AIMS: We seek to assess the factors associated with the anticoagulation prescription in a cohort of patients with atrial fibrillation (AF) collected from out-patient clinics. METHODS: A total of 1524 patients with a history of AF were collected from out-patients clinics. CHADS(2), CHA(2)DS(2)-VASc and HAS-BLED scores were calculated in every patient. Variables associated with anticoagulant treatment prescription were analyzed in univariant and multivariant models. RESULTS: Most patients received either anticoagulant (62%) or antiplatelet treatment (37%). Anticoagulation rates increased among higher CHADS(2) and CHA(2)DS(2)-VASc score values. A logistic regression model was performed to assess the variables associated with the prescription of anticoagulant treatment; the variables with stronger association were the presence of arrhythmia at the current visit (odds ratio (OR) 33, 95% CI 27-40, p<0.001) and lack of concomitant antiplatelet treatment (OR 0.17, 95% CI 0.14-0.21, p<0.001). CONCLUSIONS: Although prognosis of patients with AF is mainly determined by the long-term thrombotic risk, the prescription of antithrombotic therapy depends more on the bleeding risk and the immediate thrombotic risk perception.
AIMS: We seek to assess the factors associated with the anticoagulation prescription in a cohort of patients with atrial fibrillation (AF) collected from out-patient clinics. METHODS: A total of 1524 patients with a history of AF were collected from out-patients clinics. CHADS(2), CHA(2)DS(2)-VASc and HAS-BLED scores were calculated in every patient. Variables associated with anticoagulant treatment prescription were analyzed in univariant and multivariant models. RESULTS: Most patients received either anticoagulant (62%) or antiplatelet treatment (37%). Anticoagulation rates increased among higher CHADS(2) and CHA(2)DS(2)-VASc score values. A logistic regression model was performed to assess the variables associated with the prescription of anticoagulant treatment; the variables with stronger association were the presence of arrhythmia at the current visit (odds ratio (OR) 33, 95% CI 27-40, p<0.001) and lack of concomitant antiplatelet treatment (OR 0.17, 95% CI 0.14-0.21, p<0.001). CONCLUSIONS: Although prognosis of patients with AF is mainly determined by the long-term thrombotic risk, the prescription of antithrombotic therapy depends more on the bleeding risk and the immediate thrombotic risk perception.