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Updated: Apr 4, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases
G Michael Allan1, Faeze Nouri2, Christina Korownyk3
1Evidence-Based Medicine, Department of Family Medicine-Research Program, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada. michael.allan@ualberta.ca.
Background:
Risk estimates for the same patient can vary substantially among cardiovascular risk calculators and the reasons are not fully explained. We compared the relative risk increases for consistent risk factors changes across different cardiovascular risk calculators.
Methods:
Five clinicians independently selected 16 calculators providing absolute risk estimations. Hypothetical patients were generated using a combination of seven risk factors [age, gender, smoking, blood pressure, high-density lipoprotein (HDL), total cholesterol and diabetes] dichotomized to high and low risk, generating 2(7) patients (128 total). Relative risk increases due to specific risk factors were determined and compared.
Results:
The 16 selected calculators were from six countries, used 5- and 10-year predictions, and estimated CVD or coronary heart disease risk. Across the different calculators for non-diabetic patients, changing age from 50 to 70 produced average relative risk increases from 82 to 395%, gender (female to male) 35-225%, smoking status 31-118%, systolic blood pressure (120-160 mmHg) 16-124%, total cholesterol (4-7 mmol/L) 51-302% and HDL (1.3-0.8 mmol/L) 27-133%. Similar results were found among diabetic patients. Some calculators appeared to have consistently higher relative risk increases over multiple risk factors.
Conclusions:
Cardiovascular risk calculators weigh the same risk factors differently. For each risk factor, the relative risk increase from the calculator with the highest increase was generally three to eight times greater than the relative risk increase from the calculator with lowest increase. This likely contributes to some of the inconsistency in risk calculator estimation. It also limits the use of risk calculators in estimating the benefits of therapy.
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