Prospective evaluation of a self-report-guided strategy for targeted coronary artery calcium imaging
Authors' conclusion
A self-report-guided strategy enabled targeted CAC imaging in a model-selected cohort. Among participants completing CT imaging, the observed prevalence of CAC ≥100 was comparable with the mean model-predicted probability. These findings suggest that self-report data may support preselection for CAC imaging and help identify opportunities for preventive treatment among individuals with elevated CAC.
Study context
- Population
- Individuals aged 59–60 years without previous ischaemic heart disease, selected by a self-report-based model for non-contrast coronary CT imagingunderwent CT imaging (CT completers) · invited individuals 8,000 · completed the questionnaire 2,588 (32%) · eligible respondents 2,375 · classified as high risk 814
- Participants
- 563 individuals
- Index test or model
- Model-predicted probabilities and the observed prevalence of coronary artery calcium (CAC) ≥100 among CT completers
- Target condition
- CAC ≥100
Performance
As reported in the abstract
Mean predicted probability of CAC ≥100
28.3%
95% CI 27.2 to 29.3
Observed prevalence of CAC ≥100
28.4%
95% CI 24.8 to 32.4
Expected/observed ratio
0.99
Brier score
0.19
Further findings
Preventive lipid-lowering therapy among participants with CAC ≥100
- Among participants with CAC ≥100, not receiving lipid-lowering therapy
- 64%
- Among participants with CAC ≥100, low-density lipoprotein cholesterol ≤1.8 mmol/L
- 11%
Original publication
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