Prediction of in-hospital death following aortic valve replacement: a new accurate model

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Prediction of in-hospital death following aortic valve replacement: a new accurate model.

OBJECTIVES Aortic valve replacement (AVR) is accepted as the standard treatment for severe symptomatic aortic valve stenosis and regurgitation. As novel treatments are introduced for patients at high risk for conventional surgery, it is important to have models that accurately predict procedural risk. The aim of this study was to develop and validate a risk-stratification model to predict in-ho...

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A multi-centre additive and logistic risk model for in-hospital mortality following aortic valve replacement.

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An Australian risk prediction model for determining early mortality following aortic valve replacement.

OBJECTIVE To develop a multivariable logistic risk model for predicting early mortality following aortic valve replacement (AVR) in adults, and to compare its performance against existing AVR-dedicated models. METHODS Prospectively collected data from the Australasian Society of Cardiac and Thoracic Surgeons (ASCTS) database project were used. Thirty-five preoperative variables from AVR liter...

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ژورنال

عنوان ژورنال: European Journal of Cardio-Thoracic Surgery

سال: 2012

ISSN: 1873-734X,1010-7940

DOI: 10.1093/ejcts/ezs457