Literature DB >> 34620389

Applicability of Transcatheter Aortic Valve Replacement Trials to Real-World Clinical Practice: Findings From EXTEND-CoreValve.

Neel M Butala1, Eric Secemsky2, Dhruv S Kazi2, Yang Song3, Jordan B Strom2, Kamil F Faridi4, J Matthew Brennan5, Sammy Elmariah6, Changyu Shen2, Robert W Yeh7.   

Abstract

OBJECTIVES: The aim of this study was to examine the applicability of pivotal transcatheter aortic valve replacement (TAVR) trials to the real-world population of Medicare patients undergoing TAVR.
BACKGROUND: It is unclear whether randomized controlled trial results of novel cardiovascular devices apply to patients encountered in clinical practice.
METHODS: Characteristics of patients enrolled in the U.S. CoreValve pivotal trials were compared with those of the population of Medicare beneficiaries who underwent TAVR in U.S. clinical practice between November 2, 2011, and December 31, 2017. Inverse probability weighting was used to reweight the trial cohort on the basis of Medicare patient characteristics, and a "real-world" treatment effect was estimated.
RESULTS: A total of 2,026 patients underwent TAVR in the U.S. CoreValve pivotal trials, and 135,112 patients underwent TAVR in the Medicare cohort. Trial patients were mostly similar to real-world patients at baseline, though trial patients were more likely to have hypertension (50% vs 39%) and coagulopathy (25% vs 17%), whereas real-world patients were more likely to have congestive heart failure (75% vs 68%) and frailty. The estimated real-world treatment effect of TAVR was an 11.4% absolute reduction in death or stroke (95% CI: 7.50%-14.92%) and an 8.7% absolute reduction in death (95% CI: 5.20%-12.32%) at 1 year with TAVR compared with conventional therapy (surgical aortic valve replacement for intermediate- and high-risk patients and medical therapy for extreme-risk patients).
CONCLUSIONS: The trial and real-world populations were mostly similar, with some notable differences. Nevertheless, the extrapolated real-world treatment effect was at least as high as the observed trial treatment effect, suggesting that the absolute benefit of TAVR in clinical trials is similar to the benefit of TAVR in the U.S. real-world setting.
Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  TAVR; generalizability; real world

Mesh:

Year:  2021        PMID: 34620389      PMCID: PMC8855223          DOI: 10.1016/j.jcin.2021.08.006

Source DB:  PubMed          Journal:  JACC Cardiovasc Interv        ISSN: 1936-8798            Impact factor:   11.075


  35 in total

1.  Explanatory and pragmatic attitudes in therapeutical trials.

Authors:  Daniel Schwartz; Joseph Lellouch
Journal:  J Clin Epidemiol       Date:  2009-05       Impact factor: 6.437

2.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

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.  Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals.

Authors:  Issa J Dahabreh; Sarah E Robertson; Eric J Tchetgen; Elizabeth A Stuart; Miguel A Hernán
Journal:  Biometrics       Date:  2019-06-21       Impact factor: 2.571

5.  Comparison of Clinical Trials and Administrative Claims to Identify Stroke Among Patients Undergoing Aortic Valve Replacement: Findings From the EXTEND Study.

Authors:  Jordan B Strom; Yuansong Zhao; Kamil F Faridi; Hector Tamez; Neel M Butala; Linda R Valsdottir; Jeptha Curtis; J Matthew Brennan; Changyu Shen; Mike Boulware; Jeffrey J Popma; Robert W Yeh
Journal:  Circ Cardiovasc Interv       Date:  2019-11-07       Impact factor: 6.546

6.  Racial Disparities in the Utilization and Outcomes of TAVR: TVT Registry Report.

Authors:  Mohamad Alkhouli; David R Holmes; John D Carroll; Zhuokai Li; Taku Inohara; Andrzej S Kosinski; Molly Szerlip; Vinod H Thourani; Michael J Mack; Sreekanth Vemulapalli
Journal:  JACC Cardiovasc Interv       Date:  2019-05-27       Impact factor: 11.195

7.  Transcatheter aortic valve replacement using a self-expanding bioprosthesis in patients with severe aortic stenosis at extreme risk for surgery.

Authors:  Jeffrey J Popma; David H Adams; Michael J Reardon; Steven J Yakubov; Neal S Kleiman; David Heimansohn; James Hermiller; G Chad Hughes; J Kevin Harrison; Joseph Coselli; Jose Diez; Ali Kafi; Theodore Schreiber; Thomas G Gleason; John Conte; Maurice Buchbinder; G Michael Deeb; Blasé Carabello; Patrick W Serruys; Sharla Chenoweth; Jae K Oh
Journal:  J Am Coll Cardiol       Date:  2014-03-19       Impact factor: 24.094

8.  GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

Authors:  Anando Sen; Shreya Chakrabarti; Andrew Goldstein; Shuang Wang; Patrick B Ryan; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-09-04       Impact factor: 6.317

9.  Validating the use of registries and claims data to support randomized trials: Rationale and design of the Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data (EXTEND) Study.

Authors:  Jordan B Strom; Hector Tamez; Yuansong Zhao; Linda R Valsdottir; Jeptha Curtis; J Matthew Brennan; Changyu Shen; Jeffrey J Popma; Laura Mauri; Robert W Yeh
Journal:  Am Heart J       Date:  2019-03-06       Impact factor: 4.749

10.  Generalizing the per-protocol treatment effect: The case of ACTG A5095.

Authors:  Haidong Lu; Stephen R Cole; H Irene Hall; Enrique F Schisterman; Tiffany L Breger; Jessie K Edwards; Daniel Westreich
Journal:  Clin Trials       Date:  2018-10-17       Impact factor: 2.486

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