Key result
Age ≥ 70 years was strongly associated with increased cardiovascular disease risk (AOR 3.963) compared to ages 18-34, and machine learning models predicted risk with up to 80.79% AUC.
Why the study?
To enhance understanding of the influence of type-2 diabetes and underlying determinants on cardiovascular disease risk, and construct precise predictive models in Bangladesh.
Population
Individuals with hypertension from the 2011 and 2017 to 2018 Bangladesh Demographic and Health Surveys
Comparison
Eight machine learning algorithms compared across 6 evaluation metrics
Design
Cross-sectional survey-based predictive modeling study
Authors
Loading...
May inform local CVD risk stratification in hypertensive Bangladeshi patients with diabetes; leaves open external validation in prospective cohorts.
Observational
Odds Ratio: 3.963
Machine learning models, particularly Random Forest, can accurately predict CVD risk in hypertensive individuals in Bangladesh, highlighting age, wealth, and BMI as key determinants.
Das et al. (2024) conducted an observational in Hypertension and cardiovascular disease risk. Age ≥ 70 years vs. Age 18 to 34 years was evaluated on Cardiovascular disease (CVD) risk (AOR 3.963). Age ≥ 70 years was strongly associated with increased cardiovascular disease risk (AOR 3.963) compared to ages 18-34, and machine learning models predicted risk with up to 80.79% AUC.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: