Authors: FARUK ERTAŞ, HASAN KAYA, ZUHAL ARITÜRK ATILGAN, MEHMET ALİ ELBEY, MESUT AYDİN, MEHMET ATA AKIL, MUSTAFA OYLUMLU, MEHMET SIDDIK ÜLGEN
Abstract: The aim of this study was to investigate the predictors of warfarin use in patients with non-valvular atrial fibrillation (AF). This study was the first to be conducted in a Turkish population. Materials and methods: Patients who presented to our outpatient clinic with the diagnosis of AF between September 2008 and October 2009 were enrolled. The patients were classified according to the CHADS2 risk scoring system recommended by the AHA/ACC/ESC guidelines for the classification of stroke risk in non-valvular AF patients. The probable variables influencing the use of warfarin were determined as age, sex, income level, healthcare coverage, lifestyle, place of residence, classification of AF, hypertension, diabetes mellitus, coronary artery disease, thyrotoxicosis, cardiac insufficiency, left ventricular dysfunction, stroke risk stratification, and history of stroke or systemic embolism (SE). Results: Among the 570 patients enrolled in the study, 144 were excluded because of insufficient patient information or refusal to participate, while 101 patients were excluded due to valvular AF. Thus, the evaluation was based on 325 patients (133 males and 192 females; mean age: 65 ± 10). According to the CHADS2 scoring, 62.2% of the patients were at high risk, 26.8% were at moderate risk, and 11.1% were at low risk. Only 19.7% of the patients were on warfarin treatment. In the logistic regression analysis, a history of stroke or SE, high income level, and the presence of persistent and permanent AF were found to be positive predictors of warfarin use, while advanced age was a negative predictor of warfarin use. Conclusion: This study demonstrated that a history of stroke or SE, high income level, presence of persistent and permanent AF, and advanced age are independent predictors of warfarin use in non-valvular AF patients.
Keywords: Atrial fibrillation, warfarin, CHADS2, stroke, predictor
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