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

Abstract

Data from the STS/ACC TVT Registry have been used to develop a predictive model of in-hospital mortality for patients undergoing TAVR. Validation based on a population of patient records not used in model development demonstrates discrimination and calibration indices that are more favorable than other models used in populations with TAVR. This model should be a valuable adjunct for patient counseling, local quality improvement, and national monitoring for appropriateness of selection of patients for TAVR.

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Affiliated Institutions

• University of Florida US
• University of Colorado Denver US
• Massachusetts General Hospital US
• Emory University US
• Mayo Clinic US
• Clinical Research Institute US
• University of California, San Francisco US
• Lee University US
• Florida College US
• University of Colorado Anschutz Medical Campus US
• Saint Luke's Health System US
• Baylor Scott & White Health US

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