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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0376422</journal-id><journal-id journal-id-type="pubmed-jr-id">6405</journal-id><journal-id journal-id-type="nlm-ta">Pediatrics</journal-id><journal-id journal-id-type="iso-abbrev">Pediatrics</journal-id><journal-title-group><journal-title>Pediatrics</journal-title></journal-title-group><issn pub-type="ppub">0031-4005</issn><issn pub-type="epub">1098-4275</issn></journal-meta><article-meta><article-id pub-id-type="pmid">34935038</article-id><article-id pub-id-type="pmc">9213563</article-id><article-id pub-id-type="doi">10.1542/peds.2021-053418</article-id><article-id pub-id-type="manuscript">HHSPA1776605</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Risk Factors for Severe COVID-19 in Children</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Woodruff</surname><given-names>Rebecca C.</given-names></name><degrees>PhD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Campbell</surname><given-names>Angela P.</given-names></name><degrees>MD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Taylor</surname><given-names>Christopher A.</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Chai</surname><given-names>Shua J.</given-names></name><degrees>MD, MPH</degrees><xref rid="A3" ref-type="aff">3</xref><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Kawasaki</surname><given-names>Breanna</given-names></name><degrees>MPH</degrees><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Meek</surname><given-names>James</given-names></name><degrees>MPH</degrees><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><name><surname>Anderson</surname><given-names>Evan J.</given-names></name><degrees>MD</degrees><xref rid="A7" ref-type="aff">7</xref><xref rid="A8" ref-type="aff">8</xref><xref rid="A9" ref-type="aff">9</xref></contrib><contrib contrib-type="author"><name><surname>Weigel</surname><given-names>Andy</given-names></name><degrees>MSW</degrees><xref rid="A10" ref-type="aff">10</xref></contrib><contrib contrib-type="author"><name><surname>Monroe</surname><given-names>Maya L.</given-names></name><degrees>MPH</degrees><xref rid="A11" ref-type="aff">11</xref></contrib><contrib contrib-type="author"><name><surname>Reeg</surname><given-names>Libby</given-names></name><degrees>MPH</degrees><xref rid="A12" ref-type="aff">12</xref></contrib><contrib contrib-type="author"><name><surname>Bye</surname><given-names>Erica</given-names></name><degrees>MPH</degrees><xref rid="A13" ref-type="aff">13</xref></contrib><contrib contrib-type="author"><name><surname>Sosin</surname><given-names>Daniel M.</given-names></name><degrees>MD, MPH</degrees><xref rid="A14" ref-type="aff">14</xref><xref rid="A15" ref-type="aff">15</xref></contrib><contrib contrib-type="author"><name><surname>Muse</surname><given-names>Alison</given-names></name><degrees>MPH</degrees><xref rid="A16" ref-type="aff">16</xref></contrib><contrib contrib-type="author"><name><surname>Bennett</surname><given-names>Nancy M.</given-names></name><degrees>MD, MS</degrees><xref rid="A17" ref-type="aff">17</xref></contrib><contrib contrib-type="author"><name><surname>Billing</surname><given-names>Laurie M.</given-names></name><degrees>MPH</degrees><xref rid="A18" ref-type="aff">18</xref></contrib><contrib contrib-type="author"><name><surname>Sutton</surname><given-names>Melissa</given-names></name><degrees>MD, MPH</degrees><xref rid="A19" ref-type="aff">19</xref></contrib><contrib contrib-type="author"><name><surname>Talbot</surname><given-names>H. Keipp</given-names></name><degrees>MD, MPH</degrees><xref rid="A20" ref-type="aff">20</xref></contrib><contrib contrib-type="author"><name><surname>McCaffrey</surname><given-names>Keegan</given-names></name><degrees>BA</degrees><xref rid="A21" ref-type="aff">21</xref></contrib><contrib contrib-type="author"><name><surname>Pham</surname><given-names>Huong</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Patel</surname><given-names>Kadam</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref><xref rid="A22" ref-type="aff">22</xref></contrib><contrib contrib-type="author"><name><surname>Whitaker</surname><given-names>Michael</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>McMorrow</surname><given-names>Meredith</given-names></name><degrees>MD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Havers</surname><given-names>Fiona</given-names></name><degrees>MD, MHS</degrees><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><collab>COVID-NET surveillance team</collab><xref rid="FN1" ref-type="author-notes">*</xref></contrib></contrib-group><aff id="A1"><label>1</label>Coronavirus Disease-2019-Associated Hospitalization Surveillance Network (COVID-NET), Division for Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA</aff><aff id="A2"><label>2</label>United States Public Health Service Commissioned Corps, Rockville, MD</aff><aff id="A3"><label>3</label>Division of State and Local Readiness, Center for Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, GA</aff><aff id="A4"><label>4</label>California Emerging Infections Program, Oakland, CA</aff><aff id="A5"><label>5</label>Colorado Department of Public Health and Environment, Denver, CO</aff><aff id="A6"><label>6</label>Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, CT</aff><aff id="A7"><label>7</label>Departments of Medicine and Pediatrics, Emory School of Medicine, Atlanta, GA</aff><aff id="A8"><label>8</label>Georgia Emerging Infections Program, Georgia Department of Public Health, Atlanta, GA</aff><aff id="A9"><label>9</label>Atlanta Veterans Affairs Medical Center, Atlanta, GA</aff><aff id="A10"><label>10</label>Iowa Department of Public Health, Des Moines, IA</aff><aff id="A11"><label>11</label>Maryland Department of Health, Baltimore, MD</aff><aff id="A12"><label>12</label>Michigan Department of Health and Human Services, Lansing, MI</aff><aff id="A13"><label>13</label>Minnesota Department of Health, St. Paul, MN</aff><aff id="A14"><label>14</label>New Mexico Emerging Infections Program, Santa Fe, NM</aff><aff id="A15"><label>15</label>New Mexico Department of Health, Santa Fe, NM</aff><aff id="A16"><label>16</label>New York State Department of Health, Albany, NY</aff><aff id="A17"><label>17</label>University of Rochester School of Medicine and Dentistry, Rochester, NY</aff><aff id="A18"><label>18</label>Ohio Department of Health, Columbus, OH</aff><aff id="A19"><label>19</label>Public Health Division, Oregon Health Authority, Portland, OR</aff><aff id="A20"><label>20</label>Vanderbilt University Medical Center, Nashville, TN</aff><aff id="A21"><label>21</label>Utah Department of Health, Salt Lake City, UT</aff><aff id="A22"><label>22</label>General Dynamics Information Technology, Atlanta, GA</aff><author-notes><fn id="FN1"><label>*</label><p id="P1">A complete list of members and affiliations is provided in the Acknowledgments</p></fn><fn fn-type="con" id="FN2"><p id="P2">Contributors&#x02019; Statement Page</p><p id="P3"><italic toggle="yes">Rebecca Woodruff</italic> conceptualized and designed the study; analyzed and interpreted the data; and drafted the manuscript.</p><p id="P4"><italic toggle="yes">Angela Campbell, Christopher Taylor</italic> and <italic toggle="yes">Fiona Havers</italic> conceptualized and designed the study; interpreted the data; drafted the manuscript; critically revised the manuscript for important intellectual content; and supervised the investigation.</p><p id="P5"><italic toggle="yes">Shua Chai, Breanna Kawasaki, James Meek, Evan Anderson, Andy Weigel, Maya Monroe, Libby Reeg, Erica Bye, Daniel Sosin, Alison Muse, Nancy Bennett, Laurie Billing, Melissa Sutton, H. Keipp Talbot,</italic> and <italic toggle="yes">Keegan McCaffrey</italic> participated in designing the study, interpreted the data and critically revised the manuscript for important intellectual content.</p><p id="P6"><italic toggle="yes">Huong Pham, Kadam Patel,</italic> and <italic toggle="yes">Michael Whitaker</italic> participated in designing the study, analyzed the data, and critically revised the manuscript for important intellectual content.</p><p id="P7"><italic toggle="yes">Meredith McMorrow</italic> participated in designing the study, interpreted the data, and critically revised the manuscript for important intellectual content.</p><p id="P8">All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.</p></fn><corresp id="CR1"><bold>Address correspondence to:</bold> Rebecca C. Woodruff, PhD, MPH; Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Chamblee, GA 30341, 404-498-5986, <email>okp9@cdc.gov</email>.</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>4</day><month>4</month><year>2022</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>1</month><year>2022</year></pub-date><pub-date pub-type="epub"><day>22</day><month>12</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>1</month><year>2023</year></pub-date><volume>149</volume><issue>1</issue><elocation-id>e2021053418</elocation-id><abstract id="ABS1"><sec id="S1"><title>Objectives:</title><p id="P9">Describe population-based rates and risk factors for severe COVID-19 (i.e., intensive care unit admission, invasive mechanical ventilation, or death) among hospitalized children.</p></sec><sec id="S2"><title>Methods:</title><p id="P10">During March 2020&#x02013;May 2021, the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) identified 3,106 children with laboratory-confirmed SARS-CoV-2 infection who were hospitalized in 14 states. Among a subset of 2,293 children primarily admitted for COVID-19, we used multivariable generalized estimating equations to generate adjusted risk ratios (aRRs) and 95% confidence intervals (CI) of the association between demographic and medical characteristics abstracted from patient electronic medical records and severe COVID-19. We calculated age-adjusted cumulative population-based rates of severe COVID-19 among all children.</p></sec><sec id="S3"><title>Results:</title><p id="P11">Approximately 30% of hospitalized children had severe COVID-19 and 0.5% died during hospitalization. Among hospitalized children aged &#x0003c;2 years, chronic lung disease (aRR=2.2, CI: 1.1&#x02013;4.3), neurologic disorders (aRR=2.0, CI: 1.5&#x02012;2.6), cardiovascular disease (aRR=1.7, CI: 1.2&#x02012;2.3), prematurity (aRR=1.6, CI: 1.1&#x02012;2.2) and airway abnormality (aRR=1.6,CI: 1.1&#x02012;2.2) were associated with severe COVID-19. Among hospitalized children aged 2&#x02012;17 years, feeding tube dependence (aRR=2.0, CI: 1.5&#x02012;2.5), diabetes mellitus (aRR=1.9, CI: 1.6&#x02012;2.3) and obesity (aRR=1.2, CI: 1.0&#x02012;1.4) were associated with severe COVID-19. Severe COVID-19 occurred among 12.0 per 100,000 children aged &#x0003c;18 years, and was highest among infants, Hispanic children, and non-Hispanic Black children.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P12">Results identify children at potentially higher risk of severe disease who may benefit from COVID-19 prevention efforts, including vaccination. Rates of severe COVID-19 establish a baseline for monitoring changes in pediatric illness severity following increased availability of COVID-19 vaccines and the emergence of new variants.</p></sec></abstract><abstract id="ABS2" abstract-type="summary"><title>Article Summary:</title><p id="P13">This investigation presents population-based rates and identifies underlying medical conditions associated with increased risk of severe disease outcomes among hospitalized children with laboratory-confirmed SARS-CoV-2 infection.</p></abstract></article-meta></front><body><sec id="S5"><title>Introduction</title><p id="P14">As of August 31, 2021, over four million cases of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection have been documented in US children aged &#x0003c;18 years.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Although children have lower rates of hospitalization for coronavirus disease 2019 (COVID-19) compared with adults,<sup><xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref></sup> severe illness and death have occurred.<sup><xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref></sup> Children with SARS-CoV-2 infection may develop serious complications, including acute respiratory distress syndrome, myocarditis, acute renal failure, multisystem organ failure, and multisystem inflammatory syndrome in children (MIS-C).<sup><xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R8" ref-type="bibr">8</xref>&#x02013;<xref rid="R14" ref-type="bibr">14</xref></sup> Among children hospitalized with COVID-19, approximately 28&#x02013;40% were admitted to an intensive care unit (ICU), 6&#x02013;18% required invasive mechanical ventilation, and up to 3% have died.<sup><xref rid="R3" ref-type="bibr">3</xref>, <xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R10" ref-type="bibr">10</xref>&#x02013;<xref rid="R12" ref-type="bibr">12</xref></sup></p><p id="P15">As of September 2021, the Food and Drug Administration has approved the Pfizer-BioNTech vaccine for use in children aged &#x02265;16 years and has authorized two vaccines for emergency use in children aged 12&#x02013;17 years.<sup><xref rid="R15" ref-type="bibr">15</xref>&#x02013;<xref rid="R17" ref-type="bibr">17</xref></sup> Multiple clinical trials testing vaccine efficacy for preventing severe illness and death in the pediatric population are ongoing.<sup><xref rid="R18" ref-type="bibr">18</xref>&#x02013;<xref rid="R22" ref-type="bibr">22</xref></sup> However, until these vaccines are authorized for use in younger age groups, children may continue to be at risk of severe illness. Information about the demographic and medical characteristics associated with severe COVID-19 in this population can be used to inform clinical decision-making, risk communication, and recommendations for vaccination and other preventive measures. Although several descriptive investigations have characterized the demographic and clinical characteristics of pediatric COVID-19-associated hospitalizations<sup><xref rid="R3" ref-type="bibr">3</xref>, <xref rid="R10" ref-type="bibr">10</xref>, <xref rid="R11" ref-type="bibr">11</xref></sup> and ICU admissions,<sup><xref rid="R5" ref-type="bibr">5</xref>, <xref rid="R9" ref-type="bibr">9</xref></sup> most studies that have identified risk factors for severe COVID-19 among children have been conducted among geographically limited populations during the initial months of the pandemic.<sup><xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R23" ref-type="bibr">23</xref></sup> Additionally, population-based rates of severe COVID-19 in children are needed to establish a baseline for monitoring trends as COVID-19 vaccines are approved for use in younger age groups, to compare with rates of severe adverse vaccine reactions, and as new SARS-CoV-2 variants emerge.</p><p id="P16">The objectives of this investigation were to identify demographic characteristics and underlying medical conditions associated with increased relative risk of severe COVID-19 among children hospitalized with SARS CoV-2 infection and to calculate population-based rates of severe COVID-19 among children during March 2020&#x02013;May 2021.</p></sec><sec id="S6"><title>Methods</title><p id="P17">As described previously,<sup><xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R24" ref-type="bibr">24</xref></sup> the Coronavirus Disease 2019-Associated Hospitalizations Surveillance Network (COVID-NET) conducts population-based surveillance of laboratory-confirmed COVID-19-associated hospitalizations in 250 acute-care hospitals located in a defined catchment area that includes approximately 10% of the U.S. population. COVID-NET conducts surveillance in 99 counties across 14 states (California, Colorado, Connecticut, Georgia, Iowa, Maryland, Michigan, Minnesota, New Mexico, New York, Ohio, Oregon, Tennessee, and Utah) located in each of the 10 Health and Human Services Department (HHS) regions.</p><p id="P18">Hospitalizations that meet the case definition of a COVID-19-associated hospitalization are included in surveillance if the patient resided in the catchment area and had a positive molecular or rapid antigen SARS-CoV-2 test during hospitalization or up to 14 days before admission. COVID-NET cases can include patients with acute COVID-19, MIS-C, or incidental SARS-CoV-2 infections. Trained surveillance officers identify cases using notifiable disease and laboratory databases as well as hospital admission and infection control practitioner logs. Medical chart abstraction is completed for all COVID-19-associated hospitalizations among children aged &#x0003c;18 years using a standard case report form; hospitalizations are then reported to COVID-NET. This activity was reviewed by CDC and conducted consistent with applicable federal law and CDC policy.<xref rid="FN4" ref-type="fn">1</xref> Participating sites obtained approval from their respective state and local Institutional Review Boards, as required.</p><sec id="S7"><title>Participants</title><p id="P19">During March 2020&#x02012;May 2021, 3,106 children with COVID-19-associated hospitalization were identified by COVID-NET. To identify risk factors for severe COVID-19 among hospitalized children, we analyzed data from 2,293 (73.8%) hospitalizations. Hospitalizations were excluded if they had incomplete chart abstraction (n=81, 2.6%), were pregnant at the time of admission (n=127, 4.1%), or had unknown outcome data (n=15, 0.5%). Additionally, we excluded 718 children who had any of the following primary reasons for admission, which were not likely related to COVID-19: psychiatric admissions (n=270), obstetrics or gynecology (n=162), trauma (n=136), inpatient procedures (n=118), or other with no symptoms consistent with COVID-19 upon admission (n=32). Excluded children differed on demographic and medical characteristics compared with included children (<xref rid="SD1" ref-type="supplementary-material">eTable 1</xref>).</p></sec><sec id="S8"><title>Measures</title><sec id="S9"><title>Severe COVID-19:</title><p id="P20">The dependent variable was severe COVID-19, defined as requiring ICU admission or invasive mechanical ventilation or in-hospital death.</p></sec><sec id="S10"><title>Demographic Characteristics:</title><p id="P21">Demographic variables included age group, sex, housing type, and race and/or Hispanic ethnicity group [Hispanic, non-Hispanic Black, non-Hispanic White, non-Hispanic Asian or Pacific Islander (PI), non-Hispanic other or unknown]. Children with unknown ethnicity (n=79, 3.5%) were presumed to be non-Hispanic.</p></sec><sec id="S11"><title>Clinical Characteristics:</title><p id="P22">COVID-NET collects information on 14 categories of underlying medical conditions (<xref rid="SD1" ref-type="supplementary-material">eTable 2</xref>); other medical conditions reported in free text were categorized after review by a pediatrician. The underlying conditions considered for each age group were determined based on clinical relevance and sample size. Among children aged &#x0003c;2 years, 7 underlying conditions were considered: airway abnormality, cardiovascular disease, chronic lung disease, feeding tube dependence, neurologic disorders, prematurity (gestational age &#x0003c;37 weeks), or other conditions (immunocompromised condition, gastrointestinal or liver disease, chronic metabolic disease, blood disorders, renal disease or other condition). Among children aged 2&#x02013;17 years, 13 underlying conditions were considered: airway abnormality, asthma, blood disorders, cardiovascular disease, developmental delay, diabetes mellitus (type I or 2), feeding tube dependence, immunocompromised conditions, obesity (body mass index kg/m<sup>2</sup> &#x02265;95<sup>th</sup> percentile for age and sex based on CDC growth charts, ICD-10 codes for obesity, or obesity selected on the case report form), non-asthma chronic lung disease, non-diabetes chronic metabolic disease, non-developmental delay neurologic disorders, or other conditions (gastrointestinal or liver disease; renal disease; or rheumatologic, autoimmune, or inflammatory disease).</p></sec></sec><sec id="S12"><title>Statistical Analysis</title><p id="P23">Age-adjusted cumulative population-based rates of severe COVID-19 during March 2020&#x02012;May 2021 were calculated using the number of catchment area residents aged &#x0003c;18 years hospitalized with severe COVID-19 as the numerator and 2019 bridged-race postcensal population estimates from the National Center for Health Statistics as the denominator.<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Rates and rate ratios (RR) by age group, sex, and race/ethnicity groups are presented. Hospitalizations with complete data on age group, sex, and race/ethnicity were included; no additional exclusion criteria were applied to the numerator data. Rates with relative standard errors &#x02265;30% were suppressed.</p><p id="P24">To identify risk factors for severe COVID-19, we specified bivariate and multivariable log-linked Poisson generalized estimating equations in SAS (version 9.4; SAS Institute) using robust variance estimators to account for clustering of hospitalizations within 10 HHS regions. We present unadjusted and adjusted risk ratios (aRR), 95% confidence intervals (CI), and <italic toggle="yes">p</italic> values using a Type I error rate of 5%. Multivariable models identifying demographic characteristics associated with severe COVID-19 included all children aged &#x0003c;18 years and were adjusted for the presence of &#x02265;1 underlying medical conditions. Multivariable models identifying underlying medical conditions associated with severe COVID-19 were adjusted for demographic characteristics and specified separately for children aged &#x0003c;2 years and 2&#x02013;17 years, as some underlying medical conditions (e.g., prematurity, obesity) are only clinically relevant for specific pediatric subgroups. In supplementary analyses, we stratified models by additional age groups (i.e., &#x0003c;6 months, 6&#x02013;23 months, 2&#x02013;4 years, 5&#x02013;11 years, 12&#x02013;17 years) and by race/ethnicity group among children aged 2&#x02013;17 years. We also conducted sensitivity analyses excluding patients with a discharge diagnosis of MIS-C.<sup><xref rid="R8" ref-type="bibr">8</xref></sup></p></sec></sec><sec id="S13"><title>Results</title><p id="P25">Of 2,293 pediatric hospitalizations, 745 (32.5%) were infants and children aged &#x0003c;2 years; 1,548 (67.5%) were children aged 2&#x02012;17 years (<xref rid="T1" ref-type="table">Table 1</xref>). Half (53.4%) were male, and the median age was 7 years (IQR: 1&#x02013;14). Most were Hispanic (33.7%) or non-Hispanic Black (32.1%), followed by non-Hispanic White (22.9%) or non-Hispanic Asian/PI (5.2%). Over half (55.0%) had &#x02265;1 underlying medical conditions, though the prevalence varied by age group (28.7% among infants and children &#x0003c;2 years, 67.7% among children 2&#x02012;17 years). The most common underlying conditions were obesity, chronic lung disease, neurologic disorders, cardiovascular disease, and blood disorders. Within the latter categories, asthma, developmental delay, congenital heart disease, and sickle cell disease were the most common conditions respectively.</p><sec id="S14"><title>Demographic Characteristics Associated with Severe COVID-19</title><p id="P26">Among hospitalized children aged &#x0003c;18 years, 30.1% had severe COVID-19 (<xref rid="T1" ref-type="table">Table 1</xref>). In multivariable analyses, the risk of severe COVID-19 among hospitalized children was higher among children with &#x02265;1 underlying medical condition (aRR=1.5, 95% CI: 1.2&#x02013;1.9, <italic toggle="yes">p</italic>=.001; <xref rid="F1" ref-type="fig">Figure 1</xref>). Severe disease was significantly less likely in infants aged &#x0003c;6 months (aRR=0.7, 95% CI: 0.5&#x02013;0.9, <italic toggle="yes">p</italic>=.004). Race/ethnicity group were not statistically significantly associated with severe COVID-19. In sensitivity analyses excluding children with MIS-C, children living in a congregate, other, or unknown residence type also had a higher risk of severe disease (aRR=1.5, 95% CI: 1.0&#x02012;2.2, <italic toggle="yes">p</italic>=0.3) and children aged 5&#x02012;11 years had a lower risk of severe COVID-19 relative to children aged 12&#x02012;17 years (aRR=0.9, 95% CI: 0.8&#x02013;1.0, <italic toggle="yes">p</italic>=0.3; <xref rid="SD1" ref-type="supplementary-material">eTable 3</xref>).</p></sec><sec id="S15"><title>Underlying Medical Conditions Associated with Severe COVID-19</title><p id="P27">Among hospitalized children aged &#x0003c;2 years, 22.0% had severe COVID-19 (<xref rid="T1" ref-type="table">Table 1</xref>). In multivariable analyses, the risk of severe COVID-19 was higher among children with chronic lung disease (aRR=2.2, 95% CI: 1.1&#x02012;4.3, <italic toggle="yes">p</italic>=.03), neurologic disorders (aRR=2.0, 95% CI: 1.5&#x02012;2.6, <italic toggle="yes">p</italic>&#x0003c;.0001), cardiovascular disease (aRR=1.7, 95% CI: 1.2&#x02012;2.3, <italic toggle="yes">p</italic>=.004), prematurity (aRR=1.6, 95% CI: 1.3&#x02012;2.1, <italic toggle="yes">p</italic>=&#x0003c;.0001) or airway abnormality (aRR=1.6, 95% CI: 1.1&#x02012;2.2, <italic toggle="yes">p</italic>=.02; <xref rid="F2" ref-type="fig">Figure 2A</xref>). Other conditions were not significantly associated with increased risk of severe COVID-19. Results from sensitivity analyses excluding children with MIS-C were similar (<xref rid="SD1" ref-type="supplementary-material">eTable 4</xref>).</p><p id="P28">Among hospitalized children aged 2&#x02012;17 years, 34.0% had severe COVID-19 (<xref rid="T1" ref-type="table">Table 1</xref>). In multivariable analyses, the risk of severe COVID-19 was higher among children with feeding tube dependence (aRR=2.0, 95% CI: 1.5&#x02012;2.5, <italic toggle="yes">p</italic>&#x0003c;.0001), diabetes mellitus (aRR=1.9, 95% CI: 1.6&#x02012;2.3, <italic toggle="yes">p</italic>&#x0003c;.0001) and obesity (aRR=1.2, 95% CI: 1.0&#x02012;1.4, <italic toggle="yes">p</italic>=.0003; <xref rid="F2" ref-type="fig">Figure 2B</xref>). Other conditions were not significantly associated with increased risk of severe COVID-19. In sensitivity analyses excluding children with MIS-C, developmental delay was also a risk factor for severe COVID-19 (aRR=1.3, 95% CI: 1.1&#x02012;1.6, <italic toggle="yes">p</italic>=.004; <xref rid="SD1" ref-type="supplementary-material">eTable 4</xref>).</p></sec><sec id="S16"><title>Sensitivity Analyses</title><p id="P29">In sensitivity analyses among additional age groups, the categories of underlying medical conditions associated with increased risk of severe disease varied by age groups (<xref rid="SD1" ref-type="supplementary-material">eTable5</xref>). Among children aged 6&#x02013;23 months, chronic lung disease (aRR=2.4, 95% CI: 1.3&#x02013;4.3), neurologic disorders (aRR=2.3, 95% CI: 1.8&#x02013;2.9), and cardiovascular disease (aRR=1.4, 95% CI: 1.2&#x02013;1.5) were associated with increased risk of severe COVID-19. Among children aged 2&#x02013;4 years, feeding tube dependence (aRR=2.1, 95% CI: 1.1&#x02013;3.9) and chronic metabolic disease (aRR=1.3, 95% CI: 1.1&#x02013;1.5) were associated with increased risk of severe COVID-19. Among children ages 5&#x02013;11 years, obesity (aRR=1.4, 95% CI: 1.2&#x02013;1.6) was associated with increased risk of severe COVID-19. Among children 12&#x02013;17 years, feeding tube dependence (aRR=3.0, 95% CI: 2.6&#x02013;3.5), chronic metabolic disease (aRR=1.7, 95% CI: 1.5&#x02013;1.9), and obesity (aRR=1.3, 95% CI: 1.0&#x02013;1.6) were associated with increased risk of severe COVID-19. Other conditions were not significantly associated with increased risk of severe COVID-19.</p><p id="P30">In sensitivity analyses among children aged 2&#x02013;17 years hospitalized with COVID-19, the categories of underlying medical conditions associated with increased risk of severe disease varied by race/ethnicity group (<xref rid="SD1" ref-type="supplementary-material">eTable 6</xref>). Among Hispanic children 2&#x02012;17 years, chronic metabolic disease (aRR=1.6, 95% CI: 1.1&#x02012;2.5, <italic toggle="yes">p</italic>=.03) and obesity (aRR=1.4, 95% CI: 1.0&#x02012;1.8, <italic toggle="yes">p</italic>=.03) were associated with increased risk of severe COVID-19. Among non-Hispanic Black children aged 2&#x02012;17 years, obesity (aRR=1.2, 95% CI: 1.0&#x02012;1.4, <italic toggle="yes">p</italic>=.01) and cardiovascular disease (aRR=1.1, 95% CI: 1.1&#x02012;1.1, <italic toggle="yes">p</italic>&#x0003c;.0001) were associated with increased risk of severe COVID-19. Among non-Hispanic White children 2&#x02012;17 years, chronic metabolic disease (aRR=1.6, 95% CI: 1.1&#x02012;2.3, <italic toggle="yes">p</italic>=.01), obesity (aRR=1.5, 95% CI: 1.0&#x02012;2.2, <italic toggle="yes">p</italic>=.04), and feeding tube dependence (aRR=2.1, 95% CI: 1.3&#x02012;3.3, <italic toggle="yes">p</italic>=.002) were associated with increased risk of severe COVID-19. Other underlying medical conditions were not significantly associated with increased risk of severe COVID-19 among race/ethnicity groups.</p></sec><sec id="S17"><title>In-Hospital Deaths</title><p id="P31">Among children &#x0003c;18 years hospitalized with COVID-19, 12 (0.5%) died during hospitalization (<xref rid="T2" ref-type="table">Table 2</xref>). The median age was 7 years (IQR: 0&#x02013;14), and most were male (n=7, 58%), Hispanic (n=6, 50%) or non-Hispanic Black (n=4, 33%). The majority (n=10, 83%) had &#x02265;1 underlying medical conditions; neurologic disorders (n=7, 58%) was the most common underlying condition.</p></sec><sec id="S18"><title>Population-Based Rates of Severe COVID-19 among Children &#x0003c;18 Years</title><p id="P32">During March 2020&#x02012;May 2021, the overall cumulative population-based rate of hospitalization was 43.2 per 100,000 children aged &#x0003c;18 years and the rate of severe COVID-19 was 12.0 per 100,000 children aged &#x0003c;18 years (<xref rid="T3" ref-type="table">Table 3</xref>). Hospitalization rates were highest among infants &#x0003c;12 months (177.5 per 100,000; RR: 3.2 vs. children aged 2&#x02013;17 years), Hispanic children (71.2 per 100,000; RR: 3.3 vs. non-Hispanic White children), and non-Hispanic Black children (63.0 per 100,000; RR: 2.9 vs. non-Hispanic White children). Rates of severe disease were highest among infants &#x0003c;12 months (36.8 per 100,000; RR: 2.4 vs. children 2&#x02013;17 years), Hispanic children (17.6 per 100,000; RR: 3.3 vs. non-Hispanic White children) and non-Hispanic Black children (21.1 per 100,000; RR: 3.9 vs. non-Hispanic White children).</p></sec></sec><sec id="S19"><title>Discussion</title><p id="P33">Almost one-third of hospitalized children with SARS-CoV-2 infection required ICU admission or invasive mechanical ventilation and children with specific underlying medical conditions were at greater risk of severe COVID-19. A strength of this investigation was the large, geographically diverse sample of children hospitalized with SARS-CoV-2 infection, which enabled the identification of demographic and medical characteristics associated with severe COVID-19 among pediatric subgroups, including by age and race/ethnicity. These results provide needed descriptive information about COVID-19 severity in children prior to widespread availability of pediatric COVID-19 vaccination and can serve as a baseline to assess changes in trends as COVID-19 vaccines are approved for use in younger age groups, to compare with severe adverse vaccine reactions, and as new SARS-CoV-2 variants emerge. Additionally, information about pediatric risk factors for severe COVID-19 can inform clinical decision making by identifying children who may benefit from closer monitoring following hospitalization. These results may also guide other prevention measures, including health education and risk communication campaigns and recommendations for vaccination<sup><xref rid="R26" ref-type="bibr">26</xref>&#x02013;<xref rid="R28" ref-type="bibr">28</xref></sup> once COVID-19 vaccines are approved for use among younger children.</p><p id="P34">Similar to previous investigations,<sup><xref rid="R29" ref-type="bibr">29</xref>, <xref rid="R30" ref-type="bibr">30</xref></sup> we found that the presence of one or more underlying medical conditions was associated with increased risk of severe COVID-19 and identified the specific underlying conditions associated with severe COVID-19 within pediatric subgroups. Results underscore the importance of obesity and diabetes, which have previously been documented as risk factors for severe COVID-19 among both adults and children,<sup><xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R24" ref-type="bibr">24</xref>, <xref rid="R30" ref-type="bibr">30</xref>&#x02013;<xref rid="R33" ref-type="bibr">33</xref></sup> and identify additional risk factors, including neurologic and cardiovascular disease, feeding tube dependence, airway abnormality, and prematurity among specific pediatric subgroups. These results highlight the potential importance of neurologic disorders (including developmental delay), which were reported in over half of the 12 in-hospital pediatric deaths and were associated with increased risk of severe COVID-19 across several pediatric population subgroups, including children 2&#x02013;17 years of age without a discharge diagnosis of MIS-C and infants and children &#x0003c;2 years. Neurologic disorders have been shown to increase risk of severe illness in other respiratory diseases, potentially through decreased muscle tone and strength, impaired mobility, or structural conditions that diminish pulmonary function.<sup><xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R36" ref-type="bibr">36</xref></sup> Consistent with findings from influenza-associated hospitalizations,<sup><xref rid="R37" ref-type="bibr">37</xref></sup> we found that some underlying medical conditions, including immunocompromised conditions and blood disorders, were not associated with increased risk of severe COVID-19, which may be explained by lower thresholds for hospital admission among children with conditions, such as sickle cell disease.</p><p id="P35">When we examine population-based rates, which have not been calculated in most other studies, infants &#x0003c;12 months had the highest rates of hospitalization and severe COVID-19 compared to all other pediatric age groups, an important finding when assessing infant risk from COVID-19 disease.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> However, similar to other studies,<sup><xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R29" ref-type="bibr">29</xref></sup> we found that once hospitalized with SARS-CoV-2 infection, infants were not at significantly increased risk of severe COVID-19 relative to older children. Young infants may have a lower threshold for admission compared with older children and therefore some hospitalized infants may not be as seriously ill from SARS-CoV-2 disease as hospitalized older children, potentially obscuring the true risk to infants compared with older children. More research is needed to evaluate the risk of severe COVID-19 among infants relative to older children.</p><p id="P36">Consistent with other studies,<sup><xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref></sup> Hispanic and non-Hispanic Black children had higher population-based rates of hospitalization and severe disease relative to non-Hispanic White children. However, as reported elsewhere,<sup><xref rid="R6" ref-type="bibr">6</xref>, <xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R23" ref-type="bibr">23</xref>, <xref rid="R29" ref-type="bibr">29</xref></sup> once hospitalized with SARS-CoV-2 infection, Hispanic and Black children aged 2&#x02013;17 years were not at increased risk of severe COVID-19 relative to White children after controlling for the presence of &#x02265;1 underlying medical conditions. These results may suggest that Hispanic and non-Hispanic Black children may be at greater risk of SARS-CoV-2 infection, COVID-19 illness, and associated hospitalization, but are not necessarily at greater risk of severe disease outcomes after accounting for variation in the prevalence of underlying medical conditions. Hispanic and non-Hispanic Black children may be at greater risk of SARS-CoV-2 infection relative to non-Hispanic White children by, for example, increased risk of infection with SARS-CoV-2 among household members who may be disproportionately represented among essential occupations, structural barriers to accessing health care, or other mechanisms.<sup><xref rid="R38" ref-type="bibr">38</xref>&#x02013;<xref rid="R40" ref-type="bibr">40</xref></sup></p><p id="P37">Limitations of this investigation include geographic and temporal variability in testing availability, capacity, and performance across contributing sites. Additionally, this investigation may have had limited statistical power to detect differences in severe COVID-19, particularly by less prevalent underlying medical conditions or among pediatric subgroups. In addition, ICU admission and invasive mechanical ventilation may not be proxies for disease severity for all children, particularly if the threshold for admission to the ICU for monitoring varied by pediatric subgroup. Also, children could have been misclassified if underlying conditions were not noted on their electronic medical records or case report form. Finally, these results are from a network of acute care hospitals in 14 states and may not generalize to all hospitalized children with SARS-CoV-2 infection in the US.</p></sec><sec id="S20"><title>Conclusion</title><p id="P38">Children experience severe COVID-19 and, in hospitalized children, the presence of specific underlying medical conditions may be associated with greater risk of severe COVID-19 outcomes. Results provide baseline information about disease severity among children prior to widespread pediatric COVID-19 vaccination and can be used to inform clinical decision-making, monitor population-based trends over time, and improve risk communication.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Online Supplement</label><media xlink:href="NIHMS1776605-supplement-Online_Supplement.docx" id="d64e773" position="anchor"/></supplementary-material></sec></body><back><ack id="S21"><title>Acknowledgments</title><p id="P39">We acknowledge with gratitude the clinicians and surveillance officers at the COVID-NET sites included in this study. We also wish to acknowledge the following people: Onika Anglin (COVID-NET Surveillance Team, Centers for Disease Control and Prevention; General Dynamics Information Technology); Jennifer L. Milucky (COVID-NET Surveillance Team, Centers for Disease Control and Prevention); Roxanne Archer, Brooke Heidenga, Jeremy Roland, Maria Rosales, Monica Napoles (California Emerging Infections Program); Rachel Herlihy, Sarah McLafferty, Millen Tsegaye (Colorado Department of Public Health and Environment); Amber Maslar, Paula Clogher, Adam Misiorski, Christina Parisi, Maria Correa, Tessa Carter, Carol Lyons, Daewi Kim, Gaggan Brar, Linda Niccolai (Connecticut Emerging Infections Program, Yale School of Public Health); Allison Roebling, Katelyn Ward, Jana Manning, Asmith Joseph, Chandler Surell, Gracie Chambers, Grayson Kallas, Lauren Russell, Daniel Pizarro, Jeremiah Williams, Rayna Ceaser, Stephanie Lehman, Taylor Eisenstein, Suzanne Segler, Kyle Openo (Georgia Emerging Infections Program, Georgia Department of Public Health; Veterans Affairs Medical Center; Foundation for Atlanta Veterans Education and Research); Kenzie Teno (Iowa Department of Public Health); Elisabeth Vaeth, Cindy Zerrlaut, David Blythe, Alicia Brooks (Maryland Department of Health); Rachel Park, Michelle Wilson (Maryland Emerging Infections Program &#x02013; The Johns Hopkins Bloomberg School of Public Health); Jim Collins, Shannon Johnson, Sue Kim, Alexander Kohrman, Sam Hawkins, Val Tellez Nunez, Lauren Leegwater, Sierra Peguies-Khan, Chloe Brown (Michigan Department of Health and Human Services); Kathy Como-Sabetti, Austin Bell, Kalyla Bilski, Emma Contestabile, Claire Henrichsen, Katherine Schleiss, Samantha Siebman, Emily Holodick, Lisa Nguyen, Kristen Ehresmann, Richard Danila (Minnesota Department of Health); Kathy M. Angeles, Emily B. Hancock, Yadira Salazar-Sanchez, Meaghan Novi, Nancy Eisenberg, Melissa Christian, Dominic Rudin (New Mexico Emerging Infections Program); Nancy Spina, Suzanne McGuire, Adam Rowe, Kerianne Engesser (New York State Department of Health); Sophrena Bushey, Kevin Popham, Virginia Cafferky, Christine Long, RaeAnne Kurtz, Maria Gaitan (University of Rochester School of Medicine and Dentistry); Ama Owusu-Dommey, Breanna McArdle (Public Health Division; Oregon Health Authority); Kylie Seeley (Oregon Health &#x00026; Science University School of Medicine); Katie Dyer, Karen Leib, Tiffanie Markus, Terri McMinn, Danielle Ndi, John Ujwok, Anise Elie, Kathy Billings, Manideepthi Pemmaraju (Vanderbilt University Medical Center); Amanda Carter, Andrea George, Andrea Price, Andrew Haraghey, Ashley Swain, Caitlin Shaw, Ian Buchta, Ilene Risk, Jake Ortega, Laine McCullough, Melanie Crossland, Ryan Chatelain, Tyler Riedesel (Salt Lake County Health Department).</p><sec id="S22"><title>COVID-NET Surveillance Team Authors and Affiliations</title><p id="P40">Pam Daily Kirley, MPH (California Emerging Infections Program); Nisha Alden, MPH (Colorado Department of Public Health and Environment); Kimberly Yousey-Hindes, MPH, CPH (Connecticut Emerging Infections Program, Yale School of Public Health); Emily Fawcett, MPH (Georgia Emerging Infections Program; Georgia Department of Public Health; Atlanta Veterans Affairs Medical Center); Patricia A. Ryan, MS (Maryland Department of Health); Justin Henderson, MPH (Michigan Department of Health and Human Services); Ruth Lynfield, MD (Minnesota Department of Health); Sarah A. Khanlian, MPH (University of New Mexico, New Mexico Emerging Infections Program); Grant Barney, MPH (New York State Department of Health); Christina B. Felsen, MPH (University of Rochester School of Medicine); Jess Shiltz, MPH (Ohio Department of Health); Nasreen Abdullah, MD, MPH (Public Health Division, Oregon Health Authority); William Schaffner, MD (Vanderbilt University Medical Center); Mary Hill, MPH (Salt Lake County Health Department)</p></sec><sec id="S23"><title>Funding:</title><p id="P41">This work was supported by the Centers for Disease Control and Prevention through an Emerging Infections Program cooperative agreement (grant CK17-1701) and through a Council of State and Territorial Epidemiologists cooperative agreement (grant NU38OT000297-02-00). The findings and conclusions in this report are those of the authors do not necessarily represent the official position of the United States Department of Health and Human Services, the United States Public Health Service Commissioned Corps, the Centers for Disease Control and Prevention, or the authors&#x02019; institutions.</p></sec><sec id="S24"><title>Role of Funder/Sponsor:</title><p id="P42">The Centers for Disease Control and Prevention was involved in all aspects of the study, including its design, data collection, analysis, and writing the manuscript.</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN3"><p id="P43">Conflict of Interest Disclosures:</p><p id="P44">James Meek and Melissa Sutton report receiving funding from the CDC EIP cooperative agreement. Libby Reeg and Laurie Billing report receiving a CDC federal grant from the Council of State and Territorial Epidemiologists. Laurie Billing reports receiving Epidemiology and Laboratory Capacity (ELC) grant funding from CDC to support vaccine preventable disease epidemiology staffing and additionally report receiving Immunizations and Vaccines for Children (VFC) grant funding from CDC. Evan Anderson has consulted for Pfizer, Sanofi Pasteur, Janssen, and Medscape, and his institution receives funds to conduct clinical research unrelated to this manuscript from MedImmune, Regeneron, PaxVax, Pfizer, GSK, Merck, Sanofi-Pasteur, Janssen, and Micron. He also serves on a safety monitoring board for Kentucky BioProcessing, Inc. and Sanofi Pasteur. His institution has also received funding from NIH to conduct clinical trials of Moderna and Janssen COVID-19 vaccines.</p></fn><fn id="FN4"><label>1</label><p id="P45">45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552a; 44 U.S.C. Sect. 3501 et seq.</p></fn></fn-group><glossary><title>Abbreviations:</title><def-list><def-item><term>aRR</term><def><p id="P46">Adjusted risk ratio</p></def></def-item><def-item><term>CDC</term><def><p id="P47">Centers for Disease Control and Prevention</p></def></def-item><def-item><term>CI</term><def><p id="P48">Confidence Interval</p></def></def-item><def-item><term>COVID-19</term><def><p id="P49">Coronavirus Disease-2019</p></def></def-item><def-item><term>COVID-NET</term><def><p id="P50">Coronavirus Disease-2019-Associated Hospitalization Surveillance Network</p></def></def-item><def-item><term>HHS</term><def><p id="P51">Health and Human Services Department</p></def></def-item><def-item><term>ICU</term><def><p id="P52">Intensive Care Unit</p></def></def-item><def-item><term>MIS-C</term><def><p id="P53">Multisystem Inflammatory Syndrome in Children</p></def></def-item><def-item><term>SARS-CoV-2</term><def><p id="P54">Severe Acute Respiratory Syndrome Coronavirus-2</p></def></def-item><def-item><term>RR</term><def><p id="P55">Rate Ratio</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="webpage"><collab>Centers for Diseaes Control and Prevention</collab>. <source>COVID Data Tracker</source>
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<year>2021</year>;<volume>174</volume>(<issue>3</issue>):<fpage>362</fpage>&#x02013;<lpage>373</lpage>. doi:<pub-id pub-id-type="doi">10.7326/m20-6306</pub-id><pub-id pub-id-type="pmid">33253040</pub-id></mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><title>Demographic characteristics associated with severe COVID-19</title><p id="P56">Demographic characteristics and &#x02265;1 underlying conditions associated with intensive care unit admission, invasive mechanical ventilation, or death among children &#x0003c;18 years hospitalized with COVID-19&#x02015;14 states, March 2020&#x02013;May 2021</p><p id="P57">Abbreviations: aRR=Adjusted Risk Ratio, CI=Confidence Interval, RR=risk ratio, NH=non-Hispanic</p><p id="P58"><sup>a</sup> Includes non-Hispanic American Indian or Alaska Native, non-Hispanic multiple races, or unknown</p><p id="P59"><sup>b</sup> Private residence includes home with services. Congregate setting includes hospitalized since birth, group home/retirement, homeless shelter, psychiatric facility, facility, long-term acute care hospital, corrections facility, other, and unknown</p><p id="P60"><sup>c</sup> Includes obesity (among aged 2&#x02012;17 years); prematurity (among aged &#x0003c;2 years); chronic lung disease; airway abnormality; neurologic disorders; immunocompromised conditions; feeding tube dependence; cardiovascular disease; chronic metabolic disease; blood disorders; gastrointestinal/liver disease; renal disease; rheumatologic, autoimmune, or inflammatory conditions; or other conditions.</p></caption><graphic xlink:href="nihms-1776605-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><title>A&#x02013;B. Underlying conditions associated with severe COVID-19 by age group</title><p id="P61">Underlying conditions associated with intensive care unit admission, invasive mechanical ventilation, or death among children (A.) aged &#x0003c;2 years and (B.) aged 2&#x02012;17 years hospitalized with COVID-19&#x02015;14 states, March 2020&#x02013;May 2021</p><p id="P62">Abbreviations: aRR=adjusted risk ratio, CI=confidence interval, RR=risk ratio</p><p id="P63"><sup>a</sup> Multivariable models are adjusted for age group, sex, race/ethnicity group, and housing type.</p><p id="P64"><sup>b</sup> Born &#x0003c;37 weeks gestational age</p><p id="P65"><sup>c</sup> Includes immunocompromised conditions, liver disease, chronic metabolic disease, blood disorders, renal disease, and other disease specified on the case report form</p><p id="P66"><sup>d</sup> Children aged 2&#x02012;17 years were classified as having obesity if they had body mass index (kg/m<sup>2</sup>) &#x02265;95<sup>th</sup> percentile for age and sex based on CDC growth charts, ICD-10 codes for obesity in the electronic medical record, or obesity selected on the COVID-NET case report form.</p><p id="P67"><sup>e</sup> Chronic lung disease excludes asthma, chronic metabolic disease excludes type 1 or 2 diabetes mellitus, and neurologic disorder excludes developmental delay.</p><p id="P68"><sup>f</sup> Includes liver disease; renal disease; rheumatologic, autoimmune, and inflammatory conditions; and other conditions specified on the case report form</p></caption><graphic xlink:href="nihms-1776605-f0002" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P69">Demographic characteristics and underlying medical conditions among hospitalized children aged &#x0003c;18 years identified through the COVID-19-Associated Hospitalization Surveillance Network, March 2020&#x02013;May 2021</p></caption><table frame="box" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="center" valign="top" rowspan="1">Total<break/>No. 2,293</th><th colspan="2" align="center" valign="top" rowspan="1">Infants and Children aged<break/>&#x0003c;2 years<break/>No. 745</th><th colspan="2" align="center" valign="top" rowspan="1">Children aged<break/>2&#x02013;17 years<break/>No. 1,548</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="right" valign="top" rowspan="1" colspan="1">No.</th><th align="right" valign="top" rowspan="1" colspan="1">(%)</th><th align="right" valign="top" rowspan="1" colspan="1">No.</th><th align="right" valign="top" rowspan="1" colspan="1">(%)</th><th align="right" valign="top" rowspan="1" colspan="1">No.</th><th align="right" valign="top" rowspan="1" colspan="1">(%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age &#x02013; median (IQR)<sup><xref rid="TFN2" ref-type="table-fn">a</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">(1&#x02013;14)</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(1&#x02013;11)</td><td align="right" valign="top" rowspan="1" colspan="1">12</td><td align="right" valign="top" rowspan="1" colspan="1">(7&#x02013;16)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age Group</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003c;6 months</td><td align="right" valign="top" rowspan="1" colspan="1">450</td><td align="right" valign="top" rowspan="1" colspan="1">(19.6)</td><td align="right" valign="top" rowspan="1" colspan="1">450</td><td align="right" valign="top" rowspan="1" colspan="1">(60.4)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;6&#x02013;23 months</td><td align="right" valign="top" rowspan="1" colspan="1">295</td><td align="right" valign="top" rowspan="1" colspan="1">(12.9)</td><td align="right" valign="top" rowspan="1" colspan="1">295</td><td align="right" valign="top" rowspan="1" colspan="1">(39.6)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2&#x02013;4 years</td><td align="right" valign="top" rowspan="1" colspan="1">249</td><td align="right" valign="top" rowspan="1" colspan="1">(10.9)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">249</td><td align="right" valign="top" rowspan="1" colspan="1">(16.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;5&#x02013;11 years</td><td align="right" valign="top" rowspan="1" colspan="1">470</td><td align="right" valign="top" rowspan="1" colspan="1">(20.5)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">470</td><td align="right" valign="top" rowspan="1" colspan="1">(30.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;12&#x02013;17 years</td><td align="right" valign="top" rowspan="1" colspan="1">829</td><td align="right" valign="top" rowspan="1" colspan="1">(36.2)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">829</td><td align="right" valign="top" rowspan="1" colspan="1">(53.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="right" valign="top" rowspan="1" colspan="1">1,224</td><td align="right" valign="top" rowspan="1" colspan="1">(53.4)</td><td align="right" valign="top" rowspan="1" colspan="1">409</td><td align="right" valign="top" rowspan="1" colspan="1">(54.9)</td><td align="right" valign="top" rowspan="1" colspan="1">815</td><td align="right" valign="top" rowspan="1" colspan="1">(52.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="right" valign="top" rowspan="1" colspan="1">1,069</td><td align="right" valign="top" rowspan="1" colspan="1">(46.6)</td><td align="right" valign="top" rowspan="1" colspan="1">336</td><td align="right" valign="top" rowspan="1" colspan="1">(45.1)</td><td align="right" valign="top" rowspan="1" colspan="1">733</td><td align="right" valign="top" rowspan="1" colspan="1">(47.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race/Ethnicity</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic</td><td align="right" valign="top" rowspan="1" colspan="1">773</td><td align="right" valign="top" rowspan="1" colspan="1">(33.7)</td><td align="right" valign="top" rowspan="1" colspan="1">267</td><td align="right" valign="top" rowspan="1" colspan="1">(35.8)</td><td align="right" valign="top" rowspan="1" colspan="1">506</td><td align="right" valign="top" rowspan="1" colspan="1">(32.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH Black</td><td align="right" valign="top" rowspan="1" colspan="1">737</td><td align="right" valign="top" rowspan="1" colspan="1">(32.1)</td><td align="right" valign="top" rowspan="1" colspan="1">192</td><td align="right" valign="top" rowspan="1" colspan="1">(25.8)</td><td align="right" valign="top" rowspan="1" colspan="1">545</td><td align="right" valign="top" rowspan="1" colspan="1">(35.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH White</td><td align="right" valign="top" rowspan="1" colspan="1">525</td><td align="right" valign="top" rowspan="1" colspan="1">(22.9)</td><td align="right" valign="top" rowspan="1" colspan="1">181</td><td align="right" valign="top" rowspan="1" colspan="1">(24.3)</td><td align="right" valign="top" rowspan="1" colspan="1">344</td><td align="right" valign="top" rowspan="1" colspan="1">(22.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH Asian/Pacific Islander</td><td align="right" valign="top" rowspan="1" colspan="1">118</td><td align="right" valign="top" rowspan="1" colspan="1">(5.2)</td><td align="right" valign="top" rowspan="1" colspan="1">53</td><td align="right" valign="top" rowspan="1" colspan="1">(7.1)</td><td align="right" valign="top" rowspan="1" colspan="1">65</td><td align="right" valign="top" rowspan="1" colspan="1">(4.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH Other<sup><xref rid="TFN3" ref-type="table-fn">b</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">140</td><td align="right" valign="top" rowspan="1" colspan="1">(6.1)</td><td align="right" valign="top" rowspan="1" colspan="1">52</td><td align="right" valign="top" rowspan="1" colspan="1">(7.0)</td><td align="right" valign="top" rowspan="1" colspan="1">88</td><td align="right" valign="top" rowspan="1" colspan="1">(5.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Residential type</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Private residence<sup><xref rid="TFN4" ref-type="table-fn">c</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">2,240</td><td align="right" valign="top" rowspan="1" colspan="1">(97.7)</td><td align="right" valign="top" rowspan="1" colspan="1">717</td><td align="right" valign="top" rowspan="1" colspan="1">(96.2)</td><td align="right" valign="top" rowspan="1" colspan="1">1,523</td><td align="right" valign="top" rowspan="1" colspan="1">(98.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Congregate setting, other or unknown<sup><xref rid="TFN5" ref-type="table-fn">d</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">53</td><td align="right" valign="top" rowspan="1" colspan="1">(2.3)</td><td align="right" valign="top" rowspan="1" colspan="1">28</td><td align="right" valign="top" rowspan="1" colspan="1">(3.8)</td><td align="right" valign="top" rowspan="1" colspan="1">25</td><td align="right" valign="top" rowspan="1" colspan="1">(1.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Hospitalized since birth</td><td align="right" valign="top" rowspan="1" colspan="1">25</td><td align="right" valign="top" rowspan="1" colspan="1">(1.1)</td><td align="right" valign="top" rowspan="1" colspan="1">25</td><td align="right" valign="top" rowspan="1" colspan="1">(3.4)</td><td align="right" valign="top" rowspan="1" colspan="1">0</td><td align="right" valign="top" rowspan="1" colspan="1">(0.0)</td></tr><tr><td colspan="2" align="left" valign="top" rowspan="1">
<bold>Underlying medical conditions</bold>
</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;1 underlying medical conditions</td><td align="right" valign="top" rowspan="1" colspan="1">1,262</td><td align="right" valign="top" rowspan="1" colspan="1">(55.0)</td><td align="right" valign="top" rowspan="1" colspan="1">214</td><td align="right" valign="top" rowspan="1" colspan="1">(28.7)</td><td align="right" valign="top" rowspan="1" colspan="1">1,048</td><td align="right" valign="top" rowspan="1" colspan="1">(67.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Obesity<sup><xref rid="TFN6" ref-type="table-fn">e</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">478</td><td align="right" valign="top" rowspan="1" colspan="1">(20.9)</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">-</td><td align="right" valign="top" rowspan="1" colspan="1">478</td><td align="right" valign="top" rowspan="1" colspan="1">(30.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic lung disease</td><td align="right" valign="top" rowspan="1" colspan="1">468</td><td align="right" valign="top" rowspan="1" colspan="1">(20.4)</td><td align="right" valign="top" rowspan="1" colspan="1">38</td><td align="right" valign="top" rowspan="1" colspan="1">(5.1)</td><td align="right" valign="top" rowspan="1" colspan="1">430</td><td align="right" valign="top" rowspan="1" colspan="1">(27.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Asthma</td><td align="right" valign="top" rowspan="1" colspan="1">373</td><td align="right" valign="top" rowspan="1" colspan="1">(16.3)</td><td align="right" valign="top" rowspan="1" colspan="1">13</td><td align="right" valign="top" rowspan="1" colspan="1">(1.7)</td><td align="right" valign="top" rowspan="1" colspan="1">360</td><td align="right" valign="top" rowspan="1" colspan="1">(23.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Neurologic disorder</td><td align="right" valign="top" rowspan="1" colspan="1">348</td><td align="right" valign="top" rowspan="1" colspan="1">(15.2)</td><td align="right" valign="top" rowspan="1" colspan="1">49</td><td align="right" valign="top" rowspan="1" colspan="1">(6.6)</td><td align="right" valign="top" rowspan="1" colspan="1">299</td><td align="right" valign="top" rowspan="1" colspan="1">(19.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Developmental delay</td><td align="right" valign="top" rowspan="1" colspan="1">218</td><td align="right" valign="top" rowspan="1" colspan="1">(9.5)</td><td align="right" valign="top" rowspan="1" colspan="1">30</td><td align="right" valign="top" rowspan="1" colspan="1">(4.0)</td><td align="right" valign="top" rowspan="1" colspan="1">188</td><td align="right" valign="top" rowspan="1" colspan="1">(12.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Cardiovascular disease</td><td align="right" valign="top" rowspan="1" colspan="1">146</td><td align="right" valign="top" rowspan="1" colspan="1">(6.4)</td><td align="right" valign="top" rowspan="1" colspan="1">57</td><td align="right" valign="top" rowspan="1" colspan="1">(7.7)</td><td align="right" valign="top" rowspan="1" colspan="1">89</td><td align="right" valign="top" rowspan="1" colspan="1">(5.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Congenital heart disease</td><td align="right" valign="top" rowspan="1" colspan="1">94</td><td align="right" valign="top" rowspan="1" colspan="1">(4.1)</td><td align="right" valign="top" rowspan="1" colspan="1">44</td><td align="right" valign="top" rowspan="1" colspan="1">(5.9)</td><td align="right" valign="top" rowspan="1" colspan="1">50</td><td align="right" valign="top" rowspan="1" colspan="1">(3.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Blood disorder</td><td align="right" valign="top" rowspan="1" colspan="1">142</td><td align="right" valign="top" rowspan="1" colspan="1">(6.2)</td><td align="right" valign="top" rowspan="1" colspan="1">21</td><td align="right" valign="top" rowspan="1" colspan="1">(2.8)</td><td align="right" valign="top" rowspan="1" colspan="1">121</td><td align="right" valign="top" rowspan="1" colspan="1">(7.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Sickle cell</td><td align="right" valign="top" rowspan="1" colspan="1">102</td><td align="right" valign="top" rowspan="1" colspan="1">(4.5)</td><td align="right" valign="top" rowspan="1" colspan="1">16</td><td align="right" valign="top" rowspan="1" colspan="1">(2.2)</td><td align="right" valign="top" rowspan="1" colspan="1">86</td><td align="right" valign="top" rowspan="1" colspan="1">(5.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Chronic metabolic disease</td><td align="right" valign="top" rowspan="1" colspan="1">136</td><td align="right" valign="top" rowspan="1" colspan="1">(5.9)</td><td align="right" valign="top" rowspan="1" colspan="1">8</td><td align="right" valign="top" rowspan="1" colspan="1">(1.1)</td><td align="right" valign="top" rowspan="1" colspan="1">128</td><td align="right" valign="top" rowspan="1" colspan="1">(8.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes mellitus (type I or II)</td><td align="right" valign="top" rowspan="1" colspan="1">89</td><td align="right" valign="top" rowspan="1" colspan="1">(3.9)</td><td align="right" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">(0.1)</td><td align="right" valign="top" rowspan="1" colspan="1">88</td><td align="right" valign="top" rowspan="1" colspan="1">(5.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Immunocompromised condition</td><td align="right" valign="top" rowspan="1" colspan="1">129</td><td align="right" valign="top" rowspan="1" colspan="1">(5.6)</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">(0.9)</td><td align="right" valign="top" rowspan="1" colspan="1">122</td><td align="right" valign="top" rowspan="1" colspan="1">(7.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Feeding tube dependent</td><td align="right" valign="top" rowspan="1" colspan="1">114</td><td align="right" valign="top" rowspan="1" colspan="1">(5.0)</td><td align="right" valign="top" rowspan="1" colspan="1">33</td><td align="right" valign="top" rowspan="1" colspan="1">(4.4)</td><td align="right" valign="top" rowspan="1" colspan="1">81</td><td align="right" valign="top" rowspan="1" colspan="1">(5.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Premature<sup><xref rid="TFN7" ref-type="table-fn">f</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1">100</td><td align="right" valign="top" rowspan="1" colspan="1">(4.4)</td><td align="right" valign="top" rowspan="1" colspan="1">100</td><td align="right" valign="top" rowspan="1" colspan="1">(13.4)</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Airway abnormality</td><td align="right" valign="top" rowspan="1" colspan="1">58</td><td align="right" valign="top" rowspan="1" colspan="1">(2.5)</td><td align="right" valign="top" rowspan="1" colspan="1">24</td><td align="right" valign="top" rowspan="1" colspan="1">(3.2)</td><td align="right" valign="top" rowspan="1" colspan="1">34</td><td align="right" valign="top" rowspan="1" colspan="1">(2.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Renal disease</td><td align="right" valign="top" rowspan="1" colspan="1">46</td><td align="right" valign="top" rowspan="1" colspan="1">(2.0)</td><td align="right" valign="top" rowspan="1" colspan="1">9</td><td align="right" valign="top" rowspan="1" colspan="1">(1.2)</td><td align="right" valign="top" rowspan="1" colspan="1">37</td><td align="right" valign="top" rowspan="1" colspan="1">(2.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Liver disease</td><td align="right" valign="top" rowspan="1" colspan="1">41</td><td align="right" valign="top" rowspan="1" colspan="1">(1.8)</td><td align="right" valign="top" rowspan="1" colspan="1">6</td><td align="right" valign="top" rowspan="1" colspan="1">(0.8)</td><td align="right" valign="top" rowspan="1" colspan="1">35</td><td align="right" valign="top" rowspan="1" colspan="1">(2.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rheumatologic, autoimmune, inflammatory condition</td><td align="right" valign="top" rowspan="1" colspan="1">14</td><td align="right" valign="top" rowspan="1" colspan="1">(0.6)</td><td align="right" valign="top" rowspan="1" colspan="1">0</td><td align="right" valign="top" rowspan="1" colspan="1">(0.0)</td><td align="right" valign="top" rowspan="1" colspan="1">14</td><td align="right" valign="top" rowspan="1" colspan="1">(0.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="right" valign="top" rowspan="1" colspan="1">133</td><td align="right" valign="top" rowspan="1" colspan="1">(5.8)</td><td align="right" valign="top" rowspan="1" colspan="1">36</td><td align="right" valign="top" rowspan="1" colspan="1">(4.8)</td><td align="right" valign="top" rowspan="1" colspan="1">97</td><td align="right" valign="top" rowspan="1" colspan="1">(6.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Discharge diagnosis of MIS-C</td><td align="right" valign="top" rowspan="1" colspan="1">198</td><td align="right" valign="top" rowspan="1" colspan="1">(8.6)</td><td align="right" valign="top" rowspan="1" colspan="1">15</td><td align="right" valign="top" rowspan="1" colspan="1">(2.0)</td><td align="right" valign="top" rowspan="1" colspan="1">183</td><td align="right" valign="top" rowspan="1" colspan="1">(11.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Outcomes</bold>
</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">ICU Admission or Invasive Mechanical Ventilation</td><td align="right" valign="top" rowspan="1" colspan="1">691</td><td align="right" valign="top" rowspan="1" colspan="1">(30.1)</td><td align="right" valign="top" rowspan="1" colspan="1">164</td><td align="right" valign="top" rowspan="1" colspan="1">(22.0)</td><td align="right" valign="top" rowspan="1" colspan="1">527</td><td align="right" valign="top" rowspan="1" colspan="1">(34.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Invasive Mechanical Ventilation</td><td align="right" valign="top" rowspan="1" colspan="1">122</td><td align="right" valign="top" rowspan="1" colspan="1">(5.3)</td><td align="right" valign="top" rowspan="1" colspan="1">34</td><td align="right" valign="top" rowspan="1" colspan="1">(4.6)</td><td align="right" valign="top" rowspan="1" colspan="1">88</td><td align="right" valign="top" rowspan="1" colspan="1">(5.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">In-hospital deaths</td><td align="right" valign="top" rowspan="1" colspan="1">12</td><td align="right" valign="top" rowspan="1" colspan="1">(0.5)</td><td align="right" valign="top" rowspan="1" colspan="1">4</td><td align="right" valign="top" rowspan="1" colspan="1">(0.5)</td><td align="right" valign="top" rowspan="1" colspan="1">8</td><td align="right" valign="top" rowspan="1" colspan="1">(0.5)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P70">Abbreviations: COVID-19=Coronavirus Disease-2019; NH=non-Hispanic</p></fn><fn id="TFN2"><label>a</label><p id="P71">Reported in months for children aged &#x0003c;2 years and in years for all other age groups</p></fn><fn id="TFN3"><label>b</label><p id="P72">Includes NH American Indian/Alaska Native (n=20, 0.9%), NH multiple races (n=25, 1.1%), or unknown (n=95, 4.1%)</p></fn><fn id="TFN4"><label>c</label><p id="P73">Includes private residence or home with services</p></fn><fn id="TFN5"><label>d</label><p id="P74">Includes hospitalized since birth, group home/retirement, homeless shelter, psychiatric facility, facility, long-term acute care hospital, corrections facility, other, and unknown</p></fn><fn id="TFN6"><label>e</label><p id="P75">Children aged 2&#x02012;17 years were classified as having obesity if they had body mass index (kg/m<sup>2</sup>) &#x02265;95<sup>th</sup> percentile for age and sex based on CDC growth charts, ICD-10 codes for obesity in the electronic medical record, or obesity selected on the case report form.</p></fn><fn id="TFN7"><label>f</label><p id="P76">Gestational age &#x0003c;37 weeks at birth among children aged &#x0003c;2 years</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>Table 2.</label><caption><p id="P77">Demographic characteristics and underlying medical conditions among children aged &#x0003c;18 years who died while hospitalized with COVID-19&#x02014;COVID-19-Associated Hospitalization Surveillance Network, March 2020&#x02013;May 2021</p></caption><table frame="box" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="2" align="center" valign="top" rowspan="1">Children aged<break/>&#x0003c;18 years<break/>(N=12)</th></tr><tr><th colspan="3" align="left" valign="top" rowspan="1">
<hr/>
</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="right" valign="top" rowspan="1" colspan="1">No.</th><th align="right" valign="top" rowspan="1" colspan="1">(%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (yrs) &#x02012; mean (range)</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">(0&#x02013;14)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age Group</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x0003c;6 mos</td><td align="right" valign="top" rowspan="1" colspan="1">1</td><td align="right" valign="top" rowspan="1" colspan="1">(8.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;6&#x02013;23 mos</td><td align="right" valign="top" rowspan="1" colspan="1">3</td><td align="right" valign="top" rowspan="1" colspan="1">(25.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2&#x02013;4 yrs</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;5&#x02013;11 years</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;12&#x02013;17 years</td><td align="right" valign="top" rowspan="1" colspan="1">4</td><td align="right" valign="top" rowspan="1" colspan="1">(33.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">(58.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="right" valign="top" rowspan="1" colspan="1">5</td><td align="right" valign="top" rowspan="1" colspan="1">(41.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race/Ethnicity</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic</td><td align="right" valign="top" rowspan="1" colspan="1">6</td><td align="right" valign="top" rowspan="1" colspan="1">(50.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH Black</td><td align="right" valign="top" rowspan="1" colspan="1">4</td><td align="right" valign="top" rowspan="1" colspan="1">(33.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;NH White</td><td align="right" valign="top" rowspan="1" colspan="1">0</td><td align="right" valign="top" rowspan="1" colspan="1">(0.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unknown</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(14.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Residential Type<sup><xref rid="TFN9" ref-type="table-fn">a</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Private Residence</td><td align="right" valign="top" rowspan="1" colspan="1">12</td><td align="right" valign="top" rowspan="1" colspan="1">(100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Congregate setting, other or unknown</td><td align="right" valign="top" rowspan="1" colspan="1">0</td><td align="right" valign="top" rowspan="1" colspan="1">(0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Underlying medical conditions</bold>
</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;1 underlying medical conditions</td><td align="right" valign="top" rowspan="1" colspan="1">10</td><td align="right" valign="top" rowspan="1" colspan="1">(83.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Neurologic disorder</td><td align="right" valign="top" rowspan="1" colspan="1">7</td><td align="right" valign="top" rowspan="1" colspan="1">(58.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Chronic lung disease</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Immunocompromised condition</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Feeding tube dependence</td><td align="right" valign="top" rowspan="1" colspan="1">2</td><td align="right" valign="top" rowspan="1" colspan="1">(16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Outcomes</bold>
</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Intensive care unit admission</td><td align="right" valign="top" rowspan="1" colspan="1">12</td><td align="right" valign="top" rowspan="1" colspan="1">(100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Invasive mechanical ventilation</td><td align="right" valign="top" rowspan="1" colspan="1">10</td><td align="right" valign="top" rowspan="1" colspan="1">(83.3)</td></tr></tbody></table><table-wrap-foot><fn id="TFN8"><p id="P78">Abbreviations: NH=non-Hispanic</p></fn><fn id="TFN9"><label>a</label><p id="P79">Private residence includes home with services. Congregate setting includes hospitalized since birth, group home/retirement, homeless shelter, psychiatric facility, facility, long-term acute care hospital, corrections facility, other, and unknown.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3.</label><caption><p id="P80">Age-adjusted cumulative population-based rates of hospitalization and severe COVID-19 per 100,000 children aged &#x0003c;18 Years by age group, sex, and race and Hispanic ethnicity identified through the COVID-19-Associated Hospitalization Surveillance Network, March 2020&#x02012;May 2021</p></caption><table frame="box" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="top" rowspan="1">Hospitalization<hr/></th><th colspan="3" align="center" valign="top" rowspan="1">Severe COVID-19<hr/></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Group</th><th align="center" valign="top" rowspan="1" colspan="1">No.</th><th align="center" valign="top" rowspan="1" colspan="1">Rate</th><th align="center" valign="top" rowspan="1" colspan="1">RR</th><th align="center" valign="top" rowspan="1" colspan="1">No.</th><th align="center" valign="top" rowspan="1" colspan="1">Rate</th><th align="center" valign="top" rowspan="1" colspan="1">RR</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Overall</td><td align="right" valign="top" rowspan="1" colspan="1">3,106</td><td align="right" valign="top" rowspan="1" colspan="1">43.2</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="right" valign="top" rowspan="1" colspan="1">860</td><td align="right" valign="top" rowspan="1" colspan="1">12.0</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age Group</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x0003c;2 years</td><td align="right" valign="top" rowspan="1" colspan="1">862</td><td align="right" valign="top" rowspan="1" colspan="1">113.7</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="right" valign="top" rowspan="1" colspan="1">199</td><td align="right" valign="top" rowspan="1" colspan="1">26.3</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x0003c;12 months</td><td align="right" valign="top" rowspan="1" colspan="1">671</td><td align="right" valign="top" rowspan="1" colspan="1">177.5</td><td align="right" valign="top" rowspan="1" colspan="1">3.2</td><td align="right" valign="top" rowspan="1" colspan="1">139</td><td align="right" valign="top" rowspan="1" colspan="1">36.8</td><td align="right" valign="top" rowspan="1" colspan="1">2.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;12&#x02012;23 months</td><td align="right" valign="top" rowspan="1" colspan="1">191</td><td align="right" valign="top" rowspan="1" colspan="1">50.3</td><td align="right" valign="top" rowspan="1" colspan="1">0.9</td><td align="right" valign="top" rowspan="1" colspan="1">60</td><td align="right" valign="top" rowspan="1" colspan="1">15.8</td><td align="right" valign="top" rowspan="1" colspan="1">1.03</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;2&#x02012;17 years</td><td align="right" valign="top" rowspan="1" colspan="1">2,244</td><td align="right" valign="top" rowspan="1" colspan="1">34.9</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td><td align="right" valign="top" rowspan="1" colspan="1">661</td><td align="right" valign="top" rowspan="1" colspan="1">10.3</td><td align="right" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;2&#x02012;5 years</td><td align="right" valign="top" rowspan="1" colspan="1">375</td><td align="right" valign="top" rowspan="1" colspan="1">23.8</td><td align="right" valign="top" rowspan="1" colspan="1">0.4</td><td align="right" valign="top" rowspan="1" colspan="1">123</td><td align="right" valign="top" rowspan="1" colspan="1">7.8</td><td align="right" valign="top" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;6&#x02012;11 years</td><td align="right" valign="top" rowspan="1" colspan="1">493</td><td align="right" valign="top" rowspan="1" colspan="1">20.5</td><td align="right" valign="top" rowspan="1" colspan="1">0.4</td><td align="right" valign="top" rowspan="1" colspan="1">159</td><td align="right" valign="top" rowspan="1" colspan="1">6.6</td><td align="right" valign="top" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;12&#x02012;17 years</td><td align="right" valign="top" rowspan="1" colspan="1">1,376</td><td align="right" valign="top" rowspan="1" colspan="1">56.1</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td><td align="right" valign="top" rowspan="1" colspan="1">379</td><td align="right" valign="top" rowspan="1" colspan="1">15.5</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex</td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Male</td><td align="right" valign="top" rowspan="1" colspan="1">1,556</td><td align="right" valign="top" rowspan="1" colspan="1">42.5</td><td align="right" valign="top" rowspan="1" colspan="1">0.97</td><td align="right" valign="top" rowspan="1" colspan="1">476</td><td align="right" valign="top" rowspan="1" colspan="1">13.0</td><td align="right" valign="top" rowspan="1" colspan="1">1.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Female</td><td align="right" valign="top" rowspan="1" colspan="1">1,550</td><td align="right" valign="top" rowspan="1" colspan="1">44.0</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td><td align="right" valign="top" rowspan="1" colspan="1">384</td><td align="right" valign="top" rowspan="1" colspan="1">10.9</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race and Hispanic Ethnicity Group<sup><xref rid="TFN12" ref-type="table-fn">a</xref></sup></td><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/><td align="right" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Hispanic</td><td align="right" valign="top" rowspan="1" colspan="1">1,051</td><td align="right" valign="top" rowspan="1" colspan="1">71.2</td><td align="right" valign="top" rowspan="1" colspan="1">3.3</td><td align="right" valign="top" rowspan="1" colspan="1">259</td><td align="right" valign="top" rowspan="1" colspan="1">17.6</td><td align="right" valign="top" rowspan="1" colspan="1">3.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;NH Black</td><td align="right" valign="top" rowspan="1" colspan="1">936</td><td align="right" valign="top" rowspan="1" colspan="1">63.0</td><td align="right" valign="top" rowspan="1" colspan="1">2.9</td><td align="right" valign="top" rowspan="1" colspan="1">314</td><td align="right" valign="top" rowspan="1" colspan="1">21.1</td><td align="right" valign="top" rowspan="1" colspan="1">3.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;NH Asian or Pacific Islander</td><td align="right" valign="top" rowspan="1" colspan="1">149</td><td align="right" valign="top" rowspan="1" colspan="1">25.3</td><td align="right" valign="top" rowspan="1" colspan="1">1.2</td><td align="right" valign="top" rowspan="1" colspan="1">36</td><td align="right" valign="top" rowspan="1" colspan="1">6.0</td><td align="right" valign="top" rowspan="1" colspan="1">1.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;NH White</td><td align="right" valign="top" rowspan="1" colspan="1">767</td><td align="right" valign="top" rowspan="1" colspan="1">21.4</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td><td align="right" valign="top" rowspan="1" colspan="1">193</td><td align="right" valign="top" rowspan="1" colspan="1">5.4</td><td align="right" valign="top" rowspan="1" colspan="1">ref</td></tr></tbody></table><table-wrap-foot><fn id="TFN10"><p id="P81">Abbreviations: COVID-19=Coronavirus Disease-2019, NH=non-Hispanic, RR=Rate Ratio</p></fn><fn id="TFN11"><p id="P82">Note. Age-adjusted cumulative rates reflect the number of intensive care unit admissions or invasive mechanical ventilations among children aged &#x0003c;18 years divided by the 2019 bridged-race postcensal population estimates from the National Center for Health Statistics</p></fn><fn id="TFN12"><label>a</label><p id="P83">Rates not presented for the following race and ethnicity groups due to insufficient sample size: NH American Indian or Alaska Native, NH multiple races, NH other or unknown</p></fn></table-wrap-foot></table-wrap><boxed-text id="BX1" position="float"><sec id="S25"><title>What&#x02019;s Known on This Subject</title><p id="P84">Children can experience severe disease outcomes due to COVID-19 illness, including intensive care unit admission, invasive mechanical ventilation, and death. However, more information is needed to identify the pediatric subgroups at greatest risk of severe disease to inform prevention efforts.</p></sec><sec id="S26"><title>What This Study Adds</title><p id="P85">Using data from 2,293 hospitalized children with laboratory-confirmed SARS-CoV-2 infection in 14 states during March 2020&#x02013;May 2021, we found that specific underlying conditions were associated with increased risk of severe COVID-19, and these varied by age group.</p></sec></boxed-text></floats-group></article>