publication . Article . Other literature type . Preprint . 2021

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

Maxwell Salvatore; Tian Gu; Jasmine A Mack; Swaraaj Prabhu Sankar; Snehal Patil; Thomas S. Valley; Karandeep Singh; Brahmajee K. Nallamothu; Sachin Kheterpal; Lynda D. Lisabeth; ...
Open Access English
  • Published: 25 Mar 2021 Journal: Journal of Clinical Medicine (issn: 2077-0383, Copyright policy)
  • Publisher: Multidisciplinary Digital Publishing Institute
Abstract
Blacks/African Americans are overrepresented in the number of hospitalizations and deaths from COVID-19 in the United States, which could be explained through differences in the prevalence of existing comorbidities. We performed a disease-disease phenome-wide association study (PheWAS) using data representing 5,698 COVID-19 patients from a large academic medical center, stratified by race. We explore the association of 1,043 pre-occurring conditions with several COVID-19 outcomes: testing positive, hospitalization, ICU admission, and mortality. Obesity, iron deficiency anemia and type II diabetes were associated with susceptibility in the full cohort, while ill-defined descriptions/complications of heart disease and stage III chronic kidney disease were associated among non-Hispanic White (NHW) and non-Hispanic Black/African American (NHAA) patients, respectively. The top phenotype hits in the full, NHW, and NHAA cohorts for hospitalization were acute renal failure, hypertension, and insufficiency/arrest respiratory failure, respectively. Suggestive relationships between respiratory issues and COVID-19-related ICU admission and mortality were observed, while circulatory system diseases showed stronger association in NHAA patients. We were able to replicate some known comorbidities related to COVID-19 outcomes while discovering potentially unknown associations, such as endocrine/metabolic conditions related to hospitalization and mental disorders related to mortality, for future validation. We provide interactive PheWAS visualization for broader exploration.
Fields of Science and Technology classification (FOS)
03 medical and health sciences, 0302 clinical medicine, 030212 general & internal medicine, 0303 health sciences, 030304 developmental biology
Sustainable Development Goals (SDG)
2. Zero hunger, 3. Good health
Subjects
free text keywords: biobank, health disparities, EHR, phenome, odds ratio, risk profile, General Engineering, Article, Medicine, business.industry, business, Medical diagnosis, Intensive care unit, law.invention, law, Health equity, Odds ratio, Phenome, Respiratory failure, Pulmonary heart disease, medicine.disease, Biobank, Emergency medicine, medicine.medical_specialty, Cohort, Kidney disease, Internal medicine, MEDLINE, Heart disease, Obesity, lcsh:Medicine, lcsh:R
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  • COVID-19
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