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Background: The CHA2Ds2-VASC was was revealed to be a predictor for thromboembolism event in patients who do not have atrial fibrillation or who have supra ventricular arrhythmia. The aim of this work was to evaluate the role of CHA2DS2 – VASC score in prediction of coronary artery disease. Methods: This cross sectional observational study included 150 patients underwent coronary angiography for diagnosis and treatment of CAD. There were 59 patients with ACS (including STEMI and Non-STEMI) and 91 patients with no ACS. All patients were subjected to complete history taking, clinical, general examination and local cardiac examination. Standard 12-lead ECG was obtained within 10 minutes of first medical contact (FMC) according to ESC guidelines. Baseline laboratory tests were done including serum creatinine, INR, hemoglobin, platelets, cholesterol and triglycerides. Arterial coronary angiography (Femoral approach), right and left coronary imaging and echocardiographs were performed. Results: The incidence of HTN, CHF, DM and Vascular disease was statistically significantly higher in the cases with ACS as compared with the cases with no ACS. The total mean Gensini score was significantly higher in the cases with ACS as compared with the cases with no ACS. There was a statistically significantly strong positive correlation between CHA2DS2‐VASc Score and Gensini score. The best cut-off point of CHA2DS2‐VASc Score to differentiate between cases with ACS and no ACS WAS > 2 with 79.7% sensitivity and 56% specificity. With univariate regression analysis, increasing age, CHF, DM, previous stroke, vascular disease and increasing CHADS-VASC score were reported as risk factors for vessel affection, however with multivariate regression analysis CHF, DM and increasing CHADS-VASC score were shown as independent risk factors of vessel affection Conclusions: CHA2DS2-VASc score could be utilized as a useful diagnostic and predictor tool in cases with CAD. Patients with higher CHA2DS2-VASc scores had higher risks of cardiovascular disease severity.