Literature DB >> 23395934

Prognostic value of changes in galectin-3 levels over time in patients with heart failure: data from CORONA and COACH.

A Rogier van der Velde1, Lars Gullestad, Thor Ueland, Pål Aukrust, Yu Guo, Aram Adourian, Pieter Muntendam, Dirk J van Veldhuisen, Rudolf A de Boer.   

Abstract

BACKGROUND: In several cross-sectional analyses, circulating baseline levels of galectin-3, a protein involved in myocardial fibrosis and remodeling, have been associated with increased risk for morbidity and mortality in patients with heart failure (HF). The importance and clinical use of repeated measurements of galectin-3 have not yet been reported. METHODS AND
RESULTS: Plasma galectin-3 was measured at baseline and at 3 months in patients enrolled in the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA) trial (n=1329), and at baseline and at 6 months in patients enrolled in the Coordinating Study Evaluating Outcomes of Advising and Counseling Failure (COACH) trial (n=324). Patient results were analyzed by categorical and percentage changes in galectin-3 level. A threshold value of 17.8 ng/mL or 15% change from baseline was used to categorize patients. Increasing galectin-3 levels over time, from a low to high galectin-3 category, were associated with significantly more HF hospitalization and mortality compared with stable or decreasing galectin-3 levels (hazard ratio in CORONA, 1.60; 95% confidence interval, 1.13-2.25; P=0.007; hazard ratio in COACH, 2.38; 95% confidence interval, 1.02-5.55; P=0.046). In addition, patients whose galectin-3 increased by >15% between measurements had a 50% higher relative hazard of adverse event than those whose galectin-3 stayed within ±15% of the baseline value, independent of age, sex, diabetes mellitus, left ventricular ejection fraction, renal function, medication (β-blocker, angiotensin converting enzyme inhibitor, and angiotensin receptor blocker), and N-terminal probrain natriuretic peptide (hazard ratio in CORONA, 1.50; 95% confidence interval, 1.17-1.92; P=0.001). The impact of changing galectin-3 levels on other secondary end points was comparable.
CONCLUSIONS: In 2 large cohorts of patients with chronic and acute decompensated HF, repeated measurements of galectin-3 level provided important and significant prognostic value in identifying patients with HF at elevated risk for subsequent HF morbidity and mortality.

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Year:  2013        PMID: 23395934     DOI: 10.1161/CIRCHEARTFAILURE.112.000129

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  72 in total

1.  Longitudinal Change in Galectin-3 and Incident Cardiovascular Outcomes.

Authors:  Anahita Ghorbani; Vijeta Bhambhani; Robert H Christenson; Wouter C Meijers; Rudolf A de Boer; Daniel Levy; Martin G Larson; Jennifer E Ho
Journal:  J Am Coll Cardiol       Date:  2018-12-25       Impact factor: 24.094

Review 2.  Biomarkers for risk prediction in acute decompensated heart failure.

Authors:  A Rogier van der Velde; Wouter C Meijers; Rudolf A de Boer
Journal:  Curr Heart Fail Rep       Date:  2014-09

3.  Galectin-3 is independently associated with cardiovascular mortality in community-dwelling older adults without known cardiovascular disease: The Rancho Bernardo Study.

Authors:  Lori B Daniels; Paul Clopton; Gail A Laughlin; Alan S Maisel; Elizabeth Barrett-Connor
Journal:  Am Heart J       Date:  2014-02-18       Impact factor: 4.749

Review 4.  Review of the prognostic value of galectin-3 in heart failure focusing on clinical utility of repeated testing.

Authors:  Francisco Javier Carrasco-Sánchez; María Inmaculada Páez-Rubio
Journal:  Mol Diagn Ther       Date:  2014-12       Impact factor: 4.074

Review 5.  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

6.  Diagnostic value of strain echocardiography, galectin-3, and tenascin-C levels for the identification of patients with pulmonary and cardiac sarcoidosis.

Authors:  Seref Kul; Hatice Kutbay Ozcelik; Huseyin Uyarel; Gultekin Karakus; Tolga Sinan Guvenc; Murat Yalcınsoy; Emin Asoglu; Ahu Sarbay Kemik; Abdurrahman Tasal; Sinem Gungor; Ercan Karaarslan; Levent Kart; Omer Goktekin
Journal:  Lung       Date:  2014-04-29       Impact factor: 2.584

Review 7.  Role of Inflammation in Heart Failure.

Authors:  Lily F Shirazi; Joe Bissett; Francesco Romeo; Jawahar L Mehta
Journal:  Curr Atheroscler Rep       Date:  2017-06       Impact factor: 5.113

8.  Macrophage inflammatory markers are associated with subclinical carotid artery disease in women with human immunodeficiency virus or hepatitis C virus infection.

Authors:  Iftach Shaked; David B Hanna; Christian Gleißner; Brenda Marsh; Jill Plants; Daniel Tracy; Kathryn Anastos; Mardge Cohen; Elizabeth T Golub; Roksana Karim; Jason Lazar; Vinayaka Prasad; Phyllis C Tien; Mary A Young; Alan L Landay; Robert C Kaplan; Klaus Ley
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-03-20       Impact factor: 8.311

Review 9.  New Targets in the Drug Treatment of Heart Failure.

Authors:  James A Iwaz; Elizabeth Lee; Hermineh Aramin; Danilo Romero; Navaid Iqbal; Matt Kawahara; Fatima Khusro; Brian Knight; Minal V Patel; Sumita Sharma; Alan S Maisel
Journal:  Drugs       Date:  2016-02       Impact factor: 9.546

Review 10.  Biomarkers of diastolic dysfunction and myocardial fibrosis: application to heart failure with a preserved ejection fraction.

Authors:  Michael R Zile; Catalin F Baicu
Journal:  J Cardiovasc Transl Res       Date:  2013-05-29       Impact factor: 4.132

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