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Understanding which children are at increased risk for poor outcome with COVID-19 is critical. In this study, we link pediatric population-based data from the US Center for Disease Control and Prevention to COVID-19 hospitalization and in-hospital death. In 27,045 US children with confirmed COVID-19, we demonstrate that African American [OR 2.28 (95% CI: 1.93, 2.70)] or mixed race [OR 2.95 (95% CI: 2.28, 3.82)] and an underlying medical condition [OR 3.55 (95% CI: 3.14, 4.01)] are strong predictors for hospitalization. Death occurred in 39 (0.19%) of 20,096 hospitalized children; children with a prior medical condition had an increased odd for death [OR 8.8 (95% CI: 3.7, 21.1)].Conclusion: Hospitalization and in-hospital death are rare in children diagnosed with COVID-19. However, children at higher risk for these outcomes include those with an underlying medical condition, as well as those of African American descent. What is Known: • Demographic factors are independent prognosticators of poor outcome in children with COVID-19. What is New: • Children with an underlying medical condition and those from an African American or mixed race/ethnicity are at high risk for COVID-19 hospitalization. • History of a comorbidity supersedes age, gender, and race/ethnicity as a risk factor for in-hospital pediatric COVID-19 death.
Pubmed ID: 33474580
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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. Islander is a comprehensive online database containing genomic islands discovered in completely sequenced bacterial genomes by the algorithm. Islands are transmitted between prokaryotic strains and therefore play a major role in genome evolution. An island often encodes an integrase gene that specifies the island''s position in the host genome. Usually integrases specify tRNA genes, and the island splits the the tRNA gene when it integrates. However the island also carries sequence that replaces the split-off portion, restoring an intact tRNA gene. Thus an island is often marked by a tRNA gene at one end, and a fragment of that gene at the other end. The islands in this database were identified using this principle through the following procedure: :1. Search for tRNA and tmRNA genes using tRNAscan-SE and BRUCE on whole prokaryotic genomes. :2. Search for significant hits to each tRNA and tmRNA gene using BLAST against the source genome. :3. Narrow down hits to those containing integrase genes (required for site-specific integration into the host genome). :4. Remove false positives (e.g., tRNA gene fragment not from end of gene, or in wrong orientation). :5. Enter into mysql database, display on website using Perl CGI pages.
View all literature mentionsA Software resource for statistical analysis and presentation of graphics.
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