Comparison of pooled cohort equation and PREVENT™ risk calculator for statin treatment allocation

Background and aims

Effective hypercholesterolemia management is linked to lower all-cause and cardiovascular mortality. The 2018 AHA/ACC guidelines recommended using the Pooled Cohort Equations (PCE) for lipid management, but these may overestimate risk and be less accurate for certain racial groups. The AHA's new PREVENT equation, which omits race and includes cardiometabolic factors, aims to provide a more accurate risk assessment for a diverse population. However, it has not yet been applied to a nationally representative US population, and implementation guidelines are still lacking. Our study aimed to evaluate potential changes in hypercholesterolemia management for primary prevention by using the PREVENT equation instead of the PCE.

Methods

Analyzing pre-pandemic NHANES 2017–2020 data, participants aged 40–75 without prior lipid-lowering treatment or other compelling indication were identified for elevated risk (≥7.5 %) using the PCE and PREVENT equations. We assessed risk shifts and indications for statin therapy, comparing the two risk equations. NHANES guidelines with weighting were followed to obtain US nationally representative estimates.

Results

Out of 77, 647, 807 (unweighted = 2494) participants, 81.0 % had no change in risk. The PCE flagged 18.8 % (n = 14,614,094) of participants at elevated risk not identified by PREVENT, while 0.20 % (n = 107,813) were flagged only by PREVENT. Participants identified solely by the PCE were older, with higher systolic blood pressure and increased estimated glomerular filtration rates.

Indications for statin therapy were largely unchanged (81.0 %). PREVENT newly identified (0.20 %) for moderate-intensity therapy and none for high-intensity therapy. Participants qualifying for moderate intensity therapy by the PCE were reclassified to no therapy in 74.59 % of cases, while 25.41 % remained unchanged. Participants qualifying for high-intensity therapy by the PCE were reclassified to moderate therapy in 93.97 % of cases, and 6.03 % were reclassified to no therapy.

Conclusions

The PREVENT equation notably differs in identifying hypercholesterolemia candidates compared to the PCE. Its adoption would influence cardiovascular risk reduction therapy recommendations, emphasizing the need for comprehensive studies to understand its long-term impact and reevaluate the threshold of treatment strategies for improved patient outcomes.