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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; Gu, Tian; Mack, Jasmine A; Prabhu Sankar, Swaraaj; Patil, Snehal; Valley, Thomas S; Singh, Karandeep; Nallamothu, Brahmajee K; Kheterpal, Sachin; Lisabeth, Lynda; Fritsche, Lars G; Mukherjee, Bhramar.
  • Salvatore M; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Gu T; Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA.
  • Mack JA; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Prabhu Sankar S; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Patil S; Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA.
  • Valley TS; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Singh K; Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA.
  • Nallamothu BK; Rogel Cancer Center, Michigan Medicine, Ann Arbor, MI 48109, USA.
  • Kheterpal S; Data Office for Clinical and Translational Research, University of Michigan, Ann Arbor, MI 41809, USA.
  • Lisabeth L; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Fritsche LG; Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA.
  • Mukherjee B; Division of Pulmonary and Critical Care Medicine, University of Michigan Medicine, Ann Arbor, MI 48109, USA.
J Clin Med ; 10(7)2021 Mar 25.
Article in English | MEDLINE | ID: covidwho-1154435
Preprint
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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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Jcm10071351

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Jcm10071351