Predictive Model for High-Risk Coronary Artery Disease

Abstract

Background: Patients with high-risk coronary artery disease (CAD) may be difficult to identify.

Methods: Using the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) cohort randomized to coronary computed tomographic angiography (n=4589), 2 predictive models were developed for high-risk CAD, defined as left main stenosis (≥50% stenosis) or either (1) ≥50% stenosis [50] or (2) ≥70% stenosis [70] of 3 vessels or 2-vessel CAD involving the proximal left anterior descending artery. Pretest predictors were examined using stepwise logistic regression and assessed for discrimination and calibration.

Results: High-risk CAD was identified in 6.6% [50] and 2.4% [70] of patients. Models developed to predict high-risk CAD discriminated well: [50], bias-corrected C statistic=0.73 (95% CI, 0.71-0.76); [70], bias-corrected C statistic=0.73 (95% CI, 0.68-0.77). Variables predictive of CAD in both models included family history of premature CAD, age, male sex, lower glomerular filtration rate, diabetes mellitus, elevated systolic blood pressure, and angina. Additionally, smoking history was predictive of [50] CAD and sedentary lifestyle of [70] CAD. Both models characterized high-risk CAD better than the Pooled Cohort Equation (area under the curve=0.70 and 0.71 for [50] and [70], respectively) and Diamond-Forrester risk scores (area under the curve=0.68 and 0.71, respectively). Both [50] and [70] CAD was associated with more frequent invasive interventions and adverse events than non-high-risk CAD (all P<0.0001).

Conclusions: In contemporary practice, 2.4% to 6.6% of stable, symptomatic patients requiring noninvasive testing have high-risk CAD. A simple combination of pretest clinical variables improves prediction of high-risk CAD over traditional risk assessments.

Clinical trial registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01174550.

Keywords: angiography; coronary artery disease; risk assessment.

Figures

Figure 1:

High-risk CAD model derivation. Of the 10,003 patients randomized in PROMISE, 4,589 patients who received CTA as an initial non-invasive test were used to derive our models. Two models for high-risk CAD were designed and defined as LM coronary artery stenosis (≥50% stenosis) or either (a) [50] (≥50% stenosis) or (b) [70] (≥70% stenosis) of 3VD or 2VD involving the pLAD. CTA indicates computed tomographic angiography; CAD, coronary artery disease; LM, left main; 3VD, three-vessel disease; 2VD w/ pLAD, two-vessel disease with proximal left anterior descending artery.

Figure 2:

Final calibration of the likelihood of high-risk patients. Actual observed proportion of high-risk CAD (LM ≥50% stenosis + (a) [50] ≥50% stenosis 3VD or 2VD involving the pLAD or (b) [70] ≥70% stenosis 3VD or 2VD involving the pLAD) compared to the mean predicted proportion of high risk. Using the decile plots and the Hosmer-Lemeshow goodness-of-fit test, both the [50] and [70] models demonstrated excellent calibration (p=0.298 and p=0.349, respectively). CAD indicates coronary artery disease; LM, left main; 3VD, three-vessel disease; 2VD w/ pLAD, two-vessel disease with proximal left anterior descending artery.