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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. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2023.1088972</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Stable fitness during COVID-19: Results of serial testing in a cohort of youth with heart disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Powell</surname><given-names>Adam W.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1707012/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Mays</surname><given-names>Wayne A.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2177773/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Wittekind</surname><given-names>Samuel G.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Chin</surname><given-names>Clifford</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Knecht</surname><given-names>Sandra K.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Lang</surname><given-names>Sean M.</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/2177166/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Opotowsky</surname><given-names>Alexander R.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Pediatrics</addr-line>, <institution>University of Cincinnati College of Medicine</institution>, <addr-line>Cincinnati, OH</addr-line>, <country>United States</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>The Heart Institute</addr-line>, <institution>Cincinnati Children&#x2019;s Hospital Medical Center</institution>, <addr-line>Cincinnati, OH</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> David Alexander White, Children&#x0027;s Mercy Hospital, United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Danielle Burstein, University of Vermont, United States Aimee Layton, Columbia University, United States</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Adam W. Powell <email>Adam.Powell@cchmc.org</email></corresp>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to Pediatric Cardiology, a section of the journal Frontiers in Pediatrics</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>20</day><month>02</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>11</volume><elocation-id>1088972</elocation-id>
<history>
<date date-type="received"><day>03</day><month>11</month><year>2022</year></date>
<date date-type="accepted"><day>02</day><month>02</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Powell, Mays, Wittekind, Chin, Knecht, Lang and Opotowsky.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Powell, Mays, Wittekind, Chin, Knecht, Lang and Opotowsky</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Little is known about how sport and school restrictions early during the novel coronavirus 2019 (COVID-19) pandemic impacted exercise performance and body composition in youth with heart disease (HD).</p>
</sec><sec><title>Methods</title>
<p>A retrospective chart review was performed on all patients with HD who had serial exercise testing and body composition <italic>via</italic> bioimpedance analysis performed within 12 months before and during the COVID-19 pandemic. Formal activity restriction was noted as present or absent. Analysis was performed with a paired <italic>t</italic>-test.</p>
</sec><sec><title>Results</title>
<p>There were 33 patients (mean age 15.3&#x2009;&#x00B1;&#x2009;3.4 years; 46&#x0025; male) with serial testing completed (18 electrophysiologic diagnosis, 15 congenital HD). There was an increase in skeletal muscle mass (SMM) (24.1&#x2009;&#x00B1;&#x2009;9.2&#x2013;25.9&#x2009;&#x00B1;&#x2009;9.1&#x2005;kg, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), weight (58.7&#x2009;&#x00B1;&#x2009;21.5&#x2013;63.9&#x2009;&#x00B1;&#x2009;22&#x2005;kg, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), and body fat percentage (22.7&#x2009;&#x00B1;&#x2009;9.4&#x2013;24.7&#x2009;&#x00B1;&#x2009;10.4&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.04). The results were similar when stratified by age &#x003C;18 years old (<italic>n</italic>&#x2009;&#x003D;&#x2009;27) or by sex (male 16, female 17), consistent with typical pubertal changes in this predominantly adolescent population. Absolute peak VO<sub>2</sub> increased, but this was due to somatic growth and aging as evidenced by no change in &#x0025; of predicted peak VO<sub>2</sub>. There remained no difference in predicted peak VO<sub>2</sub> when excluding patients with pre-existing activity restrictions (<italic>n</italic>&#x2009;&#x003D;&#x2009;12). Review of similar serial testing in 65 patients in the 3 years before the pandemic demonstrated equivalent findings.</p>
</sec><sec><title>Conclusions</title>
<p>The COVID-19 pandemic and related lifestyle changes do not appear to have had substantial negative impacts on aerobic fitness or body composition in children and young adults with HD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>exercise changes</kwd>
<kwd>body composition</kwd>
<kwd>cardiopulmonary exercise test (CPET)</kwd>
<kwd>congenital heart disaese</kwd>
</kwd-group><contract-num rid="cn001">&#x00A0;</contract-num><contract-sponsor id="cn001">Cincinnati Children&#x2019;s Hospital Heart Institute Research Core<named-content content-type="fundref-id">10.13039/100007172</named-content></contract-sponsor><counts>
<fig-count count="0"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="21"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Concerns about cardiac damage following coronavirus disease 2019 (COVID-19) and society-wide mitigation strategies disrupted children&#x0027;s lives during the COVID-19 pandemic, particularly during the early stages. Policies, such as school and sport restriction, dramatically altered daily routines, leading to more school-based and leisure screen time and less time in active play with their peers (<xref ref-type="bibr" rid="B1">1</xref>). Decreased physical activity because of COVID-19 related restrictions has been shown in multiple studies in pediatrics (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Little is known about the effect this has had on fitness and body composition in pediatric and congenital heart disease (CHD), individuals who are often already deconditioned. The only known pediatric CHD study included a combination of individuals with and without heart disease, reporting a decline in peak oxygen consumption (VO<sub>2</sub>) on serial exercise testing performed during the pandemic (<xref ref-type="bibr" rid="B4">4</xref>).The aims of this study were to: (1) understand how COVID-19 mitigation strategies affected fitness and also body composition in youth with heart disease, and (2) determine if children with heart disease and pre-existing exercise restrictions were more likely to have alterations in their fitness or body composition compared to without such restriction.</p>
</sec>
<sec id="s2"><label>2.</label><title>Materials and methods</title>
<p>This study was approved by the Cincinnati Children&#x0027;s Hospital Medical Center Institutional Review Board, and informed consent was not required for this study.</p>
<sec id="s2a"><label>2.1.</label><title>Patients</title>
<p>We identified all individuals with heart disease &#x2264;21 years old at the time of the first test, and who underwent a routine cardiopulmonary exercise test (CPET) at Cincinnati Children&#x0027;s Hospital within a year before and after March 21, 2020 (i.e., the date that extensive COVID-19 mitigation strategies including school and sports cancellations were established locally). This group we defined as the &#x201C;COVID lockdown&#x201D; study group. Heart disease was defined as either electrocardiographic (i.e., Long QT syndrome, catecholaminergic polymorphic ventricular tachycardia) or CHD (bicuspid aortic valve, Fontan physiology, etc). We included only those for whom exercise testing was performed as routine standard of care and not secondary to cardiac symptoms or concern for deterioration (i.e., testing to assess for adequate beta-blockade if long QT patients, evaluate for serial changes in peak VO<sub>2</sub> in CHD patients for prognostic purposes, ST segment/T wave changes in patients with left ventricular outflow tract obstruction). This was evaluated on chart review utilizing the electronic medical record. Additional exclusion criteria included a submaximal test (details below) and missing data. Additionally, to determine if any changes in fitness were secondary to COVID-19 mitigation or rather typical fitness changes in patients with heart disease, an age, sex, and diagnosis-matched historical control group was performed for those with serial CPET performed during the 3 years prior to the COVID-19 pandemic. To help account for other confounders, following initial result reporting a sensitivity analysis was performed to evaluate for differences in serial testing by excluding patients with pre-existing activity restrictions, adult patients, and those with a percent predicted peak VO<sub>2</sub>&#x2009;&#x003C;&#x2009;80&#x0025;. Lastly, all patients tested during the COVID-19 pandemic required a negative PCR test on a nasopharyngeal swab prior to their CPET.</p>
</sec>
<sec id="s2b"><label>2.2.</label><title>Study measures</title>
<sec id="s2b1"><label>2.2.1.</label><title>Baseline data</title>
<p>We extracted demographic and other baseline data from the electronic medical record including age, sex, height, weight, race, medications, cardiac pacemaker, and documented sport restrictions.</p>
</sec>
<sec id="s2b2"><label>2.2.2.</label><title>Bioimpedance assessment</title>
<p>Anthropometric data were measured by Bioimpedance assessment (BIA) (InBody370; InBody, Cerritos, CA, United States) immediately before the CPET, as previously described (<xref ref-type="bibr" rid="B5">5</xref>). Bioelectrical impedance analysis (BIA) is part of our local standard of care prior to CPET and is an alternative approach to measure body composition with good agreement to dual energy x-ray absorptiometry (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
</sec>
<sec id="s2b3"><label>2.2.3.</label><title>CPET</title>
<p>Exercise testing was performed on a stationary cycle ergometer (Corival; Lode; Groningen, The Netherlands) with an individualized incremental ramp protocol. The rate of increase was chosen by experienced clinical exercise physiologists based on the patient&#x0027;s body size and expected fitness, targeting an exercise duration of approximately 10&#x2005;min. Cardiopulmonary responses to exercise were assessed breath-by-breath (Ultima CardiO2; MGC Diagnostics; Saint Paul, MN, United States). Criteria for a maximal effort exercise test were that 2 of the following 3 criteria were met: respiratory exchange ratio &#x003E;1.10; maximal heart rate greater &#x003E;85&#x0025; of the age-predicted maximum (220 - age in years); or maximal Rating of Perceived Exertion &#x2265;18 on a 6&#x2013;20 scale (<xref ref-type="bibr" rid="B8">8</xref>). Predicted peak VO<sub>2</sub> was calculated per Wasserman et al. and Cooper et al. (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). In adult patients with a body mass index (BMI) &#x003C;18 and &#x003E;25, the underweight and overweight regression equations were used, respectively (<xref ref-type="bibr" rid="B9">9</xref>).</p>
</sec>
</sec>
<sec id="s2c"><label>2.3.</label><title>Statistics</title>
<p>Descriptive normally distributed data are presented as mean&#x2009;&#x00B1;&#x2009;standard deviation. Differences between serial tests for both the COVID-19 lockdown and historical control groups were assessed using a paired <italic>t</italic>-test. To determine if there was a difference in the baseline fitness testing of both the control and COVID groups, a 2-sided <italic>t</italic>-test was performed with each group&#x0027;s initial CPET results. All presented <italic>p</italic>-values are two-tailed (where applicable) and differences and associations were considered significant when <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Statistical analyses were performed using JMP&#x00AE;, Version 15 (SAS Institute Inc., Cary, NC).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<p>There were a total of 48 patients who underwent serial testing, with the first test performed within 12 months before and the second test performed within 12 months after the COVID-19 lockdown. There were 15 patients excluded (6 tested because of concern for clinical decompensation, 6 submaximal effort tests, 3 missing data). There were 33 remaining patients (mean age 15.3&#x2009;&#x00B1;&#x2009;3.4 years at the time of the first test; 46&#x0025; male) who were included in the analysis. Underlying cardiac diagnoses are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Primary diagnosis was related to electrophysiologic disease in 18 patients, while 15 had structural heart disease. Of note, 36&#x0025; (12/33) were restricted from sports before COVID-19 with the reason for sports restriction being concern about ventricular arrhythmia in 10 patients and severe left ventricular outflow tract obstruction in 2 patients. In the COVID group, 58&#x0025; (19/33) were prescribed beta-blockers. None had a cardiac pacemaker, had medication changes, or experienced unexpected arrhythmias during the test.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographic data for the young cardiology patients with serial cardiopulmonary exercise tests in the 12 months before and after the COVID-19 lockdown.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Overall sample size</th>
<th valign="top" align="center">33</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Sex</td>
<td valign="top" align="left">Male 16</td>
</tr>
<tr>
<td valign="top" align="left">Female 17</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Race</td>
<td valign="top" align="left">Caucasian 29</td>
</tr>
<tr>
<td valign="top" align="left">African-American 2</td>
</tr>
<tr>
<td valign="top" align="left">Asian 2</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Activity restriction</td>
<td valign="top" align="left">Yes 12</td>
</tr>
<tr>
<td valign="top" align="left">No 21</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Beta-blocker medication</td>
<td valign="top" align="left">Yes 19</td>
</tr>
<tr>
<td valign="top" align="left">No 14</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="10">Primary diagnosis</td>
<td valign="top" align="left">Long QT syndrome 15</td>
</tr>
<tr>
<td valign="top" align="left">Fontan circulation 4</td>
</tr>
<tr>
<td valign="top" align="left">Cardiomyopathy 4</td>
</tr>
<tr>
<td valign="top" align="left">CPVT 2</td>
</tr>
<tr>
<td valign="top" align="left">Double outlet right ventricle 2</td>
</tr>
<tr>
<td valign="top" align="left">Bicuspid aortic valve 2</td>
</tr>
<tr>
<td valign="top" align="left">D-TGA 1</td>
</tr>
<tr>
<td valign="top" align="left">PA/IVS 1</td>
</tr>
<tr>
<td valign="top" align="left">SVT with aborted cardiac arrest 1</td>
</tr>
<tr>
<td valign="top" align="left">Genotype positive, phenotype negative cardiomyopathy 1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>CPVT, catecholaminergic polymorphic ventricular tachycardia; D-TGA, complete transposition of the great arteries; PA/IVS, pulmonary atresia with intact ventricular septum; SVT, supraventricular tachycardia.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>There was no significant difference in sport restriction and beta-blocker usage between the post COVID-19 lockdown and historical control groups. No patients were diagnosed with COVID-19 prior to their exercise test.</p>
<p>In the COVID-19 lockdown group, the mean time between tests was 1.1 years, ranging from 0.6 to 1.5 years. There was an increase in weight (58.7&#x2009;&#x00B1;&#x2009;21.5&#x2013;63.9&#x2009;&#x00B1;&#x2009;22&#x2005;kg, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), skeletal muscle mass (24.1&#x2009;&#x00B1;&#x2009;9.2&#x2013;25.9&#x2009;&#x00B1;&#x2009;9.1&#x2005;kg, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), and body fat percentage (22.7&#x2009;&#x00B1;&#x2009;9.4&#x2013;24.7&#x2009;&#x00B1;&#x2009;10.4&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.04) without significant change in height (165.5&#x2009;&#x00B1;&#x2009;16.4&#x2013;167&#x2005;cm&#x2009;&#x00B1;&#x2009;14.2&#x2005;cm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.1) or body mass index (21.7&#x2009;&#x00B1;&#x2009;4.8 vs. 22.5&#x2009;&#x00B1;&#x2009;5.5&#x2005;kg/m<sup>2</sup>, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.2) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Results of serial testing of anthropometric data as measured by bioimpedance analysis and cardiopulmonary exercise testing in 33 pediatric and congenital heart disease patients before and during the COVID-19 lockdown.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Test 1</th>
<th valign="top" align="left">Test 2</th>
<th valign="top" align="left"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">15.3&#x2009;&#x00B1;&#x2009;3.4</td>
<td valign="top" align="center">16.4&#x2009;&#x00B1;&#x2009;3.3</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="center">165.5&#x2009;&#x00B1;&#x2009;16.4</td>
<td valign="top" align="center">167&#x2009;&#x00B1;&#x2009;14.2</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="center">58.7&#x2009;&#x00B1;&#x2009;21.5</td>
<td valign="top" align="center">63.9&#x2009;&#x00B1;&#x2009;22.0</td>
<td valign="top" align="center">&#x003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">21.7&#x2009;&#x00B1;&#x2009;4.8</td>
<td valign="top" align="center">22.5&#x2009;&#x00B1;&#x2009;5.5</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Skeletal muscle mass (kg)</td>
<td valign="top" align="center">24.1&#x2009;&#x00B1;&#x2009;9.2</td>
<td valign="top" align="center">25.9&#x2009;&#x00B1;&#x2009;9.1</td>
<td valign="top" align="center">&#x003C;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Body fat (&#x0025;)</td>
<td valign="top" align="center">22.7&#x2009;&#x00B1;&#x2009;9.4</td>
<td valign="top" align="center">24.7&#x2009;&#x00B1;&#x2009;10.4</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory exchange ratio</td>
<td valign="top" align="center">1.2&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">1.3&#x2009;&#x00B1;&#x2009;0.1</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Work (watts)</td>
<td valign="top" align="center">155.1&#x2009;&#x00B1;&#x2009;67.6</td>
<td valign="top" align="center">155.1&#x2009;&#x00B1;&#x2009;63.9</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">Peak HR (&#x0025; predicted)</td>
<td valign="top" align="center">79.7&#x2009;&#x00B1;&#x2009;11.9</td>
<td valign="top" align="center">76.8&#x2009;&#x00B1;&#x2009;12.6</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Peak VO<sub>2</sub> (ml/min)</td>
<td valign="top" align="center">1,833&#x2009;&#x00B1;&#x2009;785</td>
<td valign="top" align="center">1,958&#x2009;&#x00B1;&#x2009;836</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Peak VO<sub>2</sub> (ml/kg/min)</td>
<td valign="top" align="center">31.2&#x2009;&#x00B1;&#x2009;7.5</td>
<td valign="top" align="center">31.1&#x2009;&#x00B1;&#x2009;8.9</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">Percent predicted peak VO<sub>2</sub> (&#x0025;)</td>
<td valign="top" align="center">78.6&#x2009;&#x00B1;&#x2009;13.1</td>
<td valign="top" align="center">79.3&#x2009;&#x00B1;&#x2009;16.9</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Ventilatory anaerobic threshold (&#x0025;)</td>
<td valign="top" align="center">54.9&#x2009;&#x00B1;&#x2009;12.9</td>
<td valign="top" align="center">52.1&#x2009;&#x00B1;&#x2009;12.9</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">Peak systolic blood pressure (mmHg)</td>
<td valign="top" align="center">160.2&#x2009;&#x00B1;&#x2009;26.3</td>
<td valign="top" align="center">159.9&#x2009;&#x00B1;&#x2009;23.9</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">Peak SpO<sub>2</sub> (&#x0025;)</td>
<td valign="top" align="center">99.7&#x2009;&#x00B1;&#x2009;0.8</td>
<td valign="top" align="center">99.5&#x2009;&#x00B1;&#x2009;1.0</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">VE/VCO<sub>2</sub> slope</td>
<td valign="top" align="center">31.7&#x2009;&#x00B1;&#x2009;4.9</td>
<td valign="top" align="center">30.5&#x2009;&#x00B1;&#x2009;7.5</td>
<td valign="top" align="center">0.3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>Data are presented as mean&#x2009;&#x00B1;&#x2009;SD. A paired <italic>t</italic>-test was performed to determine differences between paired data. A <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05 was considered significant.</p></fn>
<fn id="table-fn3"><p>Cm, centimeters; kg, kilogram; m, meters; BMI, body mass index; HR, heart rate; VO<sub>2</sub>, oxygen consumption; SpO<sub>2</sub>, oxygen saturation measured <italic>via</italic> pulse oximeter; VE/VCO<sub>2</sub> slope, minute ventilation/carbon dioxide production slope.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>There was an increase in absolute peak VO<sub>2</sub> (1,832.9&#x2009;&#x00B1;&#x2009;784.8&#x2013;1,958.2&#x2009;&#x00B1;&#x2009;835.9 ml/min, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.03), but no change in peak VO<sub>2</sub> when expressed as a percent of predicted values or when indexed to body mass (78.6&#x2009;&#x00B1;&#x2009;13.1&#x2013;79.3&#x2009;&#x00B1;&#x2009;16.9&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.8; 31.2&#x2009;&#x00B1;&#x2009;7.5&#x2013;31.1&#x2009;&#x00B1;&#x2009;8.9&#x2005;ml/kg/min, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.9). There was no significant change between tests in any of the other exercise variables (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<p>When further evaluating the COVID-19 lockdown group, body composition and CPET differences by sex are provided in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. Of note, male patients had an increase in weight (68.9&#x2009;&#x00B1;&#x2009;24&#x2013;74.6&#x2009;&#x00B1;&#x2009;24.2&#x2005;kg, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02) and skeletal muscle mass (29.5&#x2009;&#x00B1;&#x2009;9.1&#x2013;32.7&#x2009;&#x00B1;&#x2009;8.3&#x2005;kg, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.002) without a significant change in adiposity (18.9&#x2009;&#x00B1;&#x2009;10&#x2013;18.8&#x2009;&#x00B1;&#x2009;9.5&#x0025; body fat, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.8) or height (176.1&#x2009;&#x00B1;&#x2009;12.2&#x2013;176.4&#x2005;cm&#x2009;&#x00B1;&#x2009;11.9&#x2005;cm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.9). Female patients had an increase in height (155.4&#x2009;&#x00B1;&#x2009;13.3&#x2013;158.2&#x2005;cm&#x2009;&#x00B1;&#x2009;10.2&#x2005;cm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.008), weight (49&#x2009;&#x00B1;&#x2009;13.253.8&#x2009;&#x00B1;&#x2009;14&#x2005;kg, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), skeletal muscle mass (18.7&#x2009;&#x00B1;&#x2009;5.4&#x2013;19.8&#x2009;&#x00B1;&#x2009;4.2&#x2005;kg, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.005), and body fat (26.4&#x2009;&#x00B1;&#x2009;7.3&#x2013;29.8&#x2009;&#x00B1;&#x2009;8.4&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.03). Male patients had a significant difference between absolute peak VO<sub>2</sub> but not peak VO<sub>2</sub> indexed to weight or as a percent of predicted values. There were no other significant differences based on sex.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Differences in anthropometric and exercise testing data by sex in the pediatric and congenital heart disease patients tested before and during the COVID-19 lockdown.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Male (<italic>n</italic>&#x2009;&#x003D;&#x2009;16)</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="left">Female (<italic>n</italic>&#x2009;&#x003D;&#x2009;17)</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Test 1</th>
<th valign="top" align="left">Test 2</th>
<th valign="top" align="left"><italic>p</italic>-value</th>
<th valign="top" align="left"/>
<th valign="top" align="left">Test 1</th>
<th valign="top" align="left">Test 2</th>
<th valign="top" align="left"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">16.5&#x2009;&#x00B1;&#x2009;3.4</td>
<td valign="top" align="center">17.6&#x2009;&#x00B1;&#x2009;3.3</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">14.2&#x2009;&#x00B1;&#x2009;3.0</td>
<td valign="top" align="center">15.3&#x2009;&#x00B1;&#x2009;3.0</td>
<td valign="top" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="top" align="left">176.1&#x2009;&#x00B1;&#x2009;12.2</td>
<td valign="top" align="center">176.4&#x2009;&#x00B1;&#x2009;11.9</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="center">155.4&#x2009;&#x00B1;&#x2009;13.3</td>
<td valign="top" align="center">158.2&#x2009;&#x00B1;&#x2009;10.2</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">68.9&#x2009;&#x00B1;&#x2009;24.1</td>
<td valign="top" align="center">74.6&#x2009;&#x00B1;&#x2009;24.2</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="center">49&#x2009;&#x00B1;&#x2009;13.2</td>
<td valign="top" align="center">53.8&#x2009;&#x00B1;&#x2009;14.0</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">22.9&#x2009;&#x00B1;&#x2009;6.0</td>
<td valign="top" align="center">23.1&#x2009;&#x00B1;&#x2009;6.1</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">20.5&#x2009;&#x00B1;&#x2009;3.1</td>
<td valign="top" align="center">22&#x2009;&#x00B1;&#x2009;4.9</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">29.5&#x2009;&#x00B1;&#x2009;9.1</td>
<td valign="top" align="center">32.7&#x2009;&#x00B1;&#x2009;8.3</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="left">SMM (kg)</td>
<td valign="top" align="center">18.7&#x2009;&#x00B1;&#x2009;5.4</td>
<td valign="top" align="center">19.8&#x2009;&#x00B1;&#x2009;4.2</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">18.9&#x2009;&#x00B1;&#x2009;10.0</td>
<td valign="top" align="center">18.8&#x2009;&#x00B1;&#x2009;9.5</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="left">Body fat (&#x0025;)</td>
<td valign="top" align="center">26.4&#x2009;&#x00B1;&#x2009;7.3</td>
<td valign="top" align="center">29.8&#x2009;&#x00B1;&#x2009;8.4</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">1.3&#x2009;&#x00B1;&#x2009;0.10</td>
<td valign="top" align="center">1.3&#x2009;&#x00B1;&#x2009;0.10</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="left">RER</td>
<td valign="top" align="center">1.2&#x2009;&#x00B1;&#x2009;0.08</td>
<td valign="top" align="center">1.3&#x2009;&#x00B1;&#x2009;0.10</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">202.7&#x2009;&#x00B1;&#x2009;65.8</td>
<td valign="top" align="center">201.7&#x2009;&#x00B1;&#x2009;60.9</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="left">Work (watts)</td>
<td valign="top" align="center">110.2&#x2009;&#x00B1;&#x2009;26.2</td>
<td valign="top" align="center">111.2&#x2009;&#x00B1;&#x2009;21.2</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">81.4&#x2009;&#x00B1;&#x2009;11.8</td>
<td valign="top" align="center">75.9&#x2009;&#x00B1;&#x2009;14.3</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="left">Peak HR (&#x0025; pred)</td>
<td valign="top" align="center">78&#x2009;&#x00B1;&#x2009;12.2</td>
<td valign="top" align="center">77.6&#x2009;&#x00B1;&#x2009;11.2</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">2,375&#x2009;&#x00B1;&#x2009;757</td>
<td valign="top" align="center">2,567&#x2009;&#x00B1;&#x2009;768</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="left">Peak VO<sub>2</sub> (ml/min)</td>
<td valign="top" align="center">1,323&#x2009;&#x00B1;&#x2009;354</td>
<td valign="top" align="center">1,385&#x2009;&#x00B1;&#x2009;352</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">35.3&#x2009;&#x00B1;&#x2009;8.5</td>
<td valign="top" align="center">36.0&#x2009;&#x00B1;&#x2009;8.2</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="left">Peak VO<sub>2</sub> (ml/kg/min)</td>
<td valign="top" align="center">27.3&#x2009;&#x00B1;&#x2009;3.5</td>
<td valign="top" align="center">26.4&#x2009;&#x00B1;&#x2009;6.8</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left">79.4&#x2009;&#x00B1;&#x2009;16.3</td>
<td valign="top" align="center">81.4&#x2009;&#x00B1;&#x2009;15.5</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="left">Peak VO<sub>2</sub> (&#x0025; pred)</td>
<td valign="top" align="center">77.8&#x2009;&#x00B1;&#x2009;9.7</td>
<td valign="top" align="center">77.4&#x2009;&#x00B1;&#x2009;18.4</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">55.1&#x2009;&#x00B1;&#x2009;15.7</td>
<td valign="top" align="center">51.5&#x2009;&#x00B1;&#x2009;12.9</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="left">VAT (&#x0025;)</td>
<td valign="top" align="center">54.8&#x2009;&#x00B1;&#x2009;10.6</td>
<td valign="top" align="center">52.8&#x2009;&#x00B1;&#x2009;13.3</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">170.0&#x2009;&#x00B1;&#x2009;26.7</td>
<td valign="top" align="center">169.4&#x2009;&#x00B1;&#x2009;25.8</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="left">Peak SBP (mmHg)</td>
<td valign="top" align="center">151.1&#x2009;&#x00B1;&#x2009;23.0</td>
<td valign="top" align="center">150.9&#x2009;&#x00B1;&#x2009;18.5</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">99.8&#x2009;&#x00B1;&#x2009;0.5</td>
<td valign="top" align="center">99.9&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="left">Peak SpO<sub>2</sub> (&#x0025;)</td>
<td valign="top" align="center">99.7&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">99.1&#x2009;&#x00B1;&#x2009;1.3</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">31.2&#x2009;&#x00B1;&#x2009;4.3</td>
<td valign="top" align="center">28.4&#x2009;&#x00B1;&#x2009;5.6</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="left">VE/VCO<sub>2</sub> slope</td>
<td valign="top" align="center">32.0&#x2009;&#x00B1;&#x2009;5.4</td>
<td valign="top" align="center">32.3&#x2009;&#x00B1;&#x2009;8.5</td>
<td valign="top" align="center">0.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><p>Data are presented as mean&#x2009;&#x00B1;&#x2009;SD. A paired <italic>t</italic>-test was performed to determine differences between paired data. A <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05 was considered significant.</p></fn>
<fn id="table-fn5"><p>cm, centimeters; kg, kilogram; m, meters; BMI, body mass index; SMM, skeletal muscle mass; HR, heart rate; VO<sub>2</sub>, oxygen consumption; &#x0025; pred, percent predicted; VAT, ventilatory anaerobic threshold; SBP, systolic blood pressure; SpO<sub>2</sub>, oxygen saturation measured <italic>via</italic> pulse oximeter; VE/VCO<sub>2</sub> slope, minute ventilation/carbon dioxide production slope.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>When comparing with the cohort that had testing in the years prior to the COVID-19 pandemic (historical control) (<italic>N</italic>&#x2009;&#x003D;&#x2009;65; mean age 14.9&#x2009;&#x00B1;&#x2009;3.3 years at the first test; 49&#x0025; male), there was no difference in the sex, diagnoses, age, or size between groups. On comparing baseline CPET results between the COVID-19 lockdown and historical control groups, there were no significant differences in any of the CPET parameters studied. In the historical control group, there was no significant change in absolute peak VO<sub>2</sub> (1,826.8&#x2009;&#x00B1;&#x2009;696.8&#x2013;1,866.7&#x2009;&#x00B1;&#x2009;655.6&#x2005;ml/min, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.4) or percent predicted peak VO<sub>2</sub> (78.3&#x2009;&#x00B1;&#x2009;15.3&#x2013;75.9&#x2009;&#x00B1;&#x2009;17.7&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.2), though there was a decrease in peak heart rate (82.1&#x2009;&#x00B1;&#x2009;11.4&#x2013;78.1&#x2009;&#x00B1;&#x2009;14.0&#x0025;, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The ventilatory anaerobic threshold was lower on serial testing in the cohort with testing before the pandemic (54.3&#x2009;&#x00B1;&#x2009;13.2&#x2013;50.9&#x2009;&#x00B1;&#x2009;14.6, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02) (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
<sec id="s3a"><label>3.1.</label><title>Sensitivity analysis</title>
<p>Excluding the 12 patients with pre-existing activity restrictions, the remaining 21 patients in the COVID lockdown group also experienced no change in percent predicted peak VO<sub>2</sub>. There was no significant change in the percent predicted peak VO<sub>2</sub> between tests, although the absolute values trended towards abnormal in both the activity restricted (77.2&#x2009;&#x00B1;&#x2009;8.3&#x2013;76.8&#x2009;&#x00B1;&#x2009;15.1&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.9) and not restricted (79.4&#x2009;&#x00B1;&#x2009;15.4&#x2013;80.8&#x2009;&#x00B1;&#x2009;18.1&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.7) groups. Skeletal muscle mass increased in both those who did and did not have an activity restriction, but those who were restricted had a smaller increase (restricted 24.7&#x2009;&#x00B1;&#x2009;7.9&#x2013;26.5&#x2009;&#x00B1;&#x2009;7.4&#x2005;kg, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.02; not restricted 23.7&#x2009;&#x00B1;&#x2009;10.1&#x2013;26.3&#x2009;&#x00B1;&#x2009;10.2&#x2005;kg, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.0006). Neither group had a significant increase in body fat percentage &#x003E;2&#x0025; (restricted 24.3&#x2009;&#x00B1;&#x2009;7.9&#x2013;26.3&#x2009;&#x00B1;&#x2009;9.3&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.3; not restricted 21.7&#x2009;&#x00B1;&#x2009;10.3&#x2013;23.7&#x2009;&#x00B1;&#x2009;11.1&#x0025;, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.07).</p>
<p>Results were similar after excluding the 7 patients in the COVID lockdown group who were &#x003E;18 years old at the initial test (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>). The 7 patients &#x003E;18 years old had a significant decrease in total work (221.4&#x2009;&#x00B1;&#x2009;47.1&#x2013;207.3&#x2009;&#x00B1;&#x2009;49.4 watts, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.04), but there was no change in other CPET variables. When removing patients with a peak VO<sub>2</sub>&#x2009;&#x003C;&#x2009;80&#x0025;, there remained no difference in percent predicted peak VO<sub>2</sub> in those with more normal fitness (89.6&#x2009;&#x00B1;&#x2009;11.2 vs. 89.3&#x2009;&#x00B1;&#x2009;16.4, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.9). Lastly, the groups with a primary electrophysiologic diagnosis were also similar to those with a structural heart disease diagnosis in terms of change in percent predicted peak VO<sub>2</sub>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>Findings from this observational study revealed no significant change in the aerobic capacity or body composition, beyond those associated with puberty, from before to after the COVID-19 pandemic and related societal lockdown. This is notable, as there has previously been concern that COVID mitigation could affect exercise habits in this population (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B11">11</xref>). There were no differences in fitness when comparing serial testing separated by either sex, activity restriction, or in the matched paired historical control group. There were changes in body composition seen between tests, but this was likely secondary to normal pubertal maturation in a largely pediatric cohort.</p>
<p>There have been reports of decreased physical activity related to COVID-19 mitigation strategies both in healthy children and in those with heart disease (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Whether or not our cohort engaged in less physical activity is unknown, but their objective measures of fitness did not change, which is the opposite of what was reported by Burstein DS et al. (<xref ref-type="bibr" rid="B4">4</xref>). This may mean many of the patients were already deconditioned at the time of the initial CPET, as evidenced by an average peak VO<sub>2</sub> of &#x223C;78&#x0025; of predicted, compared to &#x223C;96&#x0025; in the Burstein DS et al. cohort (<xref ref-type="bibr" rid="B4">4</xref>). Additionally, the lack of change in fitness may be secondary to pre-existing activity restrictions applied by the patients&#x0027; medical teams, although the lack of change in VO<sub>2</sub> in those not activity restricted argues against this. Lastly, this may mean that the introduction of lockdown measures did not alter their physical activity as they were already sedentary and deconditioned, which is not unusual for a typical congenital heart disease cohort. Prior to COVID-19, youth with congenital heart disease were shown to be more sedentary than their peers (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Thus, the introduction of lockdown measures may not have resulted in a significant change in their physical activity levels. This is further supported by the lack of change in the already low peak VO<sub>2</sub> on serial testing in the pre-COVID control group.</p>
<p>This study continues to highlight the need to encourage physical activity in youth with congenital heart disease. While the absence of direct negative effects from the lockdown on fitness in children with heart disease is reassuring, this population, both in our cohort and others, has been shown to be significantly deconditioned (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). This is meaningful, since decreased peak VO<sub>2</sub> has both negative prognostic and functional implications (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). Recreational and competitive activities should be encouraged in this population with an eye towards the risk: benefit calculation, balancing the concerns for sudden cardiac arrest during athletics, and the long-term morbidity and mortality that arises from sedentary behaviors. For individuals so severely deconditioned that participation in organized sports would be impractical, exercise prescription and structured cardiac rehabilitation should be encouraged to improve cardiopulmonary fitness (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>While this study focused on evaluating the effect of COVID-19 mitigation strategies on the body composition of children and young adults with heart disease, body composition changed during the study period in a pattern that is likely consistent with normal pubertal changes (<xref ref-type="bibr" rid="B21">21</xref>). Increase in both skeletal muscle mass and body fat percentage results in an increase in total weight in a pubertal population, which was seen in our cohort. The increase in the total weight for the males was largely driven by increases in skeletal muscle mass while the increase in weight for the females was largely due to increased adiposity; this is in keeping with typical sex-specific pubertal body composition changes (<xref ref-type="bibr" rid="B21">21</xref>). These changes remained when the 7 patients older than 18 years-old were removed from the analysis, again supporting expected somatic growth as the likely explanation. The lack of significant change in predicted peak VO<sub>2</sub> in this cohort further supports that these body composition changes were most likely related to normal, expected growth. Unfortunately, secondary to the retrospective design of this study we do not have specific information on the exact pubertal stage of these patients. This should be taken into account for future pediatric studies involving serial body composition measurements.</p>
<p>There were other limitations to this analysis. The available sample size limits statistical power, and a subset of the null findings may represent false negative findings, particularly those with a small effect size. The comparison group lacked body composition data, as the InBody Bioimpedance scale was not widely used in our laboratory until early 2019; thus it is unknown if the changes in body composition in the study cohort is reproduced in the age, sex, and diagnosis-matched cohort. Additionally, questions on specific exercise habits and sports participation are not routinely asked by all of the providers in our hospital. Additional sampling bias may also exist secondary to the retrospective design of the study.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5.</label><title>Conclusion</title>
<p>The COVID-19 pandemic and related lifestyle changes do not appear to have had an substantial negative impact on aerobic fitness in children and young adults with heart disease. While this is largely reassuring, these finding may be in part related to pre-existing chronic deconditioning, pre-limited participation in organized sport, or sampling bias.</p>
</sec>
</body>
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<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Cincinnati Children&#x0027;s Hospital IRB. Written informed consent from the participants&#x2019; legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements. Written informed consent was not obtained from the minor(s)&#x2019; legal guardian/next of kin for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8"><title>Author contributions</title>
<p>All authors had full control of the design of the study, methods used, outcome parameters, analysis of data, and production of the written report.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>Drs Powell and Opotowsky were supported by the Cincinnati Children&#x2019;s Hospital Heart Institute Research Core (HIRC).</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors would like to thank the Exercise Laboratory staff at Cincinnati Children&#x0027;s Hospital for their fantastic work and dedication to our patients during the COVID-19 pandemic.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The handling editor [DAW] declared a past co-authorship with the author(s) [AWP, WAM, SGW, ARO, SKK].</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2023.1088972/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2023.1088972/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/></supplementary-material>
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<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table2.docx"/></supplementary-material>
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