Researchers develop model to predict in-hospital death after TAVR procedures

A new risk prediction model for in-hospital death following transcatheter aortic valve replacement, a procedure that patients considered too high-risk or sick for open-heart surgery undergo, could help determine which patients are a good fit for the procedure, according to findings published in JAMA Cardiology.
 

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Using data from more than 13,000 patients who underwent TAVR between 2011 and 2014, researchers from the University of Florida College of Medicine Jacksonville engineered a model for TAVR that is comparable to those for surgical aortic valve replacement, a more invasive heart surgery.

The new model is being integrated into the Transcatheter Valve Therapy registry and should be a helpful tool for assessing whether the surgery is a good fit for certain patients and improving overall monitoring and quality for the procedure, according to the authors. 

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