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      Development and Validation of a Risk Prediction Model for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

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          Abstract

          Patient selection for transcatheter aortic valve replacement (TAVR) should include assessment of the risks of TAVR compared with surgical aortic valve replacement (SAVR). Existing SAVR risk models accurately predict the risks for the population undergoing SAVR, but comparable models to predict risk for patients undergoing TAVR are currently not available and should be derived from a population that underwent TAVR.

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          Author and article information

          Journal
          JAMA Cardiol
          JAMA cardiology
          American Medical Association (AMA)
          2380-6591
          Apr 01 2016
          : 1
          : 1
          Affiliations
          [1 ] Department of Surgery, University of Florida College of Medicine-Jacksonville.
          [2 ] Department of Medicine, St Luke's Mid America Heart Institute, Kansas City, Missouri.
          [3 ] Duke Clinical Research Institute, Durham, North Carolina.
          [4 ] Department of Cardiovascular Disease, Baylor Scott and White Health Care System, Plano, Texas.
          [5 ] Department of Surgery, Center for Quality and Safety, Massachusetts General Hospital, Boston.
          [6 ] Department of Surgery, University of Colorado School of Medicine, Aurora.
          [7 ] Department of Cardiovascular Medicine, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
          [8 ] Division of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, Georgia.
          [9 ] Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora.
          [10 ] Department of Medicine and the Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco.
          [11 ] Department of Medicine, Mayo Clinic, Rochester, Minnesota.
          Article
          2499814
          10.1001/jamacardio.2015.0326
          27437653
          72bd2a76-25b8-4fdc-a50d-50eea025a263
          History

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