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      How Well Do Stroke Risk Scores Predict Hemorrhage in Patients With Atrial Fibrillation?

      , , , , ,
      The American Journal of Cardiology
      Elsevier BV

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          Abstract

          <p class="first" id="P1">The decision to use anticoagulants for atrial fibrillation depends on comparing a patient's estimated risk of stroke to their bleeding risk. Several of the risk factors in the stroke risk schemes such as overlap with hemorrhage risk. We compared how well two stroke risk scores (CHADS <sub>2</sub> and CHA <sub>2</sub>DS <sub>2</sub>-VASc) and two hemorrhage risk scores (the ATRIA bleeding score and the HAS-BLED score) predicted major hemorrhage on and off warfarin in a cohort of 13,559 community-dwelling adults with AF. Over a cumulative 64,741 person-years of follow up, we identified a total of 777 incident major hemorrhage events. The ATRIA bleeding score had the highest predictive ability out of all of the scores in patients on-warfarin (c-index of 0.74 [0.72-0.76] compared to 0.65 [0.62-0.67] for CHADS <sub>2</sub>, 0.65 [0.62-0.67] for CHA <sub>2</sub>DS <sub>2</sub>-VASc, and 0.64 [0.61-0.66] for HAS-BLED) as well as in patients off-warfarin (0.77 [0.74-0.79] compared to 0.67 [0.64-0.71] for CHADS <sub>2</sub>, 0.67 [0.64-0.70] for CHA <sub>2</sub>DS <sub>2</sub>-VASc, and 0.68 [0.65-0.71] for HAS-BLED). In conclusion, although CHADS <sub>2</sub> and CHA <sub>2</sub>DS <sub>2</sub>-VASc stroke scores were better at predicting hemorrhage than chance alone, they were inferior to the ATRIA bleeding score. Our study supports the use of dedicated hemorrhage risk stratification tools to predict major hemorrhage in atrial fibrillation. </p>

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          Author and article information

          Journal
          The American Journal of Cardiology
          The American Journal of Cardiology
          Elsevier BV
          00029149
          September 2016
          September 2016
          : 118
          : 5
          : 697-699
          Article
          10.1016/j.amjcard.2016.06.014
          5131634
          27394408
          8295f878-05d3-4ff0-9539-89fedf4e26e1
          © 2016

          http://www.elsevier.com/tdm/userlicense/1.0/

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