Prevention & lipids

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

CirculationPublished Risk prediction model development and validation study

An erratum to this article was published (Circulation, 12 Mar 2024 ↗)

Authors' conclusion

PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.

Study context

Population
US adults 30 to 79 years of age without known cardiovascular disease (CVD)25 derivation + 21 validation data sets
Participants
6,612,004 adults
Comparison
Female vs Male
Outcome
CVD (atherosclerotic CVD and HF)
Methodological detailsindividual-level participant data, meta-analyzed, external validation, sex-specific, race-free, adjusted for competing risk of non-CVD death, Derivation: 25 data sets (N=3 281 919), 1992–2017, Mean±SD follow-up 4.8±3.1 years; 211 515 incident total CVD events
  • Individual-level participant data
  • Meta-analyzed
  • External validation
  • Sex-specific
  • Race-free
  • Adjusted for competing risk of non-CVD death
  • Derivation: 25 data sets (N=3 281 919), 1992–2017
  • Mean±SD follow-up 4.8±3.1 years; 211 515 incident total CVD events

Performance

As reported in the abstract

C-statistic for CVD, external validation
Test or modelValueCalibration slope
Femalemedian 0.794 (interquartile interval 0.763–0.809)1.03 (interquartile interval, 0.81-1.16)
Malemedian 0.757 (interquartile interval 0.727–0.778)0.94 (0.81-1.13)

Value

Femalemedian 0.794 (interquartile interval 0.763–0.809)
Malemedian 0.757 (interquartile interval 0.727–0.778)

Calibration slope

Female1.03 (interquartile interval, 0.81-1.16)
Male0.94 (0.81-1.13)

Further findings

OutcomeFemaleMaleCalibration slopeP value
ΔC-statistic, adding UACR, HbA1c and social deprivation index to base model (total CVD)Small but statistically significant improvement0.004 (interquartile interval 0.004–0.005)0.005 (interquartile interval 0.004–0.007)
Calibration slope with vs without UACR, marked albuminuria (>300 mg/g)Interquartile intervals1.05 [0.84-1.20] versus 1.39 [1.14-1.65]P = 0.01

Atherosclerotic CVD- and HF-specific models

Similar estimates for discrimination and calibration

Original publication

Development and Validation of the American Heart Association’s PREVENT Equations. Circulation. Published 10 November 2023. doi:10.1161/circulationaha.123.067626

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