Integrating social determinants of health to enhance heart failure risk prediction

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Integrating social determinants of health to enhance heart failure risk prediction
HeartHeart FailureDiabetes
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A recent study by Case Western Reserve University used national data from U.S. military veterans with diabetes to validate and modify a widely accepted model used to predict the risk of heart failure in diabetic patients.

Apr 13 2024Case Western Reserve University A recent study by Case Western Reserve University used national data from U.S. military veterans with diabetes to validate and modify a widely accepted model used to predict the risk of heart failure in diabetic patients.

But because it overlooks the influence of social determinants of health‚ such as housing, food and a patient's neighborhood, the researchers used a social deprivation index , a multi-component summary score, to adjust the WATCH-DM score. The study identified about 1 million U.S. veterans with type 2 diabetes without heart failure treated as outpatients at Veterans Affairs medical sites nationally in 2010.

While the hospitalization rate for heart failure for the whole cohort of more than 1 million patients was 5.39%, this incidence varied from 3% to 11% .

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