Mortality in trials on transcatheter aortic valve implantation versus surgical aortic valve replacement: a pooled meta-analysis of Kaplan-Meier-derived individual patient data.


Journal

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
ISSN: 1873-734X
Titre abrégé: Eur J Cardiothorac Surg
Pays: Germany
ID NLM: 8804069

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 19 12 2019
revised: 12 02 2020
accepted: 16 02 2020
pubmed: 3 4 2020
medline: 22 6 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

This meta-analysis of Kaplan-Meier-estimated individual patient data was designed to evaluate the effects of transcatheter aortic valve implantation (TAVI) and surgical aortic valve replacement (SAVR) on the long-term all-cause mortality rate, to examine the potential time-varying effect and to model their hazard ratios (HRs) over time. Moreover, we sought to compare traditional meta-analytic tools and estimated individual patient data meta-analyses. Trials comparing TAVI versus SAVR were identified through Medline, Embase, Cochrane databases and specialist websites. The primary outcome was death from any cause at follow-up. Enhanced secondary analyses of survival curves were performed estimating individual patient time-to-event data from published Kaplan-Meier curves. Treatments were compared with the random effect Cox model in a landmark framework and fully parametric models. We identified 6 eligible trials that included 6367 participants, randomly assigned to undergo TAVI (3252) or SAVR (3115). According to the landmark analysis, the incidence of death in the first year after implantation was significantly lower in the TAVI group [risk-profile stratified HR 0.85, 95% confidence interval (CI) 0.73-0.99; P = 0.04], whereas there was a reversal of the HR after 40 months (risk-profile stratified HR 1.31, 95% CI 1.01-1.68; P = 0.04) favouring SAVR over TAVI. This time-varying trend of HRs was also confirmed by a fully parametric time-to-event model. Traditional meta-analytic tools were shown to be biased because they did not intercept heterogeneity and the time-varying effect. The mortality rates in trials of TAVI versus SAVR are affected by treatments with a time-varying effect. TAVI is related to better survival in the first months after implantation whereas, after 40 months, it is a risk factor for all-cause mortality.

Identifiants

pubmed: 32236543
pii: 5814871
doi: 10.1093/ejcts/ezaa087
doi:

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

221-229

Commentaires et corrections

Type : ErratumIn
Type : CommentIn
Type : CommentIn

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Auteurs

Fabio Barili (F)

Department of Cardiac Surgery, S. Croce Hospital, Cuneo, Italy.

Nicholas Freemantle (N)

Department of Primary Care and Population Health, University College London, London, UK.

Alberto Pilozzi Casado (A)

Department of Cardiac Surgery, S. Croce Hospital, Cuneo, Italy.

Mauro Rinaldi (M)

Department of Cardiac Surgery, AOU "Città della Salute e della Scienza di Torino", University of Turin, Turin, Italy.

Thierry Folliguet (T)

Department of Cardiac Surgery, Hôpital Henri Mondor, Paris, France.

Francesco Musumeci (F)

Department of Heart and Vessels, Cardiac Surgery Unit and Heart Transplantation Center, S. Camillo-Forlanini Hospital, Rome, Italy.

Gino Gerosa (G)

Department of Cardiac Surgery, University of Padua, Padua, Italy.

Alessandro Parolari (A)

Unit of Cardiac Surgery and Translational Research, IRCCS Policlinico S. Donato, University of Milan, Milan, Italy.

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Classifications MeSH