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Article

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

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Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
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Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
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Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
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Rogel Cancer Center, Michigan Medicine, Ann Arbor, MI 48109, USA
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Data Office for Clinical and Translational Research, University of Michigan, Ann Arbor, MI 41809, USA
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Division of Pulmonary and Critical Care Medicine, University of Michigan Medicine, Ann Arbor, MI 48109, USA
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Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI 48109, USA
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Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI 48109, USA
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Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA
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Division of Cardiovascular Medicine, Michigan Medicine, Ann Arbor, MI 48109, USA
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Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI 48109, USA
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Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
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Author to whom correspondence should be addressed.
Academic Editor: Alessandra Falchi
J. Clin. Med. 2021, 10(7), 1351; https://doi.org/10.3390/jcm10071351
Received: 10 February 2021 / Revised: 10 March 2021 / Accepted: 17 March 2021 / Published: 25 March 2021
(This article belongs to the Section Epidemiology & Public Health)
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. View Full-Text
Keywords: biobank; health disparities; EHR; phenome; odds ratio; risk profile biobank; health disparities; EHR; phenome; odds ratio; risk profile
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MDPI and ACS Style

Salvatore, M.; Gu, T.; Mack, J.A.; Prabhu Sankar, S.; Patil, S.; Valley, T.S.; Singh, K.; Nallamothu, B.K.; Kheterpal, S.; Lisabeth, L.; Fritsche, L.G.; Mukherjee, B. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. J. Clin. Med. 2021, 10, 1351. https://doi.org/10.3390/jcm10071351

AMA Style

Salvatore M, Gu T, Mack JA, Prabhu Sankar S, Patil S, Valley TS, Singh K, Nallamothu BK, Kheterpal S, Lisabeth L, Fritsche LG, Mukherjee B. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. Journal of Clinical Medicine. 2021; 10(7):1351. https://doi.org/10.3390/jcm10071351

Chicago/Turabian Style

Salvatore, Maxwell, 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, and Bhramar Mukherjee. 2021. "A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine" Journal of Clinical Medicine 10, no. 7: 1351. https://doi.org/10.3390/jcm10071351

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