Coronary Computed Tomography Angiography-Adapted Leaman Score can Predict New-Onset Atrial Fibrillation in Patient with Low-to-Moderate Risk for Coronary Artery Disease

Objective: Atrial fibrillation (AF) and coronary artery disease (CAD) are interrelated clinical conditions which increase mortality and morbidity globally. Coronary computed tomography angiography adapted Leaman score (CT-LeSc) is an important tool for CAD detection. Herein we report clinical impact of CT-LeSc on prediction of new-onset AF (NOAF) occurence in patients with low-to-intermediate risk for CAD. Methods: We retrospectively analysed 1394 patients who underwent coronary computed tomography angiography (CCTA) for the detection of CAD. CT-LeSc was calculated for each patient. NOAF occurence following CCTA was obtained from medical records. Univariate and multivariate Cox regression analysis was used to determine the role of CT-LeSc in NOAF prediction. Results: The mean age of the patients was 52.7 +/- 11.8 and 676 patients (48.5%) were male. NOAF occured in 22 patients (1.57%) during a median follow up of 828 (525-1227) days. Multivariate Cox regression analysis revealed that CT-LeSc (OR = 1.131, 95% CI: 1.020-1.255; P = 0.002), was the strongest independent variable for the development of NOAF. Conclusion: CT-LeSc independently predicts development of NOAF in low-to-intermediate risk patients undergoing CCTA for the assessment of stable CAD.