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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.2023.1243436</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>Impact of chest pain center quality control indicators on mortality risk in ST-segment elevation myocardial infarction patients: a study based on Killip classification</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname><given-names>Lingling</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2352654/overview"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zeng</surname><given-names>Jianping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Huang</surname><given-names>Haobo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Yunlong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Peng</surname><given-names>Ke</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Cai</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Luo</surname><given-names>Fei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Wenbin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Wu</surname><given-names>Mingxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>Xiangtan Central Hospital</institution>, <addr-line>Xiangtan</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Chest Pain Centre</addr-line>, <institution>Xiangtan Central Hospital</institution>, <addr-line>Xiangtan</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Department of Scientific Research</addr-line>, <institution>Xiangtan Central Hospital</institution>, <addr-line>Xiangtan</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><addr-line>Medical Department</addr-line>, <institution>Xiangtan Central Hospital</institution>, <addr-line>Xiangtan</addr-line>, <country>China</country></aff>
<aff id="aff5"><label><sup>5</sup></label><addr-line>Graduate Collaborative Training Base of Xiangtan Central Hospital</addr-line>, <institution>Hengyang Medical School, University of South China</institution>, <addr-line>Hengyang, Hunan</addr-line>, <country>China</country></aff>
<aff id="aff6"><label><sup>6</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>the Second Xiangya Hospital of Central South University</institution>, <addr-line>Changsha, Hunan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Tommaso Gori, University Medical Centre, Johannes Gutenberg University Mainz, Germany</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Eslam Samaha, Medical University of Vienna, Austria</p>
<p>Christian J&#x00F6;rg Rustenbach, University of T&#x00FC;bingen, Germany</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Wenbin Yang <email>ywbto@sohu.com</email> Mingxin Wu <email>wmx8977@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>03</day><month>01</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1243436</elocation-id>
<history>
<date date-type="received"><day>27</day><month>06</month><year>2023</year></date>
<date date-type="accepted"><day>29</day><month>11</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Zhang, Zeng, Huang, Zhu, Peng, Liu, Luo, Yang and Wu.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Zhang, Zeng, Huang, Zhu, Peng, Liu, Luo, Yang and Wu</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>Despite the crucial role of Chest pain centers (CPCs) in acute myocardial infarction (AMI) management, China&#x0027;s mortality rate for ST-segment elevation myocardial infarction (STEMI) has remained stagnant. This study evaluates the influence of CPC quality control indicators on mortality risk in STEMI patients receiving primary percutaneous coronary intervention (PPCI) during the COVID-19 pandemic.</p>
</sec>
<sec><title>Methods</title>
<p>A cohort of 664 consecutive STEMI patients undergoing PPCI from 2020 to 2022 was analyzed using Cox proportional hazards regression models. The cohort was stratified by Killip classification at admission (Class 1: <italic>n</italic>&#x2009;&#x003D;&#x2009;402, Class &#x2265;2: <italic>n</italic>&#x2009;&#x003D;&#x2009;262).</p>
</sec>
<sec><title>Results</title>
<p>At a median follow-up of 17 months, 35 deaths were recorded. In Class &#x2265;2, longer door-to-balloon (D-to-B) time, PCI informed consent time, catheterization laboratory activation time, and diagnosis-to-loading dose dual antiplatelet therapy (DAPT) time were associated with increased mortality risk. In Class 1, consultation time (notice to arrival) under 10&#x2005;min reduced death risk. In Class &#x2265;2, PCI informed consent time under 20&#x2005;min decreased mortality risk.</p>
</sec>
<sec><title>Conclusion</title>
<p>CPC quality control metrics affect STEMI mortality based on Killip class. Key factors include time indicators and standardization of CPC management. The study provides guidance for quality care during COVID-19.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chest pain center</kwd>
<kwd>CPC</kwd>
<kwd>quality control</kwd>
<kwd>STEMI</kwd>
<kwd>primary percutaneous coronary intervention</kwd>
<kwd>PPCI</kwd>
<kwd>door-to-balloon</kwd>
<kwd>D-to-B</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<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>Coronary Artery Disease</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<sec id="s1a"><title>Background on cardiovascular disease</title>
<p>Cardiovascular disease (CVD) remains a primary cause of global mortality (<xref ref-type="bibr" rid="B1">1</xref>), accounting for over 40&#x0025; of deaths in China (<xref ref-type="bibr" rid="B2">2</xref>). Among various forms of CVD, acute myocardial infarction (AMI) represents a prevalent and severe condition with a notably high mortality rate (<xref ref-type="bibr" rid="B3">3</xref>), posing a significant global public health concern. In developed countries, epidemiological studies have shown a decline in AMI incidence, hospitalization, and mortality rates (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Conversely, in China, these rates are on the rise (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), emphasizing the need to establish Chest Pain Centers (CPC) for optimizing AMI treatment quality and mortality reduction (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
</sec>
<sec id="s1b"><title>Impact of COVID-19 on STEMI treatment</title>
<p>The 2020 outbreak of the novel coronavirus led to a substantial decline in hospital admissions for ST-elevation myocardial infarction (STEMI) and associated treatment delays (<xref ref-type="bibr" rid="B11">11</xref>). This pandemic introduced unprecedented challenges for public health and healthcare systems (<xref ref-type="bibr" rid="B12">12</xref>). Medical professionals are now tasked with finding a balance between timely STEMI treatments and infection control measures, to curb the nosocomial transmission of COVID-19 among healthcare workers and other susceptible individuals (<xref ref-type="bibr" rid="B11">11</xref>).</p>
</sec>
<sec id="s1c"><title>China&#x0027;s response: the role of CCPC</title>
<p>The Chinese Chest Pain Center (CCPC) certification is the third professional association certification, following similar systems in the United States and Germany (<xref ref-type="bibr" rid="B13">13</xref>). The quality control indicators set by the CPC serve as a national benchmark for quality assurance and continuous improvement across China. To counteract the adverse effects of the COVID-19 pandemic on STEMI healthcare, a nationwide Quality Improvement (QI) initiative has been implemented by the National CPC (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec id="s1d"><title>Focus of the current study</title>
<p>While reducing D-to-B time significantly enhances outcomes for STEMI patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>), it&#x0027;s important to note that many factors, not just D-to-B time, influence STEMI patient prognosis. During the COVID-19 pandemic, hesitancy in seeking medical care, healthcare resource constraints, and delays due to comprehensive testing have led to prolonged D-to-B times. This study aims to provide a holistic view of STEMI care. Beyond the critical indicators highlighted by CPC guidelines, we analyze the entire diagnostic and treatment process&#x2014;from the onset of STEMI to patient discharge. Our findings aspire to create a strong foundation for refining CPC establishments and implementing multifaceted interventions, ultimately improving outcomes for STEMI patients.</p>
</sec>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Ethics and informed consent</title>
<p>This research protocol was approved by the Ethics Committee of Xiangtan Central Hospital (Xiangtan, China; Ethics Approval No: 2023-02-001) and adhered to the principles outlined in the Helsinki Declaration. The study design was retrospective, involving the collection of clinical data without intervention in patient treatment plans, thus obviating the need for informed consent.</p>
</sec>
<sec id="s2b"><title>Study design and population</title>
<p>This retrospective observational study was conducted at a single center. We consecutively collected data from 10,688 patients with acute chest pain who sought treatment at our CPC between January 1, 2020, and July 31, 2022. Among them, 3,100 were identified as high-risk chest pain patients. Following the diagnostic criteria outlined in the &#x201C;2019 Guidelines for the Diagnosis and Treatment of Acute ST-segment Elevation Myocardial Infarction,&#x201D; we identified 1,083 patients with STEMI. According to the ACC/AHA STEMI management guidelines, which recommend treatment within 24&#x2005;h of symptom onset, we finally included 664 STEMI patients who underwent emergency percutaneous coronary intervention (PCI) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flowchart of the study design and participant selection.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1243436-g001.tif"/>
</fig>
<p>The inclusion criteria were as follows: (1) First-time occurrence of STEMI as defined by the guidelines (<xref ref-type="bibr" rid="B17">17</xref>); (2) Underwent emergency PCI; (3) Complete documentation of chest pain onset time. The exclusion criteria were: (1) Age under 18 years; (2) Missing relevant important data; (3) In-hospital mortality; (4) STEMI patients who did not undergo PCI; (5) Malignant tumors or non-cardiac diseases with an expected survival time of less than 6 months. Killip classification was utilized to assess the severity of STEMI, categorizing patients into two groups based on their Killip classification at admission: Killip class 1 and Killip class &#x2265;2.</p>
</sec>
<sec id="s2c"><title>Study methods</title>
<p>The data for this study were obtained from the hospital&#x0027;s medical record system and the CPC database, which encompassed demographic information of the study participants. Follow-up for all study participants extended until January 31, 2023, with a median clinical follow-up time of 17 months. A team comprising five experienced cardiovascular physicians and two nurses conducted on-site and telephone follow-ups and reviewed hospital visit records to ascertain patient outcome events. The primary endpoint for follow-up was all-cause mortality.</p>
</sec>
<sec id="s2d"><title>Establishment and data collection of the CPC database</title>
<p>The CPC data were recorded in real-time by medical personnel from various departments involved in patient care, including network hospitals, pre-hospital emergency services, emergency departments, cardiology departments, and catheterization laboratories. The data were subsequently entered and reported on the CPC data platform using a chest pain timeline table. The accuracy and completeness of the data were ensured through review and auditing by a quality control team (comprising two nurses and two cardiologists) from the CPC.</p>
</sec>
<sec id="s2e"><title>Primary outcome measures and definitions</title>
<sec id="s2e1"><title>Quality control indicators for the CPC</title>
<p>In addition to the quality control indicators specified by the CCPC, we incorporated supplementary indicators to comprehensively evaluate and analyze the study patients. These indicators encompassed various time intervals, including:first medical contact to first electrocardiogram (FMC-to-ECG), first medical contact to loading dose dual antiplatelet therapy (FMC-to-loading dose DAPT), Troponin report time, consultation time (notice to arrival), diagnosis to loading dose DAPT, diagnosis-to-the first intravenous heparin, door-to-balloon time (D-to-B), total ischemic time (onset-to-reperfusion), symptom onset to first medical contact time (S0-to-FMC), FMC inhospital-to-start reperfusion time, Diagnosis and treatment time in emergency department, FMC inhospital-to-notice consultation, FMC inhospital-to-notice consultation, Leave ED to arrive catheter lab (CL), PCI informed consent time.</p>
</sec>
</sec>
<sec id="s2f"><title>CL activation time</title>
<sec id="s2f1"><title>Quality control assessment program for the CPC</title>
<p>To account for the unique circumstances of the hospital, we developed a comprehensive quality control assessment program for the CPC. In addition to the individual case-based quality control indicators, we formulated specific assessment indicators for the main departments involved in the treatment of acute chest pain patients at the CPC. This allowed for a more precise evaluation of departmental involvement and compliance with the standards set by the CPC, enabling an assessment of their impact on patient prognosis.</p>
</sec>
</sec>
<sec id="s2g"><title>Statistical methods</title>
<p>We employed Cox proportional hazards regression models to examine the association between various quality control indicators of the CPC and outcomes such as all-cause mortality in STEMI patients undergoing emergency PCI. Normally distributed data were presented as mean&#x2009;&#x00B1;&#x2009;standard deviation, skewed distributed data as median (interquartile range), and categorical variables as frequencies (percentages). Clinical characteristics between groups were compared using Student&#x0027;s <italic>t</italic>-test for continuous variables and chi-square test for categorical variables. Kaplan&#x2013;Meier analysis was used to estimate cumulative event rates, and curve fitting was performed to identify inflection points. <italic>P</italic>-values were obtained using the Kruskal&#x2013;Wallis rank-sum test for continuous variables and Fisher&#x0027;s exact probability test for count variables. Results were considered significant when <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05. Statistical analysis was conducted using R software (version 4.2.0) and EasyStat software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Baseline characteristics comparison</title>
<p>Age and Underlying Diseases: Patients in the Killip &#x2265;2 group were significantly older (65.04&#x2009;&#x00B1;&#x2009;11.36 years vs. 60.56&#x2009;&#x00B1;&#x2009;12.23 years, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) and had a higher prevalence of conditions like atrial fibrillation, diabetes, stroke, and renal insufficiency than the Killip 1 group (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<p>Clinical Features: The Killip &#x2265;2 group exhibited more in-hospital new-onset heart failure and a higher heart rate. They also had lower systolic blood pressure and showed inferior results for NT-proBNP, TnT, and LVEF.</p>
<p>Treatment Differences: The Killip &#x2265;2 group saw more usage of treatments like spironolactone, anticoagulants, vasoactive drugs, positive inotropic drugs, IABP, and temporary pacemakers.</p>
<p>Quality Control Indicators: The Killip &#x2265;2 group experienced longer times in various stages, such as FMC-to-loading dose DAPT time, diagnosis-to-loading dose DAPT time, and D-to-B time (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics.</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"/>
<th valign="top" align="center">Killip class 1 group (<italic>n</italic>&#x2009;&#x003D;&#x2009;402&#x003E;)</th>
<th valign="top" align="center">Killip class&#x2009;&#x2265;&#x2009;2 group (<italic>n</italic>&#x2009;&#x003D;&#x2009;262&#x003E;)</th>
<th valign="top" align="center">Standardize diff.</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Demographics</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age, years</td>
<td valign="top" align="center">60.56&#x2009;&#x00B1;&#x2009;12.23</td>
<td valign="top" align="center">65.04&#x2009;&#x00B1;&#x2009;11.36</td>
<td valign="top" align="center">0.38 (0.22, 0.54)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female, <italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">82 (20.40&#x0025;)</td>
<td valign="top" align="center">67 (25.57&#x0025;)</td>
<td valign="top" align="center">0.12 (&#x2212;0.03, 0.28)</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Obesity, <italic>N</italic> (&#x0025;)</td>
<td valign="top" align="center">121 (30.10&#x0025;)</td>
<td valign="top" align="center">63 (24.05&#x0025;)</td>
<td valign="top" align="center">0.14 (&#x2212;0.02, 0.29)</td>
<td valign="top" align="center">0.088</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hospitalization days</td>
<td valign="top" align="center">8.38&#x2009;&#x00B1;&#x2009;3.13</td>
<td valign="top" align="center">9.86&#x2009;&#x00B1;&#x2009;5.55</td>
<td valign="top" align="center">0.33 (0.17, 0.49)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CCU hospitalization days</td>
<td valign="top" align="center">3.18&#x2009;&#x00B1;&#x2009;1.63</td>
<td valign="top" align="center">3.74&#x2009;&#x00B1;&#x2009;2.37</td>
<td valign="top" align="center">0.28 (0.12, 0.43)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total hospitalization expenses</td>
<td valign="top" align="center">38,130.44&#x2009;&#x00B1;&#x2009;15,022.87</td>
<td valign="top" align="center">46,479.68&#x2009;&#x00B1;&#x2009;25,313.23</td>
<td valign="top" align="center">0.40 (0.24, 0.56)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Medical history, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Current smoker</td>
<td valign="top" align="center">243 (60.45&#x0025;)</td>
<td valign="top" align="center">135 (51.53&#x0025;)</td>
<td valign="top" align="center">0.18 (0.02, 0.34)</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Current drinker</td>
<td valign="top" align="center">58 (14.43&#x0025;)</td>
<td valign="top" align="center">37 (14.12&#x0025;)</td>
<td valign="top" align="center">0.01 (&#x2212;0.15, 0.16)</td>
<td valign="top" align="center">0.912</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Coronary heart disease</td>
<td valign="top" align="center">402 (100.00&#x0025;)</td>
<td valign="top" align="center">261 (99.62&#x0025;)</td>
<td valign="top" align="center">0.09 (&#x2212;0.07, 0.24)</td>
<td valign="top" align="center">0.215</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hyperlipidemia</td>
<td valign="top" align="center">162 (40.30&#x0025;)</td>
<td valign="top" align="center">91 (34.73&#x0025;)</td>
<td valign="top" align="center">0.12 (&#x2212;0.04, 0.27)</td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypertension</td>
<td valign="top" align="center">238 (59.20&#x0025;)</td>
<td valign="top" align="center">144 (54.96&#x0025;)</td>
<td valign="top" align="center">0.09 (&#x2212;0.07, 0.24)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Atrial fibrillation</td>
<td valign="top" align="center">14 (3.48&#x0025;)</td>
<td valign="top" align="center">38 (14.50&#x0025;)</td>
<td valign="top" align="center">0.39 (0.24, 0.55)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diabetes mellitus</td>
<td valign="top" align="center">99 (24.63&#x0025;)</td>
<td valign="top" align="center">87 (33.21&#x0025;)</td>
<td valign="top" align="center">0.19 (0.03, 0.35)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Stroke</td>
<td valign="top" align="center">39 (9.70&#x0025;)</td>
<td valign="top" align="center">47 (17.94&#x0025;)</td>
<td valign="top" align="center">0.24 (0.08, 0.40)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Renal insufficiency</td>
<td valign="top" align="center">33 (8.21&#x0025;)</td>
<td valign="top" align="center">65 (24.81&#x0025;)</td>
<td valign="top" align="center">0.46 (0.30, 0.62)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Clinical conditions at admission</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;New heart failure in hospital</td>
<td valign="top" align="center">3 (0.75&#x0025;)</td>
<td valign="top" align="center">17 (6.49&#x0025;)</td>
<td valign="top" align="center">0.31 (0.15, 0.47)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Systolic blood pressure, mmHg</td>
<td valign="top" align="center">131.02&#x2009;&#x00B1;&#x2009;21.10</td>
<td valign="top" align="center">121.25&#x2009;&#x00B1;&#x2009;28.28</td>
<td valign="top" align="center">0.39 (0.23, 0.55)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Heart rate, bpm</td>
<td valign="top" align="center">78.68&#x2009;&#x00B1;&#x2009;13.72</td>
<td valign="top" align="center">83.66&#x2009;&#x00B1;&#x2009;20.26</td>
<td valign="top" align="center">0.29 (0.13, 0.44)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NT-proBNP, pg/ml</td>
<td valign="top" align="center">1,003.05&#x2009;&#x00B1;&#x2009;2,745.66</td>
<td valign="top" align="center">2,845.30&#x2009;&#x00B1;&#x2009;4,328.99</td>
<td valign="top" align="center">0.51 (0.35, 0.67)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TnT, ng/ml</td>
<td valign="top" align="center">4.48&#x2009;&#x00B1;&#x2009;3.40</td>
<td valign="top" align="center">5.73&#x2009;&#x00B1;&#x2009;3.71</td>
<td valign="top" align="center">0.35 (0.20, 0.51)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cr, &#x00B5;mol/L</td>
<td valign="top" align="center">82.84&#x2009;&#x00B1;&#x2009;81.27</td>
<td valign="top" align="center">90.44&#x2009;&#x00B1;&#x2009;38.29</td>
<td valign="top" align="center">0.12 (&#x2212;0.04, 0.28)</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVEF, &#x0025;</td>
<td valign="top" align="center">53.19&#x2009;&#x00B1;&#x2009;7.33</td>
<td valign="top" align="center">47.21&#x2009;&#x00B1;&#x2009;9.71</td>
<td valign="top" align="center">0.69 (0.53, 0.85)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Treatment, <italic>N</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CCB</td>
<td valign="top" align="center">53 (13.18&#x0025;)</td>
<td valign="top" align="center">24 (9.16&#x0025;)</td>
<td valign="top" align="center">0.13 (&#x2212;0.03, 0.28)</td>
<td valign="top" align="center">0.113</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Beta-blocker</td>
<td valign="top" align="center">362 (90.05&#x0025;)</td>
<td valign="top" align="center">228 (87.02&#x0025;)</td>
<td valign="top" align="center">0.10 (&#x2212;0.06, 0.25)</td>
<td valign="top" align="center">0.226</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ACEI</td>
<td valign="top" align="center">139 (34.58&#x0025;)</td>
<td valign="top" align="center">86 (32.82&#x0025;)</td>
<td valign="top" align="center">0.04 (&#x2212;0.12, 0.19)</td>
<td valign="top" align="center">0.641</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ARB</td>
<td valign="top" align="center">143 (35.57&#x0025;)</td>
<td valign="top" align="center">80 (30.53&#x0025;)</td>
<td valign="top" align="center">0.11 (&#x2212;0.05, 0.26)</td>
<td valign="top" align="center">0.179</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ARNI</td>
<td valign="top" align="center">154 (38.31&#x0025;)</td>
<td valign="top" align="center">115 (43.89&#x0025;)</td>
<td valign="top" align="center">0.11 (&#x2212;0.04, 0.27)</td>
<td valign="top" align="center">0.152</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SGLT2i</td>
<td valign="top" align="center">26 (6.47&#x0025;)</td>
<td valign="top" align="center">28 (10.69&#x0025;)</td>
<td valign="top" align="center">0.15 (&#x2212;0.00, 0.31)</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Spironolactone</td>
<td valign="top" align="center">79 (19.65&#x0025;)</td>
<td valign="top" align="center">73 (27.86&#x0025;)</td>
<td valign="top" align="center">0.19 (0.04, 0.35)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Statins</td>
<td valign="top" align="center">400 (99.50&#x0025;)</td>
<td valign="top" align="center">258 (98.47&#x0025;)</td>
<td valign="top" align="center">0.10 (&#x2212;0.05, 0.26)</td>
<td valign="top" align="center">0.171</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Antiplatelet Drugs</td>
<td valign="top" align="center">400 (99.50&#x0025;)</td>
<td valign="top" align="center">259 (98.85&#x0025;)</td>
<td valign="top" align="center">0.07 (&#x2212;0.08, 0.23)</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Anticoagulant drugs</td>
<td valign="top" align="center">62 (15.42&#x0025;)</td>
<td valign="top" align="center">73 (27.86&#x0025;)</td>
<td valign="top" align="center">0.31 (0.15, 0.46)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Vasoactive drugs</td>
<td valign="top" align="center">15 (3.73&#x0025;)</td>
<td valign="top" align="center">77 (29.39&#x0025;)</td>
<td valign="top" align="center">0.74 (0.57, 0.90)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive inotropic drugs</td>
<td valign="top" align="center">4 (1.00&#x0025;)</td>
<td valign="top" align="center">32 (12.21&#x0025;)</td>
<td valign="top" align="center">0.46 (0.31, 0.62)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Vasodilators</td>
<td valign="top" align="center">340 (84.58&#x0025;)</td>
<td valign="top" align="center">201 (76.72&#x0025;)</td>
<td valign="top" align="center">0.20 (0.04, 0.36)</td>
<td valign="top" align="center">0.011</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IABP</td>
<td valign="top" align="center">6 (1.49&#x0025;)</td>
<td valign="top" align="center">27 (10.31&#x0025;)</td>
<td valign="top" align="center">0.38 (0.22, 0.54)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Temporary cardiac pacemaker</td>
<td valign="top" align="center">20 (4.98&#x0025;)</td>
<td valign="top" align="center">26 (9.92&#x0025;)</td>
<td valign="top" align="center">0.19 (0.03, 0.35)</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ECMO</td>
<td valign="top" align="center">2 (0.50&#x0025;)</td>
<td valign="top" align="center">1 (0.38&#x0025;)</td>
<td valign="top" align="center">0.02 (&#x2212;0.14, 0.17)</td>
<td valign="top" align="center">0.828</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Left ventricular assist device</td>
<td valign="top" align="center">2 (0.50&#x0025;)</td>
<td valign="top" align="center">1 (0.38&#x0025;)</td>
<td valign="top" align="center">0.02 (&#x2212;0.14, 0.17)</td>
<td valign="top" align="center">0.828</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IVUS</td>
<td valign="top" align="center">19 (4.7&#x0025;)</td>
<td valign="top" align="center">8 (3.1&#x0025;)</td>
<td valign="top" align="center">0.1 (&#x2212;0.1, 0.2)</td>
<td valign="top" align="center">0.286</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">CPC quality control index, min</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FMC-to-ECG</td>
<td valign="top" align="center">4.26&#x2009;&#x00B1;&#x2009;3.50</td>
<td valign="top" align="center">4.49&#x2009;&#x00B1;&#x2009;3.53</td>
<td valign="top" align="center">0.07 (&#x2212;0.09, 0.22)</td>
<td valign="top" align="center">0.397</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FMC-to-loading dose DAPT</td>
<td valign="top" align="center">31.58&#x2009;&#x00B1;&#x2009;29.38</td>
<td valign="top" align="center">39.73&#x2009;&#x00B1;&#x2009;35.08</td>
<td valign="top" align="center">0.25 (0.10, 0.41)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diagnosis-to-loading dose DAPT</td>
<td valign="top" align="center">8.82&#x2009;&#x00B1;&#x2009;8.31</td>
<td valign="top" align="center">10.44&#x2009;&#x00B1;&#x2009;9.78</td>
<td valign="top" align="center">0.18 (0.02, 0.33)</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diagnosis-to-the first intravenous heparin</td>
<td valign="top" align="center">10.92&#x2009;&#x00B1;&#x2009;4.48</td>
<td valign="top" align="center">11.59&#x2009;&#x00B1;&#x2009;4.06</td>
<td valign="top" align="center">0.16 (&#x2212;0.00, 0.31)</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Troponin report time</td>
<td valign="top" align="center">17.59&#x2009;&#x00B1;&#x2009;2.49</td>
<td valign="top" align="center">17.55&#x2009;&#x00B1;&#x2009;2.25</td>
<td valign="top" align="center">0.02 (&#x2212;0.14, 0.17)</td>
<td valign="top" align="center">0.829</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Consultation time (notice to arrival)</td>
<td valign="top" align="center">3.36&#x2009;&#x00B1;&#x2009;1.82</td>
<td valign="top" align="center">3.30&#x2009;&#x00B1;&#x2009;1.69</td>
<td valign="top" align="center">0.03 (&#x2212;0.12, 0.19)</td>
<td valign="top" align="center">0.673</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;D-to-B</td>
<td valign="top" align="center">67.87&#x2009;&#x00B1;&#x2009;25.17</td>
<td valign="top" align="center">72.15&#x2009;&#x00B1;&#x2009;29.21</td>
<td valign="top" align="center">0.16 (0.00, 0.31)</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Total ischemic time (onset-to-reperfusion)</td>
<td valign="top" align="center">383.69&#x2009;&#x00B1;&#x2009;395.27</td>
<td valign="top" align="center">475.23&#x2009;&#x00B1;&#x2009;665.85</td>
<td valign="top" align="center">0.17 (0.01, 0.32)</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SO-to-FMC</td>
<td valign="top" align="center">257.83&#x2009;&#x00B1;&#x2009;368.26</td>
<td valign="top" align="center">318.34&#x2009;&#x00B1;&#x2009;633.57</td>
<td valign="top" align="center">0.12 (&#x2212;0.04, 0.27)</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FMC inhospital-to-start reperfusion</td>
<td valign="top" align="center">22.47&#x2009;&#x00B1;&#x2009;17.82</td>
<td valign="top" align="center">25.50&#x2009;&#x00B1;&#x2009;20.74</td>
<td valign="top" align="center">0.16 (0.00, 0.31)</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diagnosis and treatment time in ED</td>
<td valign="top" align="center">30.41&#x2009;&#x00B1;&#x2009;23.34</td>
<td valign="top" align="center">28.89&#x2009;&#x00B1;&#x2009;16.93</td>
<td valign="top" align="center">0.07 (&#x2212;0.08, 0.23)</td>
<td valign="top" align="center">0.364</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FMC inhospital-to-notice consultation</td>
<td valign="top" align="center">11.50&#x2009;&#x00B1;&#x2009;15.17</td>
<td valign="top" align="center">10.59&#x2009;&#x00B1;&#x2009;11.34</td>
<td valign="top" align="center">0.07 (&#x2212;0.09, 0.22)</td>
<td valign="top" align="center">0.407</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Leave ED to arrive CL</td>
<td valign="top" align="center">17.30&#x2009;&#x00B1;&#x2009;23.30</td>
<td valign="top" align="center">22.19&#x2009;&#x00B1;&#x2009;27.98</td>
<td valign="top" align="center">0.19 (0.03, 0.35)</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PCI informed consent time</td>
<td valign="top" align="center">11.07&#x2009;&#x00B1;&#x2009;9.32</td>
<td valign="top" align="center">11.85&#x2009;&#x00B1;&#x2009;12.35</td>
<td valign="top" align="center">0.07 (&#x2212;0.08, 0.23)</td>
<td valign="top" align="center">0.353</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CL activation time</td>
<td valign="top" align="center">13.49&#x2009;&#x00B1;&#x2009;11.01</td>
<td valign="top" align="center">14.29&#x2009;&#x00B1;&#x2009;9.91</td>
<td valign="top" align="center">0.08 (&#x2212;0.08, 0.23)</td>
<td valign="top" align="center">0.343</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Outcome event</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Death</td>
<td valign="top" align="center">8 (1.99&#x0025;)</td>
<td valign="top" align="center">27 (10.31&#x0025;)</td>
<td valign="top" align="center">0.35 (0.19, 0.51)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>NT-proBNP, N-terminal pro-B type natriureti peptide; TnT, Troponin T; Cr, creatinine; LVEF, left ventricular ejection fraction; CCB, calcium antagonist; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; ARNI, angiotensin receptor&#x2014;enkephalase inhibitors; SGLT2i, sodium-dependent glucose transporters 2; IABP, intraaortic balloon counter ppulsation; ECMO, extracorporeal membrane oxygenation; IVUS, intravenous ultrasound; CPC, Chest Pain Center; FMC, first medical contact; ECG, electrocardiogram; DAPT, dual antiplatelet therapy; ACS, acute coronary syndrome; STEMI, St-segment elevation myocardial infarction; D-to-B,&#x003E; door-to-balloon; SO, symptom onset; ED, emergency department; CL, catheter lab; PCI, percutaneous transluminal coronary intervention; CCU, coronary care unit.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Clinical outcomes based on quality control indicators in the CPC</title>
<p>Mortality Risk in Killip Groups: After adjusting, the Killip &#x2265;2 group faced a higher risk of mortality than the Killip 1 group (HR: 2.56; 95&#x0025; CI: 1.06&#x2013;6.15; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>, <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). See <xref ref-type="sec" rid="s10">Supplementary Table 1</xref> for detailed baseline characteristics and <xref ref-type="table" rid="T3">Table&#x00A0;3</xref> for univariate and multivariable analysis.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Results of a multivariate Cox proportional hazards model for the effect of admission Killip classification on death in STEMI patients undergoing emergency PCI.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Non-adjusted Hazard ratio (95&#x0025; CI)</th>
<th valign="top" align="center">Adjust I Hazard/Risk ratio (95&#x0025; CI)</th>
<th valign="top" align="center">Adjust II Hazard/Risk ratio (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4">Death</td>
</tr>
<tr>
<td valign="top" align="left">Killip class 1 Group</td>
<td valign="top" align="left">Ref.</td>
<td valign="top" align="left">Ref.</td>
<td valign="top" align="left">Ref.</td>
</tr>
<tr>
<td valign="top" align="left">Killip class &#x2265;2 Group</td>
<td valign="top" align="left">4.93 (2.24, 10.87)&#x2021;</td>
<td valign="top" align="left">4.15 (1.87, 9.20)&#x2021;</td>
<td valign="top" align="left">2.56 (1.06, 6.15)&#x00A7;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>PCI,&#x003E; percutaneous transluminal coronary intervention; STEMI,&#x003E; St-segment elevation myocardial infarction; CI,&#x003E; con&#xFB01;dence interval; CCU,&#x003E; coronary care unit.</p></fn>
<fn id="table-fn3"><p>Non-adjusted model adjust for: None.</p></fn>
<fn id="table-fn4"><p>Adjust I model adjust for: sex (woman 0/man 1); age.</p></fn>
<fn id="table-fn5"><p>Adjust II model adjust for: sex; age; current smoker; hyperlipidemia; hypertension; atrial fibrillation/atrial flutter; diabetes mellitus; stroke; renal insufficiency; admission systolic blood pressure; admission heart rate; maximum NT-proBNP; maximum troponin.</p></fn>
<fn id="table-fn6"><p><sup>&#x2021;</sup><italic>P</italic>&#x2009;&#x003C;&#x2009;0.001. <sup>&#x00A7;</sup><italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Kaplan&#x2013;Meier survival curves for patients with STEMI undergoing emergency PCI, categorized by Killip class.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1243436-g002.tif"/>
</fig>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Single factor analysis and multivariate Cox proportional risk analysis of quality control indicators and death after grouping by Killip classification.</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" rowspan="2"/>
<th valign="top" align="center" colspan="2">Non-adjusted Hazard ratio (95&#x0025; CI)</th>
<th valign="top" align="center" colspan="2">Multivariable adjusted Hazard ratio (95&#x0025; CI)</th>
</tr>
<tr>
<th valign="top" align="center">Killip class 1 Group</th>
<th valign="top" align="center">Killip class &#x2265;2 Group</th>
<th valign="top" align="center">Killip class 1 Group</th>
<th valign="top" align="center">Killip class &#x2265;2 Group</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Quality control indexs as continuous variables</td>
</tr>
<tr>
<td valign="top" align="left">FMC-to-ECG</td>
<td valign="top" align="center">1.059 (0.893, 1.256)</td>
<td valign="top" align="center">0.982 (0.878, 1.098)</td>
<td valign="top" align="center">1.022 (0.851, 1.227)</td>
<td valign="top" align="center">1.004 (0.899, 1.121)</td>
</tr>
<tr>
<td valign="top" align="left">FMC-to-loading dose DAPT</td>
<td valign="top" align="center">0.960 (0.908, 1.014)</td>
<td valign="top" align="center">1.004 (0.995, 1.014)</td>
<td valign="top" align="center">0.938 (0.874, 1.007)</td>
<td valign="top" align="center">1.004 (0.993, 1.015)</td>
</tr>
<tr>
<td valign="top" align="left">diagnosis-to-loading dose DAPT</td>
<td valign="top" align="center">0.889 (0.765, 1.033)</td>
<td valign="top" align="center"><bold>1.043 (1.008, 1.079)&#x00A7;</bold></td>
<td valign="top" align="center">0.859 (0.718, 1.028)</td>
<td valign="top" align="center"><bold>1.063 (1.021, 1.106)&#x00A7;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis-to-the first intravenous heparin</td>
<td valign="top" align="center">0.884 (0.732, 1.067)</td>
<td valign="top" align="center">1.055 (0.973, 1.144)</td>
<td valign="top" align="center">0.900 (0.742, 1.092)</td>
<td valign="top" align="center">1.049 (0.961, 1.146)</td>
</tr>
<tr>
<td valign="top" align="left">Troponin report time</td>
<td valign="top" align="center">0.970 (0.721, 1.304)</td>
<td valign="top" align="center">1.048 (0.912, 1.203)</td>
<td valign="top" align="center">0.953 (0.700, 1.297)</td>
<td valign="top" align="center">1.048 (0.883, 1.243)</td>
</tr>
<tr>
<td valign="top" align="left">Consultation time (notice to arrival)</td>
<td valign="top" align="center">1.275 (0.992, 1.640)</td>
<td valign="top" align="center"><bold>1.263 (1.054, 1.514)&#x00A7;</bold></td>
<td valign="top" align="center">1.237 (0.954, 1.604)</td>
<td valign="top" align="center">1.203 (0.974, 1.485)</td>
</tr>
<tr>
<td valign="top" align="left">D-to-B time</td>
<td valign="top" align="center">1.002 (0.975, 1.029)</td>
<td valign="top" align="center"><bold>1.018 (1.007, 1.030)&#x00A7;</bold></td>
<td valign="top" align="center">0.992 (0.961, 1.025)</td>
<td valign="top" align="center"><bold>1.021 (1.006, 1.035)&#x00A7;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total ischemic time (onset-to-reperfusion)</td>
<td valign="top" align="center">1.001 (0.999, 1.002)</td>
<td valign="top" align="center">1.000 (0.999, 1.001)</td>
<td valign="top" align="center">1.001 (0.999, 1.002)</td>
<td valign="top" align="center">1.000 (0.999, 1.001)</td>
</tr>
<tr>
<td valign="top" align="left">SO-to-FMC</td>
<td valign="top" align="center">1.001 (0.999, 1.002)</td>
<td valign="top" align="center">1.000 (0.999, 1.001)</td>
<td valign="top" align="center">1.001 (0.999, 1.002)</td>
<td valign="top" align="center">1.000 (0.999, 1.001)</td>
</tr>
<tr>
<td valign="top" align="left">FMC inhospital-to-start reperfusion</td>
<td valign="top" align="center">1.019 (0.990, 1.050)</td>
<td valign="top" align="center">1.006 (0.989, 1.023)</td>
<td valign="top" align="center">1.018 (0.983, 1.055)</td>
<td valign="top" align="center">1.010 (0.991, 1.030)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis and treatment time in ED</td>
<td valign="top" align="center">1.005 (0.983, 1.027)</td>
<td valign="top" align="center">1.003 (0.981, 1.026)</td>
<td valign="top" align="center">1.011 (0.985, 1.039)</td>
<td valign="top" align="center">1.004 (0.977, 1.032)</td>
</tr>
<tr>
<td valign="top" align="left">FMC inhospital-to-notice consultation</td>
<td valign="top" align="center">1.011 (0.985, 1.038)</td>
<td valign="top" align="center">0.971 (0.911, 1.035)</td>
<td valign="top" align="center">1.020 (0.990, 1.052)</td>
<td valign="top" align="center">0.991 (0.927, 1.060)</td>
</tr>
<tr>
<td valign="top" align="left">Leave ED to arrive CL</td>
<td valign="top" align="center">0.993 (0.954, 1.032)</td>
<td valign="top" align="center">1.006 (0.995, 1.017)</td>
<td valign="top" align="center">0.973 (0.927, 1.021)</td>
<td valign="top" align="center">1.011 (0.999, 1.024)</td>
</tr>
<tr>
<td valign="top" align="left">PCI informed consent time</td>
<td valign="top" align="center">0.952 (0.861, 1.053)</td>
<td valign="top" align="center"><bold>1.033 (1.014, 1.051)&#x2021;</bold></td>
<td valign="top" align="center">0.914 (0.815, 1.026)</td>
<td valign="top" align="center"><bold>1.036 (1.015, 1.059)&#x00A7;</bold></td>
</tr>
<tr>
<td valign="top" align="left">CL activation time</td>
<td valign="top" align="center">0.950 (0.868, 1.040)</td>
<td valign="top" align="center"><bold>1.038 (1.006, 1.070)&#x00A7;</bold></td>
<td valign="top" align="center">0.945 (0.875, 1.021)</td>
<td valign="top" align="center"><bold>1.045 (1.004, 1.088)&#x00A7;</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Whether quality control indicators meet the standard</td>
</tr>
<tr>
<td valign="top" align="left">FMC-to-ECG&#x2009;&#x003C;&#x2009;10&#x2005;min</td>
<td valign="top" align="center">0.534 (0.066, 4.343)</td>
<td valign="top" align="center">1.389 (0.329, 5.866)</td>
<td valign="top" align="center">0.702 (0.067, 7.309)</td>
<td valign="top" align="center">1.136 (0.256, 5.051)</td>
</tr>
<tr>
<td valign="top" align="left">FMC-to-loading dose DAPT&#x2009;&#x003C;&#x2009;30&#x2005;min</td>
<td valign="top" align="center">1.989 (0.399, 9.910)</td>
<td valign="top" align="center">0.625 (0.292, 1.336)</td>
<td valign="top" align="center">2.525 (0.405, 15.723)</td>
<td valign="top" align="center">0.591 (0.257, 1.358)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis-to-loading dose DAPT&#x2009;&#x003C;&#x2009;10&#x2005;min</td>
<td valign="top" align="center">5.003 (0.608, 41.176)</td>
<td valign="top" align="center">0.539 (0.252, 1.152)</td>
<td valign="top" align="center">5.758 (0.603, 54.997)</td>
<td valign="top" align="center">0.497 (0.214, 1.156)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis-to-the first intravenous heparin&#x2009;&#x003C;&#x2009;10&#x2005;min</td>
<td valign="top" align="center">1.721 (0.321, 9.218)</td>
<td valign="top" align="center">1.180 (0.351, 3.967)</td>
<td valign="top" align="center">1.531 (0.250, 9.359)</td>
<td valign="top" align="center">0.755 (0.195, 2.922)</td>
</tr>
<tr>
<td valign="top" align="left">Troponin report time&#x2009;&#x003C;&#x2009;20&#x2005;min</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.252 (0.059, 1.065)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.408 (0.060, 2.783)</td>
</tr>
<tr>
<td valign="top" align="left">Consultation time (notice to arrival) &#x003C;10&#x2005;min</td>
<td valign="top" align="center"><bold>0.080 (0.010, 0.650)&#x00A7;</bold></td>
<td valign="top" align="center">0.193 (0.026, 1.428)</td>
<td valign="top" align="center"><bold>0.077 (0.006, 0.958)&#x00A7;</bold></td>
<td valign="top" align="center">0.204 (0.019, 2.202)</td>
</tr>
<tr>
<td valign="top" align="left">D-to-B&#x2009;&#x003C;&#x2009;90&#x2005;min</td>
<td valign="top" align="center">1.505 (0.185, 12.233)</td>
<td valign="top" align="center">0.553 (0.248, 1.232)</td>
<td valign="top" align="center">1.930 (0.221, 16.873)</td>
<td valign="top" align="center">0.526 (0.210, 1.321)</td>
</tr>
<tr>
<td valign="top" align="left">Total ischemic time (onset-to-reperfusion)&#x2009;&#x003C;&#x2009;120&#x2005;min</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1.151 (0.346, 3.829)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1.066 (0.301, 3.778)</td>
</tr>
<tr>
<td valign="top" align="left">SO-to-FMC&#x2009;&#x003C;&#x2009;90&#x2005;min</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.741 (0.332, 1.652)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.622 (0.259, 1.496)</td>
</tr>
<tr>
<td valign="top" align="left">FMC inhospital-to-start reperfusion&#x2009;&#x003C;&#x2009;30&#x2005;min</td>
<td valign="top" align="center">0.394 (0.094, 1.652)</td>
<td valign="top" align="center">0.750 (0.328, 1.715)</td>
<td valign="top" align="center">0.509 (0.104, 2.485)</td>
<td valign="top" align="center">0.706 (0.275, 1.815)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis and treatment time in ED &#x003C;30&#x2005;min</td>
<td valign="top" align="center">0.528 (0.130, 2.155)</td>
<td valign="top" align="center">0.758 (0.354, 1.619)</td>
<td valign="top" align="center">0.409 (0.083, 2.013)</td>
<td valign="top" align="center">0.643 (0.277, 1.496)</td>
</tr>
<tr>
<td valign="top" align="left">FMC inhospital-to-notice consultation&#x2009;&#x003C;&#x2009;15&#x2005;min</td>
<td valign="top" align="center">0.378 (0.090, 1.583)</td>
<td valign="top" align="center">0.749 (0.284, 1.980)</td>
<td valign="top" align="center">0.297 (0.060, 1.476)</td>
<td valign="top" align="center">0.563 (0.186, 1.704)</td>
</tr>
<tr>
<td valign="top" align="left">Leave ED to arrive CL&#x2009;&#x003C;&#x2009;20&#x2005;min</td>
<td valign="top" align="center">0.965 (0.228, 4.087)</td>
<td valign="top" align="center">0.690 (0.324, 1.469)</td>
<td valign="top" align="center">1.991 (0.354, 11.184)</td>
<td valign="top" align="center">0.584 (0.249, 1.368)</td>
</tr>
<tr>
<td valign="top" align="left">PCI informed consent time&#x2009;&#x003C;&#x2009;20&#x2005;min</td>
<td valign="top" align="center">1.738 (0.213, 14.156)</td>
<td valign="top" align="center"><bold>0.324 (0.150, 0.697)&#x00A7;</bold></td>
<td valign="top" align="center">4.020 (0.380, 42.566)</td>
<td valign="top" align="center"><bold>0.258 (0.099, 0.675)&#x00A7;</bold></td>
</tr>
<tr>
<td valign="top" align="left">CL activation time&#x2009;&#x003C;&#x2009;30&#x2005;min</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1.653 (0.224, 12.194)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1.443 (0.173, 12.058)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn7"><p>CI,&#x003E; confidence interval; MACE,&#x003E; major adverse cardiac events; CEP,&#x003E; composite endpoint; CCU,&#x003E; coronary care unit; FMC,&#x003E; first medical contact; ECG,&#x003E; electrocardiogram; DAPT,&#x003E; dual antiplatelet therapy; D-to-B,&#x003E; door-to-balloon; SO,&#x003E; symptom onset; ED,&#x003E; emergency department; CL,&#x003E; catheter lab; PCI,&#x003E; percutaneous transluminal coronary intervention; NA,&#x003E; not available.</p></fn>
<fn id="table-fn8"><p>Bold represent significant values (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
<fn id="table-fn9"><p><sup>&#x2021;</sup><italic>P</italic>&#x2009;&#x003C;&#x2009;0.001. <sup>&#x00A7;</sup><italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Impacts of Time Delays: In the Killip &#x2265;2 group, delays like increased D-to-B time, informed consent time for PCI, catheterization laboratory activation time, and time from confirmed diagnosis-to-loading dose DAPT were associated with higher mortality risks (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>, <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Relationship between time-related metrics and mortality in STEMI patients undergoing emergency PCI: (<bold>A</bold>) displays the relationship between the time from diagnosis to the administration of loading dose dual antiplatelet therapy (DAPT) and patient mortality. (<bold>B</bold>) Demonstrates the association between door-to-balloon (D-to-B) time, which represents the time from the patient&#x0027;s arrival at the hospital to the opening of the blocked artery, and patient mortality. (<bold>C</bold>) Shows the correlation between the time taken to obtain informed consent for PCI and patient mortality. (<bold>D</bold>) Presents the relationship between Cath Lab activation time, the duration from the decision of performing PCI to the actual procedure initiation, and patient mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1243436-g003.tif"/>
</fig>
<p>Beneficial Timeframes: In Killip 1, consultation time (notice to arrival) under 10&#x2005;min reduced death risk by 92.3&#x0025;. For Killip &#x2265;2, an informed consent time (start-signature) under 20&#x2005;min reduced death risk by 74.2&#x0025; (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>, <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Kaplan&#x2013;Meier survival curves: (<bold>A</bold>) displays the survival probability comparison between patients with Killip class I where the consultation time (notice to arrival) is less than 10&#x2005;min and those with consultation time (notice to arrival) equal to or more than 10&#x2005;min. (<bold>B</bold>) Illustrates the survival probability comparison among patients with Killip Class &#x2265;2, where the time to obtain informed consent for PCI is less than 20&#x2005;min and those with PCI informed consent time equal to or more than 20&#x2005;min.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1243436-g004.tif"/>
</fig>
</sec>
<sec id="s3c"><title>Clinical outcomes in different core departments</title>
<p>Protocols and Death Risk: Filling in the chest pain form as per the emergency department protocol reduced the death risk by 68.8&#x0025;. Standardized writing of discharge records in the cardiology ward further decreased it by 92.9&#x0025; (<xref ref-type="sec" rid="s10">Supplementary Table 2</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<sec id="s4a"><title>Objectives and main outcomes of the study</title>
<p>This study was conducted to thoroughly evaluate the influence of multiple quality control indicators within the CPC on the mortality risk for STEMI patients who underwent PCI during the COVID-19 outbreak. The findings indicate that prolonged D-to-B time, PCI informed consent time, catheterization laboratory activation time, and the span from diagnosis to DAPT are strongly related to increased mortality risks for patients with Killip &#x2265;2, but not as significantly for those classified under Killip 1 (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Core results.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1243436-g005.tif"/>
</fig>
</sec>
<sec id="s4b"><title>Significance of time-sensitive interventions</title>
<p>The outcomes stress the value of prompt interventions and a fluid workflow within the CPC to better serve STEMI patients. Key aspects like the extended D-to-B time, informed PCI consent duration, catheterization lab activation period, and the time from confirmed ACS diagnosis to DAPT initiation, particularly in Killip &#x2265;2 patients, show the critical importance of timely and coordinated efforts in handling high-risk patients.</p>
</sec>
<sec id="s4c"><title>Comparative analysis with prior research</title>
<p>Compared to preceding research, our study aligns in asserting that establishing chest pain centers elevates AMI quality control and enhances its prognosis (<xref ref-type="bibr" rid="B18">18</xref>). The observed correlation between D-to-B time and patient mortality has been similarly emphasized in previous studies, which advocate for the urgency in the establishment of chest pain centers to upgrade the emergency cardiovascular disease management, especially regarding AMI (<xref ref-type="bibr" rid="B19">19</xref>). Like other countries, the routine STEMI protocol as recommended by Chest Pain Centers considers PPCI as the standard treatment (<xref ref-type="bibr" rid="B20">20</xref>). Our study illuminates that while prolonged D-to-B times escalate mortality risks for those under the Killip &#x2265;2 classification, they don&#x0027;t significantly affect the Killip 1 group. This is in line with another retrospective study (<xref ref-type="bibr" rid="B21">21</xref>) and a cross-sectional study from 2018 to 2021 (<xref ref-type="bibr" rid="B22">22</xref>), both underscoring the importance of rapid PCI intervention.</p>
</sec>
<sec id="s4d"><title>In-depth insights beyond previous studies</title>
<p>Our research distinguishes itself by offering new insights into key facets and quality control metrics within chest pain centers that can effectively reduce mortality rates. Unlike prior studies that broadly hinted at the potential of chest pain centers to decrease mortality rates or trim down D-to-B times, our study delves deeper, pinpointing specific components within chest pain centers leading to improved patient outcomes.Multiple studies have underscored the criticality of timely PCI treatment and rapid restoration of vessel patency, as they significantly reduce the mortality rate in STEMI patients (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="s4e"><title>Additional challenges due to the COVID-19 pandemic</title>
<p>The ongoing pandemic posed an added challenge, necessitating a balance between urgent STEMI treatments and measures to contain the virus&#x0027;s spread (<xref ref-type="bibr" rid="B11">11</xref>). Our study suggests a strategic approach: swiftly identifying and prioritizing Killip &#x2265;2 group STEMI patients and implementing additional precautions for the Killip 1 group.</p>
</sec>
<sec id="s4f"><title>Further observations and recommendations</title>
<p>Our findings affirm that prolonged PCI informed consent and CL activation times can lead to increased mortality in Killip &#x2265;2 patients, especially since these metrics correlate closely with D2B time (<xref ref-type="bibr" rid="B26">26</xref>). Enhancing public health awareness and fortifying physician-patient communication can potentially address these delays. Moreover, we observed no significant difference in mortality risks based on consultation methods (teleconsultation vs. on-site) or the varying professional backgrounds of medical personnel, highlighting the benefits of standardized procedures within chest pain centers (<xref ref-type="sec" rid="s10">Supplementary Table 3</xref>).</p>
</sec>
<sec id="s4g"><title>Limitations</title>
<p>The limitations of this study are mainly evident in the following aspects: This study is a retrospective investigation conducted within a specific time period and with a particular sample, which may introduce selection bias and restrict the generalizability and applicability of the findings; The data collection methods and metrics employed in the study may entail certain inaccuracies and subjectivity, potentially impacting the results.</p>
</sec>
<sec id="s4h"><title>Future perspectives</title>
<p>Addressing the aforementioned limitations and shortcomings, future research should further explore the following areas: conduct prospective studies to minimize the possibility of omissions and biases; explore additional potential quality control indicators and factors to further enhance the effectiveness of emergency PCI procedures and patient outcomes; optimize the collaborative management of emergency PCI, including strengthening communication and coordination among physicians from diverse professional backgrounds and improving workflow across relevant departments to elevate the overall level of patient care.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Our study identifies critical time-sensitive interventions, such as door-to-balloon, PCI informed consent, and time from diagnosis to DAPT loading dose, as significant determinants of mortality risk in STEMI patients, especially those with Killip &#x2265;2 classification. Shortening specific treatment intervals markedly reduces this risk. Adherence to standardized documentation practices further mitigates mortality risks across all STEMI patients. Interestingly, consultation modalities and physicians&#x0027; backgrounds showed no significant impact on outcomes. These findings highlight the necessity of tailored treatments based on Killip classification and the importance of standardized management in chest pain centers, especially during the COVID-19 pandemic.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The datasets generated and analyzed during the current study are not publicly available because the database owner is reluctant to make them public but they are available from the corresponding author upon reasonable request. Requests to access these datasets should be directed to Lingling Zhang, <email>linglingzhang0217@163.com</email>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The study protocol was approved by the Ethics Committee of Xiangtan Central Hospital (Xiangtan, China, No. 2023-02-001) and conformed to the principles outlined in the Declaration of Helsinki. The need for informed consent was waived by the ethics committee Review Board of Xiangtan Central Hospital, because of the retrospective nature of the study. 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 of the retrospective nature of the study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>LZ, JZ, HH: established the hypothesis, performed the statistical analysis, wrote the manuscript. YZ and KP: interpreted statistical analysis and conducted multivariate analysis. CL and FL: data collection and participated follow-up. WY and MW: initiated the study hypothesis, edited the manuscript. All authors contributed to the article and approved the submitted version.</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="s11" 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="s10" 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.2023.1243436/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1243436/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
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</sec>
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