- Naoum, Christopher;
- Berman, Daniel S;
- Ahmadi, Amir;
- Blanke, Philipp;
- Gransar, Heidi;
- Narula, Jagat;
- Shaw, Leslee J;
- Kritharides, Leonard;
- Achenbach, Stephan;
- Al-Mallah, Mouaz H;
- Andreini, Daniele;
- Budoff, Matthew J;
- Cademartiri, Filippo;
- Callister, Tracy Q;
- Chang, Hyuk-Jae;
- Chinnaiyan, Kavitha;
- Chow, Benjamin;
- Cury, Ricardo C;
- DeLago, Augustin;
- Dunning, Allison;
- Feuchtner, Gudrun;
- Hadamitzky, Martin;
- Hausleiter, Joerg;
- Kaufmann, Philipp A;
- Kim, Yong-Jin;
- Maffei, Erica;
- Marquez, Hugo;
- Pontone, Gianluca;
- Raff, Gilbert;
- Rubinshtein, Ronen;
- Villines, Todd C;
- Min, James;
- Leipsic, Jonathon
Age-adjusted coronary artery disease (CAD) burden identified on coronary computed tomography angiography predicts major adverse cardiovascular event (MACE) risk; however, it seldom contributes to clinical decision making because of a lack of nomographic data. We aimed to develop clinically pragmatic age- and sex-specific nomograms of CAD burden using coronary computed tomography angiography and to validate their prognostic use. Patients prospectively enrolled in phase I of the CONFIRM registry (Coronary CT Angiography Evaluation for Clinical Outcomes) were included (derivation cohort: n=21,132; 46% female) to develop CAD nomograms based on age-sex percentiles of segment involvement score (SIS) at each year of life (40-79 years). The relationship between SIS age-sex percentiles (SIS%) and MACE (all-cause death, myocardial infarction, unstable angina, and late revascularization) was tested in a nonoverlapping validation cohort (phase II, CONFIRM registry; n=3030, 44% female) by stratifying patients into 3 SIS% groups (≤50th, 51-75th, and >75th) and comparing annualized MACE rates and time to MACE using multivariable Cox proportional hazards models adjusting for Framingham risk and chest pain typicality. Age-sex percentiles were well fitted to second-order polynomial curves (men: R2=0.86±0.12; women: R2=0.86±0.14). Using the nomograms, there were 1576, 965, and 489 patients, respectively, in the ≤50th, 51-75th, and >75th SIS% groups. Annualized event rates were higher among patients with greater CAD burden (2.1% [95% confidence interval: 1.7%-2.7%], 3.9% [95% confidence interval: 3.0%-5.1%], and 7.2% [95% confidence interval: 5.4%-9.6%] in ≤50th, 51-75th, and >75th SIS% groups, respectively; P<0.001). Adjusted MACE risk was significantly increased among patients in SIS% groups above the median compared with patients below the median (hazard ratio [95% confidence interval]: 1.9 [1.3-2.8] for 51-75th SIS% group and 3.4 [2.3-5.0] for >75th SIS% group; P<0.01 for both). We have developed clinically pragmatic age- and sex-specific nomograms of CAD prevalence using coronary computed tomography angiography findings. Global plaque burden measured using SIS% is predictive of cardiac events independent of traditional risk assessment. URL: https://www.clinicaltrials.gov. Unique identifier: NCT01443637.