Journal
JOURNAL OF CLINICAL MEDICINE
Volume 10, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/jcm10071351
Keywords
biobank; health disparities; EHR; phenome; odds ratio; risk profile
Categories
Funding
- University of Michigan Precision Health Initiative
- University of Michigan Rogel Cancer Center
- Michigan Institute of Data Science
- National Science Foundation [DMS 1712933]
- National Institutes of Health [P30 CA 046592-30-S3]
Ask authors/readers for more resources
This study identified pre-existing conditions associated with COVID-19 outcomes, such as hospitalization, ICU admission, and mortality. It also highlighted the importance of targeted screening for specific vulnerable populations and revealed differences in disease prognosis among different racial groups.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available