The performance of the CABS-model in patients who had redeemed anticoagulants within 60 days after a diagnosis of atrial fibrillation.

<p>A: Discrimination of the CABS model vs the HAS-BLED score, B: The calibration of the CABS model vs the HAS-BLED across bleeding risk by predicted risk increments. Along the x-axis is shown the distribution of predicted risks.</p> <p>(TIF)</p>

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Bibliographic Details
Main Author:	Anne Pernille Toft-Petersen (3716062) (author)
Other Authors:	Christina J.-Y. Lee (20209115) (author), Matthew Phelps (7247987) (author), Brice Ozenne (4050721) (author), Thomas Alexander Gerds (13486807) (author), Christian Torp-Pedersen (103282) (author)
Published:	2024
Subjects:	Medicine Cell Biology Genetics Neuroscience Biotechnology Evolutionary Biology Developmental Biology Marine Biology Cancer Mental Health Infectious Diseases Plant Biology Virology Computational Biology Mathematical Sciences not elsewhere classified typical male patient typical female patient linear age effects hitherto provided estimates allowing effect modification age significantly modified except allowing non individual absolute risks af taking anticoagulants af taking anticoagulant af redeeming anticoagulants predicted absolute risk years old without xlink "> anticoagulation atrial fibrillation treated anticoagulation </ p 646 vs 0 individual absolute risk cabs model superseded logistic regression model absolute bleeding risk year bleeding risk absolute risk years old xlink "> logistic regression atrial fibrillation year risk cabs model time non predictive model valvular af risk factors propose cabs major bleeding individual 1 strongest predictor roc curve nationwide register factors according calibrated well 406 suffered
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The performance of the CABS-model in patients who had redeemed anticoagulants within 60 days after a diagnosis of atrial fibrillation.

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