Chronic Diseases Associated with Mortality in Adults with COVID-19 in the United States

Pre-existing chronic conditions in COVID-19 patients are risk factors for increasing odds of severe disease and death. In this paper, I aimed to determine the demographic and clinical factors, especially baseline chronic diseases, associated with the mortality in COVID-19 patients who are from 18 to 90 years old. A retrospective cohort study of adults with COVID-19 coded in electronic medical records included 99479 individuals (mean age 59.6 years, 57.99% women) between 20 January and 26 May 2020. I performed machine learning and deep learning to analyze the association between each chronic disease and all-cause mortality for a prediction model. Male sex, older age, being White, congestive heart failure and obstructive sleep apnea increased the risk of severity SARSCoV-2 infections in human. Identifying patient characteristics and comorbid conditions associated with COVID-19 patients in terms of severity and mortality is important for hypothesis developing a comprehensive intervention strategy to manage high-risk patients.

Academic advisor: Dr. Paul Griffin

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Work Title Chronic Diseases Associated with Mortality in Adults with COVID-19 in the United States
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Penn State
Creators
  1. Chufan Hong
Keyword
  1. Demographic
  2. Chronic diseases
  3. COVID-19-related death
  4. Machine learning
  5. Deep learning
  6. Outcome
License In Copyright (Rights Reserved)
Work Type Research Paper
Publication Date 2022
DOI doi:10.26207/hm5q-8r06
Deposited November 03, 2022

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