Literature DB >> 25106783

Plasma galectin-3 and heart failure outcomes in MADIT-CRT (multicenter automatic defibrillator implantation trial with cardiac resynchronization therapy).

Craig M Stolen1, Aram Adourian2, Timothy E Meyer3, Kenneth M Stein3, Scott D Solomon4.   

Abstract

BACKGROUND: Elevated circulating levels of the protein galectin-3, a mediator of fibrogenesis, have previously been associated with adverse outcomes in heart failure (HF) patients and appear to modify response to certain pharmacologic therapies. This study investigated the relationship between galectin-3 level and clinical outcomes in HF patients randomized to implantable cardioverter defibrillator (ICD-only) or cardiac resynchronization therapy (CRT-D). METHODS AND
RESULTS: Plasma galectin-3 concentrations were measured in 654 New York Heart Association functional class I/II patients participating in the MADIT-CRT trial. A heterogeneity of response was detected between pre-implantation galectin-3 and randomization group (CRT-D or ICD-only) on the primary MADIT-CRT trial end point of nonfatal HF event or death (P = .045). Among patients with baseline galectin-3 levels in the top quartile of the distribution, CRT-D was associated with a 65% reduction in risk of the primary end point (hazard ratio [HR] 0.35, 95% confidence interval [CI] 0.19-0.67), whereas among patients with lower baseline galectin-3 values CRT-D was associated with a 25% decrease in risk (HR 0.75, 95% CI. 0.51-1.11). Baseline galectin-3 level also was observed to be an independent predictor of the primary end point (multivariable adjusted HR per log unit increase: 1.55; 95% CI 1.01-2.38; P = .043).
CONCLUSIONS: Elevated galectin-3 was found to be an independent predictor of adverse HF outcome in patients with mildly symptomatic HF. A significant interaction of device randomization group with pre-implantation galectin-3 level was detected, with HF patients with the highest baseline galectin-3 levels deriving a disproportionately larger benefit from CRT-D.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Prognosis; biomarkers; cardiac resynchronization therapy; patient selection

Mesh:

Substances:

Year:  2014        PMID: 25106783     DOI: 10.1016/j.cardfail.2014.07.018

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  13 in total

Review 1.  Biomarkers to Predict Reverse Remodeling and Myocardial Recovery in Heart Failure.

Authors:  Shweta R Motiwala; Hanna K Gaggin
Journal:  Curr Heart Fail Rep       Date:  2016-10

2.  Diagnostic value of novel biomarkers for heart failure : A meta-analysis.

Authors:  Z Huang; J Zhong; Y Ling; Y Zhang; W Lin; L Tang; J Liu; S Li
Journal:  Herz       Date:  2018-04-26       Impact factor: 1.443

3.  Galectin-3 as a marker for clinical prognosis and cardiac remodeling in acute heart failure.

Authors:  R I Lala; D Lungeanu; D Darabantiu; L Pilat; M Puschita
Journal:  Herz       Date:  2017-02-24       Impact factor: 1.443

4.  Novel Heart Failure Biomarkers Predict Improvement of Mitral Regurgitation in Patients Receiving Cardiac Resynchronization Therapy-The BIOCRT Study.

Authors:  Jonathan Beaudoin; Jagmeet P Singh; Jackie Szymonifka; Qing Zhou; Robert A Levine; James L Januzzi; Quynh A Truong
Journal:  Can J Cardiol       Date:  2016-06-02       Impact factor: 5.223

Review 5.  Cellular and Molecular Aspects of Dyssynchrony and Resynchronization.

Authors:  Jonathan A Kirk; David A Kass
Journal:  Card Electrophysiol Clin       Date:  2015-12

Review 6.  Emerging biomarkers in heart failure and cardiac cachexia.

Authors:  Goran Loncar; Daniel Omersa; Natasa Cvetinovic; Aleksandra Arandjelovic; Mitja Lainscak
Journal:  Int J Mol Sci       Date:  2014-12-22       Impact factor: 5.923

7.  Galectin-3 Is Elevated and Associated With Adverse Outcomes in Patients With Single-Ventricle Fontan Circulation.

Authors:  Alexander R Opotowsky; Fernando Baraona; Justin Owumi; Brittani Loukas; Michael N Singh; Anne Marie Valente; Fred Wu; Susan Cheng; Gruschen Veldtman; Eric B Rimm; Michael J Landzberg
Journal:  J Am Heart Assoc       Date:  2016-01-11       Impact factor: 5.501

8.  A Multiparametric Approach Based on NT-proBNP, ST2, and Galectin3 for Stratifying One Year Prognosis of Chronic Heart Failure Outpatients.

Authors:  Dario Grande; Marta Leone; Caterina Rizzo; Paola Terlizzese; Giuseppe Parisi; Margherita Ilaria Gioia; Tiziana Leopizzi; Antonio Segreto; Piero Guida; Roberta Romito; Marco Matteo Ciccone; Francesca Di Serio; Massimo Iacoviello
Journal:  J Cardiovasc Dev Dis       Date:  2017-07-15

Review 9.  Extracellular cardiac matrix biomarkers in patients with reduced ejection fraction heart failure as predictors of response to cardiac resynchronisation therapy: a systematic review.

Authors:  Christopher J McAloon; Danish Ali; Thomas Hamborg; Prithwish Banerjee; Paul O'Hare; Harpal Randeva; Faizel Osman
Journal:  Open Heart       Date:  2017-08-21

Review 10.  Galectin-3: One Molecule for an Alphabet of Diseases, from A to Z.

Authors:  Salvatore Sciacchitano; Luca Lavra; Alessandra Morgante; Alessandra Ulivieri; Fiorenza Magi; Gian Paolo De Francesco; Carlo Bellotti; Leila B Salehi; Alberto Ricci
Journal:  Int J Mol Sci       Date:  2018-01-26       Impact factor: 5.923

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