Literature DB >> 27443429

Predicting Early and Late Mortality After Transcatheter Aortic Valve Replacement.

James B Hermiller1, Steven J Yakubov2, Michael J Reardon3, G Michael Deeb4, David H Adams5, Jonathan Afilalo6, Jian Huang7, Jeffrey J Popma8.   

Abstract

BACKGROUND: Few studies have examined the impact of novel indices of comorbidity, frailty, and disability on outcomes after transcatheter aortic valve replacement (TAVR).
OBJECTIVES: This study analyzed patients from the Medtronic CoreValve U.S. Pivotal Trial program to develop a simple scoring system that incorporates standard and novel predictor variables.
METHODS: A multidisciplinary heart team used objective criteria, such as The Society of Thoracic Surgeons Predicted Risk of Mortality (STS PROM), and subjective criteria to assess patients' eligibility for TAVR. The analysis included 3,687 patients randomly divided (2:1) into a derivation cohort (n = 2,482) and a validation cohort (n = 1,205). The study evaluated predictors of all-cause death, which were used to calculate a risk score for each patient.
RESULTS: The overall mortality rate was 5.8% at 30 days and 22.8% at 1 year. Home oxygen use, assisted living, albumin levels <3.3 g/dl, and age >85 years predicted death at 30 days. Home oxygen use, albumin levels <3.3 g/dl, falls in the past 6 months, STS PROM score >7%, and severe (≥5) Charlson comorbidity score predicted death at 1 year. A simple scoring system created on the basis of these multivariable predictors effectively stratified risk at 30 days and 1 year into low-risk, moderate-risk, and high-risk subsets. This score showed a 3-fold difference in mortality rates for the low-risk and high-risk subsets at 30 days (3.6% and 10.9%, respectively) and 1 year (12.3% and 36.6%, respectively). The 1-year mortality model was more stable than the 30-day model (C-statistics: 0.79 vs. 0.75).
CONCLUSIONS: A simple score dominated by novel predictors of outcome effectively stratified early and late mortality rates in extreme-risk and high-risk patients and may assist in selecting appropriate candidates for TAVR. (Safety and Efficacy Study of the Medtronic CoreValve System in the Treatment of Symptomatic Severe Aortic Stenosis in High Risk and Very High Risk Subjects Who Need Aortic Valve Replacement; NCT01240902).
Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  aortic stenosis; predictors of mortality; transcatheter aortic valve implantation

Mesh:

Year:  2016        PMID: 27443429     DOI: 10.1016/j.jacc.2016.04.057

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  35 in total

Review 1.  Pre-procedural risk models for patients undergoing transcatheter aortic valve implantation.

Authors:  Glen P Martin; Matthew Sperrin; Mamas A Mamas
Journal:  J Thorac Dis       Date:  2018-11       Impact factor: 2.895

2.  The impact of frailty on mortality after transcatheter aortic valve replacement.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Kianoush Kashani
Journal:  Ann Transl Med       Date:  2017-03

3.  Society of Thoracic Surgeons Score Variance Results in Risk Reclassification of Patients Undergoing Transcatheter Aortic Valve Replacement.

Authors:  Toby Rogers; Edward Koifman; Nirav Patel; Jiaxiang Gai; Rebecca Torguson; Paul Corso; Ron Waksman
Journal:  JAMA Cardiol       Date:  2017-04-01       Impact factor: 14.676

4.  Does Heart Valve Team Risk Assessment Predict Outcomes after Transcatheter Aortic Valve Replacement?

Authors:  Michael A Catalano; Bruce Rutkin; Nina Kohn; Alan Hartman; Pey-Jen Yu
Journal:  Int J Angiol       Date:  2019-12-09

5.  Structural, Nursing, and Physician Characteristics and 30-Day Mortality for Patients Undergoing Cardiac Surgery in Pennsylvania.

Authors:  Meghan B Lane-Fall; Tara S Ramaswamy; Sydney E S Brown; Xu He; Jacob T Gutsche; Lee A Fleisher; Mark D Neuman
Journal:  Crit Care Med       Date:  2017-09       Impact factor: 7.598

6.  Insights on mid-term TAVR performance: 3-year clinical and echocardiographic results from the CoreValve ADVANCE study.

Authors:  Sabine Bleiziffer; Johan Bosmans; Stephen Brecker; Ulrich Gerckens; Peter Wenaweser; Corrado Tamburino; Axel Linke
Journal:  Clin Res Cardiol       Date:  2017-05-08       Impact factor: 5.460

7.  Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Dagmar F Hernandez-Suarez; Yeunjung Kim; Pedro Villablanca; Tanush Gupta; Jose Wiley; Brenda G Nieves-Rodriguez; Jovaniel Rodriguez-Maldonado; Roberto Feliu Maldonado; Istoni da Luz Sant'Ana; Cristina Sanina; Pedro Cox-Alomar; Harish Ramakrishna; Angel Lopez-Candales; William W O'Neill; Duane S Pinto; Azeem Latib; Abiel Roche-Lima
Journal:  JACC Cardiovasc Interv       Date:  2019-07-22       Impact factor: 11.195

8.  Association of Structural and Functional Cardiac Changes With Transcatheter Aortic Valve Replacement Outcomes in Patients With Aortic Stenosis.

Authors:  Miho Fukui; Aman Gupta; Islam Abdelkarim; Michael S Sharbaugh; Andrew D Althouse; Hesham Elzomor; Suresh Mulukutla; Joon S Lee; John T Schindler; Thomas G Gleason; João L Cavalcante
Journal:  JAMA Cardiol       Date:  2019-03-01       Impact factor: 14.676

Review 9.  Diabetes mellitus is associated with increased acute kidney injury and 1-year mortality after transcatheter aortic valve replacement: A meta-analysis.

Authors:  George S Mina; Priyanka Gill; Demiana Soliman; Pratap Reddy; Paari Dominic
Journal:  Clin Cardiol       Date:  2017-05-16       Impact factor: 2.882

10.  Impact of a Claims-Based Frailty Indicator on the Prediction of Long-Term Mortality After Transcatheter Aortic Valve Replacement in Medicare Beneficiaries.

Authors:  Harun Kundi; Linda R Valsdottir; Jeffrey J Popma; David J Cohen; Jordan B Strom; Duane S Pinto; Changyu Shen; Robert W Yeh
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-10
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