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- W2886302299 abstract "Background: Interventions for patients with valvular heart disease (VHD) now include both surgical and percutaneous procedures. As a result, treatments are being offered to increasingly complex patients with a significant burden of non-cardiac comorbid conditions. There is a major gap in our understanding of how various comorbidities relate to prognosis following interventions for VHD. Here we describe how comorbidities are handled in clinical predictive models for patients undergoing interventions for VHD. Methods: We queried the Tufts Predictive Analytics and Comparative Effectiveness (PACE) Clinical Prediction Model (CPM) Registry to identify de novo CPMs for patients undergoing VHD interventions. We systematically extracted information on the non-cardiac comorbidities contained in the CPMs and also measures of model performance. Results: From January 1990- May 2012 there were 12 CPMs predicting measures of morbidity or mortality for patients undergoing interventions for VHD. There were 2 CPMs predicti..." @default.
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- W2886302299 date "2016-03-01" @default.
- W2886302299 modified "2023-09-26" @default.
- W2886302299 title "Abstract 223: Non-Cardiac Comorbidities in Predictive Models for Valvular Heart Disease Interventions" @default.
- W2886302299 hasPublicationYear "2016" @default.
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