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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.


ABSTRACT: We 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. The 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. Pre-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. 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.

SUBMITTER: Salvatore M 

PROVIDER: S-EPMC7418740 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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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.

Salvatore Maxwell M   Gu Tian T   Mack Jasmine A JA   Sankar Swaraaj Prabhu SP   Patil Snehal S   Valley Thomas S TS   Singh Karandeep K   Nallamothu Brahmajee K BK   Kheterpal Sachin S   Lisabeth Lynda L   Fritsche Lars G LG   Mukherjee Bhramar B  

medRxiv : the preprint server for health sciences 20210220


<h4>Background</h4>We 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.<h4>Methods</h4>The 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.<h4>Results</h4>Pre-existing conditions strongly associated with hospitalization were <i>renal failure, pulmonary heart disease</i>, and <i>re  ...[more]

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