biostudies-literatureUnknownAparicio CNCATS NIH HHSNIAID NIH HHSNHLBI NIH HHS<h4>Background</h4>Risk stratification is a cornerstone of the Pediatric Infectious Diseases Society COVID-19 treatment guidance. This systematic review and meta-analysis aimed to define the clinical characteristics and comorbidities associated with critical COVID-19 in children and adolescents.<h4>Methods</h4>Two independent reviewers screened the literature (Medline and EMBASE) for studies published through August 2023 that reported outcome data on patients aged ≤21 years with COVID-19. Critical disease was defined as an invasive mechanical ventilation requirement, intensive care unit admission, or death. Random effects models were used to estimate pooled odds ratios (OR) with 95% confidence intervals (CI), and heterogeneity was explored through subgroup analyses.<h4>Results</h4>Among 10medRxiv : the preprint server for health sciences2024.01.17.24301452https://www.ebi.ac.uk/biostudies/studies/S-EPMC10827273biostudies-literatureRisk Factors for Pediatric Critical COVID-19: A Systematic Review and Meta-Analysis.PMC10827273R01 AI123204OT2 HL161847TL1 TR001864K23 AI159518Bio LLJames SHMaron GMAnosike BINakamura MMOliveira CRWillis ZILittle CWolf JSue PKMiller CSingh PAparicio CfalseRisk Factors for Pediatric Critical COVID-19: A Systematic Review and Meta-Analysis.<h4>Background</h4>Risk stratification is a cornerstone of the Pediatric Infectious Diseases Society COVID-19 treatment guidance. This systematic review and meta-analysis aimed to define the clinical characteristics and comorbidities associated with critical COVID-19 in children and adolescents.<h4>Methods</h4>Two independent reviewers screened the literature (Medline and EMBASE) for studies published through August 2023 that reported outcome data on patients aged ≤21 years with COVID-19. Critical disease was defined as an invasive mechanical ventilation requirement, intensive care unit admission, or death. Random effects models were used to estimate pooled odds ratios (OR) with 95% confidence intervals (CI), and heterogeneity was explored through subgroup analyses.<h4>Results</h4>Among 102024-01-01T00:00:00Z2024 Jan2026-04-08T06:00:54.729Z2025-04-05T13:57:15.369ZS-EPMC108272733829304010.1101/2024.01.17.24301452