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COVID-19 Mortality in the Colorado Center for Personalized Medicine Biobank.
Brice, Amanda N; Vanderlinden, Lauren A; Marker, Katie M; Mayer, David; Lin, Meng; Rafaels, Nicholas; Shortt, Jonathan A; Romero, Alex; Lowery, Jan T; Gignoux, Christopher R; Johnson, Randi K.
  • Brice AN; Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA.
  • Vanderlinden LA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA.
  • Marker KM; Human Medical Genetics and Genomics Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
  • Mayer D; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
  • Lin M; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
  • Rafaels N; Colorado Center for Personalized Medicine, Aurora, CO 80045, USA.
  • Shortt JA; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
  • Romero A; Colorado Center for Personalized Medicine, Aurora, CO 80045, USA.
  • Lowery JT; Colorado Center for Personalized Medicine, Aurora, CO 80045, USA.
  • Gignoux CR; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
  • Johnson RK; Colorado Center for Personalized Medicine, Aurora, CO 80045, USA.
Int J Environ Res Public Health ; 20(3)2023 01 29.
Article in English | MEDLINE | ID: covidwho-2292592
ABSTRACT
Over 6.37 million people have died from COVID-19 worldwide, but factors influencing COVID-19-related mortality remain understudied. We aimed to describe and identify risk factors for COVID-19 mortality in the Colorado Center for Personalized Medicine (CCPM) Biobank using integrated data sources, including Electronic Health Records (EHRs). We calculated cause-specific mortality and case-fatality rates for COVID-19 and common pre-existing health conditions defined by diagnostic phecodes and encounters in EHRs. We performed multivariable logistic regression analyses of the association between each pre-existing condition and COVID-19 mortality. Of the 155,859 Biobank participants enrolled as of July 2022, 20,797 had been diagnosed with COVID-19. Of 5334 Biobank participants who had died, 190 were attributed to COVID-19. The case-fatality rate was 0.91% and the COVID-19 mortality rate was 122 per 100,000 persons. The odds of dying from COVID-19 were significantly increased among older men, and those with 14 of the 61 pre-existing conditions tested, including hypertensive chronic kidney disease (OR 10.14, 95% CI 5.48, 19.16) and type 2 diabetes with renal manifestations (OR 5.59, 95% CI 3.42, 8.97). Male patients who are older and have pre-existing kidney diseases may be at higher risk for death from COVID-19 and may require special care.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans / Male Country/Region as subject: North America Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20032368

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans / Male Country/Region as subject: North America Language: English Year: 2023 Document Type: Article Affiliation country: Ijerph20032368