Risk Factors for Coronavirus Disease 2019 (COVID-19)–Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System

作者：Jean Y. Ko, Melissa L. Danielson, Machell Town, Gordana Derado, Kurt J. Greenlund, Pam Daily Kirley, Nisha B. Alden, Kimberly M. Yousey-Hindes, Evan J. Anderson, Patricia Ryan, Sue Kim, Ruth Lynfield, Salina M Torres, Grant R. Barney, Nancy M. Bennett, Melissa Sutton, H. Keipp Talbot, Mary B. Hill, Aron J. Hall, Alicia M. Fry, Shikha Garg, Lindsay Kim, COVID-NET Surveillance Team, MICHAEL D. WHITAKER, Alissa C. O’Halloran, Rachel Holstein, William S. Garvin, Shua J. Chai, Breanna Kawasaki, James I. Meek, Kyle P. Openo, Maya Monroe, Justin J. Henderson, Kathy Como-Sabetti, Sarah Shrum Davis, Nancy Spina, Christina B. Felsen, Nicole West, William Schaffner, Andrea George · 发表于：Clinical Infectious Diseases · 年份：2020 · DOI：10.1093/cid/ciaa1419 · 被引用次数：381 · 研究领域：COVID-19 Clinical Research Studies、COVID-19 and healthcare impacts、Chronic Disease Management Strategies

BACKGROUND: Data on risk factors for coronavirus disease 2019 (COVID-19)-associated hospitalization are needed to guide prevention efforts and clinical care. We sought to identify factors independently associated with COVID-19-associated hospitalizations. METHODS: Community-dwelling adults (aged ≥18 years) in the United States hospitalized with laboratory-confirmed COVID-19 during 1 March-23 June 2020 were identified from the COVID-19-Associated Hospitalization Surveillance Network (COVID-NET), a multistate surveillance system. To calculate hospitalization rates by age, sex, and race/ethnicity strata, COVID-NET data served as the numerator and Behavioral Risk Factor Surveillance System estimates served as the population denominator for characteristics of interest. Underlying medical conditions examined included hypertension, coronary artery disease, history of stroke, diabetes, obesity, severe obesity, chronic kidney disease, asthma, and chronic obstructive pulmonary disease. Generalized Poisson regression models were used to calculate adjusted rate ratios (aRRs) for hospitalization. RESULTS: Among 5416 adults, hospitalization rates (all reported as aRR [95% confidence interval]) were higher among those with ≥3 underlying conditions (vs without) (5.0 [3.9-6.3]), severe obesity (4.4 [3.4-5.7]), chronic kidney disease (4.0 [3.0-5.2]), diabetes (3.2 [2.5-4.1]), obesity (2.9 [2.3-3.5]), hypertension (2.8 [2.3-3.4]), and asthma (1.4 [1.1-1.7]), after adjusting for age, sex, and ra...