A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine

Author:

Salvatore MaxwellORCID,Gu TianORCID,Mack Jasmine A.ORCID,Prabhu Sankar Swaraaj,Patil Snehal,Valley Thomas S.,Singh Karandeep,Nallamothu Brahmajee K.,Kheterpal Sachin,Lisabeth Lynda,Fritsche Lars G.ORCID,Mukherjee Bhramar

Abstract

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.

Funder

University of Michigan Precision Health Initiative

Michigan Institute for Data Science

National Science Foundation

National Institutes of Health

Publisher

MDPI AG

Subject

General Medicine

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