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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2022.881765</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Multisystem Inflammatory Syndrome Temporally Related to COVID-19 in Children From Latin America and the Caribbean Region: A Systematic Review With a Meta-Analysis of Data From Regional Surveillance Systems</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ruvinsky</surname> <given-names>Silvina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1383555/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Voto</surname> <given-names>Carla</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1720941/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Roel</surname> <given-names>Macarena</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1691717/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fusti&#x00F1;ana</surname> <given-names>Ana</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1758920/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Veliz</surname> <given-names>Natalia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1720272/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Brizuela</surname> <given-names>Martin</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1429760/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rodriguez</surname> <given-names>Susana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1720041/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ulloa-Gutierrez</surname> <given-names>Rolando</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/877391/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bardach</surname> <given-names>Ariel</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1691680/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Coordinaci&#x00F3;n de Investigaci&#x00F3;n Cl&#x00ED;nica y Sanitaria, Hospital de Pediatr&#x00ED;a &#x201C;Prof. Dr. Juan P. Garrahan&#x201D;</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff2"><sup>2</sup><institution>Servicio de Emergencias, Hospital de Pediatr&#x00ED;a &#x201C;Prof. Dr. Juan P. Garrahan&#x201D;</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff3"><sup>3</sup><institution>&#x00C1;rea de Internaci&#x00F3;n, Hospital de Pediatr&#x00ED;a &#x201C;Prof. Dr. Juan P. Garrahan&#x201D;</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff4"><sup>4</sup><institution>Hospital General de Agudos &#x201C;V&#x00E9;lez Sarsfield&#x201D;</institution>, <addr-line>Ciudad Aut&#x00F3;noma de Buenos Aires</addr-line>, <country>Argentina</country></aff>
<aff id="aff5"><sup>5</sup><institution>Servicio de Infectolog&#x00ED;a, Hospital Nacional de Ni&#x00F1;os Dr. Carlos S&#x00E1;enz Herrrera, Caja Costarricense de Seguro Social &#x0026; Universidad de Ciencias M&#x00E9;dicas (UCIMED)</institution>, <addr-line>San Jos&#x00E9;</addr-line>, <country>Costa Rica</country></aff>
<aff id="aff6"><sup>6</sup><institution>Center for Research in Epidemiology and Public Health, Institute for Clinical Effectiveness and Health Policy (IECS) and National Scientific and Technical Research Council (CONICET)</institution>, <addr-line>Buenos Aires</addr-line>, <country>Argentina</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sandra Trapani, Meyer Children&#x2019;s Hospital, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Saul Flores, Texas Children&#x2019;s Hospital, United States; Maria Teresa Terreri, Federal University of S&#x00E3;o Paulo, Brazil</p></fn>
<corresp id="c001">&#x002A;Correspondence: Silvina Ruvinsky, <email>sruvinsky@garrahan.gov.ar</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>ORCID: Silvina Ruvinsky, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0001-8729-1119">orcid.org/0000-0001-8729-1119</ext-link>; Rolando Ulloa-Gutierrez, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-9157-9227">orcid.org/0000-0002-9157-9227</ext-link>; Ariel Bardach, <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0003-4437-0073">orcid.org/0000-0003-4437-0073</ext-link></p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to General Pediatrics and Pediatric Emergency Care, a section of the journal Frontiers in Pediatrics</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>881765</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Ruvinsky, Voto, Roel, Fusti&#x00F1;ana, Veliz, Brizuela, Rodriguez, Ulloa-Gutierrez and Bardach.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ruvinsky, Voto, Roel, Fusti&#x00F1;ana, Veliz, Brizuela, Rodriguez, Ulloa-Gutierrez and Bardach</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>With the emergence of the COVID-19 pandemic, increasing numbers of cases of the multisystem inflammatory syndrome in children (MIS-C) have been reported worldwide; however, it is unclear whether this syndrome has a differential pattern in children from Latin America and the Caribbean (LAC). We conducted a systematic review and meta-analysis to analyze the epidemiological, clinical, and outcome characteristics of patients with MIS-C in LAC countries.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic literature search was conducted in the main electronic databases and scientific meetings from March 1, 2020, to June 30, 2021. Available reports on epidemiological surveillance of countries in the region during the same period were analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>Of the 464 relevant studies identified, 23 were included with 592 patients with MIS-C from LAC. Mean age was 6.6 years (IQR, 6&#x2013;7.4 years); 60% were male. The most common clinical manifestations were fever, rash, and conjunctival injection; 59% showed Kawasaki disease. Pool proportion of shock was 52%. A total of 47% of patients were admitted to the pediatric intensive care unit (PICU), 23% required mechanical ventilation, and 74% required vasoactive drugs. Intravenous gamma globulin alone was administered in 87% of patients, and in combination with steroids in 60% of cases. Length of hospital stay was 10 days (IQR, 9&#x2013;10) and PICU stay 5.75 (IQR, 5&#x2013;6). Overall case fatality ratio was 4% and for those hospitalized in the PICU it was 7%.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Limited information was available on the clinical outcomes. Improvements in the surveillance system are required to obtain a better epidemiologic overview in the region.</p>
</sec>
</abstract>
<kwd-group>
<kwd>MIS-C</kwd>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV2</kwd>
<kwd>children and adolescents</kwd>
<kwd>prevalence</kwd>
<kwd>prognosis</kwd>
<kwd>use of resources</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="67"/>
<page-count count="12"/>
<word-count count="7833"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>COVID-19 is usually mild in pediatric patients (<xref ref-type="bibr" rid="B2">2</xref>). Children presenting with severe shock-like syndrome, incomplete Kawasaki disease (KD), or toxic shock syndrome (<xref ref-type="bibr" rid="B3">3</xref>) were reported in the United Kingdom and Italy in April 2020. Subsequently, children with a similar clinical presentation were also reported in the rest of Europe, America, and South Africa (<xref ref-type="bibr" rid="B4">4</xref>). The entity was identified as multisystem inflammatory syndrome in children (MIS-C) associated with SARS-CoV-2 infection with a spectrum of manifestations, such as KD, toxic shock syndrome, sepsis, and macrophage activation syndrome.</p>
<p>The World Health Organization (WHO) (<xref ref-type="bibr" rid="B5">5</xref>), the Center for Disease Prevention and Control (CDC) (<xref ref-type="bibr" rid="B6">6</xref>), and the Royal College of Pediatrics and Child Health of the United Kingdom (RCPCH) (<xref ref-type="bibr" rid="B7">7</xref>) issued definitions for case identification. Systematic reviews based on case reports, case series, and observational studies have been published; however, these include children from different backgrounds and ethnicities, mainly from Europe and North America. MIS-C appears to vary between regions, with few cases reported in children from Asia (<xref ref-type="bibr" rid="B8">8</xref>). Poor accessibility to the health system and delay in diagnosis and treatment in countries with limited resources may lead to a poor prognosis in children with MIS-C in Latin America and the Caribbean region (LAC). Some research has been conducted in LAC, but the topic is largely unexplored. Existing data come from specific collaborative networks of intensive therapists, cardiologists, rheumatologists, and pediatric infectious disease practitioners in the region, but these findings have not been routinely collected or analyzed. To our knowledge, there are no published systematic reviews that include surveillance data and epidemiological records about MIS-C in Latin American children.</p>
<p>The current study aimed to describe the clinical course, laboratory findings, epidemiology, treatment, and use of resources of MIS-C in children from LAC through a systematic review and a meta-analysis incorporating data from regional surveillance systems.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>For this systematic review and meta-analysis, we followed the Cochrane methods and the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="bibr" rid="B9">9</xref>) statement for reporting results. The protocol for the present systematic review was registered (<xref ref-type="bibr" rid="B10">10</xref>) in the University of York&#x2019;s PROSPERO database (CRD42021242505).</p>
<p>Risk of bias was assessed by two reviewers. Disagreements were resolved by consensus of the entire team. If consensus could not be reached, the conflict was resolved by a third reviewer.</p>
<p>For cohort and cross-sectional studies, the NIH instrument was used to score 14 items. Six studies were assessed as fair quality and three as good quality, with a score as having a moderate-to-low risk of bias. The best scores were for research questions and population selection. On the other hand, the included case series had a quality assessment as poor in five, fair in seven and good quality in one, with a high risk of bias. The only included case-control study received a fair quality score with a moderate-to-high risk of bias. In summary, most of the included studies were rated as being of low-to-moderate methodological quality with a moderate-to-high risk of bias. Risk of bias is shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 2</xref>&#x2013;<xref ref-type="supplementary-material" rid="DS1">4</xref>.</p>
<p>We applied an arc-sine transformation to stabilize the variance of proportions following the Freeman-Tukey variant of the arc-sine square root of transformed proportions method (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<sec id="S2.SS1">
<title>Eligibility Criteria</title>
<p>Comparative and non-comparative study designs were included regardless of publication status, publication year, or language. Studies without a clear denominator, narrative and case series reviews, and articles with unavailable full text and systematic reviews (SRs) were excluded; however, the reference lists of SRs on the subject were examined for relevant studies.</p>
<p>We searched the Latin-American and Caribbean Health Sciences Literature (LILACS), Medline, Embase, SciELO, Cochrane Library database, and WHO Database publications on MIS-C and SARS-CoV-2 and CRD York Prospero and preprint databases (ArXiv, BiorXiv, medRxiv, search.bioPreprint). We also searched the proceedings of international, national, or regional (LAC) scientific meetings from March 1st, 2020, to June 30th, 2021. The search strategies utilized can be found in <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>.</p>
</sec>
<sec id="S2.SS2">
<title>Outcomes of Interest</title>
<p>We explored epidemiological outcomes (prevalence, incidence, mortality), use of resources, clinical outcomes and complications, laboratory findings, and overlap with KD.</p>
</sec>
<sec id="S2.SS3">
<title>Study Selection, Data Extraction, and Assessment of the Risk of Bias in Included Studies</title>
<p>Pairs of reviewers independently screened articles for selection, evaluating titles and abstracts of studies. Discrepancies were solved by consensus of the whole team. We used COVIDENCE Software (<xref ref-type="bibr" rid="B12">12</xref>) for the initial phases of the systematic review. We also explored the reports of passive surveillance report systems from Pan American Health Organization (PAHO) and LAC countries.</p>
<p>Potentially eligible studies were retrieved in full text, and two reviewers independently extracted and assessed the risk of bias. Disagreements were also resolved by discussion among the review team members. For data extraction an online spreadsheet was used. This was piloted initially on ten papers to refine the process. The research team extracted study characteristics (type of publication, year published, authors, geographic location, study design including risk of bias method), population characteristics, and outcomes (incidence rate, specific mortality, and fatality rate). Authors of articles were contacted when necessary for <xref ref-type="supplementary-material" rid="DS1">Supplementary Information</xref>.</p>
<p>The risk of bias of observational studies and the control arm of trials was assessed using a checklist developed by the United States National Heart, Lung, and Blood Institute (<xref ref-type="bibr" rid="B13">13</xref>), which classifies studies as high (Poor), moderate (Fair), and low (Good) risk of bias. Cross-sectional and case series require 14 items, while cohort studies require nine items and case-control studies require 12 items.</p>
</sec>
<sec id="S2.SS4">
<title>Data Synthesis</title>
<p>To analyze the data, proportion meta-analyses were conducted. We applied arc-sine transformation to stabilize the variance of proportions (Freeman-Tukey variant of the arc-sine square-root of transformed proportions method), y = arcsine[&#x221A;(r/(n + 1))] + arcsine[&#x221A;(r/(n + 1)/(n + 1)], with variance of 1/(n + 1), where n is the population size. Pooled proportions were calculated as the back-transformation of the weighted mean of the transformed proportions, using inverse arcsine variance weights for the fixed and random-effects model. We applied DerSimonian-Laird weights for the random-effects model where heterogeneity between studies was found. We calculated the I<sup>2</sup> statistic to measure the proportion of the overall variation attributable to between-study heterogeneity. The R software package <italic>meta</italic> and its functions <italic>metamean</italic>, <italic>metaprop</italic>, and <italic>forest.meta</italic>, and STATA 14.0 were used. Extracted data were synthesized using both descriptive and meta-analytic approaches by outcome measures (RRs or Mantel-Haenszel ORs) or (Peto ORs) for dichotomous data. Mean difference (MD) and 95% confidence interval (CI) were reported for all outcomes for continuous data. We used simple descriptive statistics whenever impossible to calculate association measurements.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<p>The search strategy yielded 464 potentially relevant studies in the databases. <xref ref-type="fig" rid="F1">Figure 1</xref> shows a diagram of the study selection process. Twenty-three full-text studies that met the inclusion criteria for data synthesis were included. All were observational studies with 13 case series, seven cohort studies, two cross-sectional studies, and one case-control study. In addition, surveillance system reports were included for separate analysis. The most frequent reasons for exclusion were wrong study design (<italic>N</italic> = 15), wrong country (<italic>N</italic> = 7), wrong outcomes (<italic>N</italic> = 6), adult population (<italic>N</italic> = 3), and three studies were left out because they reported fewer than three cases. The included studies collected data from 592 patients from Peru, Brazil, Argentina, Chile, Costa Rica, Colombia, Mexico, Venezuela, and other countries. The main characteristics of clinical studies of MIS-C included are described in <xref ref-type="table" rid="T1">Table 1</xref>. The mean age reported was 6.6 years (IQR, 6&#x2013;7.4 years); 355 (60%) were male (95% CI, 55&#x2013;65). A list of excluded studies during the full text assessment can be found in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 5 (65</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>PRISMA 2020 study flow diagram. The PRISMA 2020 checklist and the evidence quality scores of the articles included (risk of bias) can be found in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-10-881765-g001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Characteristics of the clinical studies of MIS-C identified in Latin America and the Caribbean (<italic>N</italic> = 23).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">References</td>
<td valign="top" align="left">Country</td>
<td valign="top" align="left">Outcomes</td>
<td valign="top" align="center">Number of patients</td>
<td valign="top" align="center">Study design</td>
<td valign="top" align="center">Time period</td>
<td valign="top" align="center">Age (years) Mean (<italic>SD</italic>)</td>
<td valign="top" align="center">Male/<break/>Female</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Coronado Mu&#x00F1;oz et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Clinical manifestations (mortality during hospitalization)</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">March-August, 2020</td>
<td valign="top" align="center">7 (5.4)</td>
<td valign="top" align="center">15/6</td>
</tr>
<tr>
<td valign="top" align="left">Seery et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Laboratory features</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">May-Oct, 2020</td>
<td valign="top" align="center">6 (5.9)</td>
<td valign="top" align="center">16/5</td>
</tr>
<tr>
<td valign="top" align="left">Coila Paricahua et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Use of resources</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">April-Oct, 2020</td>
<td valign="top" align="center">8 (2.6)</td>
<td valign="top" align="center">7/6</td>
</tr>
<tr>
<td valign="top" align="left">Torres et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies, and use of resources</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">May-June, 2020</td>
<td valign="top" align="center">6<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">14/13</td>
</tr>
<tr>
<td valign="top" align="left">De Coll-Vela et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies, and treatment</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">May-June, 2020</td>
<td valign="top" align="center">5.5<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">5/3</td>
</tr>
<tr>
<td valign="top" align="left">Sandoval et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Clinical manifestations (neurologic manifestations)</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">April&#x2013;July, 2020</td>
<td valign="top" align="center">6.5<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Fontes (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">July&#x2013;Dec, 2020</td>
<td valign="top" align="center">8<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">25/17</td>
</tr>
<tr>
<td valign="top" align="left">Lima-Setta et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies, and treatment</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">March&#x2013;July, 2020</td>
<td valign="top" align="center">6.2 (5.9)</td>
<td valign="top" align="center">39/17</td>
</tr>
<tr>
<td valign="top" align="left">del Aguila et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Clinical manifestations (Kawasaki, shock), use of resources (ICU, ventilation)</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">Apri&#x2013;August, 2020</td>
<td valign="top" align="center">8 (4.4)</td>
<td valign="top" align="center">25/12</td>
</tr>
<tr>
<td valign="top" align="left">&#x00C1;lvarez et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Clinical manifestations (Kawasaki, shock), use of resources (ICU)</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">May-July, 2020</td>
<td valign="top" align="center">6.2<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">14/9</td>
</tr>
<tr>
<td valign="top" align="left">Ni&#x00F1;o-Taravilla et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Chile, Colombia, Peru, Others</td>
<td valign="top" align="left">Use of resources (mechanical ventilation, inotropic support, complementary studies)</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">May-August, 2020</td>
<td valign="top" align="center">6.5 (6.3)</td>
<td valign="top" align="center">15/11</td>
</tr>
<tr>
<td valign="top" align="left">Ivankovich-Escoto et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Costa Rica</td>
<td valign="top" align="left">Clinical manifestations</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">5.4 (2.1)</td>
<td valign="top" align="center">7/4</td>
</tr>
<tr>
<td valign="top" align="left">Brenes-Chac&#x00F3;n et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Costa Rica</td>
<td valign="top" align="left">Clinical manifestations</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">March 2020&#x2013;January 2021</td>
<td valign="top" align="center">6.2<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">12/14</td>
</tr>
<tr>
<td valign="top" align="left">Guti&#x00E9;rrez-Hidalgo et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Costa Rica</td>
<td valign="top" align="left">Clinical manifestations, use of resources</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">7 (4.9)</td>
<td valign="top" align="center">2/2</td>
</tr>
<tr>
<td valign="top" align="left">Luna-Mu&#x00F1;oz et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Clinical manifestations, use of resources</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">June-August, 2020</td>
<td valign="top" align="center">7 (2.4)</td>
<td valign="top" align="center">7/3</td>
</tr>
<tr>
<td valign="top" align="left">de Farias et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies, and use of resources</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">April&#x2013;June, 2020</td>
<td valign="top" align="center">4.9 (3)</td>
<td valign="top" align="center">9/2</td>
</tr>
<tr>
<td valign="top" align="left">Duarte-Neto et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies, and treatment</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Case series</td>
<td valign="top" align="center">March&#x2013;August, 2020</td>
<td valign="top" align="center">8 (2.2)</td>
<td valign="top" align="center">1/2</td>
</tr>
<tr>
<td valign="top" align="left">Ant&#x00FA;nez-Montes et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Mexico, Colombia, Peru, Costa Rica, Brazil</td>
<td valign="top" align="left">Clinical manifestations, complementary studies, treatment, and use of resources</td>
<td valign="top" align="center">95</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">June&#x2013;August, 2020</td>
<td valign="top" align="center">7<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">52/43</td>
</tr>
<tr>
<td valign="top" align="left">Rosanova et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies and treatment</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">Case control</td>
<td valign="top" align="center">April&#x2013;October, 2020</td>
<td valign="top" align="center">8.7<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">9/16</td>
</tr>
<tr>
<td valign="top" align="left">Prata-Barbosa et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations, laboratory features, complementary studies</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">March&#x2013;May, 2020</td>
<td valign="top" align="center">5.2 (5.1)</td>
<td valign="top" align="center">8/2</td>
</tr>
<tr>
<td valign="top" align="left">Yock-Corrales et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Argentina, Colombia, Costa Rica, Mexico, Peru</td>
<td valign="top" align="left">Use of resources (antibiotic use)</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">Cohort</td>
<td valign="top" align="center">April&#x2013;October, 2020</td>
<td valign="top" align="center">6 (3.5)</td>
<td valign="top" align="center">45/24</td>
</tr>
<tr>
<td valign="top" align="left">Pereira et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Clinical manifestations, laboratory features and use of resources</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">Cross-sectional</td>
<td valign="top" align="center">April&#x2013;June, 2020</td>
<td valign="top" align="center">7.8<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">5/1</td>
</tr>
<tr>
<td valign="top" align="left">Dom&#x00ED;nguez Rojas et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">Peru</td>
<td valign="top" align="left">Clinical manifestations and treatment</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">Cross-sectional</td>
<td valign="top" align="center">March&#x2013;August, 2020</td>
<td valign="top" align="center">5.4<xref ref-type="table-fn" rid="t1fn1">&#x002A;</xref></td>
<td valign="top" align="center">18/13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fn1"><p><italic>&#x002A;SD not reported; NR, Not reported.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3.SS1">
<title>Clinical Characteristics of the Study Population</title>
<p>A total of 23 studies with 592 patients with confirmed MIS-C associated with SARS-CoV-2 infection were included. Of the 23 studies, 11 mentioned following the CDC criteria for MIS-C definition in at least some of the included patients (<italic>n</italic> = 291), six followed the WHO criteria (110 patients), and one the RCPCH criteria (37 patients). One study with a total of 26 patients used the criteria by the Public Health Ministry of Chile. Most studies were case series (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The principal outcomes analyzed were laboratory features, clinical manifestations and outcome, complementary studies, treatment, and use of resources. In most of the studies included, the male sex was predominant (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Clinical Manifestations</title>
<p>Most patients reported were previously healthy, while 32% had a history of one or more comorbidities, most frequently obesity, diabetes, chronic pulmonary disease, heart disease, immunocompromised, neurologic disease, and liver or kidney disease. Near half of the patients had contact with a confirmed SARS-CoV-2-infection case. One-third of the patients analyzed had positive RT-PCR SARS-CoV-2 tests, and 74% had positive SARS-CoV-2 serology tests (<xref ref-type="table" rid="T2">Table 2</xref>). The most frequent clinical manifestations were fever, rash, and conjunctival injection. KD was reported in 12 studies with a total of 161 of 273 patients (pool proportion 61%; 95% CI, 48&#x2013;79%). Shock was present in 142 of 331 with a pool proportion of 52% (<xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Clinical characteristics, laboratory features, and use of resources: meta-analyses.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Studies (<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref>), n/N</td>
<td valign="top" align="center">Cases/Total, n/N</td>
<td valign="top" align="center">Pooled proportion [95% CI] from meta-analyses</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years (median, IQR)</td>
<td valign="top" align="center">23/23</td>
<td valign="top" align="center">592/592</td>
<td valign="top" align="center">6.5 years (6&#x2013;7.4 years)</td>
</tr>
<tr>
<td valign="top" align="left">Male sex</td>
<td valign="top" align="center">23/23</td>
<td valign="top" align="center">355/592</td>
<td valign="top" align="center">0.60 [0.55&#x2013;0.65]</td>
</tr>
<tr>
<td valign="top" align="left">Previously healthy</td>
<td valign="top" align="center">16/23</td>
<td valign="top" align="center">250/433</td>
<td valign="top" align="center">0.71 [0.52&#x2013;0.84]</td>
</tr>
<tr>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="center">9/23</td>
<td valign="top" align="center">18/179</td>
<td valign="top" align="center">0.11 [0.06&#x2013;0.20]</td>
</tr>
<tr>
<td valign="top" align="left">Close contact</td>
<td valign="top" align="center">14/23</td>
<td valign="top" align="center">153/317</td>
<td valign="top" align="center">0.59 [0.39&#x2013;0.76]</td>
</tr>
<tr>
<td valign="top" align="left">Positive PCR</td>
<td valign="top" align="center">18/23</td>
<td valign="top" align="center">139/449</td>
<td valign="top" align="center">0.32 [0.22&#x2013;0.44]</td>
</tr>
<tr>
<td valign="top" align="left">Positive serology</td>
<td valign="top" align="center">20/23</td>
<td valign="top" align="center">302/472</td>
<td valign="top" align="center">0.74 [0.58&#x2013;0.86]</td>
</tr>
<tr>
<td valign="top" align="left">Fever</td>
<td valign="top" align="center">18/23</td>
<td valign="top" align="center">378/423</td>
<td valign="top" align="center">0.99 [0.9&#x2013;1]</td>
</tr>
<tr>
<td valign="top" align="left">Rash</td>
<td valign="top" align="center">11/23</td>
<td valign="top" align="center">167/258</td>
<td valign="top" align="center">0.74 [0.51&#x2013;0.89]</td>
</tr>
<tr>
<td valign="top" align="left">Conjunctival injection</td>
<td valign="top" align="center">11/23</td>
<td valign="top" align="center">149/264</td>
<td valign="top" align="center">0.67 [0.42&#x2013;0.86]</td>
</tr>
<tr>
<td valign="top" align="left">Kawasaki disease (KD)</td>
<td valign="top" align="center">12/23</td>
<td valign="top" align="center">161/273</td>
<td valign="top" align="center">0.61 [0.48&#x2013;0.79]</td>
</tr>
<tr>
<td valign="top" align="left">Shock</td>
<td valign="top" align="center">16/23</td>
<td valign="top" align="center">142/331</td>
<td valign="top" align="center">0.52 [0.34&#x2013;0.70]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p><italic>(&#x002A;) (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Fifteen studies reported patients with one or more gastrointestinal symptoms; diarrhea was the most common (221 patients, 60%), followed by abdominal pain (175 patients, 47%), and vomiting (144 patients, 38%). Respiratory symptoms were reported in 16 studies with 372 patients; cough was the most common symptom (94 patients, 25%), followed by dyspnea (42 patients, 11%).</p>
<p>In 11/23 studies neurological manifestations were reported, of which headache was the most common (82 patients, 23%). Eleven studies reported mucocutaneous symptoms, most commonly rash and conjunctival injections, followed by edema (45 patients, 17%) and lymphadenopathy (15 patients, 6%).</p>
<p>Inflammatory status was confirmed by laboratory tests in most studies (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). CRP and D-dimer were elevated. Lymphopenia was observed in most patients. A slight decrease of albumin level was also reported.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Laboratory findings, pooled results: meta-analyses.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Studies (<xref ref-type="table-fn" rid="t3fn1">&#x002A;</xref>), <italic>n</italic>/N</td>
<td valign="top" align="center">Random effects (Mean [95% CI])</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>C-reactive protein (CRP)</bold></td>
<td valign="top" align="center">12/23</td>
<td valign="top" align="center">19.8 [14.27&#x2013;27.54] mg/dL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Ferritin</bold></td>
<td valign="top" align="center">11/23</td>
<td valign="top" align="center">394.46 [294.6&#x2013;528] ng/mL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>D-dimer</bold></td>
<td valign="top" align="center">11/23</td>
<td valign="top" align="center">3,275 [2,504&#x2013;4,285] ng/mL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Lymphocyte count</bold></td>
<td valign="top" align="center">5/23</td>
<td valign="top" align="center">1,196 [1,087&#x2013;1,316] cell/mm3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Platelets</bold></td>
<td valign="top" align="center">9/23</td>
<td valign="top" align="center">182,745 [172,931&#x2013;193,116] cell/mm3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Albumin</bold></td>
<td valign="top" align="center">7/23</td>
<td valign="top" align="center">2.83 [2.64&#x2013;3.02] g/dL</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fn1"><p><italic>(&#x002A;) (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Cardiac Involvement in Patients With and Without Kawasaki Disease</title>
<p>Of the total 273 patients included, 59% (<italic>N</italic> = 161) were patients meeting KD criteria. In these reports, 32% (<italic>N</italic> = 87 patients) had abnormal echocardiograms, 21% (<italic>N</italic> = 59 patients) had pericarditis or pericardial effusion, 12.8% (<italic>N</italic> = 35) ventricular dysfunction, 14% (<italic>N</italic> = 38) coronary aneurysm/dilatation/abnormality, 8% (<italic>N</italic> = 23) myocarditis, 2,5% (<italic>N</italic> = 7) valvular dysfunction, 4% (<italic>N</italic> = 12) abnormal ECG, while 15% (<italic>N</italic> = 41) of the patients had elevated BNP and troponin levels.</p>
<p>A total of 11 reports analyzed cardiac involvement in 319 patients without KD; 8% (<italic>N</italic> = 28) had abnormal echocardiograms, 3% (<italic>N</italic> = 11) pericarditis or pericardial effusion, 2.5% (<italic>N</italic> = 8) myocarditis, 2% (<italic>N</italic> = 7) ventricular dysfunction, 4% (<italic>N</italic> = 13) coronary aneurysm/dilatation/abnormality, without valvular dysfunction or abnormal ECG, 1.6% (<italic>N</italic> = 5) had elevated BNP levels and 1.2% (<italic>N</italic> = 4) had elevated troponin levels (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref>).</p>
</sec>
<sec id="S3.SS4">
<title>Treatment and Use of Resource</title>
<p><xref ref-type="fig" rid="F2">Figure 2</xref> shows the Forest plots with meta-analyses of the different treatments administered. Most patients received antibiotics and gamma globulin alone or in combination with corticosteroids; only seven patients received tocilizumab or siltuximab. A pool of 47% of the patients received anticoagulants.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Forest plots of the frequencies of treatments administered in MIS-C patients in Latin America. <bold>(A)</bold> Antibiotics, <bold>(B)</bold> Intravenous Gamma Globulin, <bold>(C)</bold> Anticoagulants, and <bold>(D)</bold> Steroids.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-10-881765-g002.tif"/>
</fig>
<p>As regards the use of resources (<xref ref-type="fig" rid="F3">Figure 3</xref>) in 7/23 studies, median PICU stay reported was 5.75 (IQR, 5&#x2013;6 days), and in 9/23 studies, median hospital stay was 10 days (IQR 9&#x2013;10). Overall case fatality rate observed was 4% (25/592).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Forest plots of length of stay of patients in the PICU <bold>(A)</bold> or on the general ward <bold>(B)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-10-881765-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Clinical, Laboratory, and Outcome of Multisystem Inflammatory Syndrome in Children in the Subgroup of Patients Admitted to the Pediatric Intensive Care Unit</title>
<p>In fifteen studies with a total of 415 patients, need for PICU admission was reported in 47% (195 patients). Six studies described severe MIS-C requiring intensive care; four studies were from Brazil, one from Peru, and the remaining one from Chile. Severe MIS-C occurred in males in 71% of cases and 34% had one or more comorbidities. Fever was observed in 98% of children and cardiovascular impairment in 85%. Mechanical ventilation was required in 23%. In only four studies, vasoactive drugs were used in 74% of the children. Most patients were treated with IVIG (88%), and 70% received steroids, 68% aspirin, and 58% anticoagulation. The overall mortality rate in patients with MIS-C admitted to the PICU was 7%. Clinical features, laboratory characteristics, and resource utilization in patients requiring PICU are described in <xref ref-type="table" rid="T4">Table 4</xref> and in <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 8</xref>&#x2013;<xref ref-type="supplementary-material" rid="DS1">10</xref>.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Pooled meta-analyses in MIS-C patients admitted to the PICU.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Studies, <italic>n</italic>/<italic>N</italic> (<xref ref-type="table-fn" rid="t4fn1">&#x002A;</xref>)</td>
<td valign="top" align="center">Random effects (Mean [95% CI])</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Age</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">5.15 [5.01&#x2013;6.61] years</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Male</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">73% [63&#x2013;82%]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Platelets</bold></td>
<td valign="top" align="center">4/5</td>
<td valign="top" align="center">145,344 [115,027&#x2013;183,652] cell/mm3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>C-reactive protein (CRP)</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">25.9 [10.76&#x2013;62.37] mg/dL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Ferritin</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">469.99 [372.52&#x2013;592.97] ng/mL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>D-dimer</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">3465.55 [3,031&#x2013;3,961] ng/mL</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Non-invasive ventilation</bold></td>
<td valign="top" align="center">3/5</td>
<td valign="top" align="center">12% [4&#x2013;33%]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Mechanical ventilation</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">36% [11&#x2013;70%]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Inotropes</bold></td>
<td valign="top" align="center">3/5</td>
<td valign="top" align="center">73% [55&#x2013;85%]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>IVIG</bold></td>
<td valign="top" align="center">4/5</td>
<td valign="top" align="center">88% [79&#x2013;93%]</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Steroids</bold></td>
<td valign="top" align="center">5/5</td>
<td valign="top" align="center">64% [28&#x2013;89%]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fn1"><p><italic>(&#x002A;) (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS6">
<title>Data Analysis From Regional Surveillance System Reports</title>
<p>Among the countries from the Region of the Americas, Brazil was one of the most severely affected, registering a total of 11,439,558 cumulative confirmed cases of COVID-19 in the general population and 277,102 deaths by March 13, 2021 (<xref ref-type="bibr" rid="B37">37</xref>). Data from the epidemiological surveillance system showed that in Brazil, among 14 epidemiological week reports in 2020 and 10 in 2021, a total of 813 cases of MIS-C and 51 deaths were recorded in children and adolescents aged 0&#x2013;19 years, with a mortality rate of 6.3%.</p>
<p>Most of the cases belonged to patients under 10 years of age, with 41% in the age group 0&#x2013;4 years, followed by 34% in the group 5&#x2013;9 years; 56.7% were male.</p>
<p>When analyzing Pan American Health Organization (PAHO) epidemiological reports, between May 2020 to March 2021, Brazil notified 769 confirmed cases of MIS-C and 47 deaths, a relatively lower number than the cases registered in the country&#x2019;s surveillance system for the same period analyzed (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>COVID-19 was reported in 19,433 cases in Chile during the period analyzed, 10.2% younger than 19 years old. Similarly, between the 15th weekly report in 2020 and the 12th in 2021, 174 MIS-C cases and 3 deaths were reported in children and adolescents under 19 years of age, with a mortality of 1.7%.</p>
<p>Regarding the temporal distribution of both events, the highest number of COVID-19 cases in children and adolescents was registered between the 23rd and 25th weekly epidemiological reports in 2020 and the 9th to 10th of 2021, while the highest number of MIS-C cases was reported a few weeks later, between the 25th and 28th weekly epidemiological reports in 2020 and the 10th of 2021, although in the latter period the absolute number of cases was lower. The mean age of MIS-C cases was 6 years (IQR 7&#x2013;9 years) and more than half of the patients, 99 (57%), were male (<xref ref-type="bibr" rid="B40">40</xref>). Between May 2020 and March 10th, 2021, Chile reported to PAHO 157 cases of MIS-C and two deaths (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>As of November 28, 2020, Ecuador recorded 190,909 confirmed cases of COVID-19 and 13,371 deaths (<xref ref-type="bibr" rid="B41">41</xref>). Until epidemiological week 48 in 2020, 128 suspected cases of MIS-C in children and adolescents were registered, with the highest number during epidemiological week 24&#x2013;25. Distribution by age group, most of the cases belonged to the 5&#x2013;9-year-old group (<italic>n</italic> = 45; 35.2%) and the 10&#x2013;14-year-old group (<italic>n</italic> = 33; 25.8%), 61.7% were male (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Among the 127 reported cases, three required critical care. By October 8, 2020, Ecuador reported to PAHO 7 confirmed cases, 16 probable and 90 cases with suspected MIS-C, and no deaths.</p>
<p>On September 2, 2020, the Dominican Republic recorded 113,962 confirmed cases of COVID-19 in the general population and 2,128 deaths 0.41 in 40 weekly epidemiological reports during 2020, the same country reported 65 cases of MIS-C and two deaths in children and adolescents aged 0&#x2013;15 years. Distribution by age group was like Brazil, with the 0&#x2013;4 age group being the most affected followed by the 5&#x2013;9 age group.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In our systematic review of MIS-C in LAC and analysis of data from regional surveillance systems performed we found significant heterogeneity. Most studies were case series. Countries included in our study were Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, Peru, and Venezuela. Health-Ministry data on MIS-C are very patchy and even the PAHO reports are deficient because limited information is available for Latin America and the Caribbean countries, related probably to the lack of mandatory notification of MIS-C in some countries.</p>
<p>Data from the epidemiological surveillance system show that during 2020, the highest number of MIS-C cases was observed around 3 weeks after the highest number of COVID-19 cases in children and adolescents in Chile. A 2&#x2013;5-week time lag has been observed between the peak of COVID-19 cases within communities and the increase in MIS-C cases. This suggests that acquired immunity may play a role in its development.</p>
<p>Likewise, it has been observed that the number of MIS-C cases reported by PAHO is lower than that reported by the epidemiological reports of the countries within similar temporal parameters. Nevertheless, this may be related to under-registration of cases due to differences in epidemiological records. Also, the reporting of data from the central level may not reflect the behavior of the surveillance system at the subnational level since delays in reports could occur due to the registration of a large number of suspected cases of COVID-19. MIS-C case fatality rate for the same period was lower in Chile than in Brazil according to country surveillance reports. Chilean MIS-C cases and mortality reported by PAHO were slightly lower than those recorded by the country&#x2019;s surveillance system for the same period. The pooled case fatality rate from 23 reports of 4% was slightly higher than the 1&#x2013;2% overall reported rate from other regions (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Similar to other regions, in LAC countries more than half the patients were male (<xref ref-type="bibr" rid="B45">45</xref>). The median age of the included patients was 6.6 years, slightly lower than 8&#x2013;9 years described in other populations. Apparently, the affected population in LAC is younger than in other regions, such as Europe and North America. It would be interesting to investigate possible causes, such as sociodemographic, ethnic, or other variables that could determine this difference (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>In general terms, the distribution of cases by sex was similar with a frequency of male sex between 51 and 58%. Gender was not related to severity of the clinical course; however, we observed that 73% of patients requiring PICU admission were male. In adults, male sex is a risk factor for severe COVID-19. Specifically, in a Latin-American study including data from patients with COVID-19 and MIS-C, girls had a lower frequency of hospitalization without differences in mortality among patients who developed MIS-C (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>In 59% of patients with MIS-C, close contact with a person with COVID-19 was described. This finding was more frequent than in other reviews reporting only 15&#x2013;20% (<xref ref-type="bibr" rid="B44">44</xref>). The high percentage of household infections in Latin-America may be related to overcrowded housing conditions and other socio-demographic factors. In most epidemiological surveillance registries from Chile and other Latin American countries, most cases were confirmed by clinical or epidemiological criteria with a low frequency of concomitant positive SARS-CoV-2 tests.</p>
<p>Around one-third of the patients had one or more comorbidities. This has also been described in other reviews, with a frequency between 20 and 25%. The most observed comorbidities were obesity and/or overweight, chronic respiratory diseases, onco-hematological diseases, and neurological disorders (<xref ref-type="bibr" rid="B64">64</xref>). This finding confirms previous reports showing that MIS-C predominantly affects healthy individuals (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). In most reviews, MIS-C diagnosis was made by serology in 60% to almost 90% of cases, while direct diagnostic methods such as PCR for SARS-CoV-2, were positive in swabs in less than of 40% of cases, similar to our findings. This would support the fact that MIS-C occurs as a post-infection phenomena (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>Regarding the presenting signs and symptoms, fever was the most frequent followed by gastrointestinal manifestations, rash, and conjunctival injection. Neurological, respiratory, and cardiological manifestations were also reported. In most reports, fever and abdominal or gastrointestinal symptoms (abdominal pain, diarrhea, and vomiting) are described as the most frequent (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B53">53</xref>). On the other hand, the presenting symptoms of MIS-C may mimic an acute abdomen, including acute appendicitis, as shown in a multicenter Latin-American study, in which 34/1,010 (3.3%) patients with COVID-19 and MIS-C had an intraoperative diagnosis of appendicitis (<xref ref-type="bibr" rid="B55">55</xref>). Furthermore, a systematic review of abdominal pain in MIS-C found an incidence of acute abdomen of 19%, which was non-surgical in most cases. Patients who required surgery due to appendicitis or obstruction were 17/72 (23.6%) patients with acute abdomen (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Mucocutaneous manifestations, such as rash were reported between 40 and 60%; conjunctivitis in 50%, similar to our study (<xref ref-type="bibr" rid="B52">52</xref>). Neurological involvement was less frequent, with headache, neck stiffness, and visual disturbances reported in 30% of cases (<xref ref-type="bibr" rid="B50">50</xref>). MIS-C patients generally have less respiratory symptoms than COVID-19 as reported in large series and reviews. In a systematic review, around 50% of the patients showed respiratory symptoms, including cough or dyspnea with radiological findings (<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>). A variable proportion of patients with MIS-C develop hypotension and shock because of acute myocardial dysfunction or hyperinflammatory state. In our study, hemodynamic involvement was less frequent compared to other reviews (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>In the current review, 59% of MIS-C cases had Kawasaki-like syndrome. Kaushik et al. reported cardiac involvement in MIS-C patients with Kawasaki-like syndrome, of whom 20% had coronary artery dilatation/aneurysms and hypotension and 28% shock, like our findings. Despite some similar phenotypic characteristics between MIS-C and KD, there are other differential parameters, such as age less than 5 years in children with KD and the fact that approximately 7% of KD patients present with cardiovascular collapse (KDSS). In our study, 49% of the patients evolved to shock (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>Inflammatory markers (CRP, D-dimer, and ferritin) were elevated and so was the incidence of lymphopenia. Feldstein et al. reported similar findings in patients with MIS-C compared to those with severe acute COVID-19 (<xref ref-type="bibr" rid="B8">8</xref>). In addition, in patients with MIS-C who required PICU admission we observed elevated inflammatory markers and lower lymphocyte and platelet counts compared to patients with MIS-C in general. These findings are consistent with other systematic reviews (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>When comparing the overall analysis of patients included in our study with that of the subgroup of those with severe MIS-C, an increased male predominance (71% vs. 59%), a higher frequency of comorbidities, higher CRP levels, and lower lymphopenia counts are found. Different series of patients with severe MIS-C reported similar features (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Tripathi et al. reported a comorbidity rate (33%) similar to our study (<xref ref-type="bibr" rid="B61">61</xref>). Mortality was higher when compared to that of developed countries (7% vs. 3&#x2013;4.7%), but lower than that observed in the Colombian MISCO study (9%) (<xref ref-type="bibr" rid="B61">61</xref>). It is likely that the delay in access to health care, diagnosis, and patient care explains, at least in part, this higher mortality and heterogeneity between countries in the region. In a report by Farias et al. a high frequency of pre-existing diseases and immunosuppression was found, which may have contributed to the high mortality rate.</p>
<p>IVIG and/or steroids are proposed as first-line treatment in patients with MIS-C, although to date there are no controlled studies comparing IVIG and corticosteroids alone or in combination. Some observational studies have found combination therapy to be beneficial. A French study including 111 patients with MIS-C found a lower rate of treatment failure in those who received combination therapy vs. IVIG as monotherapy (<xref ref-type="bibr" rid="B62">62</xref>). A US study in 518 MIS-C patients observed that combination therapy was associated with a lower risk of new or persistent cardiovascular dysfunction compared to IVIG alone. Both studies found a lower requirement for second-line therapy and hemodynamic support within 24&#x2013;48 h after initial treatment (<xref ref-type="bibr" rid="B63">63</xref>). On the other hand, a large study carried out in multiple countries comparing three treatment regimens (combination therapy, IVIG, or corticosteroids alone) found no differences in morbidity and mortality. Nevertheless, the selection and outcome criteria were different in the three studies (<xref ref-type="bibr" rid="B45">45</xref>). In our study, most patients received IVIG, in combination with corticosteroids in more than half of the patients.</p>
<p>In agreement with a study by Pereira et al. (<xref ref-type="bibr" rid="B35">35</xref>) we observed an increased use of antibiotics, related to the main differential diagnoses of MIS-C, septic shock, and toxic shock syndrome. Antibiotic prescriptions among MIS-C patients may not have been appropriate in most cases and antimicrobial stewardship should be explored in MIS-C patients. Tocilizumab or siltuximab were used only in a small number of patients.</p>
<p>Other frequently used medications as part of treatment were aspirin and anticoagulants. The wide variety of treatments used may have been due to the lack of knowledge of MIS-C, especially in the first months after described in Europe. In addition, many treatments are unavailable in the region due to their high costs. Most importantly, there is still no clear consensus on the treatments to be administered beyond the recommended use of IVIG and corticosteroids.</p>
<p>PICU admissions were less frequent than in other reports (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B48">48</xref>). One possible explanation is that at the moment that MIS-C started to be reported, no guidelines or alerts to detect and treat children with MIS-C were available. Use of resources in terms of length of hospital and PICU stay were like other reports (<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Information available from LAC was found to be limited, probably related to the lack of mandatory notification of MIS-C locally. One of the key limitations of the study is that most of the data reported were from case series and were highly heterogeneous. To our knowledge this is the first systematic review with meta-analysis incorporating data from regional surveillance systems from LAC.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>The results of the present study provide important information to help understanding MIS -C in children and adolescents from LAC. Epidemiological information in the region was very limited. Optimization of case registration and surveillance is needed. Knowledge about this syndrome and the impact of the recent introduction of COVID-19 vaccination schedules in several Latin American countries is still insufficient.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>SRu and AB conceived the study. CV, MR, AF, NV, MB, SRo, and RU-G collected and analyzed the studies included. SRu, CV, MR, AF, NV, MB, SRo, RU-G, and AB drafted the manuscript. All authors contributed and approved the final manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We thank Agust&#x00ED;n Ciapponi, epidemiologist from IECS for general guidance, and Daniel Comand&#x00E9;, librarian at IECS and Mar&#x00ED;a Andrea Lerda, librarian at Hospital de Pediatr&#x00ED;a Garrahan for their help with the search strategies.</p>
</ack>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2022.881765/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2022.881765/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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