A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine

  1. Maxwell Salvatore
  2. Tian Gu
  3. Jasmine A. Mack
  4. Swaraaj Prabhu Sankar
  5. Snehal Patil
  6. Thomas S. Valley
  7. Karandeep Singh
  8. Brahmajee K. Nallamothu
  9. Sachin Kheterpal
  10. Lynda Lisabeth
  11. Lars G. Fritsche
  12. Bhramar Mukherjee
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Abstract

Background

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.

Methods

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.

Results

Pre-existing conditions strongly associated with <underline>hospitalization</underline> were renal failure, pulmonary heart disease, and respiratory failure. Hematopoietic conditions were associated with <underline>ICU admission/mortality</underline> and mental disorders were associated with <underline>mortality</underline> in non-Hispanic Whites. Circulatory system and genitourinary conditions were associated with <underline>ICU admission/mortality</underline> 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.

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