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- Title
Coronary Computed Tomography Angiography-Adapted Leaman Score can Predict New-Onset Atrial Fibrillation in Patient with Low-to-Moderate Risk for Coronary Artery Disease.
- Authors
Topal, Salih; Candemir, Mustafa; Sezenöz, Burak; Ünlü, Serkan; Kızıltunç, Emrullah; Erbaş, Gonca; Kılıç, Hüseyin Koray; Abacı, Adnan
- Abstract
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 CTLeSc on prediction of new-onset AF (NOAF) occurence in patients with low-tointermediate 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-tointermediate risk patients undergoing CCTA for the assessment of stable CAD.
- Subjects
CORONARY artery disease; ATRIAL fibrillation; COMPUTED tomography; ATRIAL flutter; REGRESSION analysis
- Publication
Gazi Medical Journal, 2021, Vol 32, Issue 4, p571
- ISSN
1300-056X
- Publication type
Article
- DOI
10.12996/gmj.2021.127