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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2021.773788</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictors of Prolonged Cardiopulmonary Exercise Impairment After COVID-19 Infection: A Prospective Observational Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vonbank</surname> <given-names>Karin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1126663/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lehmann</surname> <given-names>Antje</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Bernitzky</surname> <given-names>Dominik</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gysan</surname> <given-names>Maximilian Robert</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Simon</surname> <given-names>Stefan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Schrott</surname> <given-names>Andrea</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Burtscher</surname> <given-names>Martin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/267186/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Idzko</surname> <given-names>Marco</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/398101/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gompelmann</surname> <given-names>Daniela</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pulmonary Medicine, Medical University of Vienna</institution>, <addr-line>Vienna</addr-line>, <country>Austria</country></aff>
<aff id="aff2"><sup>2</sup><institution>StatistikAmbulanz</institution>, <addr-line>Leobendorf</addr-line>, <country>Austria</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Sport Science, University of Innsbruck</institution>, <addr-line>Innsbruck</addr-line>, <country>Austria</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Laurent Pierre Nicod, University of Lausanne, Switzerland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Barbara Ruaro, University of Trieste, Italy; Ross Summer, Thomas Jefferson University Hospital, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Karin Vonbank <email>Karin.vonbank&#x00040;meduniwien.ac.at</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>773788</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Vonbank, Lehmann, Bernitzky, Gysan, Simon, Schrott, Burtscher, Idzko and Gompelmann.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Vonbank, Lehmann, Bernitzky, Gysan, Simon, Schrott, Burtscher, Idzko and Gompelmann</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Objectives:</bold> Coronavirus disease 2019 (COVID-19) is a global pandemic affecting individuals to varying degrees. There is emerging evidence that even patients with mild symptoms will suffer from prolonged physical impairment.</p>
<p><bold>Methods:</bold> In this prospective observational study, lung function, and cardiopulmonary exercise testing have been performed in 100 patients for 3&#x02013;6 months after COVID-19 diagnosis (post-CoVG). Depending on the severity of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, patients were divided into asymptomatic, or mild to moderate (mild post-CoVG), and severe post-CoVG [hospitalization with or without intensive care unit/non-invasive ventilation (ICU/NIV)]. Results have been compared with age, sex, and body mass index (BMI) matched control group (CG, <italic>N</italic> = 50).</p>
<p><bold>Results:</bold> Both lung function (resting) and exercise capacity (peak workload, Wpeak and peak oxygen uptake, VO<sub>2</sub> peak - % predicted) were considerably affected in patients with severe post-CoV (81.7 &#x000B1; 27.6 and 86.1 &#x000B1; 20.6%), compared to the mild post-CoVG (104.8 &#x000B1; 24.0%, <italic>p</italic> = 0.001 and 100.4 &#x000B1; 24.8; <italic>p</italic> = 0.003). In addition, also the submaximal exercise performance was significantly reduced in the severe post-CoVG (predicted VT1/VO<sub>2</sub> peak; <italic>p</italic> = 0.013 and VT2/VO<sub>2</sub> peak; <italic>p</italic> = 0.001). Multiple linear regression analyses revealed that 74 % (adjusted <italic>R</italic><sup>2</sup>) of the variance in relative VO<sub>2</sub> peak of patients who had CoV could be explained by the following variables: lower age, male sex, lower BMI, higher DLCO, higher predicted heart rate (HR) peak, lower breathing reserve (BR), and lower SaO<sub>2</sub> peak, which were related to higher relative VO<sub>2</sub> peak values. Higher NT-proBNP and lower creatinine kinase (CK) values were seen in severe cases compared to patients who experienced mild CoV.</p>
<p><bold>Discussion:</bold> Maximal and submaximal exercise performance in patients recovering from severe COVID-19 remain negatively affected for 3&#x02013;6 months after COVID-19 diagnosis. The presented findings reveal that impaired pulmonary, cardiac, and skeletal muscle function contributed to the limitation of VO<sub>2</sub> peak in those patients, which may have important implications on rehabilitation programs.</p></abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>exercise limitation</kwd>
<kwd>oxygen uptake</kwd>
<kwd>CPET</kwd>
<kwd>exercise capacity</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="9"/>
<word-count count="5786"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Coronavirus disease 2019 (COVID-19) is a global pandemic affecting individuals to varying degrees, ranging from few days of mild symptoms to respiratory distress requiring intensive care unit (ICU) treatment, including ventilation support and death (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Most acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infections are mild to moderate (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>), but pneumonia progressing to acute respiratory failure is associated with significant morbidity and even mortality (<xref ref-type="bibr" rid="B6">6</xref>). The use of a minimum set of common outcome measures for COVID-19 studies (measurements of viral burden of patient survival and of patient progression) have been recommended by the International Forum for Acute Care Trialists, and the International Severe Acute Respiratory and Emerging Infections Consortium (<xref ref-type="bibr" rid="B7">7</xref>). It has been suggested that even patients with mild symptoms can suffer from prolonged physical impairment and reduced quality of life (QoL) (<xref ref-type="bibr" rid="B8">8</xref>). Although COVID-19 is a novel disease, there have been previous outbreaks of SARS-CoV, where deficits in cardiorespiratory and musculoskeletal performance (e.g., in the 6-min walking test, 6-MWT, and/or handheld dynamometry for major muscle groups), but also a reduced QoL was demonstrated in a cohort study of 171 SARS survivors (<xref ref-type="bibr" rid="B9">9</xref>). Besides the pulmonary involvement (<xref ref-type="bibr" rid="B10">10</xref>), there are increasing reports of non-pulmonary manifestations in patients with COVID-19, such as musculoskeletal abnormalities with pain and weakness in lower limbs (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>), elevated creatinine kinase (CK), and lactate dehydrogenase (LDH) (<xref ref-type="bibr" rid="B12">12</xref>). Respiratory muscle&#x00027;s weakness and with higher ventilatory demands were reported even in patients recovering from mild COVID-19 symptoms (<xref ref-type="bibr" rid="B14">14</xref>). Moreover, cardiac complications like myocarditis may be the consequence of direct viral injury or cardiac damage due to the host&#x00027;s immune response (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>). These findings let us hypothesize that the majority of the patients with COVID-19 will present reduced exercise capacity and abnormal responses to cardiopulmonary exercise testing (CPET), even a few months after disease onset. Thus, the aims of this prospective study were (1) to assess exercise capacity and cardiopulmonary responses to CPET, and (2) to evaluate potentially limiting factors of aerobic exercise capacity in adult patients who had COVID-19 for 3&#x02013;6 months after confirmation of infection.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Subjects</title>
<p>A total of 100 adult patients were enrolled in this prospective trial (between April 2020 and February 2021) at the Department of Pulmonology of the Medical University of Vienna. Included patients were those who recovered from asymptomatic or symptomatic COVID-19, confirmed by a positive reverse transcriptase PCR SARS-CoV-2 test obtained from a nasopharyngeal or oropharyngeal swab, and formed the post-COVID group (post-CoVG). For comparison purposes, an age/sex/body mass index (BMI)-matched control group (CG, <italic>n</italic> = 50) was established from a collective history of healthy individuals at the cardiorespiratory laboratory (tested between 2018 and 2020).</p>
<p>After clinical routine examinations, patients were subjected to lung function testing, blood tests with determination of NT &#x02013; pro brain natriuretic peptide (NT-proBNP) concentration, as well as CK activity, symptom-limited CPET with analysis of gas exchange, blood gases, and lactate kinetics. Depending on the severity of SARS-CoV2 infection, patients were divided into two groups: asymptomatic or mild to moderate (mild post-CoVG) and severe post-CoVG [hospitalization with or without ICU/non-invasive ventilation (NIV)].</p>
<p>The study protocol was approved by the Ethics committee of the Medical University of Vienna (EC-1551/2020). All patients signed a written informed consent at the time of enrolment.</p>
</sec>
<sec>
<title>Pulmonary Lung Function Test</title>
<p>Lung function was assessed by the use of body plethysmography and spirometry.</p>
<p>Predicted normal values were derived from the reference values in accordance with current recommendations (<xref ref-type="bibr" rid="B16">16</xref>). The following resting pulmonary function parameters were determined: vital and forced vital capacity (VC and FVC), forced expiratory volume in one second (FEV1), FEV1/FVC, total lung capacity (TLC), and residual volume (RV). Diffusing capacity for carbon monoxide (DLCO) and the CO transfer factor (KCO, DLCO/VA) were measured by single-breath technique. Results were expressed as absolute values and as percent of predicted values. Each value represents the best of at least three measurements. Spirometry and whole-body plethysmography, including DLCO, were performed with the Master Screen Body (FA Reiner/Viasys, Carefusion, Austria).</p>
</sec>
<sec>
<title>Cardiopulmonary Exercise Test</title>
<p>All participants underwent a symptom-limited CPET on an Ergoline 800 bicycle (Sensormedics, United States) with respiratory gas-exchange analysis, using a step protocol with progressive increase in workload every minute according to a total exercise time between 8 and 12 min. The increment was adapted to the expected maximum working capacity. Patients were encouraged to exercise until exhaustion. A cycling frequency of 60&#x02013;80 revolutions per minute (rpm) had to be maintained. Patients were encouraged to exercise until exhaustion. The test was stopped when the subject failed to maintain a pedal frequency of at least 60 rpm. Blood pressure was measured every 2 min and a continuous 12-lead electrocardiogram and peripheral oxygen saturation (SpO<sub>2</sub>) were recorded. Breath-by-breath minute ventilation (VE), carbon dioxide output (VCO<sub>2</sub>), and oxygen uptake (VO<sub>2</sub>) were measured using the Sensormedics 2900 Metabolic Measurement Cart (Carefusion GmbH, H&#x000F6;chberg, Germany). The respiratory exchange ratio (RER) was defined as VCO<sub>2</sub>/VO<sub>2</sub>, the oxygen pulse was calculated by VO<sub>2</sub>/heart rate, the ventilatory equivalent for oxygen uptake (VE/VO<sub>2</sub>), and the ventilatory equivalent for carbon dioxide production (VE/VCO<sub>2</sub>) were calculated. The VT1 was determined using the V-slope method, double-checked by establishing the nadir of VE/VO<sub>2</sub> vs. work rate relationship. On the other hand, VT2 was determined using the point of increase of the VE vs. VCO<sub>2</sub>, double-checked by establishing the nadir of VE/VCO<sub>2</sub> versus work rate relationship. Blood lactate (La) was measured at rest and every 2 min, at maximum exercise, as well as 1, 3, and 5 min of recovery time (BIOSEN-S-line, EKF diagnostic Leupamed, Austria). Blood gas analysis was performed at rest, at VT1, and at peak exercise (ABL800 Flex, Drott Medizintechnik GmbH, Austria). Maximum voluntary ventilation (MVV) was calculated as FEV1 multiplied by 35. Breathing reserve (BR) was calculated as VEpeak/MVV<sup>&#x0002A;</sup>100.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analyses were performed by IBM SPSS version 26.0 (IBM SPSS Statistics for Windows, Chicago, IL, USA). Normal distribution of data was verified by the Kolmogorov-Smirnov test and also by Shapiro-Wilk test. After a descriptive data analysis (number of cases and percent for categorial data and mean, SD, and range for continuous data), between CG and post-CoVG group differences in baseline characteristics, as well as between mild and severe post-CoVG, were analyzed using Student <italic>t</italic>-tests for normally distributed data, with homogeneous or heterogeneous variances; Mann-Whitney U-test was used for abnormally distributed data and for categorical data, Fisher&#x00027;s exact test was used for 2 x 2-crosstabs; Pearson&#x00027;s <italic>X</italic><sup>2</sup>-test for larger crosstabs. Group differences between CG, mild and severe post-CoVG, were tested via analysis of variances (ANOVA) whenever normal distribution and homogeneity of variances and covariances were given, in case of significant group effect followed by Games-Howell <italic>post-hoc</italic> tests (because of unequal sample size and unequal standard deviation). For all the data where necessary conditions for ANOVA were not met, Kruskal-Wallis-Tests were calculated, in case of a significant group effect followed by pairwise Mann-Whitney U-tests (&#x003B1;-corrected by Bonferroni-Holm). Multiple linear regression (backward) was applied for VO<sub>2</sub> peak (ml/kg/min) as dependent variable, using age, male sex, BMI, FEV1 (%), DLCO (%), Hrpeak (% of predicted, Tanaka), BR %, peak SpO<sub>2</sub> (%), and % change of O<sub>2</sub> pulse from VT1 to VO<sub>2</sub> peak as potential predictors as those parameters showed significant group differences in previous univariate analyses. A two-sided level of significance of <italic>p</italic> = 0.05 was set.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Baseline Characteristics</title>
<p>Baseline characteristics of the post-CoVG and the CG are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The total study cohort consisted of 47.3% female and 52.7 % male individuals. The mean age of the total cohort was 46.8 (13.2) years; 46.4 (13.7) years in the CG, and 47 (<xref ref-type="bibr" rid="B13">13</xref>) in the post-CoVG. No significant differences were found between those groups regarding mean age, age group distribution, mean weight, mean BMI, and the frequency of comorbidities. More patients of the post-CoVG have reported allergies compared to the CG (26 vs. 10%, <italic>p</italic> = 0.031), whereas more active smokers were found in the CG (20 vs. 9%, <italic>p</italic> = 0.038). No significant differences have been detected concerning medication use, except for angiotensin converting enzyme (ACE) blockers (more frequent in the post-CoVG; 9 vs. 0%, <italic>p</italic> = 0.030). The median time from the diagnosis of COVID-19, as defined by positive SARS-CoV-2PCR testing, was 16 weeks.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Total sample</bold></th>
<th valign="top" align="center"><bold>CG</bold></th>
<th valign="top" align="center"><bold>PostCG</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Participants, <italic>n</italic></td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">100</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (yrs), mean (SD) [range]</td>
<td valign="top" align="center">46.8 (13.2) [18&#x02013;69]</td>
<td valign="top" align="center">46.4 (13.7) [18&#x02013;68]</td>
<td valign="top" align="center">47.0 (13.0) [19&#x02013;69]</td>
<td valign="top" align="center">0.797<xref ref-type="table-fn" rid="TN1"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Age group (yrs), <italic>n</italic> (%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; 20&#x02013; &#x0003C;30</td>
<td valign="top" align="center">21 (14.0)</td>
<td valign="top" align="center">8 (16.0)</td>
<td valign="top" align="center">13 (13.0)</td>
<td valign="top" align="center">0.993<xref ref-type="table-fn" rid="TN2"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; 30&#x02013; &#x0003C;40</td>
<td valign="top" align="center">22 (14.7)</td>
<td valign="top" align="center">6 (12.0)</td>
<td valign="top" align="center">16 (16.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; 40&#x02013; &#x0003C;50</td>
<td valign="top" align="center">40 (26.7)</td>
<td valign="top" align="center">14 (28.0)</td>
<td valign="top" align="center">26 (26.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; 50&#x02013; &#x0003C;60</td>
<td valign="top" align="center">39 (26.0)</td>
<td valign="top" align="center">12 (24.0)</td>
<td valign="top" align="center">27 (27.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; 60&#x02013; &#x0003C;70</td>
<td valign="top" align="center">28 (18.7)</td>
<td valign="top" align="center">10 (20.0)</td>
<td valign="top" align="center">18 (18.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Height (cm), mean (SD) [range]</td>
<td valign="top" align="center">173.1 (9.6) [149&#x02013;203]</td>
<td valign="top" align="center">170.9 (8.3) [157&#x02013;188]</td>
<td valign="top" align="center">174.3 (10.0) [149&#x02013;203]</td>
<td valign="top" align="center"><italic>0.044<xref ref-type="table-fn" rid="TN1"><sup>&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg), mean (SD) [range]</td>
<td valign="top" align="center">80.3 (18.5) [44&#x02013;149]</td>
<td valign="top" align="center">76.3 (15.7) [44&#x02013;113]</td>
<td valign="top" align="center">82.4 (19.6) [50&#x02013;149]</td>
<td valign="top" align="center">0.056<xref ref-type="table-fn" rid="TN1"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">BMI, mean (SD) [range]</td>
<td valign="top" align="center">26.7 (5.3) [17.0&#x02013;26.7]</td>
<td valign="top" align="center">26.0 (4.4) [17.0&#x02013;37.4]</td>
<td valign="top" align="center">27.0 (5.7) [17.0&#x02013;37.4]</td>
<td valign="top" align="center">0.251<xref ref-type="table-fn" rid="TN1"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Female sex, <italic>n</italic> (%)</td>
<td valign="top" align="center">71 (47.3)</td>
<td valign="top" align="center">27 (54.0)</td>
<td valign="top" align="center">44 (44.0)</td>
<td valign="top" align="center">0.299<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Smoking status, <italic>n</italic> (%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Non-smoker</td>
<td valign="top" align="center">91 (60.7)</td>
<td valign="top" align="center">32 (64.0)</td>
<td valign="top" align="center">59 (59.0)</td>
<td valign="top" align="center"><italic>0.038<xref ref-type="table-fn" rid="TN4"><sup>&#x000A7;&#x000A7;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Active smoker</td>
<td valign="top" align="center">19 (12.7)</td>
<td valign="top" align="center">10 (20.0)</td>
<td valign="top" align="center">9 (9.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Former smoker</td>
<td valign="top" align="center">40 (26.7)</td>
<td valign="top" align="center">8 (16.0)</td>
<td valign="top" align="center">32 (32.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Comorbidities, <italic>n</italic> (%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Cardiovascular disease</td>
<td valign="top" align="center">9 (6.0)</td>
<td valign="top" align="center">5 (10.0)</td>
<td valign="top" align="center">4 (4.0)</td>
<td valign="top" align="center">0.161<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Heart arrythmia</td>
<td valign="top" align="center">8 (5.3)</td>
<td valign="top" align="center">3 (6.0)</td>
<td valign="top" align="center">5 (5.0)</td>
<td valign="top" align="center">0.797<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Asthma</td>
<td valign="top" align="center">11 (7.3)</td>
<td valign="top" align="center">5 (10.0)</td>
<td valign="top" align="center">6 (6.0)</td>
<td valign="top" align="center">0.507<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Impaired LVF (left ventricular function)</td>
<td valign="top" align="center">1 (0.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center">0.478<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Diabetes</td>
<td valign="top" align="center">15 (10.0)</td>
<td valign="top" align="center">2 (4.0)</td>
<td valign="top" align="center">13 (13.0)</td>
<td valign="top" align="center">0.146<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Hypertension</td>
<td valign="top" align="center">32 (21.3)</td>
<td valign="top" align="center">10 (20.0)</td>
<td valign="top" align="center">22 (22.0)</td>
<td valign="top" align="center">0.835<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Chronic kidney disease</td>
<td valign="top" align="center">1 (0.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center">0.999<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Allergies</td>
<td valign="top" align="center">31 (20.7)</td>
<td valign="top" align="center">5 (10.0)</td>
<td valign="top" align="center">26 (26.0)</td>
<td valign="top" align="center"><italic>0.031<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Medication</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Aspirin</td>
<td valign="top" align="center">10 (6.7)</td>
<td valign="top" align="center">3 (6.0)</td>
<td valign="top" align="center">7 (7.0)</td>
<td valign="top" align="center">0.999<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Anticoagulants</td>
<td valign="top" align="center">4 (2.7)</td>
<td valign="top" align="center">1 (2.0)</td>
<td valign="top" align="center">3 (3.0)</td>
<td valign="top" align="center">0.999<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; ACE blocker</td>
<td valign="top" align="center">9 (6.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">9 (9.0)</td>
<td valign="top" align="center"><italic>0.030<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; ATII blocker</td>
<td valign="top" align="center">14 (9.3)</td>
<td valign="top" align="center">7 (14.0)</td>
<td valign="top" align="center">7 (7.0)</td>
<td valign="top" align="center">0.232<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Betablocker</td>
<td valign="top" align="center">24 (16.0)</td>
<td valign="top" align="center">7 (14.0)</td>
<td valign="top" align="center">17 (17.0)</td>
<td valign="top" align="center">0.814<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Statine</td>
<td valign="top" align="center">23 (15.3)</td>
<td valign="top" align="center">11 (22.0)</td>
<td valign="top" align="center">12 (12.0)</td>
<td valign="top" align="center">0.148<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Immunosuppressive</td>
<td valign="top" align="center">3 (2.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">3 (3.0)</td>
<td valign="top" align="center">0.551<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Arrhythmogenic</td>
<td valign="top" align="center">1 (0.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center">0.999<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; ICS/LABA</td>
<td valign="top" align="center">13 (8.7)</td>
<td valign="top" align="center">5 (10.0)</td>
<td valign="top" align="center">8 (8.0)</td>
<td valign="top" align="center">0.761<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Thyrex</td>
<td valign="top" align="center">8 (5.3)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">8 (8.0)</td>
<td valign="top" align="center">0.052<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Diuretica</td>
<td valign="top" align="center">4 (2.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">4 (4.0)</td>
<td valign="top" align="center">0.302<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0; Calcium antagonist</td>
<td valign="top" align="center">7 (4.7)</td>
<td valign="top" align="center">2 (4.0)</td>
<td valign="top" align="center">5 (5.0)</td>
<td valign="top" align="center">0.999<xref ref-type="table-fn" rid="TN3"><sup>&#x000A7;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CG, Control Group; PostCG, Post Covid Group; n, sample size (valid cases); yrs, years; SD, standard deviation</italic>.</p>
<fn id="TN1">
<label>&#x00023;</label>
<p><italic>T-test for independent samples and homogeneous variances, two-sided</italic>.</p></fn>
<fn id="TN2">
<label>&#x00023;&#x00023;&#x00023;</label>
<p><italic>Mann-Whitney-U-test, two-sided</italic>.</p></fn>
<fn id="TN3">
<label>&#x000A7;</label>
<p><italic>Fisher&#x00027;s exact test for crosstabs, two-sided</italic>.</p></fn>
<fn id="TN4">
<label>&#x000A7;&#x000A7;</label>
<p><italic>Pearson&#x00027;s X<sup>2</sup>-test for crosstabs, two-sided</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Lung function parameters of the post-CoVG (separate parameters for mild and severe disease) are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Manifestation of COVID-19 at the time of the disease was asymptomatic at 3%, mild to moderate without hospitalization at 76%, patients needing hospital admission without non-invasive ventilation/ICU or intensive unit at 18%, and needing ICU or intensive unit at 3%. Static and dynamic lung volumes were significantly reduced in the hospitalized patients. Impaired diffusion capacity as defined by DLCO &#x0003C; lower limit of normal (LLN) was found in 65% of hospitalized patients, and in 29.5% in patients with mild post-CoV (<italic>p</italic> = 0.004). Blood gases at rest did not significantly differ between the two patient groups. Higher NT-proBNP and lower CK values were seen in severe compared to patients with mild post-CoV. No significant differences between both groups could be found concerning comorbidities except a higher percentage of diabetes in the patients with severe post-CoV.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Post coronavirus disease 2019 (COVID-19) group by course of disease.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Total postCG</bold></th>
<th valign="top" align="center"><bold>Mild postCG</bold></th>
<th valign="top" align="center"><bold>Severe postCG</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Participants, n</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">21</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>COVID-19 manifestation</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Asymptomatic</td>
<td valign="top" align="center">3 (3.0)</td>
<td valign="top" align="center">3 (3.8)</td>
<td valign="top" align="center">NS</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mild to moderate</td>
<td valign="top" align="center">76 (76.0)</td>
<td valign="top" align="center">76 (96.2)</td>
<td valign="top" align="center">NS</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hospital admission</td>
<td valign="top" align="center">18 (18.0)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">18 (85.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">ICU/NIV</td>
<td valign="top" align="center">3 (3.0)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">3 (14.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diffusion impairment at exercise, <italic>n</italic> (%) {valid}</td>
<td valign="top" align="center">9 (9.5) {95}</td>
<td valign="top" align="center">5 (6.8) {74}</td>
<td valign="top" align="center">4 (19.0)</td>
<td valign="top" align="center">0.105<xref ref-type="table-fn" rid="TN8"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cardiac arrythmia at exercise, <italic>n</italic> (%) {valid}</td>
<td valign="top" align="center">28 (28.3) {99}</td>
<td valign="top" align="center">23 (29.1)</td>
<td valign="top" align="center">5 (25.0) {21}</td>
<td valign="top" align="center">0.475<xref ref-type="table-fn" rid="TN8"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Lung function</bold></td>
</tr>
<tr>
<td valign="top" align="left">TLC (%), mean (SD)</td>
<td valign="top" align="center">100.6 (17.8)</td>
<td valign="top" align="center">103.2 (17.1)</td>
<td valign="top" align="center">91.1 (17.3)</td>
<td valign="top" align="center"><italic>0.003<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">RV (%), mean (SD)</td>
<td valign="top" align="center">33.2 (7.4)</td>
<td valign="top" align="center">32.4 (7.1)</td>
<td valign="top" align="center">36.3 (7.8)</td>
<td valign="top" align="center"><italic>0.029<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">FVC (%), mean (SD)</td>
<td valign="top" align="center">93.3 (16.6)</td>
<td valign="top" align="center">95.9 (13.8)</td>
<td valign="top" align="center">83.6 (22.3)</td>
<td valign="top" align="center"><italic>0.025<xref ref-type="table-fn" rid="TN6"><sup>&#x00023;&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">FEV1 (l), mean (SD)</td>
<td valign="top" align="center">3.44 (0.97)</td>
<td valign="top" align="center">3.61 (0.97)</td>
<td valign="top" align="center">2.80 (0.68)</td>
<td valign="top" align="center"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN5"><sup>&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">FEV1 (%), mean (SD)</td>
<td valign="top" align="center">94.2 (16.8)</td>
<td valign="top" align="center">96.5 (13.8)</td>
<td valign="top" align="center">85.6 (22.3)</td>
<td valign="top" align="center"><italic>0.026<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">FEV1/FVC (%), mean (SD)</td>
<td valign="top" align="center">80.2 (5.5)</td>
<td valign="top" align="center">80.1 (5.1)</td>
<td valign="top" align="center">80.8 (7.0)</td>
<td valign="top" align="center">0.352<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">DLCO (%), mean (SD) {valid}</td>
<td valign="top" align="center">82.9 (16.0) {98}</td>
<td valign="top" align="center">85.0 (14.8) {78}</td>
<td valign="top" align="center">74.8 (18.2) {20}</td>
<td valign="top" align="center"><italic>0.010<xref ref-type="table-fn" rid="TN5"><sup>&#x00023;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">DLCO &#x0003C; LLN, <italic>n</italic> (%) {valid}</td>
<td valign="top" align="center">36 (36.7) {98}</td>
<td valign="top" align="center">23 (29.5) {78}</td>
<td valign="top" align="center">13 (65.0) {20}</td>
<td valign="top" align="center"><italic>0.004<xref ref-type="table-fn" rid="TN8"><sup>&#x000A7;</sup></xref></italic></td>
</tr>
<tr>
<td valign="top" align="left">KCO (%)</td>
<td valign="top" align="center">93.0 (12.2) {98}</td>
<td valign="top" align="center">93.4 (12.6) {78}</td>
<td valign="top" align="center">91.7 (10.9) {20}</td>
<td valign="top" align="center">0.576<xref ref-type="table-fn" rid="TN5"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">KCO &#x0003C; LLN, <italic>n</italic> (%) {valid}</td>
<td valign="top" align="center">2 (2.0) {98}</td>
<td valign="top" align="center">2 (2.6) {78}</td>
<td valign="top" align="center">0 (0.0) {20}</td>
<td valign="top" align="center">0.632<xref ref-type="table-fn" rid="TN8"><sup>&#x000A7;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Blood gases at rest</bold></td>
</tr>
<tr>
<td valign="top" align="left">paO<sub>2</sub> (mmHg), mean (SD)</td>
<td valign="top" align="center">89.4 (9.8)</td>
<td valign="top" align="center">89.7 (9.7)</td>
<td valign="top" align="center">88.4 (10.5)</td>
<td valign="top" align="center">0.592<xref ref-type="table-fn" rid="TN5"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">paCO<sub>2</sub> (mmHg), mean (SD)</td>
<td valign="top" align="center">35.3 (3.7)</td>
<td valign="top" align="center">35.1 (3.6)</td>
<td valign="top" align="center">36.0 (3.9)</td>
<td valign="top" align="center">0.334<xref ref-type="table-fn" rid="TN5"><sup>&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">AaDO<sub>2</sub> (mmHg), mean (SD)</td>
<td valign="top" align="center">17.5 (8.8)</td>
<td valign="top" align="center">17.4 (8.7)</td>
<td valign="top" align="center">17.9 (9.3)</td>
<td valign="top" align="center">0.591<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">VECO<sub>2</sub> (mmHg), mean (SD) {valid}</td>
<td valign="top" align="center">33.7 (5.3) {99}</td>
<td valign="top" align="center">33.6 (4.8) {78}</td>
<td valign="top" align="center">34.3 (6.9)</td>
<td valign="top" align="center">0.745<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">VEO<sub>2</sub> (mmHg), mean (SD) {valid}</td>
<td valign="top" align="center">27.7 (5.0) {99}</td>
<td valign="top" align="center">27.5 (4.6) {78}</td>
<td valign="top" align="center">28.4 (6.4)</td>
<td valign="top" align="center">0.857<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">proBNP, mean (SD) {valid}</td>
<td valign="top" align="center">63.4 (91.1) {97}</td>
<td valign="top" align="center">52.7 (71.5) {76}</td>
<td valign="top" align="center">134.8 (83.1)</td>
<td valign="top" align="center">0.005<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">CK, U/l, mean (SD) {valid}</td>
<td valign="top" align="center">125.9 (78.9) {96}</td>
<td valign="top" align="center">101.9 (136.5) {75}</td>
<td valign="top" align="center">94.3 (51.4)</td>
<td valign="top" align="center">0.016<xref ref-type="table-fn" rid="TN7"><sup>&#x00023;&#x00023;&#x00023;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>PostCG, Post Covid Group; n, sample size (valid cases); SD, standard deviation</italic>.</p>
<fn id="TN5">
<label>&#x00023;</label>
<p><italic>T-test for independent samples and homogeneous variances, two-sided</italic>.</p></fn>
<fn id="TN6">
<label>&#x00023;&#x00023;</label>
<p><italic>T-test for independent samples and heterogeneous variances, two-sided</italic>.</p></fn>
<fn id="TN7">
<label>&#x00023;&#x00023;&#x00023;</label>
<p><italic>Mann-Whitney-U-test, two-sided</italic>.</p></fn>
<fn id="TN8">
<label>&#x000A7;</label>
<p><italic>Fisher&#x00027;s exact test for crosstabs, two-side</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>CPET Parameters of the Post-CoVG and CG</title>
<p>The VO<sub>2</sub>peak (%predicted) and Wpeak (%predicted) were lower in the mild post-CoVG compared to the CG (<italic>p</italic> = 0.003), the VO<sub>2</sub>peak (%predicted) and Wpeak (%predicted) were significantly lower in the severe post-CoVG compared to the other groups (CG vs. severe, <italic>p</italic> &#x0003C; 0.001, <italic>p</italic> = 0.001; mild vs. severe, <italic>p</italic> &#x0003C; 0.001, <italic>p</italic> = 0.003; <xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Differences of ventilatory equivalents at rest, VT1, VT<sub>2</sub>, and peak exercise between all three groups are depicted in <xref ref-type="fig" rid="F2">Figures 2A,B</xref>. A significant higher VE/VO<sub>2</sub> at VT2 and peak exercise could also be seen in mild post-COVG, compared to the control group as well as in the severe post-CoVG. In addition a significantly higher VE/VCO<sub>2</sub> could also be found at VT1 and peak exercise in the post-CoVG compared to the CG. Lactate values at peak exercise were significantly lower in both patient groups compared to the CG (<xref ref-type="fig" rid="F2">Figure 2C</xref>). In addition to those values, relative VO<sub>2</sub>peak, Hrpeak, VT1/VCO<sub>2</sub>, and VT1/VO<sub>2</sub> predicted were all lower in the severe post-CoVG compared to the CG. All those values (plus HRs at VT1) were lower in the severe vs. the mild post-CoVG. No overall differences between groups were found for BR, VE at rest, and Vepeak (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>(A,B)</bold> VO<sub>2</sub>peak (% predicted) and Wpeak (% predicted) in the control group (CG), mildly and severely affected post-coronavirus disease 2019 (COVID) patients. Colored boxes indicate mean &#x000B1; SD, white boxes 90th percentiles.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-773788-g0001.tif"/>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>(A&#x02013;C)</bold> VE/VCO<sub>2</sub>, VE/VO<sub>2</sub> and blood lactate concentration at rest, VT1, VT2, and peak exercise, and the first 3 min post-exercise (2c) in in the control group (CG), mildly and severely affected post-COVID patients. Colored boxes indicate mean &#x000B1; SD, white boxes 90th percentiles.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-08-773788-g0002.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Control group vs. study groups by course of disease&#x02014;performance parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>CG</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>PostCG</bold></th>
<th valign="top" align="center"><bold>p</bold><break/> <bold>(3-groups)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><italic><bold>Post-hoc</bold></italic> <bold>tests</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Mild</bold></th>
<th valign="top" align="center"><bold>Severe</bold></th>
<th/>
<th valign="top" align="center"><bold>CG vs. mild</bold></th>
<th valign="top" align="center"><bold>CG vs. severe</bold></th>
<th valign="top" align="center"><bold>Mild vs. severe</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Participants, <italic>n</italic></td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">21</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>Mean (SD) {valid n}</bold></td>
<td valign="top" align="center"><bold>Mean (SD) {valid n}</bold></td>
<td valign="top" align="center"><bold>Mean (SD) {valid n}</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">W peak (%pred)</td>
<td valign="top" align="center">116.5 (16.5)</td>
<td valign="top" align="center">104.8 (24.0)</td>
<td valign="top" align="center">81.7 (27.6)</td>
<td valign="top" align="left"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center"><italic>0.003</italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center"><italic>0.001</italic></td>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2</sub> peak (ml/kg/min)</td>
<td valign="top" align="center">29.6 (7.5)</td>
<td valign="top" align="center">28.2 (9.0)</td>
<td valign="top" align="center">21.3 (6.4)</td>
<td valign="top" align="left"><italic>0.001<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center">0.613</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center"><italic>0.001</italic></td>
</tr>
<tr>
<td valign="top" align="left">VO<sub>2</sub> peak (%pred)</td>
<td valign="top" align="center">107.7 (16.0)</td>
<td valign="top" align="center">100.4 (24.8)</td>
<td valign="top" align="center">86.1 (20.6)</td>
<td valign="top" align="left"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center"><italic>0.029</italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center"><italic>0.003</italic></td>
</tr>
<tr>
<td valign="top" align="left">BR (%)</td>
<td valign="top" align="center">22.5 (19.7)</td>
<td valign="top" align="center">19.9 (15.1) {77}</td>
<td valign="top" align="center">17.1 (14.8)</td>
<td valign="top" align="left">0.441<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">Lactate peak (mmol/L)</td>
<td valign="top" align="center">7.53 (1.7)</td>
<td valign="top" align="center">6.18 (2.27)</td>
<td valign="top" align="center">5.51 (2.45)</td>
<td valign="top" align="left"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<td valign="top" align="left">HR rest (bpm)</td>
<td valign="top" align="center">75.8 (11.5)</td>
<td valign="top" align="center">79.5 (11.3)</td>
<td valign="top" align="center">77.3 (9.7)</td>
<td valign="top" align="left">0.195<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">HR peak (bpm)</td>
<td valign="top" align="center">164.9 (18.9)</td>
<td valign="top" align="center">165.6 (22.1)</td>
<td valign="top" align="center">145.1 (25.7)</td>
<td valign="top" align="left"><italic>0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center"><italic>0.001</italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
</tr>
<tr>
<td valign="top" align="left">VE rest (L)</td>
<td valign="top" align="center">10.9 (3.4)</td>
<td valign="top" align="center">11.7 (93.4) {78}</td>
<td valign="top" align="center">12.4 (3.2)</td>
<td valign="top" align="left">0.086<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">VE peak (L)</td>
<td valign="top" align="center">86.6 (28.3)</td>
<td valign="top" align="center">93.4 (28.2)</td>
<td valign="top" align="center">78.1 (19.3)</td>
<td valign="top" align="left">0.058<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">VT1/VO<sub>2</sub> pred (%)</td>
<td valign="top" align="center">55.0 (8.4) {48}</td>
<td valign="top" align="center">52.8 (9.9)</td>
<td valign="top" align="center">46.1 (9.7)</td>
<td valign="top" align="left">0.003<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></td>
<td valign="top" align="center">0.096</td>
<td valign="top" align="center"><italic>0.001</italic></td>
<td valign="top" align="center"><italic>0.013</italic></td>
</tr>
<tr>
<td valign="top" align="left">VT2/VO<sub>2</sub> pred (%)</td>
<td valign="top" align="center">88.9 (13.7) {48}</td>
<td valign="top" align="center">89.0 (18.8) {78}</td>
<td valign="top" align="center">70.4 (18.2) {20}</td>
<td valign="top" align="left"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center">0.999</td>
<td valign="top" align="center"><italic>0.001</italic></td>
<td valign="top" align="center"><italic>0.001</italic></td>
</tr>
<tr>
<td valign="top" align="left">HR at VT1 (bpm)</td>
<td valign="top" align="center">108.6 (16.1) {49}</td>
<td valign="top" align="center">110.1 (15.0)</td>
<td valign="top" align="center">100.7 (14.7)</td>
<td valign="top" align="left"><italic>0.045<xref ref-type="table-fn" rid="TN9"><sup>&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center">0.851</td>
<td valign="top" align="center">0.125</td>
<td valign="top" align="center"><italic>0.036</italic></td>
</tr>
<tr>
<td valign="top" align="left">HR at VT2 (bpm)</td>
<td valign="top" align="center">142.4 (18.8) {49}</td>
<td valign="top" align="center">150.7 (23.0) {78}</td>
<td valign="top" align="center">126.1 (21.4) {20}</td>
<td valign="top" align="left"><italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x000A3;&#x000A3;&#x000A3;</sup></xref></italic></td>
<td valign="top" align="center"><italic>0.020</italic></td>
<td valign="top" align="center"><italic>0.004</italic></td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CG, Control Group; PostCG, Post Covid Group; n, sample size (valid cases); %pred, percent predicted; bpm, beats per minute</italic>.</p>
<fn id="TN9"> 
<label>&#x000A3;</label>
<p><italic>ANOVA (analysis of variances)</italic>.</p></fn>
<fn id="TN10"> 
<label>&#x000A3;&#x000A3;</label>
<p><italic>Kruskal-Wallis-Tests (nonparametric, for &#x0003E;2 indepent samples, two-sided)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Multiple linear regression analyses (backward; <italic>p</italic> &#x0003C; 0.001) revealed that 74 % (adjusted <italic>R</italic><sup>2</sup>) of the variance in relative VO<sub>2</sub>peak of patients with post-CoV could be explained by 7 variables (<xref ref-type="table" rid="T4">Table 4</xref>). Lower age, male sex, lower BMI, higher DLCO, higher predicted Hrpeak, lower BR, and lower SaO<sub>2</sub>peak are related to higher relative VO<sub>2</sub>peak values, while FEV1 and O<sub>2</sub>pulse (% change from VT1 to VO<sub>2</sub>peak) had no effect on VO<sub>2</sub>peak, and, thus, were excluded from the model.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Results of the multiple linear regression backward (step 3).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
<th valign="top" align="center"><bold>B</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>95% CI for B</bold></th>
<th valign="top" align="center"><bold>Standard error of B</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>LL</bold></th>
<th valign="top" align="center"><bold>UL</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total model</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">&#x02212;0.251</td>
<td valign="top" align="center">&#x02212;0.337</td>
<td valign="top" align="center">&#x02212;0.164</td>
<td valign="top" align="center">0.044</td>
</tr>
<tr>
<td valign="top" align="left">Male sex</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">4.552</td>
<td valign="top" align="center">2.543</td>
<td valign="top" align="center">6.561</td>
<td valign="top" align="center">1.011</td>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">&#x02212;0.682</td>
<td valign="top" align="center">&#x02212;0.863</td>
<td valign="top" align="center">&#x02212;0.501</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">DLCO (%)</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center">0.181</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">HRpeak (% of predicted)</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center"><italic>0.189</italic></td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">0.279</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">BR (%)</td>
<td valign="top" align="center"><italic>0.009</italic></td>
<td valign="top" align="center">&#x02212;0.095</td>
<td valign="top" align="center">&#x02212;0.166</td>
<td valign="top" align="center">&#x02212;0.025</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">SpO<sub>2</sub> peak (%)</td>
<td valign="top" align="center"><italic>0.045</italic></td>
<td valign="top" align="center">&#x02212;0.114</td>
<td valign="top" align="center">&#x02212;0.226</td>
<td valign="top" align="center">&#x02212;0.002</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">(Constant)</td>
<td valign="top" align="center"><italic> &#x0003C;0.001</italic></td>
<td valign="top" align="center">40.342</td>
<td valign="top" align="center">24.571</td>
<td valign="top" align="center">56.113</td>
<td valign="top" align="center">7.935</td>
</tr>
<tr>
<td valign="top" align="left">Adjusted R<sup>2</sup></td>
<td valign="top" align="center">0.739</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Dependent variable: VO<sub>2</sub> peak (ml/kg/min). Independent variables included in step 1: age, male sex, BMI, FEV1 (%), DLCO (%), HRpeak (% of predicted, Tanaka), BR %, SpO<sub>2</sub> (%) and O<sub>2</sub> plus % change VT1 to max (sample size n = 98, postCG)</italic>.</p>
<p><italic>CI, Confidence interval; B, Unstandardized Coefficient B; LL, 95% lower limit of confidence interval B; UL, 95% upper limit of confidence interval of B</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This prospective study demonstrated prolonged impairment of both the predicted maximal exercise capacity (Wpeak and VO<sub>2</sub>peak) in patients with mild and severe post-CoV, and the predicted submaximal exercise performance (predicted VT1/VO<sub>2</sub>peak and VT2/VO<sub>2</sub>peak) only in patients with severe post-CoV compared to controls. Impairments were more pronounced in the severe compared to the mild post-CoVG. Regression analyses (supported by the elevated NT-proBNP values) revealed that aside from impaired pulmonary function, cardiac and skeletal muscle dysfunction contributed to the limitation of VO<sub>2</sub>peak in patients with post-CoV.</p>
<p>Generally, the manifestations of COVID-19 showed a wide severity spectrum from asymptomatic to most severe forms (<xref ref-type="bibr" rid="B17">17</xref>). Moreover, a large heterogeneity concerning the signs and the symptom duration was found in these patients (<xref ref-type="bibr" rid="B18">18</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>). Not surprisingly, a reduced exercise capacity has been reported in 59% of 18 patients with COVID-19 at the time of hospital discharge, with a VO<sub>2</sub>peak &#x0003C;70% of predicted in 61% of cases (<xref ref-type="bibr" rid="B14">14</xref>). In agreement with our findings, prolonged performance impairment was demonstrated in 50% of patients with COVID history, up to 100 days after infection, with impaired lung function in 42% after 60 days, and still in 36% after 100 days (<xref ref-type="bibr" rid="B21">21</xref>). Another study reported the persistence of at least one symptom in more than 80% of patients with COVID-19 after the onset of the first symptoms (<xref ref-type="bibr" rid="B19">19</xref>). Diminished physical fitness associated with persistent breathing disorder has been found even 6 months after hospitalization for COVID-19 infection (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>To our knowledge, we presented the first study demonstrating different impairment of maximal and submaximal exercise performance, between patients with mild and severe CoV history after 3&#x02013;6 months of recovery. In addition, we showed that both impaired pulmonary and cardiac function, but also a probable dysfunction of the skeletal working muscles, contributed to the explanation of the reduced aerobic exercise capacity. Although VEmax and BR, as potential indicators for ventilatory limitation, were rather normal in the patients with CoV history, multiple linear regression analysis indicated that low BR contributed to the variance explanation of relative VO2max. This is also true for the compromised resting pulmonary lung function observed, which is in agreement with other studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Out of the patients with history in CoV, 37% showed decreased DLCO (&#x0003C; LLN), but without abnormal KCO (&#x0003C; LLN). These observations are also in accordance with previous studies (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), supporting the view that loss of alveolar units is not the primary cause for the observed DLCO impairment (<xref ref-type="bibr" rid="B27">27</xref>). Thus, other factors like pulmonary microangiopathy, fibrin clotting within small capillaries around alveoli, small vessel thrombosis, and thickening of alveolar capillaries might contribute to a reduced DLCO (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>The present findings suggest that aerobic exercise capacity (relative VO<sub>2</sub>peak) may also be limited as related to potential extrapulmonary manifestations, e.g., myopathy, autonomic dysregulation, and physical deconditioning (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Cardiac involvement is supported by the elevated NT-proBNP values in post-CoV patients. A correlation between left ventricular dysfunction, NT-proBNP, and exercise capacity has been demonstrated in patients with heart-failure (<xref ref-type="bibr" rid="B28">28</xref>). Cardiac abnormalities are common in survivors of COVID-19, and could be detected in 42.3% of the 97 survivors of the said illness (<xref ref-type="bibr" rid="B29">29</xref>), with a wide range of different manifestations including brady-tachyarrhythmia and COVID 19- related-myocarditis up to left ventricular dysfunction [12]. In our patients, cardiac arrythmia at exercise could be found in 28.3% of the patients who had CoV, without significant differences in both patient groups.</p>
<p>Whether it does and to what extent it can, the contribution of the dysfunction of working muscles to the observed VO2peak impairment is difficult to assess from CPET results. Severe muscle dysfunction and pain were reported in patients with COVID-19 (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), and seemed also to be true in patients of the present study. This can be derived from the low HRmax values observed, likely indicating muscle dysfunction, as low maximal HR responses have also been demonstrated in patients suffering from chronic fatigue syndrome with debilitating fatigue, muscle pain, and muscle weakness (<xref ref-type="bibr" rid="B30">30</xref>). In addition, low VTs may also point to affected working muscles, which has been demonstrated in patients suffering from mitochondrial dysfunction (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>There are several limitations of the current study. First, the study population consisted of a higher percentage of patients with history of COVID, with mild to moderate courses of the disease, but especially for these patients, information about cardiopulmonary limitations were missing. Secondly, cardiopulmonary evaluation prior to COVID-19 was not available, so it cannot fully evaluate the impact of pre-existing cardiopulmonary impairments. Although cardiorespiratory and musculoskeletal limitations have also been reported after previous outbreaks of SARS-CoV (<xref ref-type="bibr" rid="B9">9</xref>), it remains unclear that these findings are specific for COVID infections.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Three to 6 months after recovery from COVID-19, many patients are still affected by reduced maximal exercise capacity (for mildly and severely affected patients) and by impaired submaximal exercise performance (only severely affected patients). Our findings reveal that pulmonary, cardiac and skeletal muscle dysfunction contributed to the limitations of aerobic exercise performance in patients with CoV history. These findings may have important implications on rehabilitation programs for the said patients, with a need for multidisciplinary collaborations to assess the optimal structure of rehabilitation programs.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Medical University of Vienna. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>KV designed the study, had full access to all of the data used, acquired data, analyzed and interpreted data, searched literature, wrote, and reviewed and edited original draft. AL, DB, MG, and SS performed study examination and acquired data. AS and MB had full access to all data in the study, analyzed and interpreted data, wrote, and reviewed and edited original draft. MI and DG designed the study, had full access to all data in the study and verified the underlying data, and reviewed and edited original draft. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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> 
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Docherty</surname> <given-names>AB</given-names></name> <name><surname>Harrison</surname> <given-names>EM</given-names></name> <name><surname>Green</surname> <given-names>CA</given-names></name> <name><surname>Hardwick</surname> <given-names>HE</given-names></name> <name><surname>Pius</surname> <given-names>R</given-names></name> <name><surname>Norman</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Features of 20,133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study</article-title>. <source>BMJ.</source> (<year>2020</year>) <volume>369</volume>:<fpage>m1985</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.m1985</pub-id><pub-id pub-id-type="pmid">32444460</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>D</given-names></name> <name><surname>Hu</surname> <given-names>B</given-names></name> <name><surname>Hu</surname> <given-names>C</given-names></name> <name><surname>Zhu</surname> <given-names>F</given-names></name> <name><surname>Liu</surname> <given-names>X</given-names></name> <name><surname>Zhang</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China</article-title>. <source>JAMA.</source> (<year>2020</year>) <volume>323</volume>:<fpage>106</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2020.1585</pub-id><pub-id pub-id-type="pmid">32031570</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Guan</surname> <given-names>WJ</given-names></name> <name><surname>Ni</surname> <given-names>ZY</given-names></name> <name><surname>Hu</surname> <given-names>Y</given-names></name> <name><surname>Liang</surname> <given-names>WH</given-names></name> <name><surname>Ou</surname> <given-names>CQ</given-names></name> <name><surname>He</surname> <given-names>JX</given-names></name> <etal/></person-group>. <article-title>Clinical characteristics of coronavirus disease 2019 in China</article-title>. <source>N Engl J Med.</source> (<year>2020</year>) <volume>382</volume>:<fpage>1708</fpage>&#x02013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa2002032</pub-id><pub-id pub-id-type="pmid">32109013</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Argenziano</surname> <given-names>MG</given-names></name> <name><surname>Bruce</surname> <given-names>SL</given-names></name> <name><surname>Slater</surname> <given-names>CL</given-names></name> <name><surname>Tiao</surname> <given-names>JR</given-names></name> <name><surname>Baldwin</surname> <given-names>MR</given-names></name> <name><surname>Barr</surname> <given-names>RG</given-names></name> <etal/></person-group>. <article-title>Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series</article-title>. <source>BMJ.</source> (<year>2020</year>) <volume>369</volume>:<fpage>m1996</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.m1996</pub-id><pub-id pub-id-type="pmid">32471884</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lechien</surname> <given-names>JR</given-names></name> <name><surname>Chiesa-Estomba</surname> <given-names>CM</given-names></name> <name><surname>Place</surname> <given-names>S</given-names></name> <name><surname>Van Laethem</surname> <given-names>Y</given-names></name> <name><surname>Cabaraux</surname> <given-names>P</given-names></name> <name><surname>Mat</surname> <given-names>Q</given-names></name> <etal/></person-group>. <article-title>Clinical and epidemiological characteristics of 1420 European patients with mild-to-moderate coronavirus disease 2019</article-title>. <source>J Intern Med.</source> (<year>2020</year>) <volume>288</volume>:<fpage>335</fpage>&#x02013;<lpage>44</lpage>. <pub-id pub-id-type="doi">10.1111/joim.13089</pub-id><pub-id pub-id-type="pmid">32352202</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salton</surname> <given-names>F</given-names></name> <name><surname>Confalonieri</surname> <given-names>P</given-names></name> <name><surname>Meduri</surname> <given-names>GU</given-names></name> <name><surname>Santus</surname> <given-names>P</given-names></name> <name><surname>Harari</surname> <given-names>S</given-names></name> <name><surname>Scala</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Prolonged low-dose methylprednisolone in patients with severe COVID-19 pneumonia</article-title>. <source>Open Forum Infect Dis.</source> (<year>2020</year>) <volume>7</volume>:<fpage>ofaa421</fpage>. <pub-id pub-id-type="doi">10.1093/ofid/ofaa421</pub-id><pub-id pub-id-type="pmid">33072814</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection</collab></person-group>. <article-title>A minimal common outcome measure set for COVID-19 clinical research</article-title>. <source>Lancet Infect Dis.</source> (<year>2020</year>) <volume>20</volume>:<fpage>e192</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/S1473-3099(20)30483-7</pub-id><pub-id pub-id-type="pmid">32539990</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tenforde</surname> <given-names>MW</given-names></name> <name><surname>Billig Rose</surname> <given-names>E</given-names></name> <name><surname>Lindsell</surname> <given-names>CJ</given-names></name> <name><surname>Shapiro</surname> <given-names>NI</given-names></name> <name><surname>Files</surname> <given-names>DC</given-names></name> <name><surname>Gibbs</surname> <given-names>KW</given-names></name> <etal/></person-group>. <article-title>Characteristics of adult outpatients and inpatients with COVID-19 - 11 academic medical centers, United States, March-May 2020</article-title>. <source>MMWR Morb Mortal Wkly Rep.</source> (<year>2020</year>) <volume>69</volume>:<fpage>841</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.15585/mmwr.mm6926e3</pub-id><pub-id pub-id-type="pmid">32614810</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lau</surname> <given-names>HM</given-names></name> <name><surname>Lee</surname> <given-names>EW</given-names></name> <name><surname>Wong</surname> <given-names>CN</given-names></name> <name><surname>Ng</surname> <given-names>GY</given-names></name> <name><surname>Jones</surname> <given-names>AY</given-names></name> <name><surname>Hui</surname> <given-names>DS</given-names></name></person-group>. <article-title>The impact of severe acute respiratory syndrome on the physical profile and quality of life</article-title>. <source>Arch Phys Med Rehabil.</source> (<year>2005</year>) <volume>86</volume>:<fpage>1134</fpage>&#x02013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1016/j.apmr.2004.09.025</pub-id><pub-id pub-id-type="pmid">15954051</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mo</surname> <given-names>X</given-names></name> <name><surname>Jian</surname> <given-names>W</given-names></name> <name><surname>Su</surname> <given-names>Z</given-names></name> <name><surname>Chen</surname> <given-names>M</given-names></name> <name><surname>Peng</surname> <given-names>H</given-names></name> <name><surname>Peng</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Abnormal pulmonary function in COVID-19 patients at time of hospital discharge</article-title>. <source>Eur Respir J.</source> (<year>2020</year>) <volume>55</volume>:<fpage>1217</fpage>. <pub-id pub-id-type="doi">10.1183/13993003.01217-2020</pub-id><pub-id pub-id-type="pmid">32381497</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>C</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Ren</surname> <given-names>L</given-names></name> <name><surname>Zhao</surname> <given-names>J</given-names></name> <name><surname>Hu</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China</article-title>. <source>Lancet.</source> (<year>2020</year>) <volume>395</volume>:<fpage>497</fpage>&#x02013;<lpage>506</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(20)30183-5</pub-id><pub-id pub-id-type="pmid">32502551</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jin</surname> <given-names>M</given-names></name> <name><surname>Tong</surname> <given-names>Q</given-names></name></person-group>. <article-title>Rhabdomyolysis as potential late complication associated with COVID-19</article-title>. <source>Emerg Infect Dis.</source> (<year>2020</year>) <volume>26</volume>:<fpage>1618</fpage>&#x02013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.3201/eid2607.200445</pub-id><pub-id pub-id-type="pmid">32818421</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lippi</surname> <given-names>G</given-names></name> <name><surname>Plebani</surname> <given-names>M</given-names></name></person-group>. <article-title>Laboratory abnormalities in patients with COVID-2019 infection</article-title>. <source>Clin Chem Lab Med.</source> (<year>2020</year>) <volume>58</volume>:<fpage>1131</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1515/cclm-2020-0198</pub-id><pub-id pub-id-type="pmid">32119647</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baratto</surname> <given-names>C</given-names></name> <name><surname>Caravita</surname> <given-names>S</given-names></name> <name><surname>Faini</surname> <given-names>A</given-names></name> <name><surname>Perego</surname> <given-names>GB</given-names></name> <name><surname>Senni</surname> <given-names>M</given-names></name> <name><surname>Badano</surname> <given-names>LP</given-names></name> <etal/></person-group>. <article-title>Impact of COVID-19 on exercise pathophysiology: a combined cardiopulmonary and echocardiographic exercise study</article-title>. <source>J Appl Physiol.</source> (<year>2021</year>) <volume>130</volume>:<fpage>1470</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1152/japplphysiol.00710.2020</pub-id><pub-id pub-id-type="pmid">33764166</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Siripanthong</surname> <given-names>B</given-names></name> <name><surname>Nazarian</surname> <given-names>S</given-names></name> <name><surname>Muser</surname> <given-names>D</given-names></name> <name><surname>Deo</surname> <given-names>R</given-names></name> <name><surname>Santangeli</surname> <given-names>P</given-names></name> <name><surname>Khanji</surname> <given-names>MY</given-names></name> <etal/></person-group>. <article-title>Recognizing COVID-19-related myocarditis: The possible pathophysiology and proposed guideline for diagnosis and management</article-title>. <source>Heart Rhythm.</source> (<year>2020</year>) <volume>17</volume>:<fpage>1463</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1016/j.hrthm.2020.05.001</pub-id><pub-id pub-id-type="pmid">32387246</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clausen</surname> <given-names>JL</given-names></name> <name><surname>Coates</surname> <given-names>AL</given-names></name> <name><surname>Quanjer</surname> <given-names>PH</given-names></name></person-group>. <article-title>Measurement of lung volumes in humans: review and recommendations from an ATS/ERS workshop</article-title>. <source>Eur Respir J.</source> (<year>1997</year>) <volume>10</volume>:<fpage>1205</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1183/09031936.97.10061205</pub-id><pub-id pub-id-type="pmid">9192917</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wiersinga</surname> <given-names>WJ</given-names></name> <name><surname>Rhodes</surname> <given-names>A</given-names></name> <name><surname>Cheng</surname> <given-names>AC</given-names></name> <name><surname>Peacock</surname> <given-names>SJ</given-names></name> <name><surname>Prescott</surname> <given-names>HC</given-names></name></person-group>. <article-title>Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review</article-title>. <source>JAMA.</source> (<year>2020</year>) <volume>324</volume>:<fpage>782</fpage>&#x02013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2020.12839</pub-id><pub-id pub-id-type="pmid">32648899</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sudre</surname> <given-names>CH</given-names></name> <name><surname>Murray</surname> <given-names>B</given-names></name> <name><surname>Varsavsky</surname> <given-names>T</given-names></name> <name><surname>Graham</surname> <given-names>MS</given-names></name> <name><surname>Penfold</surname> <given-names>RS</given-names></name> <name><surname>Bowyer</surname> <given-names>RC</given-names></name> <etal/></person-group>. <article-title>Attributes and predictors of long COVID</article-title>. <source>Nat Med.</source> (<year>2021</year>) <volume>27</volume>:<fpage>626</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1038/s41591-021-01292-y</pub-id><pub-id pub-id-type="pmid">33692530</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carf&#x000EC;</surname> <given-names>A</given-names></name> <name><surname>Bernabei</surname> <given-names>R</given-names></name> <name><surname>Landi</surname> <given-names>F</given-names></name></person-group>. <article-title>Persistent Symptoms in Patients After Acute COVID-19</article-title>. <source>JAMA.</source> (<year>2020</year>) <volume>324</volume>:<fpage>603</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2020.12603</pub-id><pub-id pub-id-type="pmid">34029484</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stavem</surname> <given-names>K</given-names></name> <name><surname>Ghanima</surname> <given-names>W</given-names></name> <name><surname>Olsen</surname> <given-names>MK</given-names></name> <name><surname>Gilboe</surname> <given-names>HM</given-names></name> <name><surname>Einvik</surname> <given-names>G</given-names></name></person-group>. <article-title>Persistent symptoms 1.5-6 months after COVID-19 in non-hospitalised subjects: a population-based cohort study</article-title>. <source>Thorax</source>. (<year>2020</year>) <volume>2020</volume>:<fpage>1</fpage>&#x02013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1136/thoraxjnl-2020-216377</pub-id><pub-id pub-id-type="pmid">33273028</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sonnweber</surname> <given-names>T</given-names></name> <name><surname>Sahanic</surname> <given-names>S</given-names></name> <name><surname>Pizzini</surname> <given-names>A</given-names></name> <name><surname>Luger</surname> <given-names>A</given-names></name> <name><surname>Schwabl</surname> <given-names>C</given-names></name> <name><surname>Sonnweber</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Cardiopulmonary recovery after COVID-19: an observational prospective multicentre trial</article-title>. <source>Eur Respir J.</source> (<year>2021</year>) <volume>57</volume>:<fpage>2020</fpage>. <pub-id pub-id-type="doi">10.1183/13993003.03481-2020</pub-id><pub-id pub-id-type="pmid">33303539</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Debeaumont</surname> <given-names>D</given-names></name> <name><surname>Boujibar</surname> <given-names>F</given-names></name> <name><surname>Ferrand-Devouge</surname> <given-names>E</given-names></name> <name><surname>Artaud-Macari</surname> <given-names>E</given-names></name> <name><surname>Tamion</surname> <given-names>F</given-names></name> <name><surname>Gravier</surname> <given-names>FE</given-names></name> <etal/></person-group>. <article-title>Cardiopulmonary exercise testing to assess persistent symptoms at 6 months in people with COVID-19 who survived hospitalization - a pilot study</article-title>. <source>Phys Ther</source>. (<year>2021</year>) <volume>52</volume>:<fpage>PA3164</fpage>. <pub-id pub-id-type="doi">10.1183/13993003.congress-2021.PA3164</pub-id><pub-id pub-id-type="pmid">33735374</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ong</surname> <given-names>KC</given-names></name> <name><surname>Ng</surname> <given-names>AW</given-names></name> <name><surname>Lee</surname> <given-names>LS</given-names></name> <name><surname>Kaw</surname> <given-names>G</given-names></name> <name><surname>Kwek</surname> <given-names>SK</given-names></name> <name><surname>Leow</surname> <given-names>MK</given-names></name> <etal/></person-group>. <article-title>Pulmonary function and exercise capacity in survivors of severe acute respiratory syndrome</article-title>. <source>Eur Respir J.</source> (<year>2004</year>) <volume>24</volume>:<fpage>436</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1183/09031936.04.00007104</pub-id><pub-id pub-id-type="pmid">16236881</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mohr</surname> <given-names>A</given-names></name> <name><surname>Dannerbeck</surname> <given-names>L</given-names></name> <name><surname>Lange</surname> <given-names>TJ</given-names></name> <name><surname>Pfeifer</surname> <given-names>M</given-names></name> <name><surname>Blaas</surname> <given-names>S</given-names></name> <name><surname>Salzberger</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Cardiopulmonary exercise pattern in patients with persistent dyspnoea after recovery from COVID-19</article-title>. <source>Multidiscip Respir Med.</source> (<year>2021</year>) <volume>16</volume>:<fpage>732</fpage>. <pub-id pub-id-type="doi">10.4081/mrm.2021.732</pub-id><pub-id pub-id-type="pmid">33623700</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>R</given-names></name> <name><surname>Geng</surname> <given-names>Q</given-names></name> <name><surname>Mo</surname> <given-names>X</given-names></name> <name><surname>Zhan</surname> <given-names>C</given-names></name> <name><surname>Jian</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>Cardiopulmonary exercise testing might be helpful for interpretation of impaired pulmonary function in recovered COVID-19 patients</article-title>. <source>Eur Respir J.</source> (<year>2021</year>) <volume>57</volume>:<fpage>4265</fpage>. <pub-id pub-id-type="doi">10.1183/13993003.04265-2020</pub-id><pub-id pub-id-type="pmid">33361097</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hughes</surname> <given-names>JM</given-names></name> <name><surname>Pride</surname> <given-names>NB</given-names></name></person-group>. <article-title>Examination of the carbon monoxide diffusing capacity (DL(CO)) in relation to its KCO and VA components</article-title>. <source>Am J Respir Crit Care Med.</source> (<year>2012</year>) <volume>186</volume>:<fpage>132</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.201112-2160CI</pub-id><pub-id pub-id-type="pmid">22538804</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nusair</surname> <given-names>S</given-names></name></person-group>. <article-title>Abnormal carbon monoxide diffusion capacity in COVID-19 patients at time of hospital discharge</article-title>. <source>Eur Respir J.</source> (<year>2020</year>) <volume>56</volume>:<fpage>1832</fpage>. <pub-id pub-id-type="doi">10.1183/13993003.01832-2020</pub-id><pub-id pub-id-type="pmid">32703822</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Passino</surname> <given-names>C</given-names></name> <name><surname>Severino</surname> <given-names>S</given-names></name> <name><surname>Poletti</surname> <given-names>R</given-names></name> <name><surname>Piepoli</surname> <given-names>MF</given-names></name> <name><surname>Mammini</surname> <given-names>C</given-names></name> <name><surname>Clerico</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Aerobic training decreases B-type natriuretic peptide expression and adrenergic activation in patients with heart failure</article-title>. <source>J Am Coll Cardiol.</source> (<year>2006</year>) <volume>47</volume>:<fpage>1835</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2005.12.050</pub-id><pub-id pub-id-type="pmid">16682309</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>M</given-names></name> <name><surname>Wong</surname> <given-names>CK</given-names></name> <name><surname>Un</surname> <given-names>KC</given-names></name> <name><surname>Lau</surname> <given-names>YM</given-names></name> <name><surname>Lee</surname> <given-names>JC</given-names></name> <name><surname>Tam</surname> <given-names>FC</given-names></name> <etal/></person-group>. <article-title>Cardiovascular sequalae in uncomplicated COVID-19 survivors</article-title>. <source>PLoS ONE.</source> (<year>2021</year>) <volume>16</volume>:<fpage>e0246732</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0246732</pub-id><pub-id pub-id-type="pmid">33571321</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>De Becker</surname> <given-names>P</given-names></name> <name><surname>Roeykens</surname> <given-names>J</given-names></name> <name><surname>Reynders</surname> <given-names>M</given-names></name> <name><surname>McGregor</surname> <given-names>N</given-names></name> <name><surname>De Meirleir</surname> <given-names>K</given-names></name></person-group>. <article-title>Exercise capacity in chronic fatigue syndrome</article-title>. <source>Arch Intern Med.</source> (<year>2000</year>) <volume>160</volume>:<fpage>3270</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1001/archinte.160.21.3270</pub-id><pub-id pub-id-type="pmid">11088089</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ciammola</surname> <given-names>A</given-names></name> <name><surname>Sassone</surname> <given-names>J</given-names></name> <name><surname>Sciacco</surname> <given-names>M</given-names></name> <name><surname>Mencacci</surname> <given-names>NE</given-names></name> <name><surname>Ripolone</surname> <given-names>M</given-names></name> <name><surname>Bizzi</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Low anaerobic threshold and increased skeletal muscle lactate production in subjects with Huntington&#x00027;s disease</article-title>. <source>Mov Disord.</source> (<year>2011</year>) <volume>26</volume>:<fpage>130</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1002/mds.23258</pub-id><pub-id pub-id-type="pmid">20931633</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>ACE</term>
<def><p>angiotensin converting enzyme</p></def></def-item>
<def-item><term>BMI</term>
<def><p>Body mass index</p></def></def-item>
<def-item><term>BR</term>
<def><p>Breathing reserve</p></def></def-item>
<def-item><term>CG</term>
<def><p>Control group</p></def></def-item>
<def-item><term>CK</term>
<def><p>Creatinine kinase</p></def></def-item>
<def-item><term>CPET</term>
<def><p>Cardiopulmonary exercise testing</p></def></def-item>
<def-item><term>DLCO</term>
<def><p>Diffusion capacity for carbon monoxide</p></def></def-item>
<def-item><term>FEV1</term>
<def><p>Forced expiratory volume in one second</p></def></def-item>
<def-item><term>HRpeak</term>
<def><p>Peak heart rate</p></def></def-item>
<def-item><term>ICU</term>
<def><p>Intensive care unit</p></def></def-item>
<def-item><term>KCO</term>
<def><p>carbon monoxide transfer factor</p></def></def-item>
<def-item><term>La</term>
<def><p>Blood lactate</p></def></def-item>
<def-item><term>LDH</term>
<def><p>lactate dehydrogenase</p></def></def-item>
<def-item><term>LLN</term>
<def><p>lower limit of normal</p></def></def-item>
<def-item><term>MVV</term>
<def><p>maximum minute ventilation</p></def></def-item>
<def-item><term>NIV</term>
<def><p>non-invasive ventilation</p></def></def-item>
<def-item><term>NT- pro BNP</term>
<def><p>Pro-brain natiuretic peptide</p></def></def-item>
<def-item><term>Post-CoVG</term>
<def><p>Post-COVID-infection group</p></def></def-item>
<def-item><term>QoL</term>
<def><p>quality of life</p></def></def-item>
<def-item><term>RER</term>
<def><p>Respiratory exchange ratio</p></def></def-item>
<def-item><term>RV</term>
<def><p>Residual volume</p></def></def-item>
<def-item><term>SARS-CoV-2</term>
<def><p>Severe acute respiratory syndrome coronavirus type 2</p></def></def-item>
<def-item><term>6-MWT</term>
<def><p>Six-minute walking test</p></def></def-item>
<def-item><term>TLC</term>
<def><p>Total lung capacity</p></def></def-item>
<def-item><term>VC</term>
<def><p>Vital capacity</p></def></def-item>
<def-item><term>VCO<sub>2</sub></term>
<def><p>carbon dioxide output</p></def></def-item>
<def-item><term>VE</term>
<def><p>minute ventilation</p></def></def-item>
<def-item><term>VE/VO<sub>2</sub></term>
<def><p>Ventilatory equivalent for oxygen uptake</p></def></def-item>
<def-item><term>VE/VCO<sub>2</sub></term>
<def><p>Ventilatory equivalent for carbon dioxide production</p></def></def-item>
<def-item><term>VO<sub>2</sub></term>
<def><p>Oxygen uptake</p></def></def-item>
<def-item><term>VT1</term>
<def><p>First ventilatory threshold</p></def></def-item>
<def-item><term>VT2</term>
<def><p>Second ventilatory threshold</p></def></def-item>
<def-item><term>Wpeak</term>
<def><p>Peak workload.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article> 