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Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative.
Martin, Blake; DeWitt, Peter E; Russell, Seth; Anand, Adit; Bradwell, Katie R; Bremer, Carolyn; Gabriel, Davera; Girvin, Andrew T; Hajagos, Janos G; McMurry, Julie A; Neumann, Andrew J; Pfaff, Emily R; Walden, Anita; Wooldridge, Jacob T; Yoo, Yun Jae; Saltz, Joel; Gersing, Ken R; Chute, Christopher G; Haendel, Melissa A; Moffitt, Richard; Bennett, Tellen D.
  • Martin B; Section of Critical Care Medicine, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.
  • DeWitt PE; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.
  • Russell S; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora.
  • Anand A; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Bradwell KR; Palantir Technologies, Denver, Colorado.
  • Bremer C; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Gabriel D; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Girvin AT; Palantir Technologies, Denver, Colorado.
  • Hajagos JG; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • McMurry JA; Translational and Integrative Sciences Center, University of Colorado, Aurora.
  • Neumann AJ; Center for Health AI, University of Colorado, Aurora.
  • Pfaff ER; Translational and Integrative Sciences Center, University of Colorado, Aurora.
  • Walden A; Center for Health AI, University of Colorado, Aurora.
  • Wooldridge JT; North Carolina Translational and Clinical Sciences Institute), University of North Carolina at Chapel Hill, Chapel Hill.
  • Yoo YJ; Center for Health AI, University of Colorado, Aurora.
  • Saltz J; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Gersing KR; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Chute CG; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Haendel MA; National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
  • Moffitt R; Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Bennett TD; Schools of Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland.
JAMA Netw Open ; 5(2): e2143151, 2022 02 01.
Article in English | MEDLINE | ID: covidwho-1669321
ABSTRACT
Importance Understanding of SARS-CoV-2 infection in US children has been limited by the lack of large, multicenter studies with granular data.

Objective:

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). Design, Setting, and

Participants:

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. Main Outcomes and

Measures:

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.

Results:

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). Conclusions and Relevance 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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid / Variants Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: North America Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid / Variants Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: North America Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article