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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id><journal-title-group>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2025.1631314</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic value of neutrophil to lymphocyte ratio in patients with aortic dissection: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Lilong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3071610/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Wen</surname><given-names>Cheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3246876/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author"><name><surname>Xie</surname><given-names>Linyang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3325865/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Wu</surname><given-names>Huaping</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/3134184/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>School of Clinical Medicine, North Sichuan Medical College</institution>, <city>Nanchong</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Vascular Surgery, Dazhou Central Hospital</institution>, <city>Dazhou</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine</institution>, <city>Chengdu</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Huaping Wu <email xlink:href="mailto:dazhou_huaping@163.com">dazhou_huaping@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-08"><day>08</day><month>01</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1631314</elocation-id>
<history>
<date date-type="received"><day>19</day><month>05</month><year>2025</year></date>
<date date-type="rev-recd"><day>04</day><month>12</month><year>2025</year></date>
<date date-type="accepted"><day>16</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Li, Wen, Xie and Wu.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Li, Wen, Xie and Wu</copyright-holder><license><ali:license_ref start_date="2026-01-08">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Aortic dissection (AD) is a highly fatal cardiovascular condition, with mortality exceeding 50&#x0025; within the first 24&#x2005;h and postoperative mortality approaching 30&#x0025;. Inflammatory mechanisms have been implicated in AD pathogenesis, but the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) remains uncertain. This study aimed to synthesize available evidence on NLR as a predictor of adverse outcomes in AD and to inform hypotheses for future research.</p>
</sec><sec><title>Methods</title>
<p>Following PRISMA 2020 guidance, a systematic search was conducted in Web of Science, PubMed, Embase, and the Cochrane Library through December 2024. Study selection, data extraction, and quality assessment were performed independently by two reviewers. Pooled odds ratios (ORs) and 95&#x0025; confidence intervals (CIs) were estimated using a random-effects model. Heterogeneity and potential bias were evaluated via subgroup analyses, sensitivity testing, and Egger&#x0027;s regression.</p>
</sec><sec><title>Results</title>
<p>Eleven studies (12 comparative groups) comprising 1,792 patients were included (one publication reported two independent cohorts). Eelevated NLR was associated with increased mortality risk (pooled OR&#x2009;&#x003D;&#x2009;1.16, 95&#x0025; CI: 1.05&#x2013;1.27, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.002). This association was significant in cohort studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0005) but not in case-control studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.28). The result remained robust in leave-one-out sensitivity analyses. Substantial publication bias was detected (Egger&#x0027;s <italic>P</italic>&#x2009;&#x003C;&#x2009;0.0001). In patients with uncomplicated type B AD managed by endovascular intervention, elevated NLR predicted adverse events within two years (hazard ratio&#x2009;&#x003D;&#x2009;1.98, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.015).</p>
</sec><sec><title>Conclusion</title>
<p>The evidence indicates that elevated NLR may serve as a potential independent predictor of mortality in AD, supporting its incorporation into risk stratification frameworks. Notwithstanding substantial publication bias&#x2014;predominantly among smaller studies&#x2014;sensitivity analyses confirmed the overall result stability. The observed prognostic value aligns with NLR&#x0027;s role in other vascular diseases, consistent with its interpretation as a marker of inflammatory burden. Generalizability is limited by the predominance of small Asian cohorts; therefore, multicenter prospective studies are required to validate these findings and to establish optimal NLR thresholds for individualized management.</p>
</sec><sec><title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=648318">https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=648318</ext-link>, PROSPERO CRD42025648318.</p>
</sec>
</abstract>
<kwd-group>
<kwd>aortic dissection</kwd>
<kwd>inflammation</kwd>
<kwd>meta-analysis</kwd>
<kwd>mortality</kwd>
<kwd>neutrophil-to-lymphocyte ratio</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="4"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="32"/><page-count count="9"/><word-count count="14842"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Surgery</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Aortic dissection (AD) results from the interplay between structural abnormalities of the aortic media and hemodynamic disturbances. When the aortic intima is disrupted, hemodynamic forces drive blood into the medial layer, separating the intima and media. The Stanford classification system categorizes these events based on anatomical involvement: Type A aortic dissections (TAAD) affect the ascending aorta, while Type B aortic dissections (TABD) involve the descending thoracic aorta and distal segments, sparing the ascending aorta (<xref ref-type="bibr" rid="B1">1</xref>). Epidemiological data indicate an incidence of 2.8&#x2013;6.0 cases per 100,000 population per year (<xref ref-type="bibr" rid="B2">2</xref>). TAAD represents the most common and life-threatening variant of AD. Its mortality exceeds 50&#x0025; within 24&#x2005;h of onset and increases by 1&#x0025;&#x2013;2&#x0025; each subsequent hour. Despite surgical intervention, postoperative mortality remains 10&#x0025;&#x2013;30&#x0025; (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Therefore, prompt and accurate diagnosis and appropriate treatment are crucial.</p>
<p>Inflammatory responses significantly contribute to AD pathogenesis (<xref ref-type="bibr" rid="B5">5</xref>). Histopathological studies show macrophage infiltration and increased matrix metalloproteinase (MMP) activity in the aortic wall of AD patients, with MMP-12 identified as a marker of aortic wall disease irrespective of genetic predisposition (<xref ref-type="bibr" rid="B6">6</xref>). The neutrophil-to-lymphocyte ratio (NLR) is an accessible marker of systemic inflammation and may predict disease severity and outcomes in cardiovascular conditions (<xref ref-type="bibr" rid="B7">7</xref>). Ustaalioglu et al. reported a strong association between elevated NLR and mortality in AD (<xref ref-type="bibr" rid="B8">8</xref>), whereas Donmez et al. found higher NLR in both deceased and surviving patients without statistical significance (<xref ref-type="bibr" rid="B9">9</xref>). Hung et al.&#x0027;s 2021 meta-analysis of four TAAD studies identified preoperative NLR as a predictor of in-hospital mortality after surgury (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Based on these findings, a meta-analysis evaluating the prognostic significance of NLR in AD patients was conducted. This study aims to synthesize recent evidence to assess NLR&#x0027;s prognostic value, improve risk stratification, and inform individualized intervention strategies, and to propose perspectives on translating inflammatory mechanisms into clinical application for AD patients.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Literature search</title>
<p>The systematic review was conducted in accordance with PRISMA 2020 and was prospectively registered in PROSPERO (CRD42025648318). The search methodology, including relevant MeSH terms and keywords, was developed by two independent investigators (LLL and WC). A comprehensive search was performed in PubMed, Embase, Web of Science, and the Cochrane Library from inception through December 2024 using terms including &#x201C;Aortic Dissection,&#x201D; &#x201C;Dissecting Aneurysm,&#x201D; &#x201C;dissection of aorta,&#x201D; &#x201C;Aortic Dissecting Aneurysm,&#x201D; &#x201C;Lymphocyte,&#x201D; &#x201C;Neutrophil,&#x201D; and &#x201C;neutrophil to lymphocyte ratio (NLR).&#x201D; The literature search strategy is provided in <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Study selection</title>
<p>Eligibility was assessed according to predefined inclusion criteria: (1) Confirmed diagnosis of AD via computed tomography angiography (CTA); (2) Research examining NLR&#x0027;s prognostic significance in AD; (3) Availability of OR with 95&#x0025; CI, either directly reported or calculable from provided information; (4) Classification of participants into distinct groups based on NLR levels (high vs. low) using specified cut-off values; (5) Publication of the full article.</p>
<p>Exclusion criteria were: (1) Reviews, comments, meeting abstracts, case reports, and letters; (2) Publications with insufficient statistical data for OR and 95&#x0025; CI; (3) Studies lacking survival outcome measures; (4) Studies with redundant or overlapping participant cohorts.</p>
<p>Screening and selection were performed independently by two authors (LLL and WC) through review of titles, abstracts, and full texts. Discrepancies were resolved by discussion. One included study (<xref ref-type="bibr" rid="B11">11</xref>) contributed two independent comparative groups; therefore, the final analysis included 11 publications providing data for 12 comparative groups.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data extraction</title>
<p>Data extraction was performed independently by two investigators (LLL and WC), and any disagreements were resolved by consensus. The following variables were extracted: publication year, primary author identification, sample size, research design, median age, geographical location, investigation timeframe, follow-up duration, NLR threshold values, and statistical measures (OR with 95&#x0025; CIs) pertaining to mortality outcomes in AD.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Quality assessment</title>
<p>The methodological rigor of the included investigations was evaluated using the Newcastle-Ottawa Quality Assessment Scale (NOS). This validated instrument assesses selection, group comparability, and outcome measurement, with a maximum score of nine (<xref ref-type="bibr" rid="B12">12</xref>). Studies scoring 7&#x2013;9 were considered high-quality.</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Statistical analysis</title>
<p>Aggregate ORs with 95&#x0025; CIs were calculated to assess the predictive value of NLR for aortic dissection outcomes. The odds ratio (OR) was the primary metric because it was the most consistently reported effect measure across studies reporting binary outcomes (e.g., deceased vs. survived). Although follow-up durations varied, pooling by OR is an acceptable approach when hazard ratios (HRs) are unavailable, providing a standardized assessment of the association between NLR and mortality odds. Inter-study heterogeneity was quantified utilizing the I<sup>2</sup> statistic and Cochran&#x0027;s <italic>Q</italic> test (<xref ref-type="bibr" rid="B13">13</xref>). When I<sup>2</sup> exceeded 50&#x0025;, a random-effects model was adopted; otherwise, a fixed-effects model was applied. Subgroup analyses and sensitivity tests were conducted to assess result consistency and explore heterogeneity sources. Publication bias was assessed by visual inspection of funnel plots and Egger&#x0027;s regression test. Statistical significance was defined as <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. All statistical analyses were performed using Review Manager (version 5.4) and STATA (version 17.0).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Study characteristics</title>
<p>A total of 207 citations were retrieved from database searches. After removal of duplicates (<italic>n</italic>&#x2009;&#x003D;&#x2009;41), 148 records were excluded following title and abstract review. Full-text review of 18 studies led to exclusion of seven due to extractable data were insufficient for analysis. The final analysis included 11 studies (12 comparative groups) representing 1,792 patients (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Zhang et al. (2021) (<xref ref-type="bibr" rid="B11">11</xref>) reported two independent cohorts, yielding the 12 comparative groups included in the meta-analysis.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Flow chart of literature screening.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1631314-g001.tif"><alt-text content-type="machine-generated">Flowchart of literature screening process. Identification included 207 records from databases such as PubMed, Embase, Cochrane, and Web of Science. After removing duplicates, 166 records were screened. Unrelated records were excluded due to disease focus or document type. Eighteen reports were sought for retrieval, with two not retrieved. Of sixteen assessed for eligibility, five were excluded. Ultimately, eleven studies were included, providing twelve comparison groups.</alt-text>
</graphic>
</fig>
<p>Among the selected studies, seven originated from Turkey and four from China. One publication (<xref ref-type="bibr" rid="B11">11</xref>) contained two independent cohorts, yielding eight cohorts and four case-control studies in total. Of the eight cohort analyses, seven were retrospective (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), and one was prospective (<xref ref-type="bibr" rid="B16">16</xref>). All studies were published in English, with publication years ranging from 2014 to 2024.</p>
<p>AD cases in all included studies were classified based on Stanford criteria, and patients were categorized into low- and high-NLR groups. Preoperative NLR values were evaluated to assess their prognostic significance for AD. Notably, one study also examined NLR&#x0027;s utility for early differentiation of aortic coarctation. <xref ref-type="table" rid="T1">Table&#x00A0;1</xref> summarizes the key characteristics of the included studies.</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Basic characteristics of the included literature.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Author and Year</th>
<th valign="top" align="center" rowspan="2">study period</th>
<th valign="top" align="center" rowspan="2">region</th>
<th valign="top" align="center" rowspan="2">study design</th>
<th valign="top" align="center" rowspan="2">Types of aortic dissection</th>
<th valign="top" align="center" rowspan="2">Number of patients</th>
<th valign="top" align="center" colspan="2">Gender</th>
<th valign="top" align="center" rowspan="2">Age</th>
<th valign="top" align="center" rowspan="2">NLR cut-off</th>
<th valign="top" align="center" rowspan="2">Quality score</th>
</tr>
<tr>
<th valign="top" align="center">Male</th>
<th valign="top" align="center">Female</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Zhang 2021 a</td>
<td valign="top" align="center">2018&#x2013;2020</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A and type B</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">11.08</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Zhang 2021 b</td>
<td valign="top" align="center">2018&#x2013;2020</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A and type B</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">20.22</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Lafci 2014</td>
<td valign="top" align="center">2007&#x2013;2012</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Case-control study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">55.3</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Oz 2017</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Ustaalioglu 2024</td>
<td valign="top" align="center">2018&#x2013;2023</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A and type B</td>
<td valign="top" align="center">103</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">73.9</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Onuk 2015</td>
<td valign="top" align="center">2004&#x2013;2014</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A and type B</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Zhang 2021</td>
<td valign="top" align="center">2017&#x2013;2020</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">224</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">53.2</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Erdolu 2020</td>
<td valign="top" align="center">2010&#x2013;2018</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Case-control study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Bedel 2019</td>
<td valign="top" align="center">2013&#x2013;2018</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Case-control study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">96</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">63.7</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Yang 2021</td>
<td valign="top" align="center">2010&#x2013;2017</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type B</td>
<td valign="top" align="center">348</td>
<td valign="top" align="center">298</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">53.7</td>
<td valign="top" align="center">4.1</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Zhao 2023</td>
<td valign="top" align="center">2018&#x2013;2020</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">cohort study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">193</td>
<td valign="top" align="center">146</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">54.4</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Kalkan 2017</td>
<td valign="top" align="center">2009&#x2013;2013</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Case-control study</td>
<td valign="top" align="left">type A</td>
<td valign="top" align="center">184</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">53.1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Quality assessment of included studies</title>
<p>Using the NOS scale, scores of 7&#x2013;8 were assigned to all eleven studies, reflecting high methodological quality (<xref ref-type="sec" rid="s11">Supplementary Tables S2 and S3</xref>).</p>
</sec>
<sec id="s3c"><label>3.3</label><title>Association between NLR and mortality in aortic dissection</title>
<p>Eleven studies (12 comparative groups) were included, encompassing 1,792 patients; preoperative NLR and its association with clinical outcomes in AD were evaluated in all studies. Notable heterogeneity was observed (I<sup>2</sup>&#x2009;&#x003D;&#x2009;76&#x0025;, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.00001), necessitating use of a random-effects model. The pooled results indicated that elevated preoperative NLR was associated with increased mortality in AD patients (OR&#x2009;&#x003D;&#x2009;1.16, 95&#x0025; CI: 1.05&#x2013;1.27; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002, <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>).</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Forest plots for the association between NLR and mortality in patients with AD.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1631314-g002.tif"><alt-text content-type="machine-generated">Forest plot showing odds ratios with 95% confidence intervals for various studies. Each study is represented by a square and a horizontal line indicating the effect size and confidence interval. The overall effect is illustrated by a diamond, indicating a pooled odds ratio of 1.16 with a 95% confidence interval of 1.05 to 1.27. High heterogeneity is noted with an I-squared value of 76%. Favor outcomes are distributed on a log scale from 0.01 to 100.</alt-text>
</graphic>
</fig>
<p>Analyses were stratified by study design, geographic region, sample size, aortic dissection type, and median participant age (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). The predictive significance of NLR for mortality was not observed in the case-control subgroup or in studies with sample sizes&#x2009;&#x2265;&#x2009;200. However, significant association of NLR with mortality were retained in other subgroups.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Pooled OR for NLR in subgroup analyses.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Subgroup</th>
<th valign="top" align="center" colspan="4">Mortality</th>
</tr>
<tr>
<th valign="top" align="center">Study</th>
<th valign="top" align="center">OR [95&#x0025;CI]</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">I<sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1.16 [1.05&#x2013;1.27]</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">76&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Study design</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cohort</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.40 [1.16&#x2013;1.70]</td>
<td valign="top" align="center">0.0005</td>
<td valign="top" align="center">79&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Case-control</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.08 [0.94&#x2013;1.24]</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">71&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Sample size</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;200</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.09 [0.99&#x2013;1.21]</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">69&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x003C;200</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.27 [1.06&#x2013;1.53]</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">79&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Region</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;China</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.63 [1.19&#x2013;5.58]</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">81&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Turkey</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.14 [1.02&#x2013;1.27]</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">75&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Types of aortic dissection</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;A</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.09 [1.01&#x2013;1.19]</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">68&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;B</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.11 [1.35&#x2013;7.16]</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;A and B</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.38 [1.08&#x2013;5.28]</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">83&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="5">Mean/median age</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;55</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.15 [1&#x2013;1.33]</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">77&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x003C;55</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.20 [1.00&#x2013;1.43]</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">76&#x0025;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>OR, odds ratio; CI, confidence interval; NA, not available.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><label>3.4</label><title>NLR as a predictor of early adverse outcomes in aortic dissection</title>
<p>One retrospective investigation specifically addressed the prognostic value of NLR for predicting early complications in patients with uncomplicated type B aortic dissection (uTBAD) treated with TEVAR, and therefore was excluded from the meta-analysis (<xref ref-type="bibr" rid="B23">23</xref>). 216 individuals diagnosed with uTBAD were followed from January 2015 to December 2018, with a median follow-up of 21 months (IQR: 15&#x2013;33 months). Early complications were defined as events within two years post-procedure and included overall mortality, types I/II endoleak, stent-graft-induced new entry (SINE), retrograde aortic dissection, severe stroke, paraplegia, and aortic rupture. Twenty-four patients (11.1&#x0025;) experienced at least one early adverse event: one fatal stroke, thirteen type I/II endoleaks, five retrograde dissections, four recurrent events, and one SINE. The two-year event-free survival rate was 82.7&#x0025; in patients with elevated NLR values, significantly lower than the 94.6&#x0025; rate in the low-NLR group. Multivariable regression revealed that higher preoperative NLR independently correlated with an increased risk of two-year adverse outcomes (hazard ratio per SD increment: 1.98; 95&#x0025; CI: 1.14&#x2013;3.44; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.015). These findings indicate that increased pre-procedural NLR is an independent prognostic marker for early complications after TEVAR in uTBAD.</p>
</sec>
<sec id="s3e"><label>3.5</label><title>Sensitivity analysis</title>
<p>Leave-one-out sensitivity analysis was performed by systematically excluding each study from the pooled analysis. No single study was found to disproportionately influenced the overall results, supporting the robustness of the meta-analysis (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Sensitivity analysis between NLR and mortality in patients with AD.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1631314-g003.tif"><alt-text content-type="machine-generated">Meta-analysis forest plot showing the effect estimates with confidence intervals for various studies from 2014 to 2024. Each line represents a study with circles for estimates and lines for lower and upper confidence intervals. The x-axis ranges from 1.03 to 1.46.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3f"><label>3.6</label><title>Publication bias</title>
<p>Visual inspection of the funnel plot revealed notable asymmetry in mortality effect estimates (<xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref>). Egger&#x0027;s regression test confirmed significant publication bias for mortality outcomes (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001; <xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref>). The asymmetry was more pronounced among smaller studies, which also demonstrated stronger effect estimates, raising the possibility of overestimation in these cohorts.</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p><bold>(A)</bold> funnel plot for the evaluation of publication bias for mortality. <bold>(B)</bold> Egger&#x0027;s test for assessing mortality publication bias.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1631314-g004.tif"><alt-text content-type="machine-generated">Panel A shows a funnel plot with circles representing study data, measuring standard error versus odds ratio on a logarithmic scale. Panel B displays Egger's publication bias plot, showing standardized effect size against precision, with a regression line indicating potential bias.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>Substantial evidence indicates that AD is closely related to inflammation (<xref ref-type="bibr" rid="B24">24</xref>). Although AD is regarded as a multifactorial disease, inflammatory mechanisms is associated with aortic medial degeneration (<xref ref-type="bibr" rid="B25">25</xref>). Histopathological examination has revealed marked macrophage and T lymphocyte infiltration and increased expression of apoptosis-related protein. Cifani et al. further elucidated that macrophage recruitment and activation in the aortic wall are early events in Stanford-A AAD; macrophages release proinflammatory cytokines and MMPs that promote matrix degradation and neoangiogenesis (<xref ref-type="bibr" rid="B6">6</xref>). Serum inflammatory markers levels may reflect disease severity. Beyond tissue-level inflammation, elevated circulating inflammatory markers are independent predictors of various cardiovascular conditions (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>The prognostic utility of NLR extends beyond aortic dissection to other acute and chronic vascular conditions. Taurino et al. demonstrated that a preoperative NLR &#x003E;5 was a strong independent predictor of 30-day amputation (OR: 9.65) and mortality (OR: 9.88) in patients with acute limb ischemia (<xref ref-type="bibr" rid="B27">27</xref>). Similarly, Sirignano et al. recently reported that an elevated NLR (&#x003E;5) was associated with worse long-term limb salvage rates following popliteal artery aneurysm repair, with multivariable analysis identifying NLR as an independent predictor of freedom from major amputation (<xref ref-type="bibr" rid="B28">28</xref>). These consistent findings across vascular pathologies reinforce NLR&#x0027;s role as a marker of systemic inflammatory burden in vascular diseases.</p>
<p>Our investigation, by synthesizing available evidence, suggests that elevated NLRs may be associated with heightened mortality risk following surgical intervention in AD patients. Sensitivity analysis confirmed the result&#x0027;s stability, indicating it was not dependent on any single study. However, the observed publication bias may undermine the reliability of our findings. This bias might stem from various factors including geographic region, sample size, and demographic characteristics, necessitating additional investigation for confirmation. A meta-analysis by Chung et al. (<xref ref-type="bibr" rid="B10">10</xref>), encompassing four studies and 502 TAAD patients, found that NLR was substantially increased both in those with TAAD and especially in patients who succumbed after surgery. Their findings supported the use of NLR as a practical prognostic tool for in-hospital mortality following TAAD surgery. Recent literature further supports the prognostic capacity of NLR for mortality risk across both TAAD and TBAD (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>), which is similar to our results. Therefore, NLR should be monitored for clinical risk stratification and early identification of high-risk patients to permit timely intervention.</p>
<p>Publication bias was evident in our analysis. To address this limitation, subgroup analyses were performed to examine the association between elevated NLR and mortality in AD. The subgroup results showed a significant association in cohort studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0005), whereas no significant relationship was found in case-control studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.28). Cohort studies generally provide higher-quality evidence than case-control studies because exposures are measured before outcomes, establishing temporality and facilitating control of confounding; incidence and other measures can also be directly estimated. In contrast, case-control studies are retrospective and are more susceptible to recall and selection biases and cannot directly calculate incidence. When results conflict, evidence from cohort studies should therefore be prioritized. Analyses of large samples were non-significant results while smaller studies showed significant association, suggesting possible small-study effects. Only three included studies had sample sizes&#x2009;&#x2265;&#x2009;200, which may have produced weight imbalance and increased heterogeneity. Therefore, future research incorporating larger cohorts will be essential to confirm NLR&#x0027;s predictive utility.</p>
<p>A methodological distinction was revealed by our subgroup analysis: the association between elevated NLR and mortality was significant in cohort studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0005) but not in case-control studies (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.28). This discrepancy is plausible and reflects the higher evidentiary strength of cohort designs in prognostic research. Cohort studies, through prospective or longitudinal follow-up, establish temporal sequence&#x2014;exposure (high NLR) precedes outcome (mortality)&#x2014;which is fundamental for causal inference and are less susceptible to selection and recall biases than retrospective case-control designs. In case-control studies, in which patients are selected by outcome and prior NLR is assessed, NLR measurement may be affected by post-outcome conditions or biased control selection. Therefore, cohort evidence should be weighted more heavily. Our conclusion that NLR predicts mortality in AD is supported by the more methodologically rigorous cohort studies included in this meta-analysis.</p>
<p>Inflammation processes are central to the development and progression of acute cardiovascular events. Neutrophils, in particular, function as primary mediators in vascular injury and subsequent inflammatory cascades. They rapidly migrate to sites of tissue damage, establishing the initial defensive barrier in inflammatory responses (<xref ref-type="bibr" rid="B29">29</xref>). They remove pathogens and cellular debris via phagocytosis and by releasing proteolytic enzymes and reactive oxygen species. When excessive, these mediators cause collateral tissue injury, worsening disease severity and contributing to AD complications (<xref ref-type="bibr" rid="B30">30</xref>). This is consistent with findings that neutrophil-derived MMP-9 can trigger acute aortic dissection (<xref ref-type="bibr" rid="B6">6</xref>). This functional duality of neutrophils holds considerable significance in understanding AD pathophysiology. Elevated neutrophil counts in AD patients suggest active inflammatory involvement and may correlate with disease severity. Consequently, the NLR emerges as an effective parameter reflecting inflammatory burden.</p>
<p>Lymphocytes are essential components of adaptive immunity, providing protection against viral and bacterial pathogens (<xref ref-type="bibr" rid="B31">31</xref>). During severe vascular events such as AD, lymphocytes contribute to immune regulation and tissue repair. Lymphocytes undergo antigen-specific proliferation, generating specialized immune responses that modulate inflammation. T lymphocytes exert anti-inflammatory and tissue-protective effects, while B lymphocytes produce antibodies that neutralize pathogens (<xref ref-type="bibr" rid="B32">32</xref>). Lymphocyte functionality significantly influences AD progression and outcomes. Lymphopenia typically indicates immunosuppression in severe infection or systemic inflammation. Thus, elevated NLR, reflecting neutrophilia and lymphopenia, provides an objective measure of inflammatory severity and tissue stress. Increased NLR in AD patients indicates this immunological imbalance and is associated with higher mortality, supporting NLR&#x0027;s potential utility in clinical risk stratification, which warrants future investigation.</p>
<p>Significant publication bias was identified, particularly among smaller studies, which also showed larger effect estimates. This pattern suggests that the pooled effect might be inflated due to preferential publication of positive findings from underpowered studies. However, several factors support the robustness of our primary conclusion. First, the leave-one-out sensitivity analysis confirmed that no single study disproportionately influenced the pooled estimate. Second, the significant association persisted in subgroup analyses of cohort studies&#x2014;a design generally less susceptible to recall and selection biases. Third, the biological plausibility of NLR as a marker of systemic inflammation is well-established in cardiovascular pathophysiology. Nevertheless, the influence of small-study effects cannot be fully excluded, and the observed OR should be interpreted as potentially representing the upper bound of the true effect size. Future well-powered prospective studies are needed to provide a more precise estimate.</p>
<p>Several limitations of this meta-analysis should be noted. First, all included investigations were conducted in Asia, predominantly Turkey and China, limiting generalizability to other regions. Second, most studies had small sample sizes, with limited large-scale experimental data. Third, substantial heterogeneity in NLR cut-off values (ranging from 4.1 to 20.22) was observed, which hinders direct clinical application of a specific NLR value. An exploratory subgroup analysis by cut-off value could not be meaningfully performed because only 4 out of 12 comparative groups reported specific thresholds. Without individual patient data, harmonization of NLR values or derivation of a unified cut-off was not feasible. Additionally, publication bias was evident and may have favored studies with significant findings or those aligning with prevailing hypotheses, thus failing to comprehensively represent the research landscape. Future investigations require expanded datasets to enhance robustness and address heterogeneity in these findings.</p>
<p>Furthermore, it is crucial to recognize the potential impact of regional variations in clinical practice patterns on AD management. Our analysis included studies conducted only in Turkey and China, and differences in healthcare systems, surgical expertise, timing of intervention, postoperative care protocols, and availability of advanced therapies between these and other regions may influence patient outcomes independently of the NLR. While NLR, as a measure of systemic inflammation, is likely to retain its fundamental prognostic value across settings, the specific risk thresholds and the magnitude of its effect could be modulated by these external factors. For instance, a healthcare setting with rapid access to specialized care might mitigate the risk associated with a high NLR, thereby altering its predictive performance. Therefore, the generalizability of our findings to populations in Europe, North America, or other regions should be approached with caution. Future research should not only validate NLR&#x0027;s utility in multi-ethnic cohorts but also seek to understand how it integrates into specific clinical pathways and healthcare contexts to ensure its effective implementation.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>Our results suggest an association between higher NLR and elevated mortality risk in individuals with aortic dissection, with both subgroup and sensitivity analyses supporting the robustness of this relationship. Despite the observed publication bias and potential overestimation in smaller studies, the consistency of NLR&#x0027;s prognostic value across multiple study designs and its biological plausibility strengthen its candidacy as a useful clinical biomarker. The consistency of NLR&#x0027;s prognostic value across aortic dissection, acute limb ischemia, and popliteal artery aneurysm repair underscores its utility as a general inflammatory biomarker in vascular diseases. However, considering this study&#x0027;s limitations&#x2014;including restricted sample sizes and predominant focus on Asian populations&#x2014;additional international, multicenter prospective clinical trials are warranted to further validate the relationship between NLR and AD mortality, to determine optimal patient populations, and to establish precise parameters for clinical implementation.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>LL: Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft. CW: Formal analysis, Investigation, Software, Validation, Writing &#x2013; original draft. LX: Data curation, Formal analysis, Supervision, Writing &#x2013; review &#x0026; editing. HW: Conceptualization, Methodology, Project administration, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare 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 id="s10" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;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 id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2025.1631314/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2025.1631314/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Datasheet1.pdf" id="SM1" mimetype="application/pdf"/>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/148293/overview">Hendrik Tevaearai Stahel</ext-link>, University Hospital of Bern, Switzerland</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/444456/overview">Pasqualino Sirignano</ext-link>, Sapienza University of Rome, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2865576/overview">Gauranga Mahalwar</ext-link>, Cleveland Clinic, Cleveland, United States</p></fn>
</fn-group>
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