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The German Aortic Valve Score II

The German Aortic Valve Score II AbstractOBJECTIVESThe German Aortic Valve Score (GAVS) was developed for national quality assurance regarding the in-hospital mortality rate of patients following isolated aortic valve replacement. The goal of this work was the recalibration of the GAVS in the context of increased numbers of transcatheter aortic valve implantations.METHODSIn 2011 and 2012, 36 183 cases were documented who had either surgical aortic valve replacement or transcatheter aortic valve implantation (45%). All cases were randomly assigned to the study or to the validation group. All items of the data set were checked for significance by developing a multiregression risk model using iterative backward elimination. Calibration was ascertained using the Hosmer–Lemeshow method. To define the quality of discrimination, the area under the receiver operating characteristic curve (C-statistic) was calculated.RESULTSThe randomized study cohort comprised 18 054 patients. After modelling with multiple regression algorithms, 18 of the initial 28 risk factors entered the risk model. When applied to the validation group, the newly developed GAVS II showed good calibration with a P-value of 0.411 in the Hosmer–Lemeshow test and good discrimination with a C-statistic of 0.741.CONCLUSIONSThe GAVS II is a new risk model that is applicable to cohorts having surgical aortic valve replacement or transcatheter aortic valve implantation procedures. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Cardio-Thoracic Surgery Oxford University Press

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References (17)

Publisher
Oxford University Press
Copyright
© The Author 2017. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.
ISSN
1010-7940
eISSN
1873-734X
DOI
10.1093/ejcts/ezx282
pmid
28950361
Publisher site
See Article on Publisher Site

Abstract

AbstractOBJECTIVESThe German Aortic Valve Score (GAVS) was developed for national quality assurance regarding the in-hospital mortality rate of patients following isolated aortic valve replacement. The goal of this work was the recalibration of the GAVS in the context of increased numbers of transcatheter aortic valve implantations.METHODSIn 2011 and 2012, 36 183 cases were documented who had either surgical aortic valve replacement or transcatheter aortic valve implantation (45%). All cases were randomly assigned to the study or to the validation group. All items of the data set were checked for significance by developing a multiregression risk model using iterative backward elimination. Calibration was ascertained using the Hosmer–Lemeshow method. To define the quality of discrimination, the area under the receiver operating characteristic curve (C-statistic) was calculated.RESULTSThe randomized study cohort comprised 18 054 patients. After modelling with multiple regression algorithms, 18 of the initial 28 risk factors entered the risk model. When applied to the validation group, the newly developed GAVS II showed good calibration with a P-value of 0.411 in the Hosmer–Lemeshow test and good discrimination with a C-statistic of 0.741.CONCLUSIONSThe GAVS II is a new risk model that is applicable to cohorts having surgical aortic valve replacement or transcatheter aortic valve implantation procedures.

Journal

European Journal of Cardio-Thoracic SurgeryOxford University Press

Published: Nov 1, 2017

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