Key result
Self-report screening plus CAC scoring captures ~17% more CHD events than pooled cohort equations.
Why the study?
The best use of cardiac imaging to guide preventive CHD treatment is debated, and whether current guideline-recommended pooled cohort equations can be simplified using a self-report risk algorithm was unknown.
Does a self-report-based screening strategy combined with CAC scoring improve the identification of individuals at risk for CHD events compared to the standard pooled cohort equation in a primary prevention cohort?
Cohort (n=4,564)
Does a self-report-based screening strategy combined with CAC scoring improve the identification of individuals at risk for CHD events compared to the standard pooled cohort equation in a primary prevention cohort?
Absolute Event Rate: 56% vs 48%
p-value: p=0.02
A self-report screening strategy combined with CAC scoring captures significantly more future CHD events than the standard pooled cohort equation approach while requiring fewer healthcare visits.
Background The best use of cardiac imaging to guide preventive coronary heart disease (CHD) treatment is debated. Current guidelines recommend the pooled cohort equation, followed by computed tomography for coronary artery calcification (CAC) assessment. We evaluated if this approach could be simplified using a self‐report risk algorithm instead of the pooled cohort equation. Methods A gradient boosting machine model was trained on self‐reported factors to calculate the probability of a high CAC score (≥100). This model was part of a self‐report‐based CHD preventive strategy with 3 steps: (1) calculate the probability of having a high CAC; (2) perform computed tomography for high‐risk individuals; and (3) assign treatment eligibility with lipid‐lowering therapy if CAC score exceeds a designated threshold. This strategy was tested using data from the MESA (Multi‐Ethnic Study of Atherosclerosis) cohort (n=4564) and compared with guidelines recommending CAC scanning for intermediate‐risk individuals (pooled cohort equation, 7.5% to <20%) by evaluating CHD events over 10‐year follow‐up in the group defined as treatment eligible by either strategy. Results The pooled cohort equation identified 33% of the MESA population as eligible for a CAC scan and 19% as treatment eligible, capturing 48% of all CHD events (103 of 216). The self‐report strategy identified 56% of CHD events (120 of 216; P =0.02) with the same number of CAC scans and treatments but required health care visits for only 33% of the population. Conclusions A self‐report screening strategy, combined with CAC scoring, is more resource efficient and better discriminates high‐risk individuals suitable for lipid‐lowering therapy compared with current guidelines.
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Hagberg et al. (2025) conducted a cohort in Primary prevention of coronary heart disease (n=4,564). Self-report risk algorithm combined with CAC scoring vs. Pooled cohort equation followed by CAC scanning for intermediate-risk individuals was evaluated on Proportion of total CHD events captured among treatment-eligible individuals over 10-year follow-up (p=0.02). A self-report screening strategy combined with CAC scoring captured 56% of CHD events compared to 48% with the pooled cohort equation (P=0.02), requiring healthcare visits for only 33% of patients.
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