Key result
A diagnostic algorithm combining pretest probability and coronary artery calcium score reduced radiation by 17.0% and costs by 17.3% with a sensitivity of 98.0% and NPV of 99.5% for ischemia.
Why the study?
Most functional ischemia tests in suspected CCS are normal, but whether gatekeepers like PTP and CACS can safely reduce normal scans, radiation, and costs remains unclear.
Do diagnostic algorithms combining pretest probability and coronary artery calcium score reduce normal scan rates, radiation exposure, and costs compared to routine CACS+PET in patients with suspected chronic coronary syndrome?
Observational
Do diagnostic algorithms combining pretest probability and coronary artery calcium score reduce normal scan rates, radiation exposure, and costs compared to routine CACS+PET in patients with suspected chronic coronary syndrome?
A diagnostic algorithm combining pretest probability and coronary artery calcium score can safely reduce unnecessary PET scans, radiation exposure, and healthcare costs in patients with suspected chronic coronary syndrome.
Should not yet change practice in suspected CCS; leaves open need for randomized validation of PTP-CACS algorithms.
BACKGROUND: The majority of functional ischemia tests in patients with suspected chronic coronary syndromes (CCS) yield normal results. Implementing gatekeepers for patient preselection, such as pretest probability (PTP) and/or coronary artery calcium score (CACS), could reduce the number of normal scan results, radiation exposure and costs. However, the efficacy and safety of these approaches remain unclear. METHODS: Rb-PET): (1) defer testing if PTP ≤5%; (2) defer if PTP <15%; and (3) defer if PTP ≤5% or PTP 5-15% and CACS 0. The proportion of missed ischemia, number of scans and reduction of normal scan results, radiation exposure and costs were compared with the current gold standard (CACS+PET in every patient). Endpoints were defined as small ischemia (SDS ≥2) and relevant ischemia (≥10% of myocardium). RESULTS: The mean age of the patients was 65±11 years, and 43% were female. PTP ≤5% and <15% were present in 7.5% and 41.0%, respectively. Algorithm 1 reduced scans, radiation and costs by 7.5% without significantly missing ischemia (sensitivity/negative predictive value (NPV) 98.6%/99.7%). Algorithm 2 showed the largest reduction (41.0%), but sensitivity was significantly reduced (80.2%). Algorithm 3 demonstrated optimal performance, reducing radiation by 17.0% and costs by 17.3% without significantly missing ischemia suggesting excellent safety (sensitivity/NPV 98.0%/99.5%). CONCLUSION: Using a diagnostic algorithm combining PTP and CACS (algorithm 3), the number of normal scan results, radiation exposure and costs could be significantly reduced without a significant increase in missed diagnoses suggesting similar outcome and excellent patients safety. Consequently, this approach could help to optimally allocate limited healthcare resources while maintaining patient's safety.
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Frey et al. (2025) conducted an observational in Suspected chronic coronary syndrome. Diagnostic algorithm combining pretest probability and coronary artery calcium score vs. Current gold standard (CACS+PET in every patient) was evaluated on Small ischemia (SDS ≥2) and relevant ischemia (≥10% of myocardium). A diagnostic algorithm combining pretest probability and coronary artery calcium score reduced radiation by 17.0% and costs by 17.3% with a sensitivity of 98.0% and NPV of 99.5% for ischemia.
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