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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

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 Septembe...

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Autores principales: Salvatore, Maxwell, Gu, Tian, Mack, Jasmine A., Sankar, Swaraaj Prabhu, Patil, Snehal, Valley, Thomas S., Singh, Karandeep, Nallamothu, Brahmajee K., Kheterpal, Sachin, Lisabeth, Lynda, Fritsche, Lars G., Mukherjee, Bhramar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418740/
https://www.ncbi.nlm.nih.gov/pubmed/32793923
http://dx.doi.org/10.1101/2020.06.29.20141564
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author Salvatore, Maxwell
Gu, Tian
Mack, Jasmine A.
Sankar, Swaraaj Prabhu
Patil, Snehal
Valley, Thomas S.
Singh, Karandeep
Nallamothu, Brahmajee K.
Kheterpal, Sachin
Lisabeth, Lynda
Fritsche, Lars G.
Mukherjee, Bhramar
author_facet Salvatore, Maxwell
Gu, Tian
Mack, Jasmine A.
Sankar, Swaraaj Prabhu
Patil, Snehal
Valley, Thomas S.
Singh, Karandeep
Nallamothu, Brahmajee K.
Kheterpal, Sachin
Lisabeth, Lynda
Fritsche, Lars G.
Mukherjee, Bhramar
author_sort Salvatore, Maxwell
collection PubMed
description 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 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. 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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spelling pubmed-74187402020-08-13 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. Sankar, Swaraaj Prabhu Patil, Snehal Valley, Thomas S. Singh, Karandeep Nallamothu, Brahmajee K. Kheterpal, Sachin Lisabeth, Lynda Fritsche, Lars G. Mukherjee, Bhramar medRxiv Article 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 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. 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. Cold Spring Harbor Laboratory 2021-02-20 /pmc/articles/PMC7418740/ /pubmed/32793923 http://dx.doi.org/10.1101/2020.06.29.20141564 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Salvatore, Maxwell
Gu, Tian
Mack, Jasmine A.
Sankar, Swaraaj Prabhu
Patil, Snehal
Valley, Thomas S.
Singh, Karandeep
Nallamothu, Brahmajee K.
Kheterpal, Sachin
Lisabeth, Lynda
Fritsche, Lars G.
Mukherjee, Bhramar
A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title_full A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title_fullStr A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title_full_unstemmed A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title_short A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
title_sort phenome-wide association study (phewas) of covid-19 outcomes by race using the electronic health records data in michigan medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418740/
https://www.ncbi.nlm.nih.gov/pubmed/32793923
http://dx.doi.org/10.1101/2020.06.29.20141564
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