Cargando…
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
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 betwe...
Autores principales: | 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 |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037108/ https://www.ncbi.nlm.nih.gov/pubmed/33805886 http://dx.doi.org/10.3390/jcm10071351 |
Ejemplares similares
-
A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine
por: Salvatore, Maxwell, et al.
Publicado: (2021) -
COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan Medicine
por: Gu, Tian, et al.
Publicado: (2020) -
Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
por: Gu, Tian, et al.
Publicado: (2020) -
A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns
por: Haupert, Spencer R., et al.
Publicado: (2022) -
Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View
por: Pendergrass, Sarah A, et al.
Publicado: (2012)