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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<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.2024.1347552</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cardioprotective effects of high-altitude adaptation in cardiac surgical patients: a retrospective cohort study with propensity score matching</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Lei</surname><given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2629266/overview"/>
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<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Mengxue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Ma</surname><given-names>Die</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Lei</surname><given-names>Xia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Zeng</surname><given-names>Si</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Li</surname><given-names>Peng</given-names></name>
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<contrib contrib-type="author"><name><surname>Huang</surname><given-names>Keli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Lyu</surname><given-names>Juanjuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Lei</surname><given-names>Qian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label><sup>1</sup></label><institution>Department of Anesthesiology, Sichuan Academy of Medical Sciences &#x0026; Sichuan Provincial People&#x2019;s Hospital, School of Medicine, University of Electronic Science and Technology of China</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Cardiac Surgery, Sichuan Academy of Medical Sciences &#x0026; Sichuan Provincial People&#x2019;s Hospital, School of Medicine, University of Electronic Science and Technology of China</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Pediatrics, West China Second University Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Pierre-Gregoire Guinot, Centre Hospitalier Regional Universitaire De Dijon, France</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Dong Xu Chen, Sichuan University, China</p>
<p>Benedikt Treml, Innsbruck Medical University, Austria</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Juanjuan Lyu <email>juanjuanlyu@163.com</email> Qian Lei <email>leiqianggh@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>02</day><month>04</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>11</volume><elocation-id>1347552</elocation-id>
<history>
<date date-type="received"><day>01</day><month>12</month><year>2023</year></date>
<date date-type="accepted"><day>18</day><month>03</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Lei, Liu, Ma, Lei, Zeng, Li, Huang, Lyu and Lei.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Lei, Liu, Ma, Lei, Zeng, Li, Huang, Lyu and Lei</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract>
<sec><title>Background</title>
<p>The cardioprotective effect of remote ischemia preconditioning in clinical studies is inconsistent with experimental results. Adaptation to high-altitude hypoxia has been reported to be cardioprotective in animal experiments. However, the clinical significance of the cardioprotective effect of high-altitude adaptation has not been demonstrated.</p>
</sec>
<sec><title>Methods</title>
<p>A retrospective cohort study with propensity score matching was designed to compare the outcomes of cardiac surgery between highlanders and lowlanders in a tertiary teaching hospital. The data of adult cardiac surgical patients from January 2013 to December 2022, were collected for analysis. Patients with cardiopulmonary bypass and cardioplegia were divided into a low-altitude group (&#x003C;1,500&#x2005;m) and a high-altitude group (&#x2265;1,500&#x2005;m) based on the altitude of their place of residence.</p>
</sec>
<sec><title>Results</title>
<p>Of 3,020 patients, the majority (87.5&#x0025;) permanently lived in low-altitude regions [495 (435, 688)&#x2005;m], and there were 379 patients (12.5&#x0025;) in the high-altitude group [2,552 (1,862, 3,478)&#x2005;m]. The 377 highlander patients were matched with lowlander patients at a ratio of 1:1. The high-altitude group exhibited a 44.5&#x0025; reduction in the incidence of major adverse cardiovascular events (MACEs) compared with the low-altitude group (6.6&#x0025; vs. 11.9&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.017). The patients in the moderate high-altitude subgroup (2,500&#x2013;3,500&#x2005;m) had the lowest incidence (5.6&#x0025;) of MACEs among the subgroups. The level of creatinine kinase muscle-brain isoenzymes on the first postoperative morning was lower in the high-altitude group than in the low-altitude group (66.5 [47.9, 89.0]&#x2005;U/L vs. 69.5 [49.3, 96.8]&#x2005;U/L, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.003).</p>
</sec>
<sec><title>Conclusions</title>
<p>High-altitude adaptation exhibits clinically significant cardioprotection in cardiac surgical patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>high altitude</kwd>
<kwd>cardioprotective effect</kwd>
<kwd>cardiac surgery</kwd>
<kwd>major adverse events</kwd>
<kwd>ischemia-reperfusion injury</kwd>
</kwd-group>
<contract-num rid="cn001">CZ2022011-3</contract-num>
<contract-num rid="cn002">2023YFS0036, 2022YFS0301</contract-num>
<contract-num rid="cn003">82202071</contract-num>
<contract-num rid="cn004">WKZX2023CX170004</contract-num>
<contract-num rid="cn005">CZ2020025</contract-num>
<contract-num rid="cn006">SCU2023G4175</contract-num>
<contract-num rid="cn007">2021LY18</contract-num>
<contract-sponsor id="cn001">Sichuan Key Clinical Specialty Program</contract-sponsor>
<contract-sponsor id="cn002">Sichuan Science and Technology Program</contract-sponsor>
<contract-sponsor id="cn003">National Natural Science Foundation of China</contract-sponsor>
<contract-sponsor id="cn004">Clinical Research Program of the National Health Commission of China</contract-sponsor>
<contract-sponsor id="cn005">Cardiovascular Program of the National Development and Reform Commission of China</contract-sponsor>
<contract-sponsor id="cn006">Fundamental Research Funds for the Central Universities</contract-sponsor>
<contract-sponsor id="cn007">Clinical Translational Project of Sichuan Provincial People&#x2019;s Hospital</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="26"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Heart Surgery</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>The environmental factor of altitude may be associated with the disparity in morbidity and mortality from cardiovascular diseases (<xref ref-type="bibr" rid="B1">1</xref>). However, the influence of altitude on the results of cardiac surgery is not well understood. Heart surgery-related intraoperative and postoperative organ damage is linked to a considerable increase in morbidity and mortality. Myocardial ischemia-reperfusion (I-R) injury during cardiopulmonary bypass (CPB) is an important cause of adverse outcomes after cardiac surgery. Clinical practice does not allow for the application of many short-term pretreatment techniques, such as hypoxic or myocardial ischemic preconditioning, which significantly reduce myocardial I-R injury in animal experiments (<xref ref-type="bibr" rid="B2">2</xref>). Remote ischemic preconditioning has also been confirmed to be cardioprotective in animal studies, nonetheless, the results of several clinical studies have generated controversy (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). In a multicenter randomized clinical trial involving adult patients underwent cardiac surgery, there was no significant difference in the incidences of primary end point between the remote ischemic preconditioning group (14.3&#x0025;) and the control group (14.6&#x0025;) (<xref ref-type="bibr" rid="B8">8</xref>). After 12 months following percutaneous coronary intervention, the occurrence rates of cardiac mortality or hospitalization due to heart failure were 8.6&#x0025; in the control group and 9.4&#x0025; in the remote ischemic conditioning group without statistical difference (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, considerable attention has been drawn toward the organ-protective effect of chronic ischemia and hypoxia (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Individuals residing at high altitudes are exposed to a constant and powerful hypoxic environment. The long-term influence of adaptation to hypoxia at high altitudes has been a subject of interest in terms of its cardioprotective effect against acute I-R injury (<xref ref-type="bibr" rid="B10">10</xref>). Animal studies have demonstrated that adaptation to hypoxia can enhance the resistance to ventricular arrhythmias, contractile impairment, and myocardial infarction (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Interestingly, the signal pathway mechanisms of the cardioprotective effect exerted by prolonged hypoxia from high-altitude adaptation and short-term hypoxic or ischemic preconditioning appear to be similar (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B13">13</xref>). However, the cardioprotective effect of high-altitude adaptation is longer than that of hypoxic or ischemic preconditioning. Additionally, chronic high-altitude hypoxia influences the expression of certain proteins involved in the maintenance of oxygen homeostasis (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Several epidemiological studies have suggested that patients living in high-altitude regions may experience improved survival rates of coronary heart disease relative to individuals living in low-altitude regions (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). However, the issue related to myocardial I-R injury induced by CPB in patients born or living at plateau for a long period has not been comprehensively studied. There is a significant and sharp altitude drop from Qinghai-Tibet Plateau to the adjacent Sichuan Basin in southwest China. The aim of this study was to assess the influence of adaptation to high altitude on the clinical results following cardiac surgery according to medical data of patients from these regions.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Study design</title>
<p>Highlander patients from Qinghai-Tibet Plateau requiring major operations tend to seek treatment at several large teaching hospitals in the adjacent low-altitude regions. A retrospective cohort study with propensity score matching was designed to compare the perioperative data of cardiac surgery between highlanders and lowlanders. Patients from a single tertiary teaching hospital were enrolled into this study to avoid the confounding factor of different hospitals. After the Institutional Review Committee approval, the consecutive adult (age&#x2009;&#x003E;&#x2009;18 years) patients who had undergone cardiac surgery at Sichuan Provincial People&#x0027;s Hospital, located at a basin metropolis adjacent to the Qinghai-Tibet Plateau, China, from January 2013 to December 2022, were retrospectively reviewed. Exclusion criteria were as follows: (1) heart surgery without CPB; (2) beating-heart surgery under CPB without cardioplegia; (3) individuals born in regions with low altitudes but residing in regions with high altitudes, and vice versa; and (4) incomplete important electronic records, including primary end points and the data for propensity score matching. The Human Research Ethics Committee of the hospital approved the study (No. 2022&#x2013;401), and the written informed consent was exempted. We used the STROBE guidelines for the design and reporting of the study.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Data sources and variables</title>
<p>All of the medical data for this study were retrieved from the big data system for clinical research, which was established from the electronic health record system and follow-up system of the hospital. The demographic information included places of residence and birth, age, gender, and body mass index (BMI). The following preoperative and intraoperative data were collected: principal diagnosis, comorbidities, cardiac function, routine preoperative examination results, history of cardiac surgery, principal cardiac procedures, CPB duration, and cross-clamp time. The patient&#x0027;s risk was calculated as EuroSCORE II (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>The altitude of the patients&#x0027; residence was obtained from Google Earth according to the community or village level of address. According to relevant studies and our previous report (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>), patients living at an altitude&#x2009;&#x003C;&#x2009;1,500&#x2005;m composed the low-altitude group, while those living at an altitude&#x2009;&#x2265;&#x2009;1,500&#x2005;m composed the high-altitude group. The high-altitude group was then divided into three subgroups, namely, mild high-altitude group (1,500&#x2009;&#x2264;&#x2009;altitude&#x2009;&#x003C;&#x2009;2,500&#x2005;m), moderate high-altitude group (2,500&#x2009;&#x2264;&#x2009;altitude&#x2009;&#x003C;&#x2009;3,500&#x2005;m) and very high-altitude group (altitude&#x2009;&#x2265;&#x2009;3,500&#x2005;m).</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Outcomes</title>
<p>The primary outcome was the incidence of intraoperative or postoperative major adverse cardiovascular events (MACEs), defined as at least one of the following events happened in a patient: (1) myocardial infarction (MI) (defined as requiring percutaneous coronary intervention or redo operation for coronary artery bypass grafting); (2) cardiac arrest (defined as a postoperative event requiring cardiopulmonary resuscitation); or (3) low output syndrome or acute heart failure requiring extracorporeal membrane oxygenation (ECMO) or intra-aortic balloon pump (IABP) assistance. The secondary outcome measures were the incidence of in-hospital death and the level of creatinine kinase muscle-brain isoenzymes (CK-MB) on the first postoperative morning.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical analysis and propensity score matching</title>
<p>The SPSS 27.0 software (IBM, USA) was utilized to analyze the data. The cohort database was initially reviewed to identify missing values. The proportion of missing data in different variables ranged from 0 to 7.3&#x0025;. Patients with missing primary end points and data for propensity score matching were excluded (112/3132, 3.6&#x0025;). Other missing continuous and categorical data were replaced by serial means and mode of the subgroup, respectively. Continuous variables were presented as mean&#x2009;&#x00B1;&#x2009;standard deviation, or median (25th percentile, 75th percentile). Categorical variables were displayed as number (&#x0025;). Continuous variables were compared using independent samples <italic>t</italic>-test and Wilcoxon rank-sum test. Categorical variables were analyzed using the <italic>&#x03C7;<sup>2</sup></italic> test or Fisher&#x0027;s exact test between the two groups. Propensity score matching was employed to minimize any potential discrepancies in the baseline characteristics. Each patient at high altitude was matched to one patient at low altitude according to their propensity score. The fixed caliper width was set at 0.02. The covariates included age, gender, BMI, left ventricular ejection fraction (LVEF), principal diagnosis, and EuroSCORE II. To explore the effect of difference altitude on the incidence of MACEs, a second order polynomial nonlinear regression analysis was performed to obtain a fitting curve among the different subgroups. A <italic>P</italic> value of lower than 0.05 was considered to be significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Baseline characteristics</title>
<p>After excluding 2,609 patients, the initial analysis comprised 3,020 patients who had undergone cardiac surgery with CPB and cardioplegia (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Most of the patients (87.5&#x0025;) permanently lived in low-altitude regions [495 (435, 688)&#x2005;m above sea level], and there were 379 patients in the high-altitude group [2,552 (1,862, 3,478) m above sea level]. The highest inhabited elevation in the patients was 4,786&#x2005;m. According to the range of altitudes, there were 180, 107, and 90 patients in the mild, moderate, and very high-altitude subgroups, respectively. The principal diagnosis with the largest proportion (42.8&#x0025;) was valvular heart disease. According to the propensity score, 377 individuals from the low-altitude regions were matched at a 1:1 ratio with those from the high-altitude regions. The characteristics of the patients before and after propensity score matching are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. There were no significant intergroup differences in the baseline characteristics after matching.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Study flowchart.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1347552-g001.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Analysis of demographic and clinical characteristics before and after propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Group</th>
<th valign="top" align="center" colspan="2">Before matching</th>
<th valign="top" align="center" colspan="2">After matching</th>
<th valign="top" align="center" colspan="2">Before matching</th>
<th valign="top" align="center" colspan="2">After matching</th>
</tr>
<tr>
<th valign="top" align="center">Low altitude (n&#x2009;&#x003D;&#x2009;2,641)</th>
<th valign="top" align="center">High altitude (n&#x2009;&#x003D;&#x2009;379)</th>
<th valign="top" align="center">Low altitude (n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center">High altitude (n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">SMD</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">SMD</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="9">Demographic characteristics</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age (years)</td>
<td valign="top" align="center">51.5&#x2009;&#x00B1;&#x2009;12.3</td>
<td valign="top" align="center">46.7&#x2009;&#x00B1;&#x2009;13.2</td>
<td valign="top" align="center">47.2&#x2009;&#x00B1;&#x2009;13.1</td>
<td valign="top" align="center">46.7&#x2009;&#x00B1;&#x2009;13.1</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x2212;0.363</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">&#x2212;0.038</td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">1,474 (55.8)</td>
<td valign="top" align="center">237 (62.5)</td>
<td valign="top" align="center">219 (58.1)</td>
<td valign="top" align="center">235 (62.3)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">1,167 (44.2)</td>
<td valign="top" align="center">142 (37.5)</td>
<td valign="top" align="center">158 (41.9)</td>
<td valign="top" align="center">142 (37.7)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">22.8&#x2009;&#x00B1;&#x2009;3.4</td>
<td valign="top" align="center">23.0&#x2009;&#x00B1;&#x2009;3.6</td>
<td valign="top" align="center">23.1&#x2009;&#x00B1;&#x2009;3.5</td>
<td valign="top" align="center">23.0&#x2009;&#x00B1;&#x2009;3.5</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">&#x2212;0.022</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9">Principal diagnosis</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Valvular heart disease</td>
<td valign="top" align="center">1,155 (43.7)</td>
<td valign="top" align="center">139 (36.7)</td>
<td valign="top" align="center">136 (36.1)</td>
<td valign="top" align="center">139 (36.9)</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">&#x2212;0.146</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Coronary artery disease</td>
<td valign="top" align="center">405 (15.3)</td>
<td valign="top" align="center">49 (12.9)</td>
<td valign="top" align="center">41 (10.9)</td>
<td valign="top" align="center">48 (12.7)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">&#x2212;0.072</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.055</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Congenital heart disease</td>
<td valign="top" align="center">438 (16.6)</td>
<td valign="top" align="center">115 (30.3)</td>
<td valign="top" align="center">113 (30.0)</td>
<td valign="top" align="center">114 (30.2)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">0.299</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Aortic disease</td>
<td valign="top" align="center">152 (5.7)</td>
<td valign="top" align="center">27 (7.1)</td>
<td valign="top" align="center">25 (5.8)</td>
<td valign="top" align="center">27 (7.2)</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">&#x2212;0.091</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">721 (27.3)</td>
<td valign="top" align="center">82 (21.6)</td>
<td valign="top" align="center">77 (20.4)</td>
<td valign="top" align="center">82 (21.8)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x2212;0.137</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVEF (&#x0025;)</td>
<td valign="top" align="center">62.6&#x2009;&#x00B1;&#x2009;10.2</td>
<td valign="top" align="center">62.7&#x2009;&#x00B1;&#x2009;9.0</td>
<td valign="top" align="center">62.6&#x2009;&#x00B1;&#x2009;9.8</td>
<td valign="top" align="center">62.7&#x2009;&#x00B1;&#x2009;9.0</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Preoperative CK-MB (U/L)</td>
<td valign="top" align="center">11.1 (9.0, 14.6)</td>
<td valign="top" align="center">11.3 (9.0, 15.0)</td>
<td valign="top" align="center">11.0 (8.9, 14.0)</td>
<td valign="top" align="center">11.3 (9.0, 15.0)</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">&#x2212;0.037</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;EuroSCORE II</td>
<td valign="top" align="center">1.76&#x2009;&#x00B1;&#x2009;1.66</td>
<td valign="top" align="center">1.50&#x2009;&#x00B1;&#x2009;1.45</td>
<td valign="top" align="center">1.48&#x2009;&#x00B1;&#x2009;1.41</td>
<td valign="top" align="center">1.50&#x2009;&#x00B1;&#x2009;1.46</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">&#x2212;0.177</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Operation duration (min)</td>
<td valign="top" align="center">314&#x2009;&#x00B1;&#x2009;94</td>
<td valign="top" align="center">306&#x2009;&#x00B1;&#x2009;83</td>
<td valign="top" align="center">313&#x2009;&#x00B1;&#x2009;103</td>
<td valign="top" align="center">307&#x2009;&#x00B1;&#x2009;83</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">&#x2212;0.090</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">&#x2212;0.075</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CPB duration (min)</td>
<td valign="top" align="center">136&#x2009;&#x00B1;&#x2009;57</td>
<td valign="top" align="center">124&#x2009;&#x00B1;&#x2009;47</td>
<td valign="top" align="center">126&#x2009;&#x00B1;&#x2009;54</td>
<td valign="top" align="center">124&#x2009;&#x00B1;&#x2009;47</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x2212;0.268</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">&#x2212;0.053</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cross-clamp time (min)</td>
<td valign="top" align="center">91&#x2009;&#x00B1;&#x2009;41</td>
<td valign="top" align="center">83&#x2009;&#x00B1;&#x2009;37</td>
<td valign="top" align="center">84&#x2009;&#x00B1;&#x2009;39</td>
<td valign="top" align="center">83&#x2009;&#x00B1;&#x2009;37</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">&#x2212;0.228</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">&#x2212;0.023</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Data are displayed as mean&#x2009;&#x00B1;&#x2009;standard deviation, median (25th percentile, 75th percentile), or number (&#x0025;).</p></fn>
<fn id="table-fn2"><p>SMD, standardized mean difference; BMI, body mass index; LVEF, left ventricular ejection fraction; CK-MB, creatinine kinase muscle-brain isoenzymes; EuroSCORE II, European System for Cardiac Operative Risk Evaluation II.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Surgical data</title>
<p>The comparison of surgical data between the low- and high-altitude groups after propensity score matching is demonstrated in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. There was no statistically significant disparity in the proportions of main procedures, CPB duration, and cross-clamp time.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Comparison of surgical data between the low-altitude and high-altitude groups after propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Group</th>
<th valign="top" align="center">Low altitude<break/>(n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center">High altitude<break/>(n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4">Major procedures</td>
</tr>
<tr>
<td valign="top" align="left">Aortic valve replacement</td>
<td valign="top" align="center">170 (45.1)</td>
<td valign="top" align="center">178 (47.2)</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">Mitral valve replacement</td>
<td valign="top" align="center">175 (46.4)</td>
<td valign="top" align="center">176 (46.7)</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">Mitral valve plasty</td>
<td valign="top" align="center">48 (12.7)</td>
<td valign="top" align="center">55 (14.6)</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">Tricuspid valve plasty</td>
<td valign="top" align="center">248 (66.1)</td>
<td valign="top" align="center">273 (72.4)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">CABG</td>
<td valign="top" align="center">51 (13.5)</td>
<td valign="top" align="center">53 (14.1)</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">ASD repair</td>
<td valign="top" align="center">58 (15.4)</td>
<td valign="top" align="center">71 (18.8)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">VSD repair</td>
<td valign="top" align="center">23 (6.1)</td>
<td valign="top" align="center">14 (3.7)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Aortic surgery</td>
<td valign="top" align="center">30 (8.0)</td>
<td valign="top" align="center">37 (9.8)</td>
<td valign="top" align="center">0.31</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>Data are displayed as number (&#x0025;).</p></fn>
<fn id="table-fn4"><p>CABG, coronary artery bypass grafting; ASD, atrial septal defect; VSD, ventricular septal defect.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3</label><title>Patient outcomes</title>
<p>The comparison of the primary and secondary outcomes between the two groups is shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. At least one MACE occurred in 45 of 377 patients (11.9&#x0025;) in the low-altitude group and in only 25 of 377 patients (6.6&#x0025;) in the high-altitude group after propensity score matching (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). The incidence of intraoperative and postoperative MACEs in the high-altitude group was 44.5&#x0025; lower than that in the low-altitude group. Most of the MACEs in both groups were IABP requirements (10.1&#x0025; vs. 5.8&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.043). Only one of the patients in low-altitude group required ECMO support. There was a statistically significant difference in the occurrence of cardiac arrest between the two groups (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). According to the fitting curve of the incidence of MACEs in the different subgroups, the patients living at altitudes of about 3,000&#x2005;m had the lowest incidence of MACEs (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The incidence of MACEs in the very high-altitude subgroup increased from 6.1&#x0025; in the mild high-altitude subgroup and 5.6&#x0025; in the moderate high-altitude subgroup to 8.9&#x0025;.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Comparison of outcomes of the low-altitude and high-altitude groups after propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Group</th>
<th valign="top" align="center">Low altitude<break/>(n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center">High altitude<break/>(n&#x2009;&#x003D;&#x2009;377)</th>
<th valign="top" align="center"><italic>P</italic> value</th>
<th valign="top" align="center"><italic>Phi/Cohen d</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MACEs</td>
<td valign="top" align="center">45 (11.9)</td>
<td valign="top" align="center">25 (6.6)</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.190</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (0.3)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">0.036</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac arrest</td>
<td valign="top" align="center">18 (4.8)</td>
<td valign="top" align="center">6 (1.6)</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">0.191</td>
</tr>
<tr>
<td valign="top" align="left">ECMO</td>
<td valign="top" align="center">1 (0.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">0.036</td>
</tr>
<tr>
<td valign="top" align="left">IABP</td>
<td valign="top" align="center">38 (10.1)</td>
<td valign="top" align="center">22 (5.8)</td>
<td valign="top" align="center">0.043</td>
<td valign="top" align="center">0.178</td>
</tr>
<tr>
<td valign="top" align="left">In-hospital death</td>
<td valign="top" align="center">12 (3.2)</td>
<td valign="top" align="center">5 (1.3)</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.063</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative CK-MB (U/L)</td>
<td valign="top" align="center">69.5 (49.3, 96.8)</td>
<td valign="top" align="center">66.5 (47.9, 89.0)</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">44.4</td>
</tr>
<tr>
<td valign="top" align="left">MV time (h)</td>
<td valign="top" align="center">15.0 (8.0, 24.9)</td>
<td valign="top" align="center">14.8 (8.0, 26.1)</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">46.9</td>
</tr>
<tr>
<td valign="top" align="left">ICU length of stay (h)</td>
<td valign="top" align="center">42.0 (20.7, 88.6)</td>
<td valign="top" align="center">41.4 (21.0, 95.6)</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">95.1</td>
</tr>
<tr>
<td valign="top" align="left">In-hospital length of stay (d)</td>
<td valign="top" align="center">13.6&#x2009;&#x00B1;&#x2009;9.7</td>
<td valign="top" align="center">13.7&#x2009;&#x00B1;&#x2009;9.9</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">9.9</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>Data are displayed as mean&#x2009;&#x00B1;&#x2009;standard deviation, median (25th percentile, 75th percentile), or number (&#x0025;).</p></fn>
<fn id="table-fn6"><p>MACEs, major adverse cardiovascular events; IABP, intra-aortic balloon pump; ECMO, extracorporeal membrane oxygenation; CK-MB, creatinine kinase muscle-brain isoenzymes; MV, mechanical ventilation; ICU, intensive care unit.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>The incidence of major adverse cardiovascular events (MACEs) in different subgroups.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1347552-g002.tif"/>
</fig>
<p>The in-hospital mortality in the patients at high altitudes was lower than that in the patients at low altitudes (1.3&#x0025; vs. 3.2&#x0025;), however, there was no statistically significant difference (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.14). The level of CK-MB on the first postoperative morning was significantly lower in the patients at high altitudes than in those at low altitudes (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<sec id="s4a"><label>4.1</label><title>Key results</title>
<p>To the best of our knowledge, this study represents the largest sample size so far in examining the effects of high-altitude adaptation on the clinical outcomes of cardiac surgical patients. Our findings indicate that chronic high-altitude adaptation is associated with a decrease in the occurrence of intraoperative and postoperative MACEs in cardiac surgery. The lower level of CK-MB on the first postoperative morning in the high-altitude group indicated an effect of myocardial protection from high-altitude adaptation as well. Patients who were chronically exposed to high altitudes showed a trend towards a lower rate of in-hospital mortality following cardiac surgery despite the absence of statistical significance. These findings provide strong evidence to confirm the clinical efficacy of adaptation to high-altitude hypoxia in myocardial protection (<xref ref-type="bibr" rid="B10">10</xref>).</p>
</sec>
<sec id="s4b"><label>4.2</label><title>High-altitude adaptation and myocardial protection</title>
<p>Significant progress has been made in the study of myocardial protection, but there is still a lack of effective prevention and treatment methods against myocardial I-R injury in clinical practice. For a considerable period, it has been recognized that transient hypoxic or ischemic preconditioning, remote ischemic preconditioning, and chronic hypoxia exposure offer protection to the heart against acute I-R injury in animals. Recent clinical trials have shown the limited improvement effect of transient limb remote ischemic preconditioning on clinical outcomes of surgical patients (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Nonetheless, there are still doubts as to whether other hypoxic or ischemic methods can produce clinically significant myocardial protective effects. The presence of high-altitude hypoxia has been found to enhance the resilience to I-R injury in animal hearts, resulting in reduced myocardial infarct size and decreased occurrence and intensity of arrhythmias (<xref ref-type="bibr" rid="B15">15</xref>). High-altitude patients are natural and scarce human models for further exploring the clinical cardioprotective effects of adaptation to chronic hypoxia. The presence of clinical adverse events and myocardial injury indicators in highlanders suggests that the cardioprotection of chronic high-altitude hypoxia also applies to I-R injury induced by cardiac surgery under CPB. The obtained results are in agreement with previous experimental findings (<xref ref-type="bibr" rid="B20">20</xref>). While earlier studies primarily focused on ischemic heart disease, recent research has expanded to include other cardiovascular conditions (<xref ref-type="bibr" rid="B21">21</xref>). This study confirmed the clinical cardioprotective effect of adaptation to high-altitude hypoxia in cardiac surgical patients. Furthermore, the effect of adaptation to high altitude on myocardial protection was the best in the moderate high-altitude group. These results not only provide support for myocardial protection research related to ischemic or hypoxic preconditioning, but also provide a reference for high-altitude hypoxic adaptive activities, such as the altitude training of athletes.</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Mechanisms underlying the cardioprotective effect of high-altitude adaptation</title>
<p>It is necessary to reveal the mechanism behind the cardioprotective effect of adaptation to high-altitude hypoxia, despite numerous experiments confirming its existence. Previous studies have shown that Tibetans who have lived at high altitudes for generations exhibit greater tolerance to hypoxia and experience fewer negative effects such as increased hemoglobin levels and pulmonary hypertension (<xref ref-type="bibr" rid="B22">22</xref>). In chronic hypoxia environments, individuals living at high altitudes undergo a metabolic adaptation to sustain their heart function. This adaptation results in a change in substrate preference, where their myocardial metabolism shifts towards utilizing glucose as the primary source when oxygen levels are reduced (<xref ref-type="bibr" rid="B23">23</xref>). The myocardial metabolic change can be used to explain the mechanism of cardioprotection against myocardial I-R in highlanders. The sympathetic system is activated in high altitude hypoxia environment (<xref ref-type="bibr" rid="B24">24</xref>). Chronic high-altitude hypoxia is known to elicit a cardioprotective effect, which is partly attributed to the presence of catecholamines. However, it has been demonstrated that the cardioprotective effect can be entirely nullified in a dog model of intermittent hypoxia by administering the &#x03B2;1 adrenergic receptor antagonist metoprolol prior to each hypoxic session. Additionally, it is worth noting that reactive oxygen species play a significant role in this process. Milano et al. (<xref ref-type="bibr" rid="B25">25</xref>) proposed that repeated reoxygenation may offer superior protection for the heart muscle compared with chronic hypoxia. Nevertheless, the duration of hypoxia experienced by individuals living in high-altitude regions is much longer. The long-term hypoxia exposure in highlanders may activate a mechanism that provides adequate protection for the heart muscle and other organs. Further, numerous studies have confirmed the protective effect of nitric oxide (NO) against I-R injury within the body (<xref ref-type="bibr" rid="B26">26</xref>). The severity of myocardial I-R injury can be diminished by administering NO or NO donors prior to the onset of heart ischemia. This intervention effectively reduces the size of the myocardial infarct and mitigates endothelial dysfunction. Interestingly, Tibetans exhibit elevated levels of NO in their circulation, which aids in enhancing oxygen delivery to cells when coupled with increased ventilation (<xref ref-type="bibr" rid="B22">22</xref>). However, it is imperative to thoroughly investigate the mechanisms behind the organ-protective effects that are triggered by environmental adaptation to high altitude in the forthcoming research. Additionally, chronic high-altitude hypoxia influences the expression of certain proteins involved in the maintenance of oxygen homeostasis (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>It has been suggested that the signaling pathways are similar for short-term myocardial ischemia, hypoxic preconditioning, and remote ischemic preconditioning to exert their myocardial protective effects. However, the prevention and treatment methods adopted for these mechanisms are difficult to improve the clinical outcomes of patients. Long-term adaptation to high altitude and low oxygen can produce a clear myocardial protective effect that improves clinical outcomes in patients. The mechanisms of this effect may somewhat differ between short-term myocardial ischemia, hypoxic preconditioning, and distant ischemic preconditioning. Although adaptation to high-altitude hypoxia is difficult to implement in clinical practice, elucidating its mechanism can lay the foundation for finding better clinical myocardial protection strategies and targets.</p>
</sec>
<sec id="s4d"><label>4.4</label><title>Limitations</title>
<p>There are several limitations to this study. First, some variables of cardiac complications were not collected for analysis because of uncertain data during the retrospective collection. Therefore, we chose clear definitions of end points for MACEs as the clinical indicator of myocardial injury. Furthermore, we discovered that high-altitude adaptation can lead to enhanced surgical results following cardiac surgery, however, the exact mechanism has not been fully understood. Further study in human samples of myocardium or blood might help to understand the possible mechanisms.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>Individuals adapted to high altitude exhibit improved clinical outcomes, such as lower incidence of intraoperative and postoperative MACEs and lower level of postoperative CK-MB in patients undergoing cardiac surgery. These findings indicate that environmental adaptation to high altitude could potentially have a positive impact on minimizing myocardial I-R injury in cardiac surgical patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Committee of Sichuan Provincial People&#x0027;s Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The Ethics Committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because this is a retrospective cohort study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>LL: Formal Analysis, Writing &#x2013; original draft, Data curation. ML: Data curation, Formal Analysis, Writing &#x2013; original draft. DM: Data curation, Formal Analysis, Writing &#x2013; original draft. XL: Data curation, Formal Analysis, Writing &#x2013; original draft. SZ: Funding acquisition, Project administration, Writing &#x2013; review &#x0026; editing. PL: Project administration, Writing &#x2013; review &#x0026; editing. KH: Conceptualization, Writing &#x2013; review &#x0026; editing, Supervision. JL: Conceptualization, Writing &#x2013; review &#x0026; editing, Funding acquisition. QL: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing, Formal Analysis, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article.</p>
<p>This work was supported by Sichuan Key Clinical Specialty Program (CZ2022011-3), Sichuan Science and Technology Program (2023YFS0036, 2022YFS0301), National Natural Science Foundation of China (82202071) Clinical Research Program of the National Health Commission of China (WKZX2023CX170004), Cardiovascular Program of the National Development and Reform Commission of China (CZ2020025), the Fundamental Research Funds for the Central Universities (SCU2023G4175) and Clinical Translational Project of Sichuan Provincial People&#x2019;s Hospital (2021LY18).</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We thank LetPub for its linguistic assistance.</p>
</ack>
<sec id="s10" 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>
<p>The reviewer DXC declared a shared affiliation with the author JL to the handling editor at the time of review.</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.2024.1347552/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2024.1347552/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Table1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Table2.pdf"/>
</supplementary-material>
<supplementary-material id="SD3" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Table3.pdf"/>
</supplementary-material>
</sec>
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