June 14, 2026Open Access
Ver artículo completoComparison of Cardiovascular Disease Risk Estimates Using Enhanced PREVENT Equations
Resultado clave
Enhanced PREVENT equations including HbA1c and UACR yielded higher 10-year CVD risk estimates than base equations in adults with HbA1c ≥9.0% (17.8% vs 11.8%) and UACR ≥300 mg/g (36.1% vs 23.4%).
Puntos clave
- The study aims to compare cardiovascular disease risk estimates using enhanced PREVENT equations with and without optional predictors like hemoglobin A1c and urine albumin-creatinine ratio.
- Cross-sectional study involving 8,293 adults aged 30 to 79 from the National Health and Nutrition Examination Survey 2015-2020.
- Evaluated 10-year cardiovascular disease estimates using base and enhanced PREVENT equations.
- Examined the impact of diabetes status and additional predictors on CVD risk estimates.
- 99% of adults without diabetes and 82% of those with diabetes showed CVD risk estimates within 5 percentage points between the base and enhanced PREVENT equations.
- Individuals with hemoglobin A1c ≥9.0% had an enhanced mean risk of 17.8% compared to 11.8% with the base equations.
- For urine albumin-creatinine ratio ≥300 mg/g, enhanced mean risk was 36.1% compared to 23.4% with base equations.
Diseño del estudio
Tipo
Cross-Sectional (n=8,293)
PICO estructurado
Does the use of enhanced PREVENT equations including HbA1c and UACR improve 10-year CVD risk estimation compared to base PREVENT equations in adults?
P
Población
8,293 US adults aged 30 to 79 years from NHANES 2015-2020, including 13% with diabetes, assessed for 10-year cardiovascular disease risk.
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Exposición
Enhanced PREVENT equations including hemoglobin A1c (HbA1c) and urine albumin-creatinine ratio (UACR)
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Comparador
Base PREVENT equations
O
Resultado
10-year cardiovascular disease (CVD) risk estimates and risk reclassificationsurrogate
The inclusion of HbA1c and UACR in the PREVENT equations provides greater individualization of CVD risk estimation in adults with diabetes, but offers little benefit in populations without diabetes.
Resumen
OBJECTIVES: The 2023 Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) equations for 10-year cardiovascular disease (CVD) were developed by the American Heart Association to improve upon the 2013 Pooled Cohort Equations (PCEs). This study sought to compare risk reclassification using the PREVENT equations with and without the use of optional predictors of hemoglobin A1c (HbA1c) and urine albumin-creatinine ratio (UACR). RESEARCH DESIGN AND METHODS: This was a cross-sectional study of adults aged 30 to 79 years participating in the National Health and Nutrition Examination Survey 2015-2020. Ten-year CVD estimates stratified by diabetes status using the base PREVENT equations and the enhanced PREVENT equations including HbA1c and UACR were examined. RESULTS: The study included 8,293 participants (weighted mean age 51 years; 52% female; 13% with diabetes) representing 147.9 million US adults. Estimated 10-year CVD risks using the base and enhanced PREVENT equations were within 5 percentage points for 99% of adults without diabetes and 82% of adults with diabetes. Individuals with HbA1c ≥9.0% had a higher enhanced equations' mean risk of 17.8% (95% CI, 15.9%-19.7%) compared to the base equations' mean risk of 11.8% (95% CI, 10.7%-12.9%). This was mirrored with UACR, as individuals UACR ≥300 mg/g had a higher enhanced equations' mean risk at 36.1% (95% CI, 33.2%-39.1%) compared to the based equations' mean risk of 23.4% (95% CI, 20.0%-26.9%). CONCLUSIONS: Inclusion of HbA1c and UACR in the PREVENT equations provides opportunity for greater individualization of CVD risk estimation in adults with diabetes but little benefit in populations without diabetes.