MedStar Authors catalog › Details for: Development and Application of a Risk Prediction Model for In-Hospital Stroke After Transcatheter Aortic Valve Replacement - A Report from the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry.
Development and Application of a Risk Prediction Model for In-Hospital Stroke After Transcatheter Aortic Valve Replacement - A Report from the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry.
Citation: Annals of Thoracic Surgery. 2018 Dec 07.Journal: European journal of emergency medicine : official journal of the European Society for Emergency Medicine.Published: ; 2018ISSN: 0003-4975.Full author list: Thourani VH; O'Brien SM; Kelly JJ; Cohen DJ; Peterson ED; Mack MJ; Shahian DM; Grover FL; Carroll EJ; Brennan JM; Forcillo J; Arnold SV; Vemulapalli S; Fitzgerald S; Holmes DR; Bavaria JE; Edwards FH.UI/PMID: 30529671.Subject(s): IN PROCESS -- NOT YET INDEXEDInstitution(s): MedStar Heart & Vascular InstituteActivity type: Journal Article.Medline article type(s): Journal ArticleDigital Object Identifier: https://dx.doi.org/10.1016/j.athoracsur.2018.11.013 (Click here)Abbreviated citation: Ann Thorac Surg. 2018 Dec 07.Local Holdings: Available online from MWHC library: 1995 - present, Available in print through MWHC library:1999-2007.Abstract: BACKGROUND: Stroke is a serious complication following transcatheter aortic valve replacement (TAVR), yet predictive models are not available. A new risk model for in-hospital stroke following TAVR was developed and used to estimate site-specific performance.Abstract: METHODS: We included 97,600 TAVR procedures from 521 sites in the STS/ACC Transcatheter Valve Therapy (TVT) Registry from July 2014 through June 2017. Association between baseline covariates and in-hospital stroke was estimated by logistic regression. Discrimination was evaluated by C statistic. Calibration was tested internally via cross validation. Hierarchical modeling was used to estimate risk-adjusted site-specific performance.Abstract: RESULTS: Median age was 82 years, 44,926 (46.0%) were female, and 1,839 (1.9%) had in-hospital stroke. Covariates associated with stroke (odds ratio) included transapical access (1.44), access excluding transapical and transfemoral (1.77), prior stroke (1.57), prior TIA (1.50), pre-procedural shock, inotropes or mechanical assist device (1.48), smoking (1.28), porcelain aorta (1.23), peripheral arterial disease (1.21), age per 5 years (1.11), glomerular filtration rate per 5 ml/min (0.97), body surface area per m<sup>2</sup> (0.55 male; 0.43 female), and prior aortic valve (0.78) and non-aortic valvular (0.42) procedures. The C statistic was 0.622. Calibration curves demonstrated agreement between observed and expected stroke rates. Hierarchical modeling showed 10 centers (1.9%) with significantly higher odds ratios for in-hospital stroke than their peers.Abstract: CONCLUSIONS: A risk model for in-hospital stroke following TAVR was developed from the STS/ACC TVT Registry and used to estimate site-specific stroke performance. This model can serve as a valuable resource for quality improvement, clinical decision-making, and patient counseling.Abstract: Copyright (c) 2018. Published by Elsevier Inc.