Purpose: The coronary artery calcium (CAC) score is used in decision-making for preventive medications in patients with borderline clinical risk scores. Both absolute and percentile CAC scores can be used; however, a percentile CAC score is especially useful in young patients and women. The aim of this study is to present CAC score percentiles across age categories in women and men using a large database.

Methods: Bilkent City Hospital database was screened for patients who underwent CAC score measurements between January 2021 and March 2022. Of the 4,487 patients, 546 were excluded due to 1) a history of coronary stent implantation or bypass surgery or 2) missing information regarding a history of revascularization or calcium scores. Therefore, the final study population included 3,941 participants. The percentiles for age categories within each sex were tabulated, and percentile plots were created for each sex using locally weighted scatterplot smoothing regression.

Results: The proportion of men included in the study was higher compared with that of women (57.09% vs. 42.91%). The mean age was 52.20 ± 11.11 years, and it was higher in women than in men (54.07 ± 10.47 vs. 50.80 ± 11.37, respectively; < 0.001). A zero CAC score was observed in 2,381 (60.42%) patients; the percentage was higher in women than in men (68.60% vs. 54.27%; < 0.001). When the cut-off value for the high-risk category was taken as the 75 percentile, a non-zero CAC score directly assigned a patient into the high-risk category in women aged <55 years and men aged <45 years. Percentile plots were also provided for each sex.

Conclusion: In this large-scale study, including patients referred for CAC scoring and/or coronary computed tomography angiography, CAC score percentiles were provided for women and men across the selected age categories which may be in therapeutic decision-making. As an approximate rule of thumb, a non-zero CAC score corresponds to the high-risk category in women aged <55 years and in men aged <45 years.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10773180PMC
http://dx.doi.org/10.4274/dir.2023.232196DOI Listing

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