4.6 Article

Severe Acute Respiratory Syndrome Coronavirus 2 Clinical Syndromes and Predictors of Disease Severity in Hospitalized Children and Youth

Journal

JOURNAL OF PEDIATRICS
Volume 230, Issue -, Pages 23-+

Publisher

MOSBY-ELSEVIER
DOI: 10.1016/j.jpeds.2020.11.016

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The study aimed to characterize the demographic and clinical features of pediatric SARS-CoV-2 syndromes and identify predictive admission variables for disease severity. The results showed that obesity and hypoxia on admission were predictive of severe respiratory disease, while lower absolute lymphocyte count and higher C-reactive protein were predictive of severe MIS-C. Race/ethnicity or socioeconomic status were not predictive factors for disease severity.
Objective To characterize the demographic and clinical features of pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) syndromes and identify admission variables predictive of disease severity. Study design We conducted a multicenter, retrospective, and prospective study of pediatric patients hospitalized with acute SARS-CoV-2 infections and multisystem inflammatory syndrome in children (MIS-C) at 8 sites in New York, New Jersey, and Connecticut. Results We identified 281 hospitalized patients with SARS-CoV-2 infections and divided them into 3 groups based on clinical features. Overall, 143 (51%) had respiratory disease, 69 (25%) had MIS-C, and 69 (25%) had other manifestations including gastrointestinal illness or fever. Patients with MIS-C were more likely to identify as nonHispanic black compared with patients with respiratory disease (35% vs 18%, P =.02). Seven patients (2%) died and 114 (41%) were admitted to the intensive care unit. In multivariable analyses, obesity (OR 3.39, 95% CI 1.26-9.10, P =.02) and hypoxia on admission (OR 4.01; 95% CI 1.14-14.15; P =.03) were predictive of severe respiratory disease. Lower absolute lymphocyte count (OR 8.33 per unit decrease in 10(9) cells/L, 95% CI 2.32-33.33, P =.001) and greater C-reactive protein (OR 1.06 per unit increase in mg/dL, 95% CI 1.01-1.12, P =.017) were predictive of severe MIS-C. Race/ethnicity or socioeconomic status were not predictive of disease severity. Conclusions We identified variables at the time of hospitalization that may help predict the development of severe SARS-CoV-2 disease manifestations in children and youth. These variables may have implications for future prognostic tools that inform hospital admission and clinical management.

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