Bleeding Risk Prediction in Patients Treated with Antithrombotic Drugs According to the Anatomic Site of Bleeding, Indication for Treatment, and Time Since Treatment Initiation
Vinai Bhagirath,
Tanya Kovalova,
Jia Wang,
Lizhen Xu,
Shrikant I. Bangdiwala,
Martin O'Donnell,
Ashkan Shoamanesh,
Jackie Bosch,
Rosa Coppolecchia,
Tatsiana Vaitsiakhovich,
Frank Kleinjung,
Hardi Mundl,
John Eikelboom
Affiliations
Vinai Bhagirath
Population Health Research Institute, Hamilton, Ontario, Canada
Tanya Kovalova
Population Health Research Institute, Hamilton, Ontario, Canada
Jia Wang
Population Health Research Institute, Hamilton, Ontario, Canada
Lizhen Xu
Population Health Research Institute, Hamilton, Ontario, Canada
Shrikant I. Bangdiwala
Population Health Research Institute, Hamilton, Ontario, Canada
Martin O'Donnell
Population Health Research Institute, Hamilton, Ontario, Canada
Ashkan Shoamanesh
Population Health Research Institute, Hamilton, Ontario, Canada
Jackie Bosch
McMaster University, Hamilton, Ontario, Canada
Rosa Coppolecchia
Bayer US LLC, Whippany, New Jersey, United States
Tatsiana Vaitsiakhovich
Bayer AG, Berlin, Germany
Frank Kleinjung
Bayer AG, Berlin, Germany
Hardi Mundl
Bayer AG, Wuppertal, Germany
John Eikelboom
Population Health Research Institute, Hamilton, Ontario, Canada
Background Reasons for the relatively poor performance of bleeding prediction models are not well understood but may relate to differences in predictors for various anatomical sites of bleeding.
