Background: We performed a phenome-wide association study to identify pre-existing conditions related to Coronavirus disease 2019 (COVID-19) prognosis across the medical phenome and how they vary by race. Methods: The study is comprised of 53,853 patients who were tested/diagnosed for COVID-19 between 10 March and 2 September 2020 at a large academic medical center. Results: Pre-existing conditions strongly associated with hospitalization were renal failure, pulmonary heart disease, and respiratory failure. Hematopoietic conditions were associated with intensive care unit (ICU) admission/mortality and mental disorders were associated with mortality in non-Hispanic Whites. Circulatory system and genitourinary conditions were associated with ICU admission/mortality in non-Hispanic Blacks. Conclusions: Understanding pre-existing clinical diagnoses related to COVID-19 outcomes informs the need for targeted screening to support specific vulnerable populations to improve disease prevention and healthcare delivery.
【저자키워드】 Biobank, Health disparities, Odds ratio, EHR, phenome, risk profile, 【초록키워드】 COVID-19, Coronavirus disease 2019, Respiratory failure, Mortality, intensive care, Prognosis, Hospitalization, outcome, ICU, Population, Mental disorder, healthcare, Patient, understanding, disease, association, Support, renal, hematopoietic, IMPROVE, identify, performed, condition, Circulatory, clinical diagnose, 【제목키워드】 COVID-19, Medicine, race, Record,