<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1597427</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of inflammatory index with the severity of disease in patients with acute myocarditis: A retrospective observational study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Shipeng</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1547562/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xu</surname>
<given-names>Hanchi</given-names>
</name>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2585724/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Zhen</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2925720/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Yulin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Xia</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2200576/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chu</surname>
<given-names>Haoxuan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2585743/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Yushi</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1551506/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Cardiovascular Medicine, The First Hospital of Jilin University</institution>, <addr-line>Changchun</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/46470/overview">Gaetano Santulli</ext-link>, Albert Einstein College of Medicine, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1305989/overview">Nicolas Padilla-Raygoza</ext-link>, Institute of Public Health of the State of Guanajuato (ISAPEG), Mexico</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2609693/overview">Haisheng Zhang</ext-link>, University of East-West Medicine, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yushi Wang, <email xlink:href="mailto:yushi@jlu.edu.cn">yushi@jlu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1597427</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wang, Xu, Guo, Tian, Guo, Chu and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Xu, Guo, Tian, Guo, Chu and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>This research aimed to investigate the association between neutrophil-percentage-to-albumin ratio (NPAR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI) with disease severity in patients diagnosed with acute myocarditis.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 185 patients were diagnosed with acute myocarditis at the First Hospital of Jilin University between 2018 and 2024. The related values of NPAR, SII, SIRI, and AISI were computed based on the pertinent blood indices that were acquired within 12 hours of admission. The best cut-off values for NPAR, SII, SIRI, and AISI, as well as their associated sensitivity and specificity, were determined using ROC curve analysis in order to assess their predictive usefulness for poor prognosis upon admission.</p>
</sec>
<sec>
<title>Results</title>
<p>Patients with fulminant myocarditis exhibited significantly higher NPAR, SII, SIRI, and AISI values compared to those with mild myocarditis. Spearman correlation analysis revealed significant associations between these inflammatory indices and NYHA scores at admission (r = 0.370, 0.296, 0.284, and 0.246, respectively; <italic>P</italic> &lt; 0.01). Multivariate logistic regression analysis identified high NPAR (OR: 5.44 95%, CI:1.81 ~ 16.36, <italic>P=</italic>0.003), SII (OR: 1.01 95%CI:1.01 ~ 1.01, <italic>P=</italic>0.010), SIRI (OR: 1.21, 95%CI:1.06 ~ 1.37, <italic>P=</italic>0.005), and AISI (OR: 1.01 95%CI:1.01 ~ 1.01, <italic>P=</italic>0.007) values as independent risk factors for myocarditis severity.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our study demonstrated that inflammatory biomarkers - NPAR, SII, SIRI, and AISI - show associations with the severity of acute myocarditis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>systemic inflammatory index</kwd>
<kwd>systemic immune-inflammation index</kwd>
<kwd>acute myocarditis</kwd>
<kwd>NPAR</kwd>
<kwd>SII</kwd>
<kwd>SIRI</kwd>
<kwd>AISI</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="8"/>
<word-count count="3274"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cardiovascular Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Acute myocarditis represents an inflammatory cardiomyopathy marked by immune-mediated myocardial damage triggered by diverse etiologies including viral infections, autoimmune disorders, toxic exposures, and pharmacological agents. Clinical outcomes range from spontaneous resolution to progression toward dilated cardiomyopathy or sudden cardiac death (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Among the adolescent population, it has become the main cause of sudden cardiac death, surpassing the incidence of ischemic heart disease. Current epidemiological data indicate that the incidence of acute myocarditis is 10 to 22 per 100,000 and is on the rise (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The clinical manifestations of myocarditis are heterogeneous, ranging from mild symptoms such as chest pain and palpitations to life-threatening cardiogenic shock and ventricular arrhythmias. There exists a critical need for validated prognostic biomarkers to facilitate early risk stratification and guide therapeutic interventions in this heterogeneous patient population.</p>
<p>Pathological manifestations of myocarditis include myocyte necrosis, fibrosis, and edema, driven by innate and adaptive immune responses (<xref ref-type="bibr" rid="B5">5</xref>). While the exact pathogenic mechanisms remain elusive, contemporary research highlights neutrophils as key mediators of myocardial injury in acute myocarditis (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Clinical studies demonstrate that elevated neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) correlate with prolonged hospitalization in myocarditis patients (<xref ref-type="bibr" rid="B8">8</xref>). The neutrophil percentage-to-albumin ratio (NPAR) synergistically combines acute-phase (neutrophils) and chronic-phase (albumin) inflammatory markers, offering a more integrated evaluation of inflammatory status (<xref ref-type="bibr" rid="B9">9</xref>). Systemic Immune Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) as sensitive indicators of inflammatory immune homeostasis, show strong prognostic value in various inflammatory diseases (<xref ref-type="bibr" rid="B10">10</xref>). Among acute coronary syndrome patients receiving percutaneous coronary intervention (PCI), both SIRI and aggregate index of systemic inflammation (AISI) independently predict major adverse cardiovascular events (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>These integrated inflammatory indices provide a clinically feasible and methodologically robust framework for risk stratification. When incorporated with conventional clinical parameters, they enable the development of multidimensional prediction algorithms that optimize both prognostic accuracy and therapeutic decision-making. This study specifically aims to validate the clinical utility of four novel inflammatory indices (NPAR, SII, SIRI, and AISI) for early severity assessment in acute myocarditis patients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>This retrospective analysis included 185 consecutive adults (aged &#x2265;18 years) diagnosed with acute myocarditis at the First Hospital of Jilin University (January 2018 - December 2024). Exclusion criteria comprised: (1) active malignancy; (2) autoimmune disorders; (3) concurrent systemic inflammation; (4) incomplete clinical documentation.</p>
</sec>
<sec id="s2_2">
<title>Definitions</title>
<p>Acute myocarditis is currently diagnosed by meeting the following criteria: (1) Coronary computed tomography angiography (CTA) or angiography excludes acute coronary syndrome; (2)elevated troponin levels, (3) echocardiographic evidence of ventricular dysfunction without underlying structural heart defects, (4) prodromal illnesses (respiratory or gastrointestinal) within 2 weeks of symptom onset, (5) electrocardiogram changes suggesting acute myocardial injury or arrhythmias, and (6) signs and symptoms of acute heart failure (dyspnea, reduced exercise tolerance, syncope, exertional chest pain, tachypnea, unexplained tachycardia, hepatomegaly, and galloping rhythm).</p>
<p>The presence of significant hemodynamic impairment necessitating the use of positive inotropic medications or ventricular support devices, such as extracorporeal membrane oxygenation (ECMO), left ventricular assist devices, or intra-aortic balloon pumps, is identified as fulminant acute myocarditis (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2_3">
<title>Clinical and laboratory data</title>
<p>Demographic data such as gender, age, vital signs, laboratory results, comorbidities, medication use, management of patients in the Cardiovascular Intensive Care Unit (CICU), electrocardiogram (ECG) and echocardiogram (echo) results, and complications were all routinely evaluated for each participant. Brain natriuretic peptide precursor (BNP) levels, serum troponin, albumin (ALB), C-reactive protein (CRP), neutrophils (N), lymphocytes (L), platelets (PLT), and monocytes (M). The inflammation index and its calculation method are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Inflammation index and its calculation method.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Inflammatory index</th>
<th valign="middle" align="center">Calculation formula</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">NPAR</td>
<td valign="middle" align="center">N/WBC&#xd7;100/ALB</td>
</tr>
<tr>
<td valign="middle" align="center">SII</td>
<td valign="middle" align="center">PLT &#xd7; [N/L]</td>
</tr>
<tr>
<td valign="middle" align="center">SIRI</td>
<td valign="middle" align="center">N &#xd7; [M/L]</td>
</tr>
<tr>
<td valign="middle" align="center">AISI</td>
<td valign="middle" align="center">[N&#xd7;M&#xd7;PLT]/L)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>We utilized logistic regression analysis to examine the associations between NPAR, SII, SIRI and AISI, and the fulminant myocarditis. Multivariate regression analysis was adjusted for potential confounding factors found to be significant in univariate regression, including age (in years), sex, smoking and drinking status, laboratory data(EF%, cTnI, BNP and CRP) and comorbid conditions (DM, hypertension and history of CVD). Associations between NPAR,SII, SIRI, AISI and myocarditis were evaluated further by checking the diagnostic performance of NPAR, SII, SIRI, AISI for the severity of myocarditis by using the area under the receiver operating characteristics (AUROC). The optimal ROC cut-off point was determined by using the Youden index. All statistical analyses were performed using the Statistical Package for the Social Sciences 25.0 (SPSS; IBM, USA), with a two-tailed <italic>P</italic> &lt; 0.05 considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Result</title>
<p>The baseline clinical characteristics of the total cohort (N=183) are detailed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. The majority of myocarditis patients are men, however fulminant myocarditis is more common in women. Compared to the mild myocarditis group, the fulminant myocarditis group had higher age, NYHA scores, Neutrophil, cardiac troponin I (cTnI), CK-MB, BNP, CRP, lactic acid (Lac), aspartate aminotransferase (AST), alanine aminotransferase (ALT), serum creatinine (sCr), NPAR, SII, SIRI and AISI. But lower heart rate, ejection fraction, blood pressure, lymphocyte counts, Monocytes counts (all <italic>P</italic> &lt; 0.05).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Demographics and clinical characteristics of acute myocarditis patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">Total (n = 183)</th>
<th valign="middle" align="center">Fulminant myocarditis (n = 34)</th>
<th valign="middle" align="center">Mild myocarditis (n = 149)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="center">
<bold>30.00 (21.00, 39.00)</bold>
</td>
<td valign="middle" align="center">
<bold>37.50 (24.25, 46.50)</bold>
</td>
<td valign="middle" align="center">
<bold>29.00 (20.00, 39.00)</bold>
</td>
<td valign="middle" align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Gender, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">men</td>
<td valign="middle" align="center">
<bold>114 (62.30)</bold>
</td>
<td valign="middle" align="center">
<bold>10 (29.41)</bold>
</td>
<td valign="middle" align="center">
<bold>104 (69.80)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">female</td>
<td valign="middle" align="center">
<bold>69 (37.70)</bold>
</td>
<td valign="middle" align="center">
<bold>24 (70.59)</bold>
</td>
<td valign="middle" align="center">
<bold>45 (30.20)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">HR</td>
<td valign="middle" align="center">80.00 (74.00, 92.00)</td>
<td valign="middle" align="center">78.00 (69.25, 111.50)</td>
<td valign="middle" align="center">80.00 (75.00, 90.00)</td>
<td valign="middle" align="center">0.860</td>
</tr>
<tr>
<td valign="middle" align="left">SBP (mmHg)</td>
<td valign="middle" align="center">
<bold>120.00 (108.50, 125.00)</bold>
</td>
<td valign="middle" align="center">
<bold>109.00 (90.75, 120.00)</bold>
</td>
<td valign="middle" align="center">
<bold>120.00 (111.00, 128.00)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">DBP (mmHg)</td>
<td valign="middle" align="center">
<bold>75.00 (64.00, 80.00)</bold>
</td>
<td valign="middle" align="center">
<bold>68.50 (60.00, 75.00)</bold>
</td>
<td valign="middle" align="center">
<bold>75.00 (65.00, 80.00)</bold>
</td>
<td valign="middle" align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Smoking, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">
<bold>0.008</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">Now</td>
<td valign="middle" align="center">
<bold>35 (19.13)</bold>
</td>
<td valign="middle" align="center">
<bold>1 (2.94)</bold>
</td>
<td valign="middle" align="center">
<bold>34 (22.82)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Never/Former</td>
<td valign="middle" align="center">
<bold>148 (80.87)</bold>
</td>
<td valign="middle" align="center">
<bold>33 (97.06)</bold>
</td>
<td valign="middle" align="center">
<bold>115 (77.18)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Drinking, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Now</td>
<td valign="middle" align="center">22 (12.02)</td>
<td valign="middle" align="center">4 (11.76)</td>
<td valign="middle" align="center">18 (12.08)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Never/Former</td>
<td valign="middle" align="center">161 (87.98)</td>
<td valign="middle" align="center">30 (88.24)</td>
<td valign="middle" align="center">131 (87.92)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Hypertension, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">9 (4.92)</td>
<td valign="middle" align="center">2 (5.88)</td>
<td valign="middle" align="center">7 (4.70)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">174 (95.08)</td>
<td valign="middle" align="center">32 (94.12)</td>
<td valign="middle" align="center">142 (95.30)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Diabetes, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.453</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">3 (1.65)</td>
<td valign="middle" align="center">1 (3.03)</td>
<td valign="middle" align="center">2 (1.34)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">179 (98.35)</td>
<td valign="middle" align="center">32 (96.97)</td>
<td valign="middle" align="center">147 (98.66)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Coronary Heart Disease, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">3 (1.64)</td>
<td valign="middle" align="center">0 (0.00)</td>
<td valign="middle" align="center">3 (2.01)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">180 (98.36)</td>
<td valign="middle" align="center">34 (100.00)</td>
<td valign="middle" align="center">146 (97.99)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">NYHA, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" align="center">
<bold>54 (29.67)</bold>
</td>
<td valign="middle" align="center">
<bold>1 (2.94)</bold>
</td>
<td valign="middle" align="center">
<bold>53 (35.81)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">II</td>
<td valign="middle" align="center">
<bold>72 (39.56)</bold>
</td>
<td valign="middle" align="center">
<bold>3 (8.82)</bold>
</td>
<td valign="middle" align="center">
<bold>69 (46.62)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">
<bold>23 (12.64)</bold>
</td>
<td valign="middle" align="center">
<bold>2 (5.88)</bold>
</td>
<td valign="middle" align="center">
<bold>21 (14.19)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">IV</td>
<td valign="middle" align="center">
<bold>33 (18.13)</bold>
</td>
<td valign="middle" align="center">
<bold>28 (82.35)</bold>
</td>
<td valign="middle" align="center">
<bold>5 (3.38)</bold>
</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">EF%</td>
<td valign="middle" align="center">
<bold>59.00 (51.00, 62.00)</bold>
</td>
<td valign="middle" align="center">
<bold>46.00 (35.00, 55.00)</bold>
</td>
<td valign="middle" align="center">
<bold>60.00 (56.50, 63.00)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">LVDD (mm)</td>
<td valign="middle" align="center">48.00 (46.00, 50.50)</td>
<td valign="middle" align="center">49.00 (46.00, 52.00)</td>
<td valign="middle" align="center">48.00 (46.00, 50.00)</td>
<td valign="middle" align="center">0.522</td>
</tr>
<tr>
<td valign="middle" align="left">Monocytes (10*9/L)</td>
<td valign="middle" align="center">0.59 (0.41, 0.85)</td>
<td valign="middle" align="center">0.58 (0.44, 0.89)</td>
<td valign="middle" align="center">0.60 (0.40, 0.84)</td>
<td valign="middle" align="center">0.564</td>
</tr>
<tr>
<td valign="middle" align="left">Neutrophil (10*9/L)</td>
<td valign="middle" align="center">
<bold>5.35 (3.95, 7.32)</bold>
</td>
<td valign="middle" align="center">
<bold>6.95 (5.22, 10.41)</bold>
</td>
<td valign="middle" align="center">
<bold>5.11 (3.73, 6.86)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Lymphocytes (10*9/L)</td>
<td valign="middle" align="center">
<bold>1.55 (1.09, 2.10)</bold>
</td>
<td valign="middle" align="center">
<bold>1.33 (0.69, 1.85)</bold>
</td>
<td valign="middle" align="center">
<bold>1.68 (1.14, 2.15)</bold>
</td>
<td valign="middle" align="center">
<bold>0.017</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">cTnI (ng/ml)</td>
<td valign="middle" align="center">
<bold>5.02 (0.68, 12.70)</bold>
</td>
<td valign="middle" align="center">
<bold>12.40 (9.71, 23.72)</bold>
</td>
<td valign="middle" align="center">
<bold>2.71 (0.40, 9.09)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">CK-MB (ng/ml)</td>
<td valign="middle" align="center">
<bold>17.60 (5.00, 45.00)</bold>
</td>
<td valign="middle" align="center">
<bold>45.00 (30.60, 60.65)</bold>
</td>
<td valign="middle" align="center">
<bold>12.45 (2.97, 36.48)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">BNP (pg/ml)</td>
<td valign="middle" align="center">
<bold>92.30 (20.23, 452.75)</bold>
</td>
<td valign="middle" align="center">
<bold>702.00 (250.00, 1020.00)</bold>
</td>
<td valign="middle" align="center">
<bold>59.30 (16.50, 225.00)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Hb (g/L)</td>
<td valign="middle" align="center">
<bold>140.00 (126.00, 152.00)</bold>
</td>
<td valign="middle" align="center">
<bold>129.50 (114.25, 141.75)</bold>
</td>
<td valign="middle" align="center">
<bold>144.00 (128.00, 153.00)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">PLT (10*9/L)</td>
<td valign="middle" align="center">219.00 (176.00, 268.00)</td>
<td valign="middle" align="center">212.00 (169.25, 264.00)</td>
<td valign="middle" align="center">221.00 (178.00, 268.50)</td>
<td valign="middle" align="center">0.424</td>
</tr>
<tr>
<td valign="middle" align="left">CRP (mg/L)</td>
<td valign="middle" align="center">22.07 (8.44, 54.21)</td>
<td valign="middle" align="center">29.52 (14.37, 51.84)</td>
<td valign="middle" align="center">19.97 (5.97, 54.32)</td>
<td valign="middle" align="center">0.229</td>
</tr>
<tr>
<td valign="middle" align="left">Lac (mmol/L)</td>
<td valign="middle" align="center">
<bold>1.30 (0.90, 2.00)</bold>
</td>
<td valign="middle" align="center">
<bold>2.90 (1.50, 5.60)</bold>
</td>
<td valign="middle" align="center">
<bold>1.10 (0.83, 1.40)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">HCT</td>
<td valign="middle" align="center">
<bold>0.42 (0.38, 0.45)</bold>
</td>
<td valign="middle" align="center">
<bold>0.38 (0.35, 0.43)</bold>
</td>
<td valign="middle" align="center">
<bold>0.42 (0.39, 0.45)</bold>
</td>
<td valign="middle" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">ALB (g/L)</td>
<td valign="middle" align="center">
<bold>38.45 (35.10, 41.32)</bold>
</td>
<td valign="middle" align="center">
<bold>34.90 (31.30, 37.70)</bold>
</td>
<td valign="middle" align="center">
<bold>39.30 (36.25, 42.00)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">AST (U/L)</td>
<td valign="middle" align="center">
<bold>59.35 (31.40, 120.47)</bold>
</td>
<td valign="middle" align="center">
<bold>192.60 (80.00, 669.70)</bold>
</td>
<td valign="middle" align="center">
<bold>45.70 (27.55, 89.40)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">ALT (U/L)</td>
<td valign="middle" align="center">
<bold>35.05 (22.17, 64.85)</bold>
</td>
<td valign="middle" align="center">
<bold>77.50 (53.30, 681.60)</bold>
</td>
<td valign="middle" align="center">
<bold>30.60 (21.15, 55.05)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">SCr (mmol/L)</td>
<td valign="middle" align="center">
<bold>64.20 (54.10, 74.70)</bold>
</td>
<td valign="middle" align="center">
<bold>77.50 (60.10, 115.70)</bold>
</td>
<td valign="middle" align="center">
<bold>63.70 (53.22, 70.42)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">NPAR</td>
<td valign="middle" align="center">
<bold>1.78 (1.50, 2.22)</bold>
</td>
<td valign="middle" align="center">
<bold>2.26 (1.82, 2.61)</bold>
</td>
<td valign="middle" align="center">
<bold>1.71 (1.45, 2.07)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">SII</td>
<td valign="middle" align="center">
<bold>732.00 (476.17, 1367.71)</bold>
</td>
<td valign="middle" align="center">
<bold>1263.60 (585.50, 2302.01)</bold>
</td>
<td valign="middle" align="center">
<bold>688.00 (441.37, 1043.72)</bold>
</td>
<td valign="middle" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">SIRI</td>
<td valign="middle" align="center">
<bold>2.12 (1.01, 4.28)</bold>
</td>
<td valign="middle" align="center">
<bold>3.41 (2.16, 6.12)</bold>
</td>
<td valign="middle" align="center">
<bold>1.76 (0.89, 3.62)</bold>
</td>
<td valign="middle" align="center">
<bold>&lt;.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">AISI</td>
<td valign="middle" align="center">
<bold>433.93 (242.83, 803.03)</bold>
</td>
<td valign="middle" align="center">
<bold>622.66 (424.41, 1127.78)</bold>
</td>
<td valign="middle" align="center">
<bold>385.34 (196.80, 774.05)</bold>
</td>
<td valign="middle" align="center">
<bold>0.003</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<p>For patients with myocarditis, Spearman correlation analysis showed significant relationships between the NYHA score at admission and the values of NPAR, SII, SIRI, and AISI (r = 0.370, 0.296, 0.284, and 0.246, <italic>P</italic> &lt; 0.01). Patients with worse cardiac function (NYHA score &gt; III) nonetheless had higher levels of NPAR, SII, SIRI and AISI than patients with comparatively better cardiac function (NYHA score &lt; II) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Disparities between admission NYHA scores and NPAR, SII, SIRI, and AISI levels:Compared with patients with NYHA I-II acute myocarditis, NPAR <bold>(A)</bold>, SIRI <bold>(B)</bold>, SII <bold>(C)</bold>, and AISI <bold>(D)</bold> levels in patients with NYHA III-IV acute myocarditis. *:P &lt; 0.05; **:P &lt; 0.01; ***:P &lt; 0.001; ****:P &lt; 0.0001</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597427-g001.tif">
<alt-text content-type="machine-generated">Box plots labeled A to D compare different indices (NPAR, SIRI, SII, AISI) for NYHA classes I-II and III-IV. Significant differences are noted: A (NPAR: ****), B (SIRI: **), C (SII: ***), D (AISI: *). Higher values occur in the NYHA III-IV group for all indices.</alt-text>
</graphic>
</fig>
<p>The differences in NPAR, SII, SIRI, and AISI between patients with mild acute myocarditis and those with fulminant myocarditis are compared in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The mild patient group had lower levels of NPAR, SII, SIRI, and AISI than the severe patient group (<italic>P</italic> &lt; 0.05).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The violin plot of composite inflammatory ratios:Compared with patients with mild acute myocarditis, the levels of NPAR <bold>(A)</bold>, SIRI <bold>(B)</bold>, SII <bold>(C)</bold>, and AISI <bold>(D)</bold> in patients with fulminant acute myocarditis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597427-g002.tif">
<alt-text content-type="machine-generated">Statistical violin plots illustrating differences in four markers between severe and mild groups. A: NPAR shows significant difference with p&lt;0.0001. B: SIRI significantly differs with p&lt;0.001. C: SII has a significant difference with p&lt;0.001. D: AISI shows a significant difference with p&lt;0.05. Severe group is represented in orange, mild group in blue.</alt-text>
</graphic>
</fig>
<p>With an AUC of 0.774 (95% CI 0.6854 - 0.8620, <italic>P</italic> &lt; 0.05), ROC analysis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) revealed that the critical value of NPAR was 1.753, indicating a sensitivity of 0.848 and a specificity of 0.560 for diagnosing acute myocarditis. The critical value of SII for discriminating mild from severe cases was 1169, with a sensitivity of 0.783 and a specificity of 0.529, and an AUC of 0.667 (95% CI 0.5599 - 0.7749; <italic>P</italic> &lt; 0.05). The cutoff value of SIRI was 2.058, with a sensitivity of 0.549 and a specificity of 0.852, and an AUC of 0.710 (95% CI 0.6201 - 0.8000, <italic>P</italic> &lt; 0.05). The threshold value of AISI was 446, with a sensitivity of 0.570 and a specificity of 0.735, with an AUC of 0.663 (95% CI 0.5677 - 0.7587, <italic>P</italic> &lt; 0.05).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The ROC value of composite inflammatory ratios in predicting severity of the patient&#x2019;s disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1597427-g003.tif">
<alt-text content-type="machine-generated">Receiver Operating Characteristic (ROC) curve illustrating the performance of inflammation markers: NPAR (AUC = 0.774), SII (AUC = 0.667), SIRI (AUC = 0.71), and AISI (AUC = 0.663). The y-axis represents sensitivity, and the x-axis represents the false positive rate. A diagonal line indicates random chance.</alt-text>
</graphic>
</fig>
<p>To investigate if higher NPAR, SII, SIRI, and AISI were independent risk markers for patients with fulminant myocarditis, variables with <italic>P</italic> &lt; 0.05 during the binary logarithmic analysis were included in the multivariate analysis (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). High NPAR (OR = 5.67, 95%CI: 1.81 ~ 16.36, <italic>P</italic> &lt; 0.05), SII (OR = 1.01, 95%CI: 1.01 ~ 1.01, <italic>P</italic> &lt; 0.05), SIRI(OR = 1.21 95%CI: 1.06 ~ 1.37, <italic>P</italic> &lt; 0.05), and AISI(OR = 1.01, 95%CI: 1.01 ~ 1.01, <italic>P</italic> &lt; 0.05) were found to be independently linked with the probability of fulminant myocarditis in multivariate logistic regression analysis.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate logistic analysis of complex inflammation ratio predicting fulminant myocarditis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="center">Variables</th>
<th valign="middle" colspan="2" align="center">Model1</th>
<th valign="middle" colspan="2" align="center">Model2</th>
<th valign="middle" colspan="2" align="center">Model3</th>
</tr>
<tr>
<th valign="middle" align="center">OR (95%CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">OR (95%CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
<th valign="middle" align="center">OR (95%CI)</th>
<th valign="middle" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">NPAR</td>
<td valign="middle" align="left">6.72 (2.82 ~ 16.01)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">6.07 (2.32 ~ 15.92)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">5.44 (1.81 ~ 16.36)</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<td valign="middle" align="center">SII</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.010</td>
</tr>
<tr>
<td valign="middle" align="center">SIRI</td>
<td valign="middle" align="left">1.15 (1.04 ~ 1.26)</td>
<td valign="middle" align="left">0.005</td>
<td valign="middle" align="left">1.18 (1.07 ~ 1.30)</td>
<td valign="middle" align="left">&lt;.001</td>
<td valign="middle" align="left">1.21 (1.06 ~ 1.37)</td>
<td valign="middle" align="left">0.005</td>
</tr>
<tr>
<td valign="middle" align="center">AISI</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.035</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left">1.01 (1.01 ~ 1.01)</td>
<td valign="middle" align="left">0.007</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model1: Crude.</p>
</fn>
<fn>
<p>Model2: Adjust: gender, age.</p>
</fn>
<fn>
<p>Model3: Adjust: Adjust: gender, age, smoking, drinking, hypertension, diabetes, coronary heart disease, EF%, cTnI.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Current diagnostic approaches for myocarditis remain nonspecific, primarily dependent on established clinical criteria rather than definitive biomarkers (<xref ref-type="bibr" rid="B13">13</xref>). Although the exact pathophysiological mechanisms remain incompletely understood, immune cells emerge as central orchestrators of myocardial inflammation. The inflammatory cascade in acute myocarditis involves coordinated actions of multiple immune lineages - neutrophils, monocytes, macrophages, and T/B lymphocytes (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Neutrophils, the most abundant circulating immune cells, serve as the first line of defense against pathogens and play a critical role in innate immune responses. Notably, their activity is amplified in acute myocarditis, exacerbating inflammatory cascades (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Experimental models demonstrate neutrophil chemotactic leadership, with these cells preceding monocyte infiltration and facilitating subsequent myeloid recruitment to inflamed myocardium (<xref ref-type="bibr" rid="B20">20</xref>). Treg cells play an important protective role in the occurrence of myocarditis (<xref ref-type="bibr" rid="B21">21</xref>). It was found that Treg cell abundance was negatively correlated with myocarditis severity (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Consistent with this paradigm, our cohort revealed marked lymphopenia in fulminant cases compared to moderate presentations, suggesting compromised immunoregulatory capacity. Oxidative stress plays an important role in the course of the disease in acute myocarditis, and serum albumin is the most abundant antioxidant in the whole blood (<xref ref-type="bibr" rid="B24">24</xref>). Albumin can combine lipopolysaccharides and other bacterial products (lipophosphomic acid and peptidoglycan), reactive oxygen species, nitric oxide and other nitrogen-reactive substances, and prostaglandins to regulate inflammation (<xref ref-type="bibr" rid="B25">25</xref>). Its levels fluctuate rapidly during acute inflammation due to extracellular metastasis (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, hypoalbuminemia plays an important role in the development and progress of cardiovascular diseases (<xref ref-type="bibr" rid="B27">27</xref>). Our results also demonstrate that patients with fulminant myocarditis have lower serum albumin levels than those with mild myocarditis.</p>
<p>A meta-analysis by Ghulam et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) identifies CRP as a dual-purpose biomarker for myocarditis diagnosis and outcome prediction. Emerging inflammatory indices combine practical advantages (cost-effectiveness, rapid assessment) with comprehensive immune-inflammation profiling, demonstrating independent prognostic value across multiple disease states (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Recent researches find novel inflammatory biomarkers as significant predictors of both disease onset and adverse outcomes in cardiovascular conditions including CAD and hypertension (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Cui et&#xa0;al. identified elevated NPAR at admission as an independent predictor of in-hospital mortality in ST-segment elevation myocardial infarction (STEMI) patients (<xref ref-type="bibr" rid="B35">35</xref>). Population-level research demonstrates significant associations between SII and SIRI with cardiovascular disease prevalence and all-cause mortality (<xref ref-type="bibr" rid="B36">36</xref>). Jiang et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>) revealed that elevated AISI levels in acute myocardial infarction (AMI) patients correlate with increased cardiovascular mortality risk, suggesting its utility as an early prognostic indicator. These findings collectively establish systemic inflammation biomarkers as critical tools for cardiovascular disease stratification and outcome prediction.</p>
<p>While NLR and MLR have established associations with myocarditis severity (<xref ref-type="bibr" rid="B8">8</xref>), the prognostic potential of novel composite inflammatory indices - NPAR, SII, SIRI, and AISI - remains underexplored. Nevertheless, research on compound inflammatory markers such NPAR, SII, SIRI, and AISI is lacking. This study provides the first analysis linking these advanced inflammatory indices to disease severity in acute myocarditis. Our findings reveal correlations between NPAR, SII, SIRI, and AISI levels with both cardiac dysfunction metrics and clinical severity stratification. Moreover, univariate and multivariate binary logistic regression results show that NPAR, SII, SIRI, and AISI are independently linked to patients&#x2019; risk of developing fulminant myocarditis. To our knowledge, this represents the inaugural investigation establishing NPAR, SII, SIRI, and AISI as clinically significant biomarkers for acute myocarditis severity assessment.</p>
<p>Our results indicate that elevated NPAR, SII, SIRI, and AISI levels at admission correlate with reduced cardiac function and heightened fulminant myocarditis risk. These indices may thus facilitate risk-stratified therapeutic strategies and serve as practical clinical tools for evaluating disease progression and potential complications.</p>
<sec id="s4_1">
<title>Strengths and limitations</title>
<p>There are several strengths and limitations in this study. To make sure the correlations are reliable and applicable to a wider range of people, we controlled for laboratory, examinational, and demographic factors. Secondly, even after controlling for a number of variables, residual or unmeasured confounding cannot be completely ruled out. Thirdly, our study did not consider treatment modalities, which may affect inflammatory indexes and the severity of myocarditis. Fourthly, the critical values obtained by ROC analysis for the diagnosis of explosive myocarditis were moderately sensitive and specific. Therefore, inflammation indicators can provide a certain reference for clinicians to evaluate the admission of acute myocarditis, but they still need to be comprehensively considered in combination with other indicators. Last but not least, this is a single-center retrospective analysis, rather than a multicenter clinical study, with a relatively small sample size. Therefore, prospective multicenter studies with a larger sample size are needed to validate these results.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In conclusion, we are the first investigation to apply NPAR, SII, SIRI, and AISI as clinically significant biomarkers for acute myocarditis severity stratification. NPAR, SII, SIRI, and AISI indicators will provide theoretical support for early intervention in patients with acute myocarditis. These findings provide reference for the implementation of risk-adapted treatment options and early targeted interventions that promote acute myocarditis management.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The First Hospital of Jilin University (Ethics Approval No. 2025-345). 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>SW: Conceptualization, Writing &#x2013; original draft. HX: Conceptualization, Writing &#x2013; original draft. ZG: Data curation, Writing &#x2013; original draft. YT: Writing &#x2013; original draft, Data curation. XG: Writing &#x2013; original draft, Validation. HC: Investigation, Software, Writing &#x2013; original draft. YW: Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, and/or publication of this article.</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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>AISI, aggregate index of systemic inflammation; ALB, albumin; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BNP, brain natriuretic peptide precursor; CICU, Cardiovascular Intensive Care Uni; CRP, C-reactive protein; cTnI, cardiac troponin I; CK-MB, Creatine Kinase-Myocardial Band; DBP, diastolic Blood Pressure; ECG, electrocardiogram; ECMO, extracorporeal membrane oxygenation; EF, ejection fraction; Hb, hemoglobin; HCT, hematocrit; HR, heart rate; L, lymphocytes; Lac, lactic acid; M, monocytes; MLR, monocyte-to-lymphocyte ratio; N, neutrophils; NLR, neutrophil-to-lymphocyte ratio; NPAR, neutrophil-percentage-to-albumin ratio; NYHA, New York Heart Association; PLT, platelets; ROC, receiver operating characteristic; SBP, systolic Blood Pressure; sCr, serum creatinine; SII, systemic immune-inflammation index; SIRI, systemic inflammation response index.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>K&#xfc;hl</surname> <given-names>U</given-names>
</name>
<name>
<surname>Schultheiss</surname> <given-names>HP</given-names>
</name>
</person-group>. <article-title>Viral myocarditis: diagnosis, aetiology and management</article-title>. <source>Drugs</source>. (<year>2009</year>) <volume>69</volume>:<page-range>1287&#x2013;302</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2165/00003495-200969100-00001</pub-id>, PMID: <pub-id pub-id-type="pmid">19583449</pub-id></citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heymans</surname> <given-names>S</given-names>
</name>
<name>
<surname>Eriksson</surname> <given-names>U</given-names>
</name>
<name>
<surname>Lehtonen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cooper</surname> <given-names>LT</given-names>
<suffix>Jr.</suffix>
</name>
</person-group> <article-title>The quest for new approaches in myocarditis and inflammatory cardiomyopathy</article-title>. <source>J Am Coll Cardiol</source>. (<year>2016</year>) <volume>68</volume>:<page-range>2348&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jacc.2016.09.937</pub-id>, PMID: <pub-id pub-id-type="pmid">27884253</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trachtenberg</surname> <given-names>BH</given-names>
</name>
<name>
<surname>Hare</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Inflammatory cardiomyopathic syndromes</article-title>. <source>Circ Res</source>. (<year>2017</year>) <volume>121</volume>:<page-range>803&#x2013;18</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/CIRCRESAHA.117.310221</pub-id>, PMID: <pub-id pub-id-type="pmid">28912184</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vos</surname> <given-names>T</given-names>
</name>
<name>
<surname>Barber</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Bell</surname> <given-names>B</given-names>
</name>
<name>
<surname>Bertozzi-Villa</surname> <given-names>A</given-names>
</name>
<name>
<surname>Biryukov</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bolliger</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013</article-title>. <source>Lancet (London England)</source>. (<year>2015</year>) <volume>386</volume>:<fpage>743</fpage>&#x2013;<lpage>800</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(15)60692-4</pub-id>, PMID: <pub-id pub-id-type="pmid">26063472</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hua</surname> <given-names>X</given-names>
</name>
<name>
<surname>Song</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Immune cell diversity contributes to the pathogenesis of myocarditis</article-title>. <source>Heart failure Rev</source>. (<year>2019</year>) <volume>24</volume>:<page-range>1019&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10741-019-09799-w</pub-id>, PMID: <pub-id pub-id-type="pmid">31049750</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carai</surname> <given-names>P</given-names>
</name>
<name>
<surname>Gonz&#xe1;lez</surname> <given-names>LF</given-names>
</name>
<name>
<surname>Van Bruggen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Spalart</surname> <given-names>V</given-names>
</name>
<name>
<surname>De Giorgio</surname> <given-names>D</given-names>
</name>
<name>
<surname>Geuens</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil inhibition improves acute inflammation in a murine model of viral myocarditis</article-title>. <source>Cardiovasc Res</source>. (<year>2023</year>) <volume>118</volume>:<page-range>3331&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cvr/cvac052</pub-id>, PMID: <pub-id pub-id-type="pmid">35426438</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weckbach</surname> <given-names>LT</given-names>
</name>
<name>
<surname>Grabmaier</surname> <given-names>U</given-names>
</name>
<name>
<surname>Uhl</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gess</surname> <given-names>S</given-names>
</name>
<name>
<surname>Boehm</surname> <given-names>F</given-names>
</name>
<name>
<surname>Zehrer</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Midkine drives cardiac inflammation by promoting neutrophil trafficking and NETosis in myocarditis</article-title>. <source>J Exp Med</source>. (<year>2019</year>) <volume>216</volume>:<page-range>350&#x2013;68</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1084/jem.20181102</pub-id>, PMID: <pub-id pub-id-type="pmid">30647120</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mirna</surname> <given-names>M</given-names>
</name>
<name>
<surname>Schmutzler</surname> <given-names>L</given-names>
</name>
<name>
<surname>Topf</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hoppe</surname> <given-names>UC</given-names>
</name>
<name>
<surname>Lichtenauer</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Neutrophil-to-lymphocyte ratio and monocyte-to-lymphocyte ratio predict length of hospital stay in myocarditis</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>18101</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-021-97678-6</pub-id>, PMID: <pub-id pub-id-type="pmid">34518607</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Association of Neutrophil-Percentage-To-Albumin Ratio(NPAR) with depression symptoms in U.S. adults: a NHANES study from 2011 to 2018</article-title>. <source>BMC Psychiatry</source>. (<year>2024</year>) <volume>24</volume>:<fpage>746</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12888-024-06178-0</pub-id>, PMID: <pub-id pub-id-type="pmid">39468499</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>RH</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>WX</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>ZP</given-names>
</name>
<name>
<surname>Du</surname> <given-names>ZP</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>ZH</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>AL</given-names>
</name>
<etal/>
</person-group>. <article-title>The clinical value of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and systemic inflammation response index (SIRI) for predicting the occurrence and severity of pneumonia in patients with intracerebral hemorrhage</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1115031</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1115031</pub-id>, PMID: <pub-id pub-id-type="pmid">36860868</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>X</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic impact of multiple lymphocyte-based inflammatory indices in acute coronary syndrome patients</article-title>. <source>Front Cardiovasc Med</source>. (<year>2022</year>) <volume>9</volume>:<elocation-id>811790</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcvm.2022.811790</pub-id>, PMID: <pub-id pub-id-type="pmid">35592392</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>B</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Association between the aggregate index of systemic inflammation and clinical outcomes in patients with acute myocardial infarction: A retrospective study</article-title>. <source>J Inflammation Res</source>. (<year>2024</year>) <volume>17</volume>:<page-range>7057&#x2013;67</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/JIR.S481515</pub-id>, PMID: <pub-id pub-id-type="pmid">39377046</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Caforio</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Pankuweit</surname> <given-names>S</given-names>
</name>
<name>
<surname>Arbustini</surname> <given-names>E</given-names>
</name>
<name>
<surname>Basso</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gimeno-Blanes</surname> <given-names>J</given-names>
</name>
<name>
<surname>Felix</surname> <given-names>SB</given-names>
</name>
<etal/>
</person-group>. <article-title>Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases</article-title>. <source>Eur Heart J</source>. (<year>2013</year>) <volume>34</volume>:<fpage>2636</fpage>&#x2013;<lpage>48, 48a-48d</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/eurheartj/eht210</pub-id>, PMID: <pub-id pub-id-type="pmid">23824828</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ammirati</surname> <given-names>E</given-names>
</name>
<name>
<surname>Frigerio</surname> <given-names>M</given-names>
</name>
<name>
<surname>Adler</surname> <given-names>ED</given-names>
</name>
<name>
<surname>Basso</surname> <given-names>C</given-names>
</name>
<name>
<surname>Birnie</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Brambatti</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Management of acute myocarditis and chronic inflammatory cardiomyopathy: an expert consensus document</article-title>. <source>Circ Heart failure</source>. (<year>2020</year>) <volume>13</volume>:<elocation-id>e007405</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/CIRCHEARTFAILURE.120.007405</pub-id>, PMID: <pub-id pub-id-type="pmid">33176455</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jiang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Shu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>DW</given-names>
</name>
<name>
<surname>Hui</surname> <given-names>R</given-names>
</name>
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ran</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Chinese Society of Cardiology guidelines on the diagnosis and treatment of adult fulminant myocarditis</article-title>. <source>Sci China Life Sci</source>. (<year>2024</year>) <volume>67</volume>:<page-range>913&#x2013;39</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11427-023-2421-0</pub-id>, PMID: <pub-id pub-id-type="pmid">38332216</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Han</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Role of immune cells in the pathogenesis of myocarditis</article-title>. <source>J leukocyte Biol</source>. (<year>2024</year>) <volume>115</volume>:<page-range>253&#x2013;75</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jleuko/qiad143</pub-id>, PMID: <pub-id pub-id-type="pmid">37949833</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khawaja</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bromage</surname> <given-names>DI</given-names>
</name>
</person-group>. <article-title>The innate immune response in myocarditis</article-title>. <source>Int J Biochem Cell Biol</source>. (<year>2021</year>) <volume>134</volume>:<fpage>105973</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.biocel.2021.105973</pub-id>, PMID: <pub-id pub-id-type="pmid">33831592</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hua</surname> <given-names>X</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Single-cell RNA sequencing to dissect the immunological network of autoimmune myocarditis</article-title>. <source>Circulation</source>. (<year>2020</year>) <volume>142</volume>:<fpage>384</fpage>&#x2013;<lpage>400</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.119.043545</pub-id>, PMID: <pub-id pub-id-type="pmid">32431172</pub-id></citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kostin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Krizanic</surname> <given-names>F</given-names>
</name>
<name>
<surname>Kelesidis</surname> <given-names>T</given-names>
</name>
<name>
<surname>Pagonas</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>The role of NETosis in heart failure</article-title>. <source>Heart failure Rev</source>. (<year>2024</year>) <volume>29</volume>:<page-range>1097&#x2013;106</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10741-024-10421-x</pub-id>, PMID: <pub-id pub-id-type="pmid">39073665</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>W</given-names>
</name>
<name>
<surname>Zhuang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Self-recruited neutrophils trigger over-activated innate immune response and phenotypic change of cardiomyocytes in fulminant viral myocarditis</article-title>. <source>Cell discovery</source>. (<year>2023</year>) <volume>9</volume>:<fpage>103</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41421-023-00593-5</pub-id>, PMID: <pub-id pub-id-type="pmid">37816761</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xia</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Shan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Role of Treg cell subsets in cardiovascular disease pathogenesis and potential therapeutic targets</article-title>. <source>Front Immunol</source>. (<year>2024</year>) <volume>15</volume>:<elocation-id>1331609</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2024.1331609</pub-id>, PMID: <pub-id pub-id-type="pmid">38558816</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lasrado</surname> <given-names>N</given-names>
</name>
<name>
<surname>Borcherding</surname> <given-names>N</given-names>
</name>
<name>
<surname>Arumugam</surname> <given-names>R</given-names>
</name>
<name>
<surname>Starr</surname> <given-names>TK</given-names>
</name>
<name>
<surname>Reddy</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Dissecting the cellular landscape and transcriptome network in viral myocarditis by single-cell RNA sequencing</article-title>. <source>iScience</source>. (<year>2022</year>) <volume>25</volume>:<fpage>103865</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.isci.2022.103865</pub-id>, PMID: <pub-id pub-id-type="pmid">35243228</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Adoptive transfer of regulatory T cells protects against Coxsackievirus B3-induced cardiac fibrosis</article-title>. <source>PloS One</source>. (<year>2013</year>) <volume>8</volume>:<elocation-id>e74955</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0074955</pub-id>, PMID: <pub-id pub-id-type="pmid">24023968</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tabata</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wada</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kawakami</surname> <given-names>S</given-names>
</name>
<name>
<surname>Miyaji</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Serum albumin redox states: more than oxidative stress biomarker</article-title>. <source>Antioxidants (Basel Switzerland)</source>. (<year>2021</year>) <volume>10</volume>, <fpage>503</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/antiox10040503</pub-id>, PMID: <pub-id pub-id-type="pmid">33804859</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arroyo</surname> <given-names>V</given-names>
</name>
<name>
<surname>Garc&#xed;a-Martinez</surname> <given-names>R</given-names>
</name>
<name>
<surname>Salvatella</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Human serum albumin, systemic inflammation, and cirrhosis</article-title>. <source>J hepatol</source>. (<year>2014</year>) <volume>61</volume>:<fpage>396</fpage>&#x2013;<lpage>407</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhep.2014.04.012</pub-id>, PMID: <pub-id pub-id-type="pmid">24751830</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Di Rosa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sabbatinelli</surname> <given-names>J</given-names>
</name>
<name>
<surname>Giuliani</surname> <given-names>A</given-names>
</name>
<name>
<surname>Carella</surname> <given-names>M</given-names>
</name>
<name>
<surname>Magro</surname> <given-names>D</given-names>
</name>
<name>
<surname>Biscetti</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Inflammation scores based on C-reactive protein and albumin predict mortality in hospitalized older patients independent of the admission diagnosis</article-title>. <source>Immun ageing: I A</source>. (<year>2024</year>) <volume>21</volume>:<fpage>67</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12979-024-00471-y</pub-id>, PMID: <pub-id pub-id-type="pmid">39385197</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arques</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Human serum albumin in cardiovascular diseases</article-title>. <source>Eur J Internal Med</source>. (<year>2018</year>) <volume>52</volume>:<fpage>8</fpage>&#x2013;<lpage>12</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejim.2018.04.014</pub-id>, PMID: <pub-id pub-id-type="pmid">29680174</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ghulam</surname> <given-names>B</given-names>
</name>
<name>
<surname>Bashir</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Akram</surname> <given-names>AK</given-names>
</name>
<name>
<surname>Umaira Khan</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Qadir</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hussain</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>C-reactive protein (CRP) in patients with myocarditis: A systematic review and meta-analysis</article-title>. <source>Cureus</source>. (<year>2024</year>) <volume>16</volume>:<fpage>e71885</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7759/cureus.71885</pub-id>, PMID: <pub-id pub-id-type="pmid">39564010</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>T</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhai</surname> <given-names>G</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Association between neutrophil percentage-to-albumin ratio and all-cause mortality in critically ill patients with coronary artery disease</article-title>. <source>BioMed Res Int</source>. (<year>2020</year>) <volume>2020</volume>:<fpage>8137576</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2020/8137576</pub-id>, PMID: <pub-id pub-id-type="pmid">32934964</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>XR</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>YF</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>C</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma</article-title>. <source>Clin Cancer Res</source>. (<year>2014</year>) <volume>20</volume>:<page-range>6212&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-14-0442</pub-id>, PMID: <pub-id pub-id-type="pmid">25271081</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qi</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zhuang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Geng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy</article-title>. <source>Cancer</source>. (<year>2016</year>) <volume>122</volume>:<page-range>2158&#x2013;67</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.30057</pub-id>, PMID: <pub-id pub-id-type="pmid">27152949</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>P</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of systemic immune inflammatory index with all-cause and cause-specific mortality in hypertensive individuals: Results from NHANES</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1087345</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1087345</pub-id>, PMID: <pub-id pub-id-type="pmid">36817427</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dziedzic</surname> <given-names>EA</given-names>
</name>
<name>
<surname>G&#x105;sior</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Tuzimek</surname> <given-names>A</given-names>
</name>
<name>
<surname>Paleczny</surname> <given-names>J</given-names>
</name>
<name>
<surname>Junka</surname> <given-names>A</given-names>
</name>
<name>
<surname>D&#x105;browski</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Investigation of the associations of novel inflammatory biomarkers-systemic inflammatory index (SII) and systemic inflammatory response index (SIRI)-with the severity of coronary artery disease and acute coronary syndrome occurrence</article-title>. <source>Int J Mol Sci</source>. (<year>2022</year>) <volume>23</volume>:<fpage>9553</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms23179553</pub-id>, PMID: <pub-id pub-id-type="pmid">36076952</pub-id></citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nie</surname> <given-names>H</given-names>
</name>
<name>
<surname>Bu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>X</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Systemic immune-inflammation index (SII) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in the general population</article-title>. <source>Eur J Med Res</source>. (<year>2023</year>) <volume>28</volume>:<fpage>575</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40001-023-01529-1</pub-id>, PMID: <pub-id pub-id-type="pmid">38066657</pub-id></citation></ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cui</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>The neutrophil percentage to albumin ratio as a new predictor of in-hospital mortality in patients with ST-segment elevation myocardial infarction</article-title>. <source>Med Sci monitor: Int Med J Exp Clin Res</source>. (<year>2019</year>) <volume>25</volume>:<page-range>7845&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.12659/MSM.917987</pub-id>, PMID: <pub-id pub-id-type="pmid">31628741</pub-id></citation></ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jin</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>The associations of two novel inflammation indexes, SII and SIRI with the risks for cardiovascular diseases and all-cause mortality: A ten-year follow-up study in 85,154 individuals</article-title>. <source>J Inflammation Res</source>. (<year>2021</year>) <volume>14</volume>:<page-range>131&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/JIR.S283835</pub-id>, PMID: <pub-id pub-id-type="pmid">33500649</pub-id></citation></ref>
</ref-list>
</back>
</article>