Underlying Medical Conditions Associated With Severe COVID-19 Illness Among Children

作者：Lyudmyla Kompaniyets, Nickolas Theophilos Agathis, Jennifer Mize Nelson, Leigh Ellyn Preston, Jean Y. Ko, Brook Belay, Audrey Flak Pennington, Melissa L. Danielson, Carla L. DeSisto, Jennifer Chevinsky, Lyna Z. Schieber, Hussain R. Yusuf, James M. Baggs, William R. Mac Kenzie, Karen K. Wong, Tegan K. Boehmer, Adi V. Gundlapalli, Alyson B. Goodman · 发表于：JAMA Network Open · 年份：2021 · DOI：10.1001/jamanetworkopen.2021.11182 · 被引用次数：416 · 研究领域：COVID-19 Clinical Research Studies、Kawasaki Disease and Coronary Complications、COVID-19 and Mental Health

Importance: Information on underlying conditions and severe COVID-19 illness among children is limited. Objective: To examine the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. Design, Setting, and Participants: This cross-sectional study included patients aged 18 years and younger with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code U07.1 (COVID-19) or B97.29 (other coronavirus) during an emergency department or inpatient encounter from March 2020 through January 2021. Data were collected from the Premier Healthcare Database Special COVID-19 Release, which included data from more than 800 US hospitals. Multivariable generalized linear models, controlling for patient and hospital characteristics, were used to estimate adjusted risk of severe COVID-19 illness associated with underlying medical conditions and medical complexity. Exposures: Underlying medical conditions and medical complexity (ie, presence of complex or noncomplex chronic disease). Main Outcomes and Measures: Hospitalization and severe illness when hospitalized (ie, combined outcome of intensive care unit admission, invasive mechanical ventilation, or death). Results: Among 43 465 patients with COVID-19 aged 18 years or younger, the median (interquartile range) age was 12 (4-16) years, 22 943 (52.8%) were female patients, and 12 491 (28.7%) had underlying medical conditions. The most common diag...