Literature DB >> 28247849

Meta-Analysis of the Usefulness of Plasma Galectin-3 to Predict the Risk of Mortality in Patients With Heart Failure and in the General Population.

Tasnim F Imran1, Hyun Joon Shin2, Njambi Mathenge3, Frank Wang3, Bernard Kim3, Jacob Joseph2, J Michael Gaziano2, Luc Djoussé2.   

Abstract

Galectin-3 is an emerging biomarker of myocardial fibrosis, inflammation, and immune response. We sought to examine the relation of plasma galectin-3 with cardiovascular (CVD) mortality, all-cause mortality, and incident heart failure (HF). We performed a literature search for all relevant publications using Ovid MEDLINE, Google Scholar, and other databases up to January 2016. Two reviewers independently extracted data and assessed risk of bias. We extracted hazard ratios (HRs) from regression models that adjusted for age, gender, race, body mass index, smoking, hypertension, hyperlipidemia, diabetes, natriuretic peptides, and renal function, when available. A total of 18 studies with 32,350 participants (323,090 person-years of follow-up) met criteria for analysis. The mean age was 57.3 years and 47.2% of participants were women, with a follow-up duration median of 5 years, interquartile range: 2.9 to 10 years. Of the 18 studies, 13 (72%) adjusted for N-terminal probrain natriuretic peptide and renal function in the multivariable adjusted models. Using a random-effects meta-analysis, we found an HR of 1.10 (95% CI 1.05 to 1.14) for all-cause mortality, 1.22 (95% CI 1.05 to 1.39) for CVD mortality, and 1.12 (95% CI 1.04 to 1.21) for HF risk for each 1 SD increase in galectin-3 level. In a subgroup analysis of CVD mortality, the HR was 1.44 (1.09 to 1.79) for patients with HF and 1.09 (0.91 to 1.27) for the general population. In conclusion, our results suggest that elevated plasma galectin-3 is associated with a higher risk of all-cause mortality, CVD mortality, and HF. It may add prognostic value beyond that provided by traditional CVD risk factors.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28247849     DOI: 10.1016/j.amjcard.2016.09.019

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  31 in total

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