Health diagnosis associated with COVID-19 death in the United States: A retrospective cohort study using electronic health records
Mariam Joseph, Qiwei Li, Sunyoung Shin

TL;DR
This study identifies demographic factors and health conditions linked to higher risk of death from COVID-19 in the U.S.
Contribution
The study highlights novel health diagnoses associated with increased risk of mortality from COVID-19.
Findings
Patients from the West region of the U.S. had the highest odds ratio for COVID-19 mortality.
Complications related to pregnancy showed the highest odds ratio for influencing COVID-19 death.
Conditions like renal failure, influenza and pneumonia, and diabetes were significantly associated with increased mortality risk.
Abstract
The United States has experienced high surge in COVID-19 cases since the dawn of 2020. Identifying the types of diagnoses that pose a risk in leading COVID-19 death casualties will enable our community to obtain a better perspective in identifying the most vulnerable populations and enable these populations to implement better precautionary measures. To identify demographic factors and health diagnosis codes that pose a high or a low risk to COVID-19 death from individual health record data sourced from the United States. We used logistic regression models to analyze the top 500 health diagnosis codes and demographics that have been identified as being associated with COVID-19 death. Among 223,286 patients tested positive at least once, 218,831 (98%) patients were alive and 4,455 (2%) patients died during the duration of the study period. Through our logistic regression analysis,…
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Taxonomy
TopicsCOVID-19 Clinical Research Studies · COVID-19 and healthcare impacts · COVID-19 and Mental Health
