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 Lisabeth; Lars G. Fritsche; Bhramar Mukherjee

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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 Lisabeth; Lars G. Fritsche; Bhramar Mukherjee.

Affiliation

Maxwell Salvatore; Department of Biostatistics, University of Michigan
Tian Gu; Department of Biostatistics, University of Michigan
Jasmine A. Mack; Department of Biostatistics, University of Michigan
Swaraaj Prabhu Sankar; Data Office for Clinical and Translational Research, University of Michigan
Snehal Patil; Precision Health, University of Michigan
Thomas S. Valley; University of Michigan Medical School
Karandeep Singh; University of Michigan Medical School
Brahmajee K. Nallamothu; University of Michigan Medical School
Sachin Kheterpal; University of Michigan Medical School
Lynda Lisabeth; Department of Epidemiology, School of Public Health, University of Michigan
Lars G. Fritsche; University of Michigan
Bhramar Mukherjee; University of Michigan

Preprint in English | medRxiv | ID: ppmedrxiv-20141564

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ABSTRACT

ABSTRACT

BackgroundWe perform a phenome-wide scan to identify pre-existing conditions related to COVID-19 susceptibility and prognosis across the medical phenome and how they vary by race. MethodsThe study is comprised of 53,853 patients who were tested/positive for COVID-19 between March 10 and September 2, 2020 at a large academic medical center. ResultsPre-existing conditions strongly associated with hospitalization were renal failure, pulmonary heart disease, and respiratory failure. Hematopoietic conditions were associated with 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. ConclusionsUnderstanding 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.

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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint