AIMS: This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). METHODS AND RESULTS: We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan-Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P<0.001). Serum Gal3 levels above median (13.8 ng/ml) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07-1.91 P=0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P<0.001) and the integrated discrimination index was 0.022, (P=0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P=0.001). CONCLUSIONS: Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.
AIMS: This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). METHODS AND RESULTS: We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan-Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P<0.001). Serum Gal3 levels above median (13.8 ng/ml) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07-1.91 P=0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P<0.001) and the integrated discrimination index was 0.022, (P=0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P=0.001). CONCLUSIONS: Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.
Authors: Benjamin French; Le Wang; Bonnie Ky; Jeffrey Brandimarto; Anupam Basuray; James C Fang; Nancy K Sweitzer; Thomas P Cappola Journal: J Card Fail Date: 2015-11-10 Impact factor: 5.712
Authors: Aaron J Cohen; Kanako Teramoto; Brian Claggett; Leo Buckley; Scott Solomon; Christie Ballantyne; Elizabeth Selvin; Amil M Shah Journal: J Card Fail Date: 2021-07-25 Impact factor: 5.712
Authors: François Koukoui; Franck Desmoulin; Michel Galinier; Manon Barutaut; Celine Caubère; Maria Francesca Evaristi; Gurbuz Murat; Rudolf De Boer; Matthieu Berry; Fatima Smih; Philippe Rouet Journal: PLoS One Date: 2015-03-18 Impact factor: 3.240