes in Transcatheter aortic valve implantation</article-title>. <source>Am J Cardiol</source>. (<year>2017</year>) <volume>119</volume>:<fpage>457</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amjcard.2016.10.019</pub-id>, PMID: <pub-id pub-id-type="pmid">27931723</pub-id></citation></ref>
<ref id="ref34"><label>34.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Krishnan</surname> <given-names>A</given-names></name> <name><surname>Suarez-Pierre</surname> <given-names>A</given-names></name> <name><surname>Zhou</surname> <given-names>X</given-names></name> <name><surname>Lin</surname> <given-names>CT</given-names></name> <name><surname>Fraser</surname> <given-names>CD</given-names> <suffix>3rd</suffix></name> <name><surname>Crawford</surname> <given-names>TC</given-names></name> <etal/></person-group>. <article-title>Comparing frailty markers in predicting poor outcomes after transcatheter aortic valve replacement</article-title>. <source>Innovations (Phila)</source>. (<year>2019</year>) <volume>14</volume>:<fpage>43</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1556984519827698</pub-id></citation></ref>
<ref id="ref35"><label>35.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Solla-Suarez</surname> <given-names>P</given-names></name> <name><surname>Arif</surname> <given-names>SG</given-names></name> <name><surname>Ahmad</surname> <given-names>F</given-names></name> <name><surname>Rastogi</surname> <given-names>N</given-names></name> <name><surname>Meng</surname> <given-names>A</given-names></name> <name><surname>Cohen</surname> <given-names>JM</given-names></name> <etal/></person-group>. <article-title>Osteosarcopenia and mortality in older adults undergoing Transcatheter aortic valve replacement</article-title>. <source>JAMA Cardiol</source>. (<year>2024</year>) <volume>9</volume>:<fpage>611</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jamacardio.2024.0911</pub-id>, PMID: <pub-id pub-id-type="pmid">38748410</pub-id></citation></ref>
<ref id="ref36"><label>36.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gallone</surname> <given-names>G</given-names></name> <name><surname>Depaoli</surname> <given-names>A</given-names></name> <name><surname>D'Ascenzo</surname> <given-names>F</given-names></name> <name><surname>Tore</surname> <given-names>D</given-names></name> <name><surname>Allois</surname> <given-names>L</given-names></name> <name><surname>Bruno</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Impact of computed-tomography defined sarcopenia on outcomes of older adults undergoing transcatheter aortic valve implantation</article-title>. <source>J Cardiovasc Comput Tomogr</source>. (<year>2022</year>) <volume>16</volume>:<fpage>207</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jcct.2021.12.001</pub-id>, PMID: <pub-id pub-id-type="pmid">34896066</pub-id></citation></ref>
<ref id="ref37"><label>37.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Solla-Suarez</surname> <given-names>P</given-names></name> <name><surname>Avanzas</surname> <given-names>P</given-names></name> <name><surname>Encuentra-Sopena</surname> <given-names>M</given-names></name> <name><surname>Almend&#x00E1;rez</surname> <given-names>M</given-names></name> <name><surname>&#x00C1;lvarez-Abella</surname> <given-names>&#x00C1;</given-names></name> <name><surname>&#x00C1;lvarez-Velasco</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Prognostic impact of muscle ultrasound-guided diagnosis of sarcopenia in older adults with severe aortic stenosis</article-title>. <source>Eur Geriatr Med</source>. (<year>2024</year>) <volume>15</volume>:<fpage>1645</fpage>&#x2013;<lpage>56</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s41999-024-01042-6</pub-id>, PMID: <pub-id pub-id-type="pmid">39227556</pub-id></citation></ref>
<ref id="ref38"><label>38.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Demirel</surname> <given-names>C</given-names></name> <name><surname>Rothenb&#x00FC;hler</surname> <given-names>CF</given-names></name> <name><surname>Huber</surname> <given-names>M</given-names></name> <name><surname>Schweizer</surname> <given-names>M</given-names></name> <name><surname>Todorski</surname> <given-names>I</given-names></name> <name><surname>Gloor</surname> <given-names>DA</given-names></name> <etal/></person-group>. <article-title>Total muscle area and visceral adipose tissue measurements for frailty assessment in TAVR patients</article-title>. <source>J Clin Med</source>. (<year>2024</year>) <volume>13</volume>:<fpage>1322</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm13051322</pub-id>, PMID: <pub-id pub-id-type="pmid">38592183</pub-id></citation></ref>
<ref id="ref39"><label>39.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Romeo</surname> <given-names>FJ</given-names></name> <name><surname>Chiabrando</surname> <given-names>JG</given-names></name> <name><surname>Seropian</surname> <given-names>IM</given-names></name> <name><surname>Raleigh</surname> <given-names>JV</given-names></name> <name><surname>de Chazal</surname> <given-names>HM</given-names></name> <name><surname>Garmendia</surname> <given-names>CM</given-names></name> <etal/></person-group>. <article-title>Sarcopenia index as a predictor of clinical outcomes in older patients undergoing transcatheter aortic valve replacement</article-title>. <source>Catheter Cardiovasc Interv</source>. (<year>2021</year>) <volume>98</volume>:<fpage>E889</fpage>&#x2013;<lpage>e896</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ccd.29799</pub-id>, PMID: <pub-id pub-id-type="pmid">34043281</pub-id></citation></ref>
<ref id="ref40"><label>40.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Persits</surname> <given-names>I</given-names></name> <name><surname>Mirzai</surname> <given-names>S</given-names></name> <name><surname>Sarnaik</surname> <given-names>KS</given-names></name> <name><surname>Volk</surname> <given-names>MC</given-names></name> <name><surname>Yun</surname> <given-names>J</given-names></name> <name><surname>Harb</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Sarcopenia and frailty in patients undergoing transcatheter aortic valve replacement</article-title>. <source>Am Heart J</source>. (<year>2024</year>) <volume>276</volume>:<fpage>49</fpage>&#x2013;<lpage>59</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ahj.2024.07.007</pub-id>, PMID: <pub-id pub-id-type="pmid">39032584</pub-id></citation></ref>
<ref id="ref41"><label>41.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Peka&#x0159;</surname> <given-names>M</given-names></name> <name><surname>Jiravsk&#x00FD;</surname> <given-names>O</given-names></name> <name><surname>Nov&#x00E1;k</surname> <given-names>J</given-names></name> <name><surname>Branny</surname> <given-names>P</given-names></name> <name><surname>Balu&#x0161;&#x00ED;k</surname> <given-names>J</given-names></name> <name><surname>Dani&#x0161;</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Sarcopenia and adipose tissue evaluation by artificial intelligence predicts the overall survival after TAVI</article-title>. <source>Sci Rep</source>. (<year>2024</year>) <volume>14</volume>:<fpage>8842</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-024-59134-z</pub-id>, PMID: <pub-id pub-id-type="pmid">38632317</pub-id></citation></ref>
<ref id="ref42"><label>42.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pesarini</surname> <given-names>G</given-names></name> <name><surname>Ruzzarin</surname> <given-names>A</given-names></name> <name><surname>Bonatti</surname> <given-names>M</given-names></name> <name><surname>Pescoller</surname> <given-names>F</given-names></name> <name><surname>Engl</surname> <given-names>P</given-names></name> <name><surname>Oberhollenzer</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Quality of life after transcatheter aortic valve replacement in sarcopenic patients using the Toronto aortic stenosis quality of life questionnaire</article-title>. <source>J Clin Med</source>. (<year>2023</year>) <volume>12</volume>:<fpage>2078</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm12052078</pub-id>, PMID: <pub-id pub-id-type="pmid">36902864</pub-id></citation></ref>
<ref id="ref43"><label>43.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname> <given-names>AD</given-names></name> <name><surname>Li</surname> <given-names>B</given-names></name> <name><surname>Gabriel</surname> <given-names>S</given-names></name> <name><surname>Cusimano</surname> <given-names>RJ</given-names></name> <name><surname>Chung</surname> <given-names>J</given-names></name> <name><surname>Horlick</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Association between sarcopenia and adverse events following Transcatheter aortic valve implantation</article-title>. <source>CJC Open</source>. (<year>2022</year>) <volume>4</volume>:<fpage>173</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cjco.2021.09.012</pub-id>, PMID: <pub-id pub-id-type="pmid">35198934</pub-id></citation></ref>
<ref id="ref44"><label>44.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoon</surname> <given-names>YH</given-names></name> <name><surname>Ko</surname> <given-names>Y</given-names></name> <name><surname>Kim</surname> <given-names>KW</given-names></name> <name><surname>Kang</surname> <given-names>DY</given-names></name> <name><surname>Ahn</surname> <given-names>JM</given-names></name> <name><surname>Ko</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Prognostic value of baseline sarcopenia on 1-year mortality in patients undergoing Transcatheter aortic valve implantation</article-title>. <source>Am J Cardiol</source>. (<year>2021</year>) <volume>139</volume>:<fpage>79</fpage>&#x2013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amjcard.2020.10.039</pub-id>, PMID: <pub-id pub-id-type="pmid">33164764</pub-id></citation></ref>
<ref id="ref45"><label>45.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tokuda</surname> <given-names>T</given-names></name> <name><surname>Yamamoto</surname> <given-names>M</given-names></name> <name><surname>Kagase</surname> <given-names>A</given-names></name> <name><surname>Koyama</surname> <given-names>Y</given-names></name> <name><surname>Otsuka</surname> <given-names>T</given-names></name> <name><surname>Tada</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Importance of combined assessment of skeletal muscle mass and density by computed tomography in predicting clinical outcomes after transcatheter aortic valve replacement</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2020</year>) <volume>36</volume>:<fpage>929</fpage>&#x2013;<lpage>38</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10554-020-01776-x</pub-id>, PMID: <pub-id pub-id-type="pmid">32040683</pub-id></citation></ref>
<ref id="ref46"><label>46.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nemec</surname> <given-names>U</given-names></name> <name><surname>Heidinger</surname> <given-names>B</given-names></name> <name><surname>Sokas</surname> <given-names>C</given-names></name> <name><surname>Chu</surname> <given-names>L</given-names></name> <name><surname>Eisenberg</surname> <given-names>RL</given-names></name></person-group>. <article-title>Diagnosing sarcopenia on thoracic computed tomography: quantitative assessment of skeletal muscle mass in patients undergoing transcatheter aortic valve replacement</article-title>. <source>Acad Radiol</source>. (<year>2017</year>) <volume>24</volume>:<fpage>1154</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.acra.2017.02.008</pub-id>, PMID: <pub-id pub-id-type="pmid">28365235</pub-id></citation></ref>
<ref id="ref47"><label>47.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mok</surname> <given-names>M</given-names></name> <name><surname>Allende</surname> <given-names>R</given-names></name> <name><surname>Leipsic</surname> <given-names>J</given-names></name> <name><surname>Altisent</surname> <given-names>OA</given-names></name> <name><surname>Del Trigo</surname> <given-names>M</given-names></name> <name><surname>Campelo-Parada</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Prognostic value of fat mass and skeletal muscle mass determined by computed tomography in patients who underwent transcatheter aortic valve implantation</article-title>. <source>Am J Cardiol</source>. (<year>2016</year>) <volume>117</volume>:<fpage>828</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amjcard.2015.12.015</pub-id>, PMID: <pub-id pub-id-type="pmid">26754122</pub-id></citation></ref>
<ref id="ref48"><label>48.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dahya</surname> <given-names>V</given-names></name> <name><surname>Xiao</surname> <given-names>J</given-names></name> <name><surname>Prado</surname> <given-names>CM</given-names></name> <name><surname>Burroughs</surname> <given-names>P</given-names></name> <name><surname>McGee</surname> <given-names>D</given-names></name> <name><surname>Silva</surname> <given-names>AC</given-names></name> <etal/></person-group>. <article-title>Computed tomography-derived skeletal muscle index: a novel predictor of frailty and hospital length of stay after transcatheter aortic valve replacement</article-title>. <source>Am Heart J</source>. (<year>2016</year>) <volume>182</volume>:<fpage>21</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ahj.2016.08.016</pub-id>, PMID: <pub-id pub-id-type="pmid">27914496</pub-id></citation></ref>
<ref id="ref49"><label>49.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van de Velde-Van De Ginste</surname> <given-names>S</given-names></name> <name><surname>Perkisas</surname> <given-names>S</given-names></name> <name><surname>Vermeersch</surname> <given-names>P</given-names></name> <name><surname>Vandewoude</surname> <given-names>M</given-names></name> <name><surname>De Cock</surname> <given-names>AM</given-names></name></person-group>. <article-title>Physical components of frailty in predicting mortality after transcatheter aortic valve implantation (TAVI)</article-title>. <source>Acta Cardiol</source>. (<year>2021</year>) <volume>76</volume>:<fpage>681</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1080/00015385.2020.1769346</pub-id>, PMID: <pub-id pub-id-type="pmid">32500842</pub-id></citation></ref>
<ref id="ref50"><label>50.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hsu</surname> <given-names>CI</given-names></name> <name><surname>Wei</surname> <given-names>J</given-names></name> <name><surname>Tung</surname> <given-names>HH</given-names></name> <name><surname>Peng</surname> <given-names>LN</given-names></name> <name><surname>Chen</surname> <given-names>LK</given-names></name> <name><surname>Liu</surname> <given-names>CY</given-names></name></person-group>. <article-title>Malnutrition, family support, and possible sarcopenia in patients undergoing Transcatheter aortic valve implantation</article-title>. <source>J Cardiovasc Nurs</source>. (<year>2021</year>) <volume>36</volume>:<fpage>565</fpage>&#x2013;<lpage>72</lpage>. doi: <pub-id pub-id-type="doi">10.1097/jcn.0000000000000819</pub-id>, PMID: <pub-id pub-id-type="pmid">34016837</pub-id></citation></ref>
<ref id="ref51"><label>51.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Soh</surname> <given-names>S</given-names></name> <name><surname>Suh</surname> <given-names>YJ</given-names></name> <name><surname>Lee</surname> <given-names>S</given-names></name> <name><surname>Roh</surname> <given-names>YH</given-names></name> <name><surname>Kwak</surname> <given-names>YL</given-names></name> <name><surname>Kim</surname> <given-names>YJ</given-names></name></person-group>. <article-title>Prognostic value of CT body composition analysis for 1-year mortality after transcatheter aortic valve replacement</article-title>. <source>Eur Radiol</source>. (<year>2025</year>) <volume>35</volume>:<fpage>244</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00330-024-10953-8</pub-id>, PMID: <pub-id pub-id-type="pmid">39023558</pub-id></citation></ref>
<ref id="ref52"><label>52.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kurazumi</surname> <given-names>H</given-names></name> <name><surname>Suzuki</surname> <given-names>R</given-names></name> <name><surname>Nawata</surname> <given-names>R</given-names></name> <name><surname>Matsunaga</surname> <given-names>K</given-names></name> <name><surname>Miyazaki</surname> <given-names>Y</given-names></name> <name><surname>Yamashita</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Effects of computed tomography-defined sarcopenia on patients undergoing transcatheter aortic valve implantation</article-title>. <source>Interdiscip Cardiovasc Thorac Surg</source>. (<year>2025</year>) <volume>40</volume>:<fpage>ivaf083</fpage>. doi: <pub-id pub-id-type="doi">10.1093/icvts/ivaf083</pub-id>, PMID: <pub-id pub-id-type="pmid">40434906</pub-id></citation></ref>
<ref id="ref53"><label>53.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saji</surname> <given-names>M</given-names></name> <name><surname>Lim</surname> <given-names>DS</given-names></name> <name><surname>Ragosta</surname> <given-names>M</given-names></name> <name><surname>LaPar</surname> <given-names>DJ</given-names></name> <name><surname>Downs</surname> <given-names>E</given-names></name> <name><surname>Ghanta</surname> <given-names>RK</given-names></name> <etal/></person-group>. <article-title>Usefulness of psoas muscle area to predict mortality in patients undergoing transcatheter aortic valve replacement</article-title>. <source>Am J Cardiol</source>. (<year>2016</year>) <volume>118</volume>:<fpage>251</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amjcard.2016.04.043</pub-id>, PMID: <pub-id pub-id-type="pmid">27236254</pub-id></citation></ref>
<ref id="ref54"><label>54.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Buckinx</surname> <given-names>F</given-names></name> <name><surname>Aubertin-Leheudre</surname> <given-names>M</given-names></name></person-group>. <article-title>Sarcopenia in menopausal women: current perspectives</article-title>. <source>Int J Women's Health</source>. (<year>2022</year>) <volume>14</volume>:<fpage>805</fpage>&#x2013;<lpage>19</lpage>. doi: <pub-id pub-id-type="doi">10.2147/ijwh.S340537</pub-id>, PMID: <pub-id pub-id-type="pmid">35769543</pub-id></citation></ref>
<ref id="ref55"><label>55.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ramadas</surname> <given-names>A</given-names></name> <name><surname>Law</surname> <given-names>HH</given-names></name> <name><surname>Krishnamoorthy</surname> <given-names>R</given-names></name> <name><surname>Ku</surname> <given-names>JWS</given-names></name> <name><surname>Mohanty</surname> <given-names>P</given-names></name> <name><surname>Lim</surname> <given-names>MZC</given-names></name> <etal/></person-group>. <article-title>Diet quality and measures of sarcopenia in developing economies: a systematic review</article-title>. <source>Nutrients</source>. (<year>2022</year>) <volume>14</volume>:<fpage>868</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu14040868</pub-id>, PMID: <pub-id pub-id-type="pmid">35215518</pub-id></citation></ref>
<ref id="ref56"><label>56.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Onishi</surname> <given-names>S</given-names></name> <name><surname>Tajika</surname> <given-names>M</given-names></name> <name><surname>Tanaka</surname> <given-names>T</given-names></name> <name><surname>Yamada</surname> <given-names>K</given-names></name> <name><surname>Kamiya</surname> <given-names>T</given-names></name> <name><surname>Abe</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Effect of body composition change during neoadjuvant chemotherapy for esophageal squamous cell carcinoma</article-title>. <source>J Clin Med</source>. (<year>2022</year>) <volume>11</volume>:<fpage>508</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm11030508</pub-id>, PMID: <pub-id pub-id-type="pmid">35159960</pub-id></citation></ref>
<ref id="ref57"><label>57.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Blanke</surname> <given-names>P</given-names></name> <name><surname>Weir-McCall</surname> <given-names>JR</given-names></name> <name><surname>Achenbach</surname> <given-names>S</given-names></name> <name><surname>Delgado</surname> <given-names>V</given-names></name> <name><surname>Hausleiter</surname> <given-names>J</given-names></name> <name><surname>Jilaihawi</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR): an expert consensus document of the Society of Cardiovascular Computed Tomography</article-title>. <source>JACC Cardiovasc Imaging</source>. (<year>2019</year>) <volume>12</volume>:<fpage>1</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jcmg.2018.12.003</pub-id>, PMID: <pub-id pub-id-type="pmid">30621986</pub-id></citation></ref>
<ref id="ref58"><label>58.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dey</surname> <given-names>DK</given-names></name> <name><surname>Bosaeus</surname> <given-names>I</given-names></name> <name><surname>Lissner</surname> <given-names>L</given-names></name> <name><surname>Steen</surname> <given-names>B</given-names></name></person-group>. <article-title>Changes in body composition and its relation to muscle strength in 75-year-old men and women: a 5-year prospective follow-up study of the NORA cohort in G&#x00F6;teborg, Sweden</article-title>. <source>Nutrition</source>. (<year>2009</year>) <volume>25</volume>:<fpage>613</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nut.2008.11.023</pub-id>, PMID: <pub-id pub-id-type="pmid">19211225</pub-id></citation></ref>
<ref id="ref59"><label>59.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maeda</surname> <given-names>D</given-names></name> <name><surname>Matsue</surname> <given-names>Y</given-names></name> <name><surname>Kagiyama</surname> <given-names>N</given-names></name> <name><surname>Jujo</surname> <given-names>K</given-names></name> <name><surname>Saito</surname> <given-names>K</given-names></name> <name><surname>Kamiya</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Sex differences in the prevalence and prognostic impact of physical frailty and sarcopenia among older patients with heart failure</article-title>. <source>Nutr Metab Cardiovasc Dis</source>. (<year>2022</year>) <volume>32</volume>:<fpage>365</fpage>&#x2013;<lpage>72</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.numecd.2021.10.012</pub-id>, PMID: <pub-id pub-id-type="pmid">34893406</pub-id></citation></ref>
<ref id="ref60"><label>60.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>SM</given-names></name> <name><surname>Chen</surname> <given-names>CH</given-names></name> <name><surname>Chen</surname> <given-names>YW</given-names></name> <name><surname>Yen</surname> <given-names>YC</given-names></name> <name><surname>Fang</surname> <given-names>WT</given-names></name> <name><surname>Tsai</surname> <given-names>FY</given-names></name> <etal/></person-group>. <article-title>Upregulation of CISD2 augments ROS homeostasis and contributes to tumorigenesis and poor prognosis of lung adenocarcinoma</article-title>. <source>Sci Rep</source>. (<year>2017</year>) <volume>7</volume>:<fpage>11893</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-017-12131-x</pub-id>, PMID: <pub-id pub-id-type="pmid">28928421</pub-id></citation></ref>
<ref id="ref61"><label>61.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kapchinsky</surname> <given-names>S</given-names></name> <name><surname>Vuda</surname> <given-names>M</given-names></name> <name><surname>Miguez</surname> <given-names>K</given-names></name> <name><surname>Elkrief</surname> <given-names>D</given-names></name> <name><surname>de Souza</surname> <given-names>AR</given-names></name> <name><surname>Baglole</surname> <given-names>CJ</given-names></name> <etal/></person-group>. <article-title>Smoke-induced neuromuscular junction degeneration precedes the fibre type shift and atrophy in chronic obstructive pulmonary disease</article-title>. <source>J Physiol</source>. (<year>2018</year>) <volume>596</volume>:<fpage>2865</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1113/jp275558</pub-id>, PMID: <pub-id pub-id-type="pmid">29663403</pub-id></citation></ref>
<ref id="ref62"><label>62.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pernik</surname> <given-names>MN</given-names></name> <name><surname>Hicks</surname> <given-names>WH</given-names></name> <name><surname>Akbik</surname> <given-names>OS</given-names></name> <name><surname>Nguyen</surname> <given-names>ML</given-names></name> <name><surname>Luu</surname> <given-names>I</given-names></name> <name><surname>Traylor</surname> <given-names>JI</given-names></name> <etal/></person-group>. <article-title>Psoas muscle index as a predictor of perioperative outcomes in geriatric patients undergoing spine surgery</article-title>. <source>Global Spine J</source>. (<year>2023</year>) <volume>13</volume>:<fpage>2016</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1177/21925682211072626</pub-id>, PMID: <pub-id pub-id-type="pmid">35034500</pub-id></citation></ref>
<ref id="ref63"><label>63.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname> <given-names>SL</given-names></name> <name><surname>Ye</surname> <given-names>XN</given-names></name> <name><surname>Lin</surname> <given-names>TT</given-names></name> <name><surname>Qiu</surname> <given-names>YH</given-names></name> <name><surname>Huang</surname> <given-names>JY</given-names></name> <name><surname>Zheng</surname> <given-names>XW</given-names></name> <etal/></person-group>. <article-title>The psoas muscle density as a predictor of postoperative complications and 30-day mortality for acute mesenteric ischemia patients</article-title>. <source>Abdom Radiol (NY)</source>. (<year>2022</year>) <volume>47</volume>:<fpage>1644</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00261-020-02714-0</pub-id>, PMID: <pub-id pub-id-type="pmid">32892241</pub-id></citation></ref>
<ref id="ref64"><label>64.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Batista</surname> <given-names>AFR</given-names></name> <name><surname>Petty</surname> <given-names>D</given-names></name> <name><surname>Fairhurst</surname> <given-names>C</given-names></name> <name><surname>Davies</surname> <given-names>S</given-names></name></person-group>. <article-title>Psoas muscle mass index as a predictor of long-term mortality and severity of complications after major intra-abdominal colorectal surgery - a retrospective analysis</article-title>. <source>J Clin Anesth</source>. (<year>2023</year>) <volume>84</volume>:<fpage>110995</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclinane.2022.110995</pub-id>, PMID: <pub-id pub-id-type="pmid">36371943</pub-id></citation></ref>
<ref id="ref65"><label>65.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Balsam</surname> <given-names>LB</given-names></name></person-group>. <article-title>Psoas muscle area: a new standard for frailty assessment in cardiac surgery?</article-title> <source>J Thorac Dis</source>. (<year>2018</year>) <volume>10</volume>:<fpage>S3846</fpage>&#x2013;<lpage>s3849</lpage>. doi: <pub-id pub-id-type="doi">10.21037/jtd.2018.10.96</pub-id>, PMID: <pub-id pub-id-type="pmid">30631495</pub-id></citation></ref>
<ref id="ref66"><label>66.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zuckerman</surname> <given-names>J</given-names></name> <name><surname>Ades</surname> <given-names>M</given-names></name> <name><surname>Mullie</surname> <given-names>L</given-names></name> <name><surname>Trnkus</surname> <given-names>A</given-names></name> <name><surname>Morin</surname> <given-names>JF</given-names></name> <name><surname>Langlois</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Psoas muscle area and length of stay in older adults undergoing cardiac operations</article-title>. <source>Ann Thorac Surg</source>. (<year>2017</year>) <volume>103</volume>:<fpage>1498</fpage>&#x2013;<lpage>504</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.athoracsur.2016.09.005</pub-id>, PMID: <pub-id pub-id-type="pmid">27863730</pub-id></citation></ref>
<ref id="ref67"><label>67.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Soud</surname> <given-names>M</given-names></name> <name><surname>Alahdab</surname> <given-names>F</given-names></name> <name><surname>Ho</surname> <given-names>G</given-names></name> <name><surname>Kuku</surname> <given-names>KO</given-names></name> <name><surname>Cejudo-Tejeda</surname> <given-names>M</given-names></name> <name><surname>Hideo-Kajita</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Usefulness of skeletal muscle area detected by computed tomography to predict mortality in patients undergoing transcatheter aortic valve replacement: a meta-analysis study</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2019</year>) <volume>35</volume>:<fpage>1141</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10554-019-01582-0</pub-id>, PMID: <pub-id pub-id-type="pmid">30915667</pub-id></citation></ref>
<ref id="ref68"><label>68.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfe</surname> <given-names>RR</given-names></name></person-group>. <article-title>Regulation of muscle protein by amino acids</article-title>. <source>J Nutr</source>. (<year>2002</year>) <volume>132</volume>:<fpage>3219s</fpage>&#x2013;<lpage>24s</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jn/131.10.3219S</pub-id>, PMID: <pub-id pub-id-type="pmid">12368421</pub-id></citation></ref>
<ref id="ref69"><label>69.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ferrucci</surname> <given-names>L</given-names></name> <name><surname>Maggio</surname> <given-names>M</given-names></name> <name><surname>Ceda</surname> <given-names>GP</given-names></name> <name><surname>Beghi</surname> <given-names>C</given-names></name> <name><surname>Valenti</surname> <given-names>G</given-names></name> <name><surname>De Cicco</surname> <given-names>G</given-names></name></person-group>. <article-title>Acute postoperative frailty</article-title>. <source>J Am Coll Surg</source>. (<year>2006</year>) <volume>203</volume>:<fpage>134</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jamcollsurg.2006.03.005</pub-id>, PMID: <pub-id pub-id-type="pmid">16798499</pub-id></citation></ref>
<ref id="ref70"><label>70.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kr&#x00F6;ger</surname> <given-names>H</given-names></name> <name><surname>Donner</surname> <given-names>I</given-names></name> <name><surname>Skiello</surname> <given-names>G</given-names></name></person-group>. <article-title>Influence of a new virostatic compound on the induction of enzymes in rat liver</article-title>. <source>Arzneimittelforschung</source>. (<year>1975</year>) <volume>25</volume>:<fpage>1426</fpage>&#x2013;<lpage>9</lpage>.</citation></ref>
<ref id="ref71"><label>71.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Otaka</surname> <given-names>N</given-names></name> <name><surname>Shibata</surname> <given-names>R</given-names></name> <name><surname>Ohashi</surname> <given-names>K</given-names></name> <name><surname>Uemura</surname> <given-names>Y</given-names></name> <name><surname>Kambara</surname> <given-names>T</given-names></name> <name><surname>Enomoto</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Myonectin is an exercise-induced Myokine that protects the heart from ischemia-reperfusion injury</article-title>. <source>Circ Res</source>. (<year>2018</year>) <volume>123</volume>:<fpage>1326</fpage>&#x2013;<lpage>38</lpage>. doi: <pub-id pub-id-type="doi">10.1161/circresaha.118.313777</pub-id>, PMID: <pub-id pub-id-type="pmid">30566056</pub-id></citation></ref>
<ref id="ref72"><label>72.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pattnaik</surname> <given-names>S</given-names></name> <name><surname>Thalluri</surname> <given-names>C</given-names></name> <name><surname>Swain</surname> <given-names>K</given-names></name></person-group>. <article-title>Rise of gold nanoparticles as carriers of therapeutic agents</article-title>. <source>Acta Chim Slov</source>. (<year>2023</year>) <volume>70</volume>:<fpage>467</fpage>&#x2013;<lpage>78</lpage>. doi: <pub-id pub-id-type="doi">10.17344/acsi.2023.8216</pub-id>, PMID: <pub-id pub-id-type="pmid">38124649</pub-id></citation></ref>
<ref id="ref73"><label>73.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Orsso</surname> <given-names>CE</given-names></name> <name><surname>Montes-Ibarra</surname> <given-names>M</given-names></name> <name><surname>Findlay</surname> <given-names>M</given-names></name> <name><surname>van der Meij</surname> <given-names>BS</given-names></name> <name><surname>de van der Schueren</surname> <given-names>MAE</given-names></name> <name><surname>Landi</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Mapping ongoing nutrition intervention trials in muscle, sarcopenia, and cachexia: a scoping review of future research</article-title>. <source>J Cachexia Sarcopenia Muscle</source>. (<year>2022</year>) <volume>13</volume>:<fpage>1442</fpage>&#x2013;<lpage>59</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jcsm.12954</pub-id>, PMID: <pub-id pub-id-type="pmid">35301816</pub-id></citation></ref>
<ref id="ref74"><label>74.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Geng</surname> <given-names>Q</given-names></name> <name><surname>Zhai</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>L</given-names></name> <name><surname>Wei</surname> <given-names>H</given-names></name> <name><surname>Hou</surname> <given-names>S</given-names></name></person-group>. <article-title>The efficacy of different interventions in the treatment of sarcopenia in middle-aged and elderly people: a network meta-analysis</article-title>. <source>Medicine (Baltimore)</source>. (<year>2023</year>) <volume>102</volume>:<fpage>e34254</fpage>. doi: <pub-id pub-id-type="doi">10.1097/md.0000000000034254</pub-id>, PMID: <pub-id pub-id-type="pmid">37417618</pub-id></citation></ref>
<ref id="ref75"><label>75.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Okamura</surname> <given-names>H</given-names></name> <name><surname>Kimura</surname> <given-names>N</given-names></name> <name><surname>Tanno</surname> <given-names>K</given-names></name> <name><surname>Mieno</surname> <given-names>M</given-names></name> <name><surname>Matsumoto</surname> <given-names>H</given-names></name> <name><surname>Yamaguchi</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>The impact of preoperative sarcopenia, defined based on psoas muscle area, on long-term outcomes of heart valve surgery</article-title>. <source>J Thorac Cardiovasc Surg</source>. (<year>2019</year>) <volume>157</volume>:<fpage>1071</fpage>&#x2013;<lpage>1079.e3</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jtcvs.2018.06.098</pub-id>, PMID: <pub-id pub-id-type="pmid">30139644</pub-id></citation></ref>
<ref id="ref76"><label>76.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kang</surname> <given-names>DO</given-names></name> <name><surname>Park</surname> <given-names>SY</given-names></name> <name><surname>Choi</surname> <given-names>BG</given-names></name> <name><surname>Na</surname> <given-names>JO</given-names></name> <name><surname>Choi</surname> <given-names>CU</given-names></name> <name><surname>Kim</surname> <given-names>EJ</given-names></name> <etal/></person-group>. <article-title>Prognostic impact of low skeletal muscle mass on major adverse cardiovascular events in coronary artery disease: a propensity score-matched analysis of a single center all-comer cohort</article-title>. <source>J Clin Med</source>. (<year>2019</year>) <volume>8</volume>:<fpage>712</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm8050712</pub-id>, PMID: <pub-id pub-id-type="pmid">31109123</pub-id></citation></ref>
<ref id="ref77"><label>77.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hale</surname> <given-names>AL</given-names></name> <name><surname>Twomey</surname> <given-names>K</given-names></name> <name><surname>Ewing</surname> <given-names>JA</given-names></name> <name><surname>Langan</surname> <given-names>EM</given-names> <suffix>3rd</suffix></name> <name><surname>Cull</surname> <given-names>DL</given-names></name> <name><surname>Gray</surname> <given-names>BH</given-names></name></person-group>. <article-title>Impact of sarcopenia on long-term mortality following endovascular aneurysm repair</article-title>. <source>Vasc Med</source>. (<year>2016</year>) <volume>21</volume>:<fpage>217</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1358863x15624025</pub-id>, PMID: <pub-id pub-id-type="pmid">26850115</pub-id></citation></ref>
<ref id="ref78"><label>78.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ganapathi</surname> <given-names>AM</given-names></name> <name><surname>Englum</surname> <given-names>BR</given-names></name> <name><surname>Hanna</surname> <given-names>JM</given-names></name> <name><surname>Schechter</surname> <given-names>MA</given-names></name> <name><surname>Gaca</surname> <given-names>JG</given-names></name> <name><surname>Hurwitz</surname> <given-names>LM</given-names></name> <etal/></person-group>. <article-title>Frailty and risk in proximal aortic surgery</article-title>. <source>J Thorac Cardiovasc Surg</source>. (<year>2014</year>) <volume>147</volume>:<fpage>186</fpage>&#x2013;<lpage>191.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jtcvs.2013.09.011</pub-id>, PMID: <pub-id pub-id-type="pmid">24183336</pub-id></citation></ref>
<ref id="ref79"><label>79.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baumgartner</surname> <given-names>H</given-names></name> <name><surname>Falk</surname> <given-names>V</given-names></name> <name><surname>Bax</surname> <given-names>JJ</given-names></name> <name><surname>De Bonis</surname> <given-names>M</given-names></name> <name><surname>Hamm</surname> <given-names>C</given-names></name> <name><surname>Holm</surname> <given-names>PJ</given-names></name> <etal/></person-group>. <article-title>2017 ESC/EACTS guidelines for the management of valvular heart disease</article-title>. <source>Eur Heart J</source>. (<year>2017</year>) <volume>38</volume>:<fpage>2739</fpage>&#x2013;<lpage>91</lpage>. doi: <pub-id pub-id-type="doi">10.1093/eurheartj/ehx391</pub-id>, PMID: <pub-id pub-id-type="pmid">28886619</pub-id></citation></ref>
</ref-list>
</back>
</article>