TY  - BOOK
AU  - Thourani, Vinod H
TI  - Inclusion of Functional Status Measures in the Risk Adjustment of 30-Day Mortality After Transcatheter Aortic Valve Replacement: A Report From the Society of Thoracic Surgeons/American College of Cardiology TVT Registry
SN  - 1936-8798
PY  - 2018///
KW  - *Decision Support Techniques
KW  - *Health Status
KW  - *Health Status Indicators
KW  - *Heart Valve Diseases/su [Surgery]
KW  - *Transcatheter Aortic Valve Replacement/mo [Mortality]
KW  - Aged
KW  - Aged, 80 and over
KW  - Cardiomyopathies/di [Diagnosis]
KW  - Cardiomyopathies/mo [Mortality]
KW  - Clinical Decision-Making
KW  - Female
KW  - Frailty/di [Diagnosis]
KW  - Frailty/mo [Mortality]
KW  - Heart Valve Diseases/di [Diagnosis]
KW  - Heart Valve Diseases/mo [Mortality]
KW  - Hospital Mortality
KW  - Humans
KW  - Male
KW  - Physical Fitness
KW  - Predictive Value of Tests
KW  - Registries
KW  - Reproducibility of Results
KW  - Risk Assessment
KW  - Risk Factors
KW  - Societies, Medical
KW  - Surveys and Questionnaires
KW  - Time Factors
KW  - Transcatheter Aortic Valve Replacement/ae [Adverse Effects]
KW  - Treatment Outcome
KW  - United States/ep [Epidemiology]
KW  - Walk Test
KW  - Walking Speed
KW  - MedStar Heart & Vascular Institute
KW  - Journal Article
N1  - Available online through MWHC library: 2008 - present
N2  - BACKGROUND: Assessment of risk for TAVR is important both for patient selection and provider comparisons. Prior efforts for risk adjustment have focused on in-hospital mortality, which is easily obtainable but can be biased because of early discharge of ill patients; CONCLUSIONS: A clinical risk model was developed for 30-day death after TAVR that included clinical data as well as health status and frailty. This model will facilitate tracking outcomes over time as TAVR expands to lower risk patients and to less experienced sites and will allow an objective comparison of short-term mortality rates across centers; Copyright (c) 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved; METHODS: Using data from patients who underwent TAVR as part of the Society of Thoracic Surgeons/American College of Cardiology TVT (Transcatheter Valve Therapy) Registry (June 2013 to May 2016), a hierarchical logistic regression model to estimate risk for 30-day mortality after TAVR based only on pre-procedural factors and access site was developed and internally validated. The model included factors from the original TVT Registry in-hospital mortality model but added the Kansas City Cardiomyopathy Questionnaire (health status) and gait speed (5-m walk test); OBJECTIVES: The aim of this study was to develop and validate a risk adjustment model for 30-day mortality after transcatheter aortic valve replacement (TAVR) that accounted for both standard clinical factors and pre-procedural health status and frailty; RESULTS: Among 21,661 TAVR patients at 188 sites, 1,025 (4.7%) died within 30 days. Independent predictors of 30-day death included older age, low body weight, worse renal function, peripheral artery disease, home oxygen, prior myocardial infarction, left main coronary artery disease, tricuspid regurgitation, nonfemoral access, worse baseline health status, and inability to walk. The predicted 30-day mortality risk ranged from 1.1% (lowest decile of risk) to 13.8% (highest decile of risk). The model was able to stratify risk on the basis of patient factors with good discrimination (C = 0.71 [derivation], C = 0.70 [split-sample validation]) and excellent calibration, both overall and in key patient subgroups
UR  - https://dx.doi.org/10.1016/j.jcin.2018.01.242
ER  -