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<article article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN"><?covid-19-tdm?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1210007</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>Myocarditis and pericarditis in individuals exposed to the Ad26.COV2.S, BNT162b2 mRNA, or mRNA-1273 SARS-CoV-2 vaccines</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Pareek</surname><given-names>Manan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2289594/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Sessa</surname><given-names>Pasquale</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1815917/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Polverino</surname><given-names>Paolo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1325272/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Sessa</surname><given-names>Francesco</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/627767/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Kragholm</surname><given-names>Kristian Hay</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1951502/overview" /></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Sessa</surname><given-names>Maurizio</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1325252/overview" /></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Center for Translational Cardiology and Pragmatic Randomized Trials, Copenhagen University Hospital&#x2014;Herlev and Gentofte</institution>, <addr-line>Hellerup</addr-line>, <country>Denmark</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Cardiology, Copenhagen University Hospital&#x2014;Rigshospitalet</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Emergency Department, San Camillo&#x2014;Forlanini Hospital Rome</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Experimental and Clinical Medicine, University of Florence</institution>, <addr-line>Florence</addr-line>, <country>Italy</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Department of Cardiology, Aalborg University Hospital</institution>, <addr-line>Aalborg</addr-line>, <country>Denmark</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Department of Drug Design and Pharmacology, University of Copenhagen</institution>, <addr-line>Copenhagen</addr-line>, <country>Denmark</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Soheil Ebrahimpour, Babol University of Medical Sciences, Iran</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Lilia M. M. Sierra-Galan, The American British Cowdray Medical Center, Mexico Parnian Shobeiri, Memorial Sloan Kettering Cancer Center, United States Sara Bagherieh, Isfahan University of Medical Sciences, Iran, in collaboration with reviewer [PS]</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Maurizio Sessa <email>maurizio.sessa@sund.ku.dk</email></corresp>
<fn fn-type="other" id="fn001"><label><sup>&#x2020;</sup></label><p>ORCID Maurizio Sessa <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-0874-4744">orcid.org/0000-0003-0874-4744</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub"><day>24</day><month>11</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1210007</elocation-id>
<history>
<date date-type="received"><day>21</day><month>04</month><year>2023</year></date>
<date date-type="accepted"><day>06</day><month>11</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Pareek, Sessa, Polverino, Sessa, Kragholm and Sessa.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Pareek, Sessa, Polverino, Sessa, Kragholm and Sessa</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>Importance</title>
<p>There is a high level of public and professional interest related to potential safety issues of the COVID-19 vaccines; however, no serious adverse cardiovascular events were reported in phase 3 randomized controlled trials of their safety and efficacy. Moreover, none of the case series from the United States (US) of these potential complications have been population-based.</p>
</sec>
<sec><title>Objectives</title>
<p>To estimate the reporting rates of myocarditis and pericarditis in the US using the Vaccine Adverse Event Reporting System (VAERS), and to assess if these adverse events were disproportionally reported among the different COVID-19 vaccines.</p>
</sec>
<sec><title>Design, setting, and participants</title>
<p>All cases of myocarditis and pericarditis from VAERS reported up to July 28, 2021.</p>
</sec>
<sec><title>Exposure</title>
<p>Single-dose Ad26.COV2.S, BNT162b2 mRNA, or mRNA-1273 SARS-CoV-2 vaccinations.</p>
</sec>
<sec><title>Main outcomes and measures</title>
<p>Reporting rates were computed by dividing the total number of cases of myocarditis and pericarditis (combined) by the total number of vaccine doses administered. Disproportionality analyses were performed to evaluate disproportional reporting of myocarditis and pericarditis for the Ad26.COV2.S and mRNA-1273 vaccines vs. the BNT162b2 mRNA vaccine.</p>
</sec>
<sec><title>Results</title>
<p>By July 28, 2021, 1392, 699, and 68 cases of myocarditis or pericarditis had been reported out of 1.91, 1.38, and 1.33 million administered doses of the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines, respectively. Median times to event were 3 days, 3 days, and 9 days for the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines. The reporting rates for myocarditis or pericarditis were 0.00073 (95&#x0025; confidence interval, 95&#x0025; CI 0.00069&#x2013;0.00077), 0.00051 (95&#x0025; CI 0.00047&#x2013;0.00055), and 0.00005 events per dose (95&#x0025; CI 0.00004&#x2013;0.00006) for the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines, respectively. Myocarditis and pericarditis were disproportionally reported following the BNT162b2 mRNA vaccine when compared with the other vaccines, using both disproportionality measures.</p>
</sec>
<sec><title>Conclusions and relevance</title>
<p>We found reporting rates of myocarditis and pericarditis to be less than 0.1&#x0025; after COVID-19 vaccination. Rates were highest for the BNT162b2 mRNA vaccine, followed by the mRNA-1273 and Ad26.COV2.S, respectively. However, the reporting rates of myocarditis and pericarditis secondary to vaccination remains less common than those seen for SARS-CoV-2 infection.</p>
</sec>
</abstract>
<kwd-group>
<kwd>myocarditis</kwd>
<kwd>pericarditis</kwd>
<kwd>coronavirus</kwd>
<kwd>vaccination</kwd>
<kwd>VAERS</kwd>
<kwd>Vaccine Adverse Event Reporting System</kwd>
<kwd>mRNA vaccine against SARS-CoV-2</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/><equation-count count="2"/><ref-count count="41"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>General Cardiovascular Medicine</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s2" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Myocarditis is inflammation of the cardiac muscle, while pericarditis is a pericardial inflammatory syndrome (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Myocarditis and pericarditis share common etiologies, and overlapping forms are often encountered (<xref ref-type="bibr" rid="B4">4</xref>). While both conditions are most frequently triggered by viral infection, now including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (<xref ref-type="bibr" rid="B5">5</xref>), cases have been reported following the BNT162b2-mRNA (Pfizer-BioNTech) and mRNA-1273 (Moderna) coronavirus disease 2019 (COVID-19) vaccines (<xref ref-type="bibr" rid="B6">6</xref>). There is a high level of public and professional interest related to potential safety issues of the COVID-19 vaccines, but no serious adverse cardiovascular events were reported in phase 3 randomized controlled trials of their safety and efficacy (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Although rates of myocarditis or pericarditis following COVID-19 vaccines appear to be higher than expected when compared with the background population, early case series from the United States (US) of these potential complications were not population-based (<xref ref-type="bibr" rid="B10">10</xref>), and reported studies using data from the Vaccine Adverse Event Reporting System (VAERS) have not directly compared the three most commonly administered vaccines (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Therefore, we aimed to describe the reporting rates of myocarditis and pericarditis in the US, assess disproportionality in reporting myocarditis or pericarditis among the different vaccines, and describe the characteristics of individuals who developed these conditions.</p>
</sec>
<sec id="s3" sec-type="methods"><label>2.</label><title>Methods</title>
<sec id="s3a"><label>2.1.</label><title>Data sources</title>
<p>Using VAERS, we retrieved all cases of myocarditis and pericarditis following single-dose Ad26.COV2.S, BNT162b2 mRNA, or mRNA-1273 SARS-CoV-2 vaccinations reported up to July 28, 2021. Medical Dictionary for Regulatory Activities (MedDRA) preferred terms used to retrieve the cases from VAERS were myocarditis, pericarditis, viral myocarditis, and viral pericarditis.</p>
</sec>
<sec id="s3b"><label>2.2.</label><title>Case-by-case analysis</title>
<p>A descriptive analysis of the demographic and clinical characteristics of the cases was performed. Age and sex stratified by vaccine type were presented in a density plot and a bar chart, respectively. A case-by-case analysis was performed by two researchers (PP and PS) which included an evaluation of risk factors for myocarditis and pericarditis (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>), the medical confirmation of the diagnosis by laboratory analyses and/or imaging, and an analysis of the narrative description of the case provided by the healthcare providers. Based on the results of the case-by-case analysis, we classified the cases as having/not having a validated diagnosis and has having/not having concurrent risk factors for myocarditis and pericarditis. During the case-by-case analysis, we screened for duplicates and cases that required obvious exclusion. This approach has been extensively used in VAERS and other spontaneous reporting databases (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="s3c"><label>2.3.</label><title>Disproportionality analyses</title>
<p>Reporting rates were computed by dividing the total number of cases of myocarditis and pericarditis (combined) by the total number of vaccine doses administered. Reporting rate ratios were computed by dividing the reporting rates for myocarditis and pericarditis (combined) of the Ad26.COV2.S and mRNA-1273 vaccines by the reporting rate of the BNT162b2 mRNA vaccine. The 95&#x0025; confidence intervals (95&#x0025; CI) of the reporting rates and reporting rate ratios were also computed.</p>
<p>Disproportionality analyses were performed to evaluate disproportional reporting of myocarditis and pericarditis for the Ad26.COV2.S and mRNA-1273 vaccines vs. the BNT162b2 mRNA vaccine. The reporting odds ratio (ROR) and Empirical Bayes Geometric Mean (EBGM) were used as disproportionality measures, the formulas of which are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. An additional disproportionality analysis was performed only using cases that through case-by-case assessment were found to have a validated diagnosis and for which no risk factors were reported.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Formulas for computing the reporting odds ratio (ROR), the standard error for the ROR, the empirical Bayes geometric mean (EBGM), and the 95&#x0025; confidence interval for the EBGM.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Groups</th>
<th valign="top" align="left">Cases of interest (e.g., myocarditis or pericarditis)</th>
<th valign="top" align="left">Other cases</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Moderna or Janssen Covid-19 vaccines</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">C</td>
</tr>
<tr>
<td valign="top" align="left">Pfizer-BioNTech Covid-19 vaccines</td>
<td valign="top" align="left">B</td>
<td valign="top" align="left">D</td>
</tr>
<tr>
<td valign="top" align="left"><italic>&#x00A0;</italic></td>
<td valign="top" align="left">Table legend</td>
<td valign="top" align="left"><italic>&#x00A0;</italic></td>
</tr>
<tr>
<td valign="top" align="left">Disproportionality measures</td>
<td valign="top" align="left"><inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mtable rowspacing="4pt" columnspacing="1em"><mml:mtr><mml:mtd><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ROR</mml:mi><mml:mspace width="thinmathspace"/></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:mspace width="thickmathspace" /></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mi>c</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mspace width="thickmathspace" /></mml:mrow><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mrow><mml:mspace width="thickmathspace" /></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>b</mml:mi><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mi>d</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mrow><mml:mi mathvariant="normal">Standard</mml:mi><mml:mspace width="thinmathspace"/><mml:mi mathvariant="normal">error</mml:mi><mml:mspace width="thinmathspace"/></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">Ln</mml:mi><mml:mspace width="thinmathspace"/><mml:mi mathvariant="normal">ROR</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:msqrt><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mi>a</mml:mi></mml:mfrac></mml:mrow><mml:mo>+</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mi>b</mml:mi></mml:mfrac></mml:mrow><mml:mo>+</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mi>c</mml:mi></mml:mfrac></mml:mrow><mml:mo>+</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mi>d</mml:mi></mml:mfrac></mml:mrow></mml:mstyle></mml:mstyle></mml:mstyle></mml:mstyle></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:msqrt></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></inline-formula></td>
<td valign="top" align="left"><inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM2"><mml:mtable rowspacing="4pt" columnspacing="1em"><mml:mtr><mml:mtd><mml:mrow><mml:mrow><mml:mi mathvariant="normal">EGBM</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mi>a</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi><mml:mo>+</mml:mo><mml:mi>d</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mn>95</mml:mn><mml:mtext>&#x0025;</mml:mtext><mml:mrow><mml:mspace width="thickmathspace" /><mml:mi mathvariant="normal">Confidence</mml:mi><mml:mspace width="thinmathspace"/><mml:mi mathvariant="normal">Interval</mml:mi><mml:mspace width="thinmathspace"/></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">EGBM</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:mi mathvariant="normal">EGBM</mml:mi></mml:mrow><mml:mo>&#x2217;</mml:mo><mml:mi>e</mml:mi><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mo>&#x00B1;</mml:mo><mml:mn>1.645</mml:mn></mml:mrow><mml:mrow><mml:msqrt><mml:msub><mml:mi>c</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ij</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:msqrt></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mrow><mml:mi mathvariant="normal">Where</mml:mi></mml:mrow><mml:mspace width="thinmathspace" /><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mrow><mml:mi mathvariant="normal">ij</mml:mi></mml:mrow></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi><mml:mo>+</mml:mo><mml:mi>d</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></inline-formula></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We considered a diagnosis corroborated by laboratory analysis and/or imaging if at least one of the following had been described:
<list list-type="simple">
<list-item><label>1)</label><p>Troponin concentration above the 99th percentile upper reference limit;</p></list-item>
<list-item><label>2)</label><p>Electrocardiogram with typical alterations observed in cases of myocarditis or pericarditis, e.g., diffuse ST-segment elevations and PR-segment depressions;</p></list-item>
<list-item><label>3)</label><p>Findings on magnetic resonance imagining or echocardiogram supporting the diagnosis of myocarditis or pericarditis;</p></list-item>
<list-item><label>4)</label><p>Endomyocardial biopsy results supporting the diagnosis of myocarditis;</p></list-item>
</list></p>
<p>Additionally, we ensured that coronary angiography or CT-angiography did not support a diagnosis of obstructive coronary artery disease or pulmonary embolism.</p>
</sec>
</sec>
<sec id="s4" sec-type="results"><label>3.</label><title>Results</title>
<sec id="s4a"><label>3.1.</label><title>Descriptive analysis</title>
<p>By July 28, 2021, 1392, 699, and 68 cases of myocarditis or pericarditis had been reported out of 1.91, 1.38, and 1.33 million administered doses of the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines. In all, 815 of 1392 (58&#x0025;) and 369 of 699 (53&#x0025;) cases of myocarditis or pericarditis followed the second dose of the BNT162b2 mRNA and mRNA-1273 COVID-19 vaccines, respectively.</p>
<p>The median times to event were 3 days (interquartile range, IQR 1&#x2013;10 days), 3 days (IQR 2&#x2013;13), and 9 days (IQR 2&#x2013;25) for the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines. Nine-hundred and seventy-five, 500, and 40 individuals required hospitalization for myocarditis or pericarditis. There were 10, 9, and 2 fatal cases, respectively.</p>
</sec>
<sec id="s4b"><label>3.2.</label><title>Case-by-case analysis</title>
<p>In the case-by-case analysis, we identified 307 duplicates and 1 case for which it was claimed that no COVID-19 vaccine had been received. Therefore, these cases were excluded from further analyses.</p>
<p>Median age of the cases was 27 years (IQR, 18&#x2013;45), and 74&#x0025; were male. The age and sex distributions of cases stratified by vaccine manufacturer are presented in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Age and sex distribution of cases of myocarditis and pericarditis by vaccine manufacturer. M, male; F, Female.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1210007-g001.tif"/>
</fig>
<p>A total of 3,662 examinations were performed by healthcare providers to confirm the diagnosis of myocarditis or pericarditis, and to exclude the concurrent presence of clinical conditions that may have overlapping signs and symptoms. None of the cases reported a medical history of birth defects.</p>
<p>Forty-eight percent of the diagnoses were confirmed by laboratory analyses or imaging, without the presence of risk factors. In 7&#x0025;, the diagnosis was supported by these ancillary tests, but risk factors had been reported. In 40&#x0025; of the cases, the diagnosis was not confirmed by laboratory analyses or imaging, and risk factors were not reported. Finally, in 5&#x0025;, the diagnosis was not confirmed by ancillary tests, but risk factors were reported.</p>
<p>Representative examples of clusters of cases with and without a diagnosis validated by laboratory analyses or medical imaging, and with or without concurrent risk factors are provided in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. All cases evaluated are provided in <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Representative examples for clusters of similar cases of myocarditis and pericarditis following pfizer-bioNTech, moderna, and janssen COVID-19 vaccines exposure.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Cluster</th>
<th valign="top" align="center">Case reports</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">The diagnosis was medically confirmed, laboratory analysis supported the diagnosis of myocarditis/pericarditis, and risk factors were not reported</td>
<td valign="top" align="left">Age: 31<break/>Sex: Male<break/>State: Minnesota<break/>Narrative description of the case: The patient reports a severe dull ache pain radiating in the left arm that&#x2019;s been intermittent over the past week and associated tightness in neck/chest &#x0026; diaphoresis. The patient received the 2nd Moderna shot the week before the occurrence of the first signs and symptoms and described feeling extensive discomfort 24&#x2005;h following the vaccination and, then started feeling the abovementioned symptoms. The electrocardiogram showed sinus rhythm and ST elevations in V3&#x2013;V6 and in the inferior leads (II, III, and aVF). Troponins were 8.32 at the admission and peaked to 13.58 after 3&#x2005;h. At the admission, C-reactive protein was 6.1 and erythrocyte Sedimentation Rate 17. Chest x-ray was clear. Cardiac catheterization was performed to rule out obstructive coronary artery disease. Following this exam, Magnetic Resonance Imaging was performed and it confirmed myocarditis. The patient improved and was ultimately discharged in a week with a clinical follow-up in 1 month.<break/>Exams: Magnetic Resonance Imaging of the heart: findings concerning acute myocarditis edema &#x0026; sub-epicardial delayed enhancement of left ventricle inferior &#x0026; lateral walls at the base (ejection fraction 54&#x0025;).<break/>Risk factors: none.</td>
</tr>
<tr>
<td valign="top" align="left">Laboratory analyses supported the diagnosis of myocarditis/pericarditis however, risk factors for myocarditis/pericarditis were reported.</td>
<td valign="top" align="left">Age: 76<break/>Sex: Female<break/>State: Oregon<break/>Narrative description of the case: Acute myocarditis.<break/>Exams: Patient initially presenting with recurrent atypical chest pain, now third episode in the past week with similar presenting symptoms. Recently hospitalized for suspected non-ST elevation myocardial infarction, with coronary angiogram at that time demonstrating non-obstructive coronary artery disease (1/4/2021).<break/>Readmitted 27/4/2021 with recurrent chest pain and started on antianginal therapy with sublingual nitroglycerin and isosorbide mononitrate which were ineffective, subsequently resulting in current readmission (29/4/2021). Given mild persistent troponin elevation (200), cardiology consultation was obtained.<break/>Repeat transthoracic echocardiogram (30/4/2021) demonstrating interval improvement in ejection fraction with resolution of previously demonstrated wall motion abnormalities, ejection fraction is now 65&#x0025;. Cardiac magnetic resonance was obtained which demonstrated abnormal T1 and T2 signal changes in the left ventricle consistent with myocarditis, notably no washing abnormalities were present. Per cardiology, likely resolving viral myocarditis. No further cardiac risk ratification indicated at this time. Cardiology advised symptomatic management of intermittent chest pain with hydrocodone/acetaminophen and avoidance of nonsteroidal medications. Patient was extensively counseled on the etiology of her chest pain, with emphasis on reassuring findings from recent coronary angiogram and cardiac MRI that chest pain does not appear to be due to acute coronary syndrome/ischemic heart disease. Sublingual nitroglycerin and isosorbide mononitrate were discontinued, and she was restarted on prior dose losartan for initial medical therapy with angiotensin-converting enzyme inhibitors given non-ischemic cardiomyopathy.<break/><italic>Cardiovascular magnetic resonance 30/4/2021:</italic>
<list list-type="simple">
<list-item><label>1.</label><p>Abnormal T1 and T2 signal changes in the left ventricle with at least one focus of subepicardial enhancement involving the mid inferolateral segment, compatible with myocarditis. There are no wall motion abnormalities on the current exam to suggest stress cardiomyopathy.</p></list-item>
<list-item><label>2.</label><p>Normal left-ventricular systolic function, ejection fraction 67&#x0025;.</p></list-item>
</list><bold>Risk factors:</bold> concurrent cardiovascular disorders, hypothyroidism, and metastatic breast, and lung cancer.</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">The diagnosis was not medically confirmed by laboratory analyses but no risk factors for myocarditis/pericarditis were concurrently reported.</td>
<td valign="top" align="left">Age: 14<break/>Sex: Male<break/>State: Maryland<break/>Narrative description of the case: The patient presented to the emergency room with a severe unrelenting chest pain beginning abruptly 4 days after receiving first dose of Pfizer COVID19 vaccine. He was diagnosed at the emergency room with pericarditis and discharged with ibuprofen. Chest pain has gradually improved over past 6 days though is still intermittently present.<break/>Exams: Electrocardiogram and chest x-ray were done at emergency room were reported to the parent as normal. Laboratory tests: Complete Blood Count: normal, C-reactive protein: normal, troponins: normal.<break/>Risk factors: none.</td>
</tr>
<tr>
<td valign="top" align="left">Age: 17<break/>Sex: Male<break/>State: California<break/>Narrative description of the case: A <bold>co</bold>uple days after my son (17 years old) got the 2nd shot he was having a pressure in his chest and left arm so we rushed him to the hospital. When we got to the hospital blood test show also liver inflammation they hospitalized him right away. He was there 3 days and just got released. Now he need to be under care with medication and visit to a heart cardiology doctor every few days for tests. He cannot do any activity (per to the doctor including computer games that can raise his heart rate).<break/>Exams: Inflammation of the heart, many test was takes.<break/>Risk factors: none.</td>
</tr>
<tr>
<td valign="top" align="left">The diagnosis was not medically confirmed by laboratory analyses and risk factors for myocarditis/pericarditis were concurrently reported.</td>
<td valign="top" align="left">Age: 39<break/>Sex: Male<break/>State: South Carolina<break/>Narrative description of the case: 1/5/21 started with fever, severe body aches, shaking from being cold even bundled with electric blanket, nausea, and vomiting. That lasted through 1/8/2021. On 1/7 I started having trouble with taking a deep breath. Chest would get very tight and hurt when I would take a big breath, bend forward, or lay back. I went to express care and they could not rule out pericarditis. Told me to go to the emergency room for further work up to rule out spontaneous pulmonary embolism or pericarditis.<break/>Exams: 1/9 electrocardiogram and chest x-ray, both looked good. They did not have an echo or a computed tomography scanner. I have been taking 600&#x2005;mg ibuprofen every 6&#x2005;h (around the clock) to clear the inflammation and as of this morning 1/10 I am feeling 95&#x0025; better! I will call my rheumatologist tomorrow when they open to see if he recommends echocardiogram/computed tomography to check my heart.<break/>Risk factors: Systemic lupus erythematosus.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4c"><label>3.3.</label><title>Reporting rates, reporting rate ratios, and disproportionality analyses</title>
<p>The reporting rates for myocarditis/pericarditis were 0.00073 (95&#x0025; confidence interval, 95&#x0025; CI 0.00069&#x2013;0.00077), 0.00051 (95&#x0025; CI 0.00047&#x2013;0.00055), and 0.00005 events per dose (95&#x0025; CI 0.00004&#x2013;0.00006) for the BNT162b2 mRNA, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines, respectively. The reporting rate ratios for myocarditis or pericarditis were 1.44 (95&#x0025; CI 1.31&#x2013;1.58; BNT162b2 mRNA vs. mRNA-1273), 18.87 (95&#x0025; CI 10.57&#x2013;33.72; mRNA-1273 vs. Ad26.COV2.S), and 14.26 (95&#x0025; CI 11.18&#x2013;18.20; BNT162b2 mRNA vs. Ad26.COV2.S).</p>
<p>Myocarditis and pericarditis were disproportionally reported following the BNT162b2 mRNA vaccine when compared with both the Ad26.COV2.S and mRNA-1273 vaccines, independently of the disproportionality measure used in the analysis (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). The results of the sensitivity analysis performed on cases with a validated diagnosis of myocarditis and pericarditis by laboratory analyses or imaging were consistent with those provided in the main analysis (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Forest plot of the results of the disproportionality analysis<italic>.</italic> ROR, reporting odds ratio; EBGM, empirical Bayes geometric mean; AEFI, adverse event following immunization.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1210007-g002.tif"/>
</fig>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Forest plot of the results of the disproportionality analysis performed with validated cases by laboratory analysis/medical imaging of myocarditis and pericarditis<italic>.</italic> ROR, reporting odds ratio; EBGM, empirical Bayes geometric mean; AEFI, adverse event following immunization.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1210007-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>In this comprehensive analysis based on VAERS, we found reporting rates of myocarditis and pericarditis to be less than 0.1&#x0025; for all three types of COVID-19 vaccines authorized for use in the US. Reporting rates were highest for the BNT162b2 mRNA vaccine, followed by the mRNA-1273 and Ad26.COV2.S vaccines, respectively. Almost half of the cases were confirmed by laboratory testing and/or imaging without the presence of other risk factors for myocarditis or pericarditis.</p>
<p>The first report of myocarditis following administration of the BNT162b2-mRNA vaccine described 62 individuals in Israel, primarily young men (<xref ref-type="bibr" rid="B25">25</xref>). Two of these cases were fatal. Since then, reports also emerged from the US where the incidence of myocarditis or pericarditis after COVID-19 vaccination was higher than expected when compared with background rates (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B26">26</xref>). The fact that most cases were seen in previously healthy male adolescents or young men, and generally developed within a week of vaccine administration, agrees with prior reports (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Interestingly, rates of myocarditis or pericarditis after administration of the BNT162b2-mRNA and mRNA-1273 vaccines appear to be an order of magnitude higher than those previously described for the smallpox vaccine among military personnel (<xref ref-type="bibr" rid="B32">32</xref>). Conversely, rates seem similar for the Ad26.COV2.S vaccine.</p>
<p>The risk of myocarditis or pericarditis following COVID-19 vaccination is likely lower than the risk of these conditions secondary to COVID-19 infection (<xref ref-type="bibr" rid="B33">33</xref>). Moreover, cases of COVID-19-related myopericarditis are likely underreported (<xref ref-type="bibr" rid="B34">34</xref>). One review reported a 15-fold higher risk of myocarditis or pericarditis after SARS-CoV-2 infection (150&#x2013;4,000 cases/100,000 individuals) compared with pre-COVID levels (1&#x2013;10 cases/100,000 individuals) (<xref ref-type="bibr" rid="B35">35</xref>). Finally, a recent systematic review and meta-analysis found a more than 7-fold higher in persons who were infected with the SARS-CoV-2 than in those who were vaccinated (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>Our study extends data from prior studies that used data from VAERS (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). For example, Alami et al. found the combined rate of myocarditis and pericarditis to be higher after the second vaccine dose and highest among males aged 12&#x2013;17 years (&#x223C;6 cases per 100,000&#x2005;s doses) (<xref ref-type="bibr" rid="B11">11</xref>). Reporting rates were similar between both mRNA COVID-19 vaccines (BNT162b2-mRNA and mRNA-1273) across the different age groups. These results were corroborated by a comprehensive study by Oster et al. (<xref ref-type="bibr" rid="B14">14</xref>) Laurini et al. also found disproportionality for BNT162b2 as compared with mRNA-1273 for myocarditis (<xref ref-type="bibr" rid="B15">15</xref>). Finally, Woo et al. raised a potential safety concern for the Ad26.COV2.S vaccine with respect to myocarditis (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>In most prior reports on COVID-19 vaccine-related myocarditis and pericarditis, the diagnosis was based on laboratory testing and noninvasive imaging. However, a case series of two patients demonstrated histologically confirmed myocarditis after the BNT162b2-mRNA and mRNA-1273 vaccines (<xref ref-type="bibr" rid="B37">37</xref>). In both these cases, an inflammatory infiltrate with macrophages, <italic>T</italic>-cells, eosinophils, and B-cells was seen upon endomyocardial sampling. Testing for viral genomes or autoantibodies in the tissue specimens was not performed, but no other causes were identified by polymerase chain reaction or serologic examination. Therefore, although causality between the COVID-19 vaccines and these cardiovascular complications remains unproven, it does appear likely because of the temporal association and the lack of other plausible causes (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>The systemic inflammatory response to immunizations can lead to both myocardial and pericardial inflammation (<xref ref-type="bibr" rid="B38">38</xref>). The underlying mechanism has not been fully elucidated, but is most likely nonspecific innate inflammation or molecular mimicry, leading to eosinophilic hypersensitivity myocarditis as has been seen for other drugs and vaccines (<xref ref-type="bibr" rid="B38">38</xref>). Indeed, the presentation is fairly similar to that of idiopathic myopericarditis (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B39">39</xref>). While some studies have reported abnormal left ventricular systolic function in this setting (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>), long-term prognostic implications are unknown. It is also unclear why more cases have been reported after the mRNA-based vaccines. This may be due to their different mechanism of action, the fact that two doses are administered, or because the BNT162b2-mRNA vaccine is more commonly used in younger individuals who may be more susceptible to develop myocarditis and pericarditis.</p>
<sec id="s5a"><label>4.1.</label><title>Limitations</title>
<p>Our results should be considered in virtue of the limitations of VAERS. Spontaneous reporting systems are susceptible to both underreporting and incomplete reporting. Accordingly, it is not possible to accurately assess the frequency or incidence of adverse events using these data sources. As an example, there was a significantly higher incidence of myocarditis and pericarditis after small-pox vaccination when actively following patients compared with passive case finding (<xref ref-type="bibr" rid="B38">38</xref>). Spontaneous reporting databases are also sensitive to the high variability of data quality without adjudication, differential reporting, and the lack of an accurate denominator. These factors may influence the reliability of head-to-head comparisons among vaccines (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Furthermore, it is important to acknowledge the emergence of bivalent versions of the COVID-19 vaccines, such as the d26.COV2.S, BNT162b2 mRNA, and mRNA-1273 SARS-CoV-2 vaccines. While our analysis focused on the safety of existing vaccine formulations, it is crucial to recognize that this study did not include an evaluation of the bivalent versions as they were not available at the time of our analysis. Future research should consider examining the effectiveness and potential benefits of these specific vaccines, as they may contribute to a more comprehensive understanding of the evolving landscape of COVID-19 vaccination strategies. Including such analysis could provide valuable insights into the comparative safety profiles of different vaccine formulations.</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions"><label>5.</label><title>Conclusions</title>
<p>We found reporting rates of myocarditis and pericarditis to be less than 0.1&#x0025; after COVID-19 vaccination. Rates were highest for the BNT162b2 mRNA vaccine, followed by the mRNA-1273 and Ad26.COV2.S vaccines, respectively. The reporting rates of cardiovascular complications such as myocarditis and pericarditis secondary to vaccination remain less common than those seen for SARS-CoV-2 infection.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://vaers.hhs.gov/">https://vaers.hhs.gov/</ext-link>.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>SM had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: SM, SP, MP, PP and KK. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: All authors. Clinical review of cases: SP, SF, MP, PP and KK. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: SM. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1210007/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1210007/full#supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="Table1.xlsx"/>
</supplementary-material>
</sec>
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