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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.2024.1401586</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>The clinical characteristics analysis of serum markers for the cardiovascular system in early-stage COVID-19 patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Cao</surname><given-names>Xi</given-names></name>
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<contrib contrib-type="author"><name><surname>Xie</surname><given-names>Yong-Li</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Yi</surname><given-names>Jian-ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Zhi-li</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Dong-dong</given-names></name>
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<contrib contrib-type="author"><name><surname>Yue</surname><given-names>Ying-ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2394909/overview" />
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<contrib contrib-type="author"><name><surname>Li</surname><given-names>Tian-ning</given-names></name>
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<contrib contrib-type="author" corresp="yes"><name><surname>Zhou</surname><given-names>Chun-lei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Mu</surname><given-names>Hong</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 Clinical Laboratory, Tianjin First Central Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Clinical Laboratory, Tianjin Stomatological Hospital, School of Medicine, Nankai University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin Stomatological Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Clinical Laboratory, The Third Central Hospital</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Otto Alexander Sanchez, Minneapolis Heart Institute Foundation (MHIF), United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Naufal Zagidullin, Bashkir State Medical University, Russia</p>
<p>Alexander E Berezin, Paracelsus Medical University, Austria</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Chun-lei Zhou <email>tj_zcl@hotmail.com</email> Hong Mu <email>mutjyzxyy@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>26</day><month>07</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>11</volume><elocation-id>1401586</elocation-id>
<history>
<date date-type="received"><day>15</day><month>03</month><year>2024</year></date>
<date date-type="accepted"><day>17</day><month>07</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Cao, Xie, Yi, Liu, Zhang, Yue, Li, Zhou and Mu.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Cao, Xie, Yi, Liu, Zhang, Yue, Li, Zhou and Mu</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>This study aimed to investigate alterations in serum markers [creatine kinase-MB (CKMB), cardiac troponin T (cTnT), myoglobin (Myo), B-type natriuretic peptide (BNP), D-dimer (DD), procalcitonin (PCT) and interleukin-6 (IL6)] in early Omicron variant infection and analyzed their correlation with clinical parameters.</p>
</sec><sec><title>Methods</title>
<p>Retrospective analysis of 1,138 mild/asymptomatic cases at Tianjin First Central Hospital, including age, gender, serum markers and nucleic acid test results. Statistical analysis used SPSS software, version 24.0.</p>
</sec><sec><title>Results</title>
<p>Elevated cTnT, BNP (125&#x2013;400), and DD (0.55&#x2013;1.10) levels were prevalent at 12.92&#x0025;, 15.64&#x0025;, and 14.50&#x0025;, respectively. Females had significantly higher proportions with slightly elevated BNP (19.34&#x0025;) and DD (19.69&#x0025;) levels. Patients over 35 had a higher proportion of slight elevation in BNP (20.00&#x0025;). Abnormal levels of serum markers were significantly associated with older age, increased PCT and IL6 levels, as well as delayed nucleic acid clearance. Additionally, levels of immunoglobulin G (IgG) were notably reduced in these cases. Patients with prolonged nucleic acid clearance (&#x003E;14 days) had higher BNP and DD levels upon admission. Logistic regression identified PCT (OR&#x2009;&#x003D;&#x2009;237.95) as the most significant risk factor for abnormal serum markers for cardiovascular system injury.</p>
</sec><sec><title>Conclusion</title>
<p>Early Omicron infection might do subclinical damage to the cardiovascular system. Elevated cTnT, BNP and DD levels were correlated with age, gender, inflammatory factors, and IgG. Notably, high PCT level emerged as the most robust predictor of abnormal serum biomarkers.</p>
</sec>
</abstract>
<kwd-group>
<kwd>omicron</kwd>
<kwd>cardiovascular system injury</kwd>
<kwd>B-type natriuretic peptide</kwd>
<kwd>D-dimer</kwd>
<kwd>procalcitonin</kwd>
</kwd-group>
<contract-num rid="cn001">TJYXZDXK-015A</contract-num>
<contract-num rid="cn002">21ZXJBSY00040</contract-num>
<contract-sponsor id="cn001">Tianjin Key Medical Discipline (Specialty) Construction Project</contract-sponsor>
<contract-sponsor id="cn002">Tianjin Key Science and Technology Project of Tianjin Science and Technology Bureau</contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="34"/><page-count count="7"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Epidemiology and Prevention</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>The COVID-19 pandemic had emerged as a global health crisis of substantial magnitude. While severe respiratory failure was the primary cause of mortality in patients with coronavirus disease 2019 (COVID-19) (<xref ref-type="bibr" rid="B1">1</xref>), a considerable number of patients had also suffered from cardiovascular diseases (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). These included not only cardiac injury but also thromboembolic events (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Previous research indicated that individuals with severe symptom, pre-existing medical conditions or advanced age were at a higher risk of developing COVID-19-related cardiovascular diseases (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Indeed, the impact of COVID-19 extends beyond severe cases, as the cardiovascular health of individuals with mild cases may also be compromised. A previous report indicated that cardiac involvement was present even in COVID-19 patients who exhibited asymptomatic or mild symptom (<xref ref-type="bibr" rid="B7">7</xref>). Rajpal and colleagues (<xref ref-type="bibr" rid="B8">8</xref>) demonstrated that some young patients continued to experience myocardial inflammation following recovery from COVID-19, despite having initially been asymptomatic or experiencing only mild symptoms. With the emergence of the Omicron variant as the dominant strain in circulation, those infected with the Omicron variant tend to be younger, had fewer comorbidities, and experienced lower disease severity and mortality, with asymptomatic or mild symptom being more prevalent (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). This had raised concerns about the potential for cardiovascular system injury in Omicron-infected individuals, particularly those who were asymptomatic or had only mild symptoms. To date, most studies on cardiovascular serum markers associated with Omicron infection have primarily focused on severe cases or elderly patients with chronic diseases. The status of the cardiovascular system in asymptomatic or mild cases remains unknown, and it is still unclear whether these individuals are at risk for cardiovascular complications.</p>
<p>Serum markers such as CK-MB, cTnT, Myo, BNP, and DD offered considerable clinical utility for rapid and precise assessment of the patient&#x0027;s cardiovascular status. In order to fill this gap in relevant knowledge, we conducted a retrospective study that evaluated serum markers suggestive of cardiovascular system injury (CK-MB, cTnT, Myo, BNP, and DD) adjusted for demographic characteristics and other relevant markers, in a cohort of 1,138 asymptomatic or mild patients with Omicron infection.</p>
</sec>
<sec id="s2"><title>Material and methods</title>
<sec id="s2a"><title>Participants and data source</title>
<p>The study was conducted at Tianjin First Central Hospital in Tianjin, China, spanning from March 2022 to June 2023. The COVID-19 strain from these infected patients had been sequenced and identified as the Omicron variant. Inclusion criteria comprised: (1) confirmation of asymptomatic or mild COVID-19 cases, (2) performance of nasopharyngeal swab tests more than twice during the hospital stay with an interval time &#x003E;24&#x2005;h, and (3) availability of results for CKMB, cTnT, Myo, BNP, and DD upon admission. Exclusion criteria included: (1) patients with liver and/or kidney dysfunction, (2) patients with serious inflammatory diseases such as chronic pulmonary disease, digestive system disease, immunological diseases, and others, (3) patients with cerebral infarction or cardiovascular issues at admission, or (4) patients with missing data. A total of 1,138 COVID-19 patients were included, comprising 589 asymptomatic and 549 mild cases. Data collection involved recording symptoms at admission, laboratory results, and nucleic acid test outcomes from the COVID-19 rehabilitation ward at Tianjin First Central Hospital. The diagnosis of asymptomatic or mild cases followed guidelines provided by the National Health Commission of China. Mild patients primarily exhibited clinical symptoms such as fever, slight fatigue, and disorders of smell and taste. In CT scans of the lungs, there were no characteristic interstitial changes typically seen in COVID-19 infections. The diagnosis and grouping of patients depended on clinical infectious disease doctors.</p>
<p>Chest CT scans were reviewed by specialized physicians. None patients showed radiological signs of pneumonia. We had reviewed the electronic medical records of all enrolled patients and confirmed that upon admission, none had history of long-term medication use and exhibited clinical symptoms indicative of cardiovascular disease. Those were classified into the abnormal group if they exhibited values for one or more serum markers suggestive of cardiovascular system injury (CK-MB, cTnT, Myo, BNP, and DD) that exceeded the normal reference ranges. Patients were categorized into two groups based on the presence of abnormal serum markers for cardiovascular system injury: those with normal indicators (652 patients) and those with elevated indicators (486 patients). Reference values for serum markers suggestive of cardiovascular system injury (CKMB, cTnT, Myo, BNP, and DD) were established as follows: CKMB: 0.30&#x2013;3.61&#x2005;ng/ml, Myo: 25&#x2013;58&#x2005;ng/ml, cTnT: 3&#x2013;14&#x2005;ng/L, BNP: 5&#x2013;125 pg/ml, DD: 0.03&#x2013;0.55&#x2005;mg/L fibrinogen equivalent unit (FEU). In this study, patients with CKMB (&#x003E;3.61&#x2005;ng/ml), cTnT (&#x003E;14&#x2005;ng/L), or Myo (&#x003E;58&#x2005;ng/ml) were classified as having abnormal elevation. The normal range for BNP is 0&#x2013;125, with levels between 125 and 400 indicating a potential risk of heart failure, and levels exceeding 400 suggesting a significantly increased incidence of heart failure (<xref ref-type="bibr" rid="B12">12</xref>). The normal range for D-Dimer is 0&#x2013;0.55. Levels exceeding twice the critical value indicated an increased risk of intravascular coagulation (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, abnormal elevation of BNP and DD was categorized into two levels (BNP: 125&#x2013;400 and &#x003E;400; DD: 0.55&#x2013;1.10 and &#x003E;1.10). In order to explore the influence of other factors, patients were categorized according to their clinical symptoms, gender, and age. Within the patient cohort, there were 589 asymptomatic patients and 549 patients. The gender distribution was nearly equal, with 564 male and 574 female patients. To ensure roughly equal numbers of patients in both groups, we selected the median age of the enrolled patients as the threshold: 35 years (Year &#x2264;35: <italic>n</italic>&#x2009;&#x003D;&#x2009;593; Year &#x003E;35: <italic>n</italic>&#x2009;&#x003D;&#x2009;545).</p>
<p>Serum IgG/IgM against the SARS-CoV-2 protein were assessed using magnetic particle chemiluminescence (Biology and Science, China). CKMB, cTnT, Myo, BNP, DD, PCT, and IL6 were evaluated through quantitative electrochemiluminescence immunoassay (Ren mai, China). Nasopharyngeal swabs were collected daily from all patients to minimize the occurrence of false-negative results in hospital. Each patient&#x0027;s sample was tested using commercial SARS-CoV-2 kits from two different manufacturers (Sheng Xiang/Bo Jie, China). According to the ninth edition of the China Novel Coronavirus Pneumonia Prevention and Control Protocol, COVID-19 patients were advised to be isolated for at least 14 days. So we set limit at 14 days, the patients were then divided into two groups: one group included patients whose nucleic acid turned negative &#x2264;14 days (<italic>n</italic>&#x2009;&#x003D;&#x2009;459), and the other group included patients whose nucleic acid turned negative &#x003E;14 days (<italic>n</italic>&#x2009;&#x003D;&#x2009;679).</p>
<p>RT-PCR assays targeting two genes: the open reading frame of 1ab (ORF1ab) and the nucleocapsid protein (N). SARS-CoV-2 RNA detection were performed, and the cycle threshold value (Ct-value) less than 40 with an S- shape amplification curve was defined as positive. The clinical classification for COVID-19 patients were based on the China Technical Guidelines for Laboratory Testing for COVID-19. The date of diagnosis was defined as the day when the first sample tested positive for SARS-CoV-2 by RT-PCR. Discharge criteria adhered to WHO guidance, requiring two consecutive negative PCR swabs taken more than 24&#x2005;h apart, with no clinical symptoms. This study received approval from the Medical Ethics Committee of Tianjin First Central Hospital (Ethics Committee archiving No. 2022N052KY) and adhered to the principles outlined in the Declaration of Helsinki.</p>
</sec>
<sec id="s2b"><title>Statistical analysis</title>
<p>Statistical analysis was conducted using SPSS 24.0 for Windows software (SPSS, Chicago, IL). Normally distributed data were presented as the mean&#x2009;&#x00B1;&#x2009;standard deviation. Between-group comparisons of variables with a normal distribution and homogeneous variances were performed using the <italic>t</italic>-test. Non-normally distributed data were expressed as the median (upper quartile and lower quartile), and the non-parametric Mann&#x2013;Whitney <italic>U</italic>-test was used for between-group comparisons of non-normally distributed or heterogeneously variant data. Categorical characteristics were described in counts and percentages (&#x0025;), with the chi-squared test used for categorical variables. Risk factors were analyzed through univariate logistic regression, providing the <italic>P</italic>-value and odds ratio (OR), accompanied by its 95&#x0025; confidence interval (CI). Significance was determined at <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05, and a 95&#x0025; CI for OR; an OR &#x003E;1 indicated an increased risk of the event, while an OR &#x003C;1 indicated a decreased risk. A <italic>P</italic>-value of &#x003C;0.05 was considered statistically significant, and <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001 was considered highly statistically significant. The covariates included in the models were selected through a stepwise regression analysis. All covariates that demonstrated a statistically significant impact on the dependent variable were retained in models (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>In this cross-sectional retrospective study, a total of 1,138 COVID-19 patients were included, consisting of 589 asymptomatic and 549 mild cases. The male population constituted approximately 50.42&#x0025; of the asymptomatic group and 48.63&#x0025; of the mild group, with mean ages of 32.46&#x2009;&#x00B1;&#x2009;0.61 and 33.94&#x2009;&#x00B1;&#x2009;0.61 years old, respectively (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Clinical characteristics of biochemistry and hematology were summarized in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>, revealing a significant difference only in IgG levels between asymptomatic and mild patients, with mild patients exhibiting higher levels (19.27&#x2009;&#x00B1;&#x2009;1.73 vs. 26.16&#x2009;&#x00B1;&#x2009;2.15) (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). Among the total COVID-19 patients, a relatively high proportion had elevated levels of cTnT, BNP, and DD (12.92&#x0025;, 17.66&#x0025;, and 19.77&#x0025;, respectively) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). In contrast, the proportions of patients with elevated levels of CKMB and Myo were lower, at 1.83&#x0025; and 2.99&#x0025;, respectively (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Laboratory characteristics of 1,138 asymptomatic or mild patients (mean&#x2009;&#x00B1;&#x2009;SD).</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">Variables</th>
<th valign="top" align="center">Asymptomatic patients</th>
<th valign="top" align="center">Mild patients</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cases, <italic>n</italic></td>
<td valign="top" align="center">589</td>
<td valign="top" align="center">549</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">297 (50.42&#x0025;)</td>
<td valign="top" align="center">267 (48.63&#x0025;)</td>
<td valign="top" align="center">0.546</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">32.46&#x2009;&#x00B1;&#x2009;0.61</td>
<td valign="top" align="center">33.94&#x2009;&#x00B1;&#x2009;0.61</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">CKMB (ng/ml)</td>
<td valign="top" align="center">1.12&#x2009;&#x00B1;&#x2009;0.04</td>
<td valign="top" align="center">1.06&#x2009;&#x00B1;&#x2009;0.04</td>
<td valign="top" align="center">0.349</td>
</tr>
<tr>
<td valign="top" align="left">cTnT (ng/L)</td>
<td valign="top" align="center">9.40&#x2009;&#x00B1;&#x2009;0.35</td>
<td valign="top" align="center">9.24&#x2009;&#x00B1;&#x2009;0.31</td>
<td valign="top" align="center">0.728</td>
</tr>
<tr>
<td valign="top" align="left">Myo (ng/ml)</td>
<td valign="top" align="center">27.27&#x2009;&#x00B1;&#x2009;0.79</td>
<td valign="top" align="center">28.12&#x2009;&#x00B1;&#x2009;1.39</td>
<td valign="top" align="center">0.596</td>
</tr>
<tr>
<td valign="top" align="left">BNP (pg/ml)</td>
<td valign="top" align="center">80.68&#x2009;&#x00B1;&#x2009;4.07</td>
<td valign="top" align="center">81.50&#x2009;&#x00B1;&#x2009;5.28</td>
<td valign="top" align="center">0.910</td>
</tr>
<tr>
<td valign="top" align="left">DD (mg/L FEU)</td>
<td valign="top" align="center">0.41&#x2009;&#x00B1;&#x2009;0.03</td>
<td valign="top" align="center">0.40&#x2009;&#x00B1;&#x2009;0.02</td>
<td valign="top" align="center">0.756</td>
</tr>
<tr>
<td valign="top" align="left">IgG (g/L)</td>
<td valign="top" align="center">19.27&#x2009;&#x00B1;&#x2009;1.73</td>
<td valign="top" align="center">26.16&#x2009;&#x00B1;&#x2009;2.15</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>011</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgM (g/L)</td>
<td valign="top" align="center">0.54&#x2009;&#x00B1;&#x2009;0.16</td>
<td valign="top" align="center">0.42&#x2009;&#x00B1;&#x2009;0.07</td>
<td valign="top" align="center">0.486</td>
</tr>
<tr>
<td valign="top" align="left">PCT (ng/ml)</td>
<td valign="top" align="center">0.06&#x2009;&#x00B1;&#x2009;0.005</td>
<td valign="top" align="center">0.058&#x2009;&#x00B1;&#x2009;0.003</td>
<td valign="top" align="center">0.270</td>
</tr>
<tr>
<td valign="top" align="left">IL6 (pg/ml)</td>
<td valign="top" align="center">12.27&#x2009;&#x00B1;&#x2009;0.36</td>
<td valign="top" align="center">11.78&#x2009;&#x00B1;&#x2009;0.37</td>
<td valign="top" align="center">0.337</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Reference values: CKMB: 0.30&#x2013;3.61&#x2005;ng/ml, Myo: 25&#x2013;58&#x2005;ng/ml, cTnT: 3&#x2013;14&#x2005;ng/L, BNP: 5&#x2013;125&#x2005;pg/ml, DD: 0.03&#x2013;0.55&#x2005;mg/L FEU, PCT: 0&#x2013;0.046&#x2005;ng/ml, IL6: 0&#x2013;7&#x2005;pg/ml.</p></fn>
<fn id="table-fn6"><p>Bold values statistically significant differences (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Proportion of subjects with elevated biomarkers for cardiac injury or thromboembolism by degree of disease severity, sex, and age.</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"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Asymptomatic (<italic>n</italic>&#x2009;&#x003D;&#x2009;589)</th>
<th valign="top" align="center">Mild (<italic>n</italic>&#x2009;&#x003D;&#x2009;549)</th>
<th valign="top" align="center">Male (<italic>n</italic>&#x2009;&#x003D;&#x2009;564)</th>
<th valign="top" align="center">Female (<italic>n</italic>&#x2009;&#x003D;&#x2009;574)</th>
<th valign="top" align="center">Year &#x2264;35 (<italic>n</italic>&#x2009;&#x003D;&#x2009;593)</th>
<th valign="top" align="center">Year &#x003E;35 (<italic>n</italic>&#x2009;&#x003D;&#x2009;545)</th>
<th valign="top" align="center">Total (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,138)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CKMB(&#x003E;3.61&#x2005;ng/ml)</td>
<td valign="top" align="center">2.21&#x0025; (13)</td>
<td valign="top" align="center">1.09&#x0025; (6)</td>
<td valign="top" align="center">1.95&#x0025; (11)</td>
<td valign="top" align="center">1.39&#x0025; (8)</td>
<td valign="top" align="center">1.52&#x0025; (9)</td>
<td valign="top" align="center">1.83&#x0025; (10)</td>
<td valign="top" align="center">1.83&#x0025; (19)</td>
</tr>
<tr>
<td valign="top" align="left">cTnT (&#x003E;14&#x2005;ng/L)</td>
<td valign="top" align="center">12.73&#x0025; (75)</td>
<td valign="top" align="center">13.11&#x0025; (72)</td>
<td valign="top" align="center">14.01&#x0025; (79)</td>
<td valign="top" align="center">11.85&#x0025; (68)</td>
<td valign="top" align="center">11.47&#x0025; (68)</td>
<td valign="top" align="center">14.50&#x0025; (79)</td>
<td valign="top" align="center">12.92&#x0025; (147)</td>
</tr>
<tr>
<td valign="top" align="left">Myo (&#x003E;58&#x2005;ng/ml)</td>
<td valign="top" align="center">3.23&#x0025; (19)</td>
<td valign="top" align="center">2.73&#x0025; (15)</td>
<td valign="top" align="center">4.96&#x0025; (28)</td>
<td valign="top" align="center">1.05&#x0025; (6)&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">2.36&#x0025; (14)</td>
<td valign="top" align="center">3.67&#x0025; (20)</td>
<td valign="top" align="center">2.99&#x0025; (34)</td>
</tr>
<tr>
<td valign="top" align="left">BNP (125&#x2013;400&#x2005;pg/ml)</td>
<td valign="top" align="center">16.64&#x0025; (98)</td>
<td valign="top" align="center">14.57&#x0025; (80)</td>
<td valign="top" align="center">11.88&#x0025; (67)</td>
<td valign="top" align="center">19.34&#x0025; (111)&#x002A;&#x002A;</td>
<td valign="top" align="center">11.64&#x0025; (69)</td>
<td valign="top" align="center">20.00&#x0025; (109)<sup>&#x0023;&#x0023;&#x0023;</sup></td>
<td valign="top" align="center">15.64&#x0025; (178)</td>
</tr>
<tr>
<td valign="top" align="left">BNP (&#x003E;400&#x2005;pg/ml)</td>
<td valign="top" align="center">1.70&#x0025; (10)</td>
<td valign="top" align="center">2.37&#x0025; (13)</td>
<td valign="top" align="center">1.77&#x0025; (10)</td>
<td valign="top" align="center">2.26&#x0025; (13)</td>
<td valign="top" align="center">1.85&#x0025; (11)</td>
<td valign="top" align="center">2.20&#x0025; (12)</td>
<td valign="top" align="center">2.02&#x0025; (23)</td>
</tr>
<tr>
<td valign="top" align="left">DD (0.55&#x2013;1.10&#x2005;mg/L FEU)</td>
<td valign="top" align="center">15.11&#x0025; (89)</td>
<td valign="top" align="center">12.90&#x0025; (76)</td>
<td valign="top" align="center">9.22&#x0025; (52)</td>
<td valign="top" align="center">19.69&#x0025; (113)&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">15.18&#x0025; (90)</td>
<td valign="top" align="center">13.76&#x0025; (75)</td>
<td valign="top" align="center">14.50&#x0025; (165)</td>
</tr>
<tr>
<td valign="top" align="left">DD (&#x003E;1.10&#x2005;mg/L FEU)</td>
<td valign="top" align="center">5.60&#x0025; (33)</td>
<td valign="top" align="center">4.92&#x0025; (27)</td>
<td valign="top" align="center">4.26&#x0025; (24)</td>
<td valign="top" align="center">6.27&#x0025; (36)</td>
<td valign="top" align="center">5.56&#x0025; (33)</td>
<td valign="top" align="center">4.95&#x0025; (27)</td>
<td valign="top" align="center">5.27&#x0025; (60)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>Percentage values represent the percent of individuals with elevated levels of the respective biomarker (the absolute number of individuals).</p></fn>
<fn id="table-fn3"><p>Compare between different genders: &#x002A;&#x002A;<italic>P</italic>-values &#x003C;0.01; &#x002A;&#x002A;&#x002A;<italic>P</italic>-values &#x003C;0.001.</p></fn>
<fn id="table-fn4"><p>Compare between different ages: <sup>&#x0023;&#x0023;&#x0023;</sup><italic>P</italic>-values &#x003C;0.001.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A comparative analysis was conducted, examining symptom presentation, gender, and age (older than 35). The results indicated a significantly higher proportion of male patients with elevated Myo levels (4.96&#x0025;) compared to female patients (1.05&#x0025;) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). However, male patients exhibited significantly lower proportions of slight elevated BNP (125&#x2013;400) (11.88&#x0025;) and DD (0.55&#x2013;1.10) (9.22&#x0025;) compared to female patients (19.34&#x0025; and 19.69&#x0025;, respectively) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Notably, among patients older than 35, the proportion with slight elevated BNP (125&#x2013;400) (20.00&#x0025;) was significantly higher than in those younger than 35 (11.64&#x0025;) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Surprisingly, no significant association was found between the proportion of serum markers for cardiovascular system injury and the presence or absence of symptoms in patients categorized as asymptomatic and mild.</p>
<p>The data indicated that patients with elevated serum markers had a higher proportion of females, higher age, elevated IL6 and PCT levels, and lower IgG levels (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). Additionally, the abnormal group exhibited a relatively prolonged nucleic acid clearance time compared to normal patients. Further stratification based on the days for nucleic acid clearance resulted in two groups: those with negative nucleic acid within 14 days (459 patients) and those with negative nucleic acid after 14 days (679 patients). Patients with nucleic acid turning negative after 14 days displayed higher age, increased IL6 levels, elevated BNP and DD levels, and lower IgG levels (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Comparison of 652 COVID-19 patients vs. 486 COVID-19 patients with abnormal cardiovascular markers.</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">Variables</th>
<th valign="top" align="center">Normal group</th>
<th valign="top" align="center">Abnormal group</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cases, <italic>n</italic></td>
<td valign="top" align="center">652</td>
<td valign="top" align="center">486</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">349 (53.53&#x0025;)</td>
<td valign="top" align="center">215 (44.24&#x0025;)</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>002</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mild, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">319 (48.93&#x0025;)</td>
<td valign="top" align="center">230 (47.33&#x0025;)</td>
<td valign="top" align="center">0.593</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">32.22&#x2009;&#x00B1;&#x2009;0.51</td>
<td valign="top" align="center">34.44&#x2009;&#x00B1;&#x2009;0.76</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>011</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgG (g/L)</td>
<td valign="top" align="center">29.03&#x2009;&#x00B1;&#x2009;2.08</td>
<td valign="top" align="center">14.04&#x2009;&#x00B1;&#x2009;1.53</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgM (g/L)</td>
<td valign="top" align="center">0.59&#x2009;&#x00B1;&#x2009;0.15</td>
<td valign="top" align="center">0.34&#x2009;&#x00B1;&#x2009;0.04</td>
<td valign="top" align="center">0.153</td>
</tr>
<tr>
<td valign="top" align="left">PCT (ng/ml)</td>
<td valign="top" align="center">0.051&#x2009;&#x00B1;&#x2009;0.002</td>
<td valign="top" align="center">0.075&#x2009;&#x00B1;&#x2009;0.005</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">IL6 (pg/ml)</td>
<td valign="top" align="center">10.92&#x2009;&#x00B1;&#x2009;0.29</td>
<td valign="top" align="center">13.51&#x2009;&#x00B1;&#x2009;0.46</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Days for nucleic acid clearance</td>
<td valign="top" align="center">15.01&#x2009;&#x00B1;&#x2009;0.20</td>
<td valign="top" align="center">16.61&#x2009;&#x00B1;&#x2009;0.23</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>003</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn7"><p>Bold values statistically significant differences (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Characteristics differences of 1,138 COVID-19 patients between different groups dividing by the time of viral clearance.</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">Variables</th>
<th valign="top" align="center">Nucleic acid turned negative &#x2264;14 days</th>
<th valign="top" align="center">Nucleic acid turned negative &#x003E;14 days</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cases, <italic>n</italic></td>
<td valign="top" align="center">459</td>
<td valign="top" align="center">679</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">239 (52.07&#x0025;)</td>
<td valign="top" align="center">325 (47.86&#x0025;)</td>
<td valign="top" align="center">0.164</td>
</tr>
<tr>
<td valign="top" align="left">Mild, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">236 (51.42&#x0025;)</td>
<td valign="top" align="center">313 (46.10&#x0025;)</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">31.51&#x2009;&#x00B1;&#x2009;0.65</td>
<td valign="top" align="center">34.30&#x2009;&#x00B1;&#x2009;0.58</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>002</bold></td>
</tr>
<tr>
<td valign="top" align="left">CKMB (ng/ml)</td>
<td valign="top" align="center">1.13&#x2009;&#x00B1;&#x2009;0.045</td>
<td valign="top" align="center">1.07&#x2009;&#x00B1;&#x2009;0.033</td>
<td valign="top" align="center">0.261</td>
</tr>
<tr>
<td valign="top" align="left">cTnT (ng/L)</td>
<td valign="top" align="center">9.30&#x2009;&#x00B1;&#x2009;0.39</td>
<td valign="top" align="center">9.34&#x2009;&#x00B1;&#x2009;0.29</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">Myo (ng/ml)</td>
<td valign="top" align="center">27.41&#x2009;&#x00B1;&#x2009;0.95</td>
<td valign="top" align="center">27.86&#x2009;&#x00B1;&#x2009;1.14</td>
<td valign="top" align="center">0.782</td>
</tr>
<tr>
<td valign="top" align="left">BNP (pg/ml)</td>
<td valign="top" align="center">69.94&#x2009;&#x00B1;&#x2009;4.73</td>
<td valign="top" align="center">88.61&#x2009;&#x00B1;&#x2009;4.50</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>006</bold></td>
</tr>
<tr>
<td valign="top" align="left">DD (mg/L FEU)</td>
<td valign="top" align="center">0.35&#x2009;&#x00B1;&#x2009;0.016</td>
<td valign="top" align="center">0.44&#x2009;&#x00B1;&#x2009;0.031</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>015</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgG (g/L)</td>
<td valign="top" align="center">38.50&#x2009;&#x00B1;&#x2009;3.00</td>
<td valign="top" align="center">11.82&#x2009;&#x00B1;&#x2009;0.88</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgM (g/L)</td>
<td valign="top" align="center">0.67&#x2009;&#x00B1;&#x2009;0.21</td>
<td valign="top" align="center">0.35&#x2009;&#x00B1;&#x2009;0.04</td>
<td valign="top" align="center">0.070</td>
</tr>
<tr>
<td valign="top" align="left">PCT (ng/ml)</td>
<td valign="top" align="center">0.059&#x2009;&#x00B1;&#x2009;0.004</td>
<td valign="top" align="center">0.063&#x2009;&#x00B1;&#x2009;0.004</td>
<td valign="top" align="center">0.528</td>
</tr>
<tr>
<td valign="top" align="left">IL6 (pg/ml)</td>
<td valign="top" align="center">10.73&#x2009;&#x00B1;&#x2009;0.33</td>
<td valign="top" align="center">12.91&#x2009;&#x00B1;&#x2009;0.37</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn8"><p>Bold values statistically significant differences (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Subsequently, logistic regression analysis was performed to evaluate the risk associated with significant parameters in predicting abnormal elevation in serum markers for cardiovascular system injury. The study focused on identifying the primary factors influencing the occurrence of abnormal elevation. The results revealed that the OR (95&#x0025; CI) value of IgG was 0.99 (0.98&#x2013;1.00) (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). Additionally, increasing age, female gender, and higher levels of IL6 and PCT were identified as significant risk factors, with ORs (95&#x0025; CIs) of 1.02 (1.01&#x2013;1.03), 1.82 (1.40&#x2013;2.37), 1.03 (1.01&#x2013;1.04), and 237.95 (18.66&#x2013;3,034.98), respectively, all achieving statistical significance at <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001 (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>). Notably, PCT exhibited the strongest association (OR&#x2009;&#x003D;&#x2009;237.95) and emerged as the most impactful single risk factor for predicting abnormal elevation in serum markers for cardiovascular system injury (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).We further made multiple regression analysis to test the combined contribution of several factors, and found the model including age, gender and PCT appeared to be the most combined risk factor for predicting abnormal elevation in serum markers for cardiovascular system injury (OR (95&#x0025; CI)&#x2009;&#x003D;&#x2009;260.59 (34.23&#x2013;370.34), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Association of abnormal cardiovascular markers with demographics and inflammatory factors.</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">Variables</th>
<th valign="top" align="center">Regression coefficient</th>
<th valign="top" align="center">Wald value</th>
<th valign="top" align="center">OR (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (female)</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">19.79</td>
<td valign="top" align="center">1.82 (1.40&#x2013;2.37)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">15.39</td>
<td valign="top" align="center">1.02 (1.01&#x2013;1.03)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">IgG</td>
<td valign="top" align="center">&#x2212;0.01</td>
<td valign="top" align="center">15.18</td>
<td valign="top" align="center">0.99 (0.98&#x2013;1.00)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">PCT</td>
<td valign="top" align="center">6.50</td>
<td valign="top" align="center">18.40</td>
<td valign="top" align="center">237.95 (18.66&#x2013;3,034.98)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">IL6</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">11.62</td>
<td valign="top" align="center">1.03 (1.01&#x2013;1.04)</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Gender&#x2009;&#x002B;&#x2009;Age</td>
<td valign="top" align="center">4.17</td>
<td valign="top" align="center">16.15</td>
<td valign="top" align="center">64.86 (8.48&#x2013;496.27)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Gender&#x2009;&#x002B;&#x2009;Age&#x2009;&#x002B;&#x2009;PCT</td>
<td valign="top" align="center">4.72</td>
<td valign="top" align="center">60.46</td>
<td valign="top" align="center">260.59 (34.23&#x2013;370.34)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Gender&#x2009;&#x002B;&#x2009;Age&#x2009;&#x002B;&#x2009;PCT&#x2009;&#x002B;&#x2009;IL6</td>
<td valign="top" align="center">4.60</td>
<td valign="top" align="center">72.66</td>
<td valign="top" align="center">125.25 (33.48&#x2013;285.67)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Gender&#x2009;&#x002B;&#x2009;Age&#x2009;&#x002B;&#x2009;IgG&#x2009;&#x002B;&#x2009;PCT&#x2009;&#x002B;&#x2009;IL6</td>
<td valign="top" align="center">4.84</td>
<td valign="top" align="center">87.37</td>
<td valign="top" align="center">124.01 (45.92&#x2013;349.90)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold><bold>.</bold><bold>001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn9"><p>Bold values statistically significant differences (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>In the current study, we found that during the early stages of Omicron infection, a small percentage of individuals with asymptomatic or mild COVID-19 by the Omicron variant have elevated biomarkers for cardiac and thromboembolic disease. These biomarkers demonstrated a positive correlation with age, female gender, elevated inflammatory factors (PCT and IL-6), and a negative correlation with IgG antibody titers. Notably, high levels of PCT emerged as the most prominent risk factor for the abnormal elevation of serum markers suggestive of cardiovascular system injury. Our data implied that even among asymptomatic or mild Omicron-infected individuals, there may exist a potential risk of subclinical injury in cardiovascular system.</p>
<p>In our results, elevated serum markers (cTnT, BNP, and DD) demonstrated a positive correlation with age, female gender, and levels of inflammatory factors (PCT and IL6), and a negative correlation with IgG antibody levels. Cardiac markers (CKMB, cTnT, and Myo) are crucial in diagnosing and risk stratifying acute myocardial infarction, it was noteworthy that approximately 2&#x0025; of patients exhibited elevated levels of CKMB and Myo. This finding suggested that myocardial tissue inflammation may occur in asymptomatic or mild cases, albeit relatively infrequently. It led to speculation that, during the initial invasion of the COVID-19 virus into the human body, it targetted myocardial cells, resulting in an increase in myocardial enzyme levels. Compared to cTnT, CKMB and Myo rise earlier in myocardial injury but had a shorter half-life and lower specificity. The levels of CK-MB and Myo might had already returned to normal by the time patients were admitted for testing. Notably, a relatively high proportion of patients with elevated cTnT levels was observed, accounting for 12.92&#x0025;, which was close to 12&#x0025; of COVID-19 patients in Wuhan experienced acute heart injuries (<xref ref-type="bibr" rid="B14">14</xref>). Among these markers, cTnT was the most specific marker that appears after acute myocardial inflammation or infarction (<xref ref-type="bibr" rid="B15">15</xref>). Our results indicated that the Omicron strain did cause subclinical injury to the heart, and even during the early stage of Omicron infection, the viral impact on myocardial tissue was not negligible. Additionally, other studies found that after COVID-19 infection, the levels of hs-TnI, sST-2 and VCAM-1 were closely correlated with major cardiovascular event and mortality (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), which further emphasized clinical significance of abnormally elevated troponin in patients with primary infection.</p>
<p>BNP levels were independent of other clinical factors, rendering it a valuable indicator of cardiac risk, particularly for heart failure (<xref ref-type="bibr" rid="B18">18</xref>). DD, a fibrin degradation product resulting from thrombus fibrinolysis, had previously been associated with an increased risk of venous thromboembolism (VTE). Previous studies indicated that cTnT, BNP, and DD levels rise as a late manifestation in severe COVID-19, with markedly elevated levels linked to significant in-hospital mortality (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). In this study, the majority patients showed slight elevations in BNP and DD. Additionally, a small percentage of patients with BNP greater than 400 or DD levels exceeding 1.10 are identified as &#x201C;high risk of heart failure, it still need sufficient clinical attention (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>)&#x201D;.</p>
<p>In terms of gender differences, we noted a significantly higher proportion of male patients with elevated Myo levels compared to female patients. This discrepancy may be attributed to higher androgen levels and increased muscle mass in men, resulting in elevated myoglobin levels (<xref ref-type="bibr" rid="B22">22</xref>). Contrary to previous reports (<xref ref-type="bibr" rid="B23">23</xref>), our findings regarding BNP and DD differed. Cheng et al. reported higher levels of DD and BNP in men with mild or critically ill COVID-19, while our study indicated significantly lower proportions in male patients. These variations might be linked to the severity of COVID-19 infection and the prevalence of comorbidities, which were more common in males. Excluding comorbidities, our study suggested that BNP and DD were more likely to exhibit slight increases in females in the early stages of Omicron infection. We speculated that higher estrogen levels in women enhanced ACE2 activity and expression, potentially leading to a mild reactive increase in BNP and DD shortly after Omicron infection (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>A previous study demonstrated that men aged 54 or older with SARS-CoV-2 infection and mild to moderate COVID-19 exhibited significantly increased troponin levels early after infection (<xref ref-type="bibr" rid="B25">25</xref>). Our study results showed that patients older than 35 years had a higher proportion of abnormally elevated BNP, with no significant difference in abnormal cTnT proportions across different age groups. However, there was no significant association between the proportion of abnormal increased serum markers for the cardiovascular system injury and the presentation of patient symptoms (asymptomatic or mild). This suggested that the degree of abnormal increased serum markers for the cardiovascular system caused by the virus might not be significantly linked to cardiovascular symptoms. Reports of sudden cardiac death following uneventful COVID-19 raise concerns about potential enduring myocardial damage (<xref ref-type="bibr" rid="B26">26</xref>). This was supported by the detection of persistent SARS-CoV-2 RNA in various organs, including the heart (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Our results contributed additional insights by highlighting gender and age differences. These differences suggested that there may exist subclinical cardiovascular system injury, degree of elevation of clinical serum markers varied depending on gender and age. Furthermore the influence in COVID-19 infection might extend to non-cardiac entities such as pulmonary hypertension due to acute pulmonary embolism (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>In cases of moderate or severe COVID-19, cardiac injury and thromboembolic events were common occurrence, which was likely a result of a combination of cytokine release, inflammation, and viral damage (<xref ref-type="bibr" rid="B30">30</xref>). Among the five indicators examined in our study, CKMB, Myo and cTnT are directly associated with myocardial damage, BNP is linked to heart failure, and DD is correlated with cardiovascular thrombotic events. Our results revealed that patients with abnormal combination of indicators (CKMB, cTnT, Myo, BNP, and DD) exhibited significantly lower levels of IgG and higher levels of inflammatory factors (IL6 and PCT). The positive association between cardiac biomarkers and PCT and IL-6 represents tissue damage caused by an excessive inflammatory reaction (<xref ref-type="bibr" rid="B31">31</xref>). Contrastingly, IgG antibodies might provide protection to organs by neutralizing a portion of the virus, binding to the viral S-protein, and interfering with its interaction with the ACE2 receptor (<xref ref-type="bibr" rid="B32">32</xref>). Our findings aligned with this, indicating that normal patients exhibit higher serum IgG levels.</p>
<p>Previous studies had linked PCT, the precursor of the hormone calcitonin, with the severity of COVID-19 (<xref ref-type="bibr" rid="B33">33</xref>). Notably, an increasing number of researchers advocated for PCT testing in patients with cardiovascular diseases, including those with shortness of breath, possible heart failure, suspected endocarditis, and acute coronary syndrome (<xref ref-type="bibr" rid="B34">34</xref>). Our results suggested that elevated PCT levels in early-stage Omicron infection patients were associated with an abnormal increased serum markers for the cardiovascular system most significantly. Another noteworthy observation was that patients with abnormal indicators required a longer time for viral RNA clearance, resulting in an overall extension of the infection duration, patients with clearance times exceeding 14 days exhibited significantly elevated levels of BNP and DD. This implied that patients with abnormal increased serum markers for the cardiovascular system might experience a longer period of Omicron infection.</p>
<p>To the best of our knowledge, this study is the first to analyze five serum markers for cardiovascular system injury (CK-MB, cTnT, Myo, BNP, and DD) in the early stages of Omicron infection. Nevertheless, there are several limitations to this study. Firstly, it is a retrospective study conducted in a single medical center. Secondly, due to the challenges associated with emergency measurements, data such as the presence of underlying diseases were self-reported, potentially introducing recall biases. Thirdly, the study is limited by the availability of relevant research, and our focus is solely on specific markers, with all serum samples collected in the early stages of hospitalization. Lastly, there is no follow-up of patients about cardiac testing or echocardiogram to assess cardiovascular function. Future studies should conduct a comprehensive analysis of additional test results, and long-term follow-up studies on Omicron patients to explore the specific impacts on the cardiovascular system.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Our findings suggested that even among asymptomatic or mild patients with Omicron infection, there might be an occurrence of abnormally elevated levels of cardiovascular indicators, signifying a certain degree of risk for subclinical cardiovascular damage. The abnormal cardiovascular markers were strongly associated with increased PCT levels. Female gender and age over 35 years old were also identified as contributing risk factors. We believed that this knowledge will play a crucial role in developing early intervention strategies to effectively address these risks.</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 Medical Ethics Committee of Tianjin First Central Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>XC: Data curation, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. Y-LX: Data curation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. J-yY: Data curation, Formal Analysis, Methodology, Writing &#x2013; review &#x0026; editing. Z-lL: Data curation, Formal Analysis, Methodology, Writing &#x2013; review &#x0026; editing. D-dZ: Data curation, Formal Analysis, Validation, Writing &#x2013; review &#x0026; editing. Y-yY: Data curation, Formal Analysis, Validation, Writing &#x2013; review &#x0026; editing. T-nL: Data curation, Software, Writing &#x2013; review &#x0026; editing. C-lZ: Data curation, Funding acquisition, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HM: Data curation, Funding acquisition, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Tianjin Key Medical Discipline (Specialty) Construction Project (No. TJYXZDXK-015A) and Tianjin Key Science and Technology Project of Tianjin Science and Technology Bureau (21ZXJBSY00040).</p>
</sec>
<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>
</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>
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