{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Woodruff RC"],"funding":["Intramural CDC HHS","CDC HHS"],"pagination":["e2021053418"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9213563"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["149(1)"],"pubmed_abstract":["Objectives
Describe population-based rates and risk factors for severe coronavirus disease 2019 (COVID-19) (ie, ICU admission, invasive mechanical ventilation, or death) among hospitalized children.Methods
During March 2020 to May 2021, the COVID-19-Associated Hospitalization Surveillance Network identified 3106 children hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection in 14 states. Among 2293 children primarily admitted for COVID-19, multivariable generalized estimating equations generated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) of the associations between demographic and medical characteristics abstracted from medical records and severe COVID-19. We calculated age-adjusted cumulative population-based r"],"journal":["Pediatrics"],"pubmed_title":["Risk Factors for Severe COVID-19 in Children."],"pmcid":["PMC9213563"],"funding_grant_id":["CC999999","NU38OT000297"],"pubmed_authors":["Sosin DM","Pham H","Talbot HK","Bye E","Chai SJ","Whitaker M","Meek J","Billing LM","Woodruff RC","Reeg L","Sutton M","P Havers F","Kawasaki B","Taylor CA","Muse A","Bennett NM","Anderson EJ","L McMorrow M","McCaffrey K","Weigel A","Monroe ML","Campbell AP","Patel K"],"additional_accession":[]},"is_claimable":false,"name":"Risk Factors for Severe COVID-19 in Children.","description":"Objectives
Describe population-based rates and risk factors for severe coronavirus disease 2019 (COVID-19) (ie, ICU admission, invasive mechanical ventilation, or death) among hospitalized children.Methods
During March 2020 to May 2021, the COVID-19-Associated Hospitalization Surveillance Network identified 3106 children hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection in 14 states. Among 2293 children primarily admitted for COVID-19, multivariable generalized estimating equations generated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) of the associations between demographic and medical characteristics abstracted from medical records and severe COVID-19. We calculated age-adjusted cumulative population-based r","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-19T18:09:15.918Z","creation":"2025-04-19T18:09:15.918Z"},"accession":"S-EPMC9213563","cross_references":{"pubmed":["34935038"],"doi":["10.1542/peds.2021-053418"]}}