Development and Validation of the American Heart Association’s PREVENT Equations

🤖 Plain-English Summary

BACKGROUND: Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84–1.20] versus 1.39 [1.14–1.65]; P =0.01).

🔑 Key Findings

• However, current equations have several limitations.
• Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD.
• METHODS: The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017.

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