Microsimulation analysis compares health outcomes and costs of preventive strategies in patients with diabetes, indicating CACS could refine treatment decisions.
Coronary artery calcium scoring (CACS) by computed tomography could enhance risk assessment and decision making for preventive medication in patients with diabetes. We performed a microsimulation study to compare costs and health outcomes of guideline-based periodic cardiovascular risk assessment with and without CACS. We modeled various US guideline-based preventive approaches based on periodically assessed 10-year risk by pooled cohort equations with and without CACS. We predicted cumulative costs and quality-adjusted life years (QALYs) until age 100 years from the US health care sector perspective in MESA (Multi-Ethnic Study of Atherosclerosis) participants aged 45 to 84 years with diabetes (n=853), who were weighted to represent the US general patient population. Probabilistic and deterministic sensitivity analyses were performed to address uncertainty. Initiating high-intensity statins regardless of risk and low-dose aspirin if 10-year risk ≥10% led to the largest QALY gains with incremental cost-effectiveness ratios of $35 000 to $40 000/QALY. When omitting such universal approaches, allocating high-intensity statins and low-dose aspirin if CACS ≥100 led to incremental cost-effectiveness ratios around $50 000/QALY. Ranking of strategies by cost-effectiveness was generally robust against parameter uncertainty. The incremental cost-effectiveness ratio of the CACS ≥100 strategy fell below $50 000/QALY if the fee of CACS fell below $75 or when statin continuation was assumed to significantly improve with nonzero CAC scores. Broadening the use of high-intensity statins and low-dose aspirin in patients aged 45 to 84 years with diabetes can be considered cost-effective. If broad-scale use of intensive preventive treatment is either not feasible or not desired, then CACS may be cost-effective in refining preventive treatment decisions.
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Ferket et al. (2025) studied this question.
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