Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 02 2022
Historique:
entrez: 8 2 2022
pubmed: 9 2 2022
medline: 15 2 2022
Statut: epublish

Résumé

Understanding of SARS-CoV-2 infection in US children has been limited by the lack of large, multicenter studies with granular data. To examine the characteristics, changes over time, outcomes, and severity risk factors of children with SARS-CoV-2 within the National COVID Cohort Collaborative (N3C). A prospective cohort study of encounters with end dates before September 24, 2021, was conducted at 56 N3C facilities throughout the US. Participants included children younger than 19 years at initial SARS-CoV-2 testing. Case incidence and severity over time, demographic and comorbidity severity risk factors, vital sign and laboratory trajectories, clinical outcomes, and acute COVID-19 vs multisystem inflammatory syndrome in children (MIS-C), and Delta vs pre-Delta variant differences for children with SARS-CoV-2. A total of 1 068 410 children were tested for SARS-CoV-2 and 167 262 test results (15.6%) were positive (82 882 [49.6%] girls; median age, 11.9 [IQR, 6.0-16.1] years). Among the 10 245 children (6.1%) who were hospitalized, 1423 (13.9%) met the criteria for severe disease: mechanical ventilation (796 [7.8%]), vasopressor-inotropic support (868 [8.5%]), extracorporeal membrane oxygenation (42 [0.4%]), or death (131 [1.3%]). Male sex (odds ratio [OR], 1.37; 95% CI, 1.21-1.56), Black/African American race (OR, 1.25; 95% CI, 1.06-1.47), obesity (OR, 1.19; 95% CI, 1.01-1.41), and several pediatric complex chronic condition (PCCC) subcategories were associated with higher severity disease. Vital signs and many laboratory test values from the day of admission were predictive of peak disease severity. Variables associated with increased odds for MIS-C vs acute COVID-19 included male sex (OR, 1.59; 95% CI, 1.33-1.90), Black/African American race (OR, 1.44; 95% CI, 1.17-1.77), younger than 12 years (OR, 1.81; 95% CI, 1.51-2.18), obesity (OR, 1.76; 95% CI, 1.40-2.22), and not having a pediatric complex chronic condition (OR, 0.72; 95% CI, 0.65-0.80). The children with MIS-C had a more inflammatory laboratory profile and severe clinical phenotype, with higher rates of invasive ventilation (117 of 707 [16.5%] vs 514 of 8241 [6.2%]; P < .001) and need for vasoactive-inotropic support (191 of 707 [27.0%] vs 426 of 8241 [5.2%]; P < .001) compared with those who had acute COVID-19. Comparing children during the Delta vs pre-Delta eras, there was no significant change in hospitalization rate (1738 [6.0%] vs 8507 [6.2%]; P = .18) and lower odds for severe disease (179 [10.3%] vs 1242 [14.6%]) (decreased by a factor of 0.67; 95% CI, 0.57-0.79; P < .001). In this cohort study of US children with SARS-CoV-2, there were observed differences in demographic characteristics, preexisting comorbidities, and initial vital sign and laboratory values between severity subgroups. Taken together, these results suggest that early identification of children likely to progress to severe disease could be achieved using readily available data elements from the day of admission. Further work is needed to translate this knowledge into improved outcomes.

Identifiants

pubmed: 35133437
pii: 2788844
doi: 10.1001/jamanetworkopen.2021.43151
pmc: PMC8826172
doi:

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2143151

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001998
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002001
Pays : United States
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Pays : United States
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Organisme : NIGMS NIH HHS
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Organisme : NICHD NIH HHS
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Organisme : NCATS NIH HHS
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Pays : United States

Commentaires et corrections

Type : UpdateOf

Références

J Hosp Med. 2021 Feb;16(2):90-92
pubmed: 33147129
Lancet Respir Med. 2021 Aug;9(8):e85
pubmed: 34265238
Lancet Infect Dis. 2020 Aug;20(8):e192-e197
pubmed: 32539990
JAMA. 2021 Mar 2;325(9):855-864
pubmed: 33523115
Arch Pediatr. 2020 Jul;27(5):235-238
pubmed: 32518045
J Med Virol. 2021 Jan;93(1):234-240
pubmed: 32558955
Int J Surg. 2014 Dec;12(12):1495-9
pubmed: 25046131
JAMA Pediatr. 2018 Jun 1;172(6):596-598
pubmed: 29710063
Lancet. 2021 Jun 26;397(10293):2461-2462
pubmed: 34139198
J Med Virol. 2020 Jul;92(7):747-754
pubmed: 32232980
N Engl J Med. 2021 Feb 25;384(8):693-704
pubmed: 32678530
JAMA Netw Open. 2021 Jul 1;4(7):e2116901
pubmed: 34255046
N Engl J Med. 2020 Jul 23;383(4):334-346
pubmed: 32598831
JAMA Pediatr. 2020 Oct 1;174(10):e202430
pubmed: 32492092
Pediatrics. 2000 Jul;106(1 Pt 2):205-9
pubmed: 10888693
JAMA Pediatr. 2020 Sep 1;174(9):868-873
pubmed: 32392288
Acta Paediatr. 2020 Jun;109(6):1088-1095
pubmed: 32202343
JAMA Pediatr. 2021 Feb 1;175(2):176-184
pubmed: 33226415
J Am Med Inform Assoc. 2021 Mar 1;28(3):427-443
pubmed: 32805036
MMWR Morb Mortal Wkly Rep. 2021 Sep 10;70(36):1255-1260
pubmed: 34499627
EClinicalMedicine. 2021 Oct;40:101112
pubmed: 34485878
Hosp Pediatr. 2021 Jan;11(1):71-78
pubmed: 33033078
JAMA Netw Open. 2021 Jun 1;4(6):e2111182
pubmed: 34097050
Lancet. 2020 Jun 6;395(10239):1771-1778
pubmed: 32410760
JAMA Netw Open. 2021 Apr 1;4(4):e215298
pubmed: 33835179
Clin Microbiol Infect. 2021 Jan;27(1):83-88
pubmed: 32745596
JAMA. 2021 Mar 16;325(11):1074-1087
pubmed: 33625505
JAMA Pediatr. 2021 Aug 1;175(8):837-845
pubmed: 33821923
Pediatrics. 2021 Mar;147(3):
pubmed: 33323493
Lancet Child Adolesc Health. 2020 Sep;4(9):653-661
pubmed: 32593339

Auteurs

Blake Martin (B)

Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.

Peter E DeWitt (PE)

Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.

Seth Russell (S)

Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.

Adit Anand (A)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Katie R Bradwell (KR)

Palantir Technologies, Denver, Colorado.

Carolyn Bremer (C)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Davera Gabriel (D)

Johns Hopkins University School of Medicine, Baltimore, Maryland.

Andrew T Girvin (AT)

Palantir Technologies, Denver, Colorado.

Janos G Hajagos (JG)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Julie A McMurry (JA)

Translational and Integrative Sciences Center, University of Colorado, Aurora.
Center for Health AI, University of Colorado, Aurora.

Andrew J Neumann (AJ)

Translational and Integrative Sciences Center, University of Colorado, Aurora.
Center for Health AI, University of Colorado, Aurora.

Emily R Pfaff (ER)

North Carolina Translational and Clinical Sciences Institute), University of North Carolina at Chapel Hill, Chapel Hill.

Anita Walden (A)

Center for Health AI, University of Colorado, Aurora.

Jacob T Wooldridge (JT)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Yun Jae Yoo (YJ)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Joel Saltz (J)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Ken R Gersing (KR)

National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.

Christopher G Chute (CG)

Johns Hopkins University School of Medicine, Baltimore, Maryland.
Schools of Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland.

Melissa A Haendel (MA)

Center for Health AI, University of Colorado, Aurora.

Richard Moffitt (R)

Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.

Tellen D Bennett (TD)

Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.
Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.

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Classifications MeSH