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Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction
Francisco Javier Carrasco-Sánchez1, Oscar Aramburu-Bodas, Prado Salamanca-Bautista
1Department of Internal Medicine, Hospital Juan Ramón Jiménez, Huelva, Spain.
Insights
Galectin-3 (Gal3) predicts poor outcomes in heart failure (HF) patients with preserved ejection fraction. Adding Gal3 to risk models improves outcome prediction for HF patients.
Area of Science:
- Cardiology
- Biomarkers
- Heart Failure Research
Background:
- Heart failure with preserved ejection fraction (HFpEF) presents a significant clinical challenge.
- Identifying reliable prognostic markers for HFpEF is crucial for patient management.
Purpose of the Study:
- To evaluate the predictive value of galectin-3 (Gal3) for adverse outcomes in patients with HFpEF.
- To assess the incremental value of Gal3 in risk stratification models for HFpEF.
Main Methods:
- Prospective study of 419 HFpEF patients.
- Measurement of serum Gal3, creatinine, urea, and natriuretic peptides on admission.
- One-year follow-up for all-cause mortality and/or hospital readmission.
- Multivariable Cox proportional hazards models and reclassification analyses were performed.
Main Results:
- Serum Gal3 levels were significantly associated with increased risk of mortality and readmission in HFpEF patients.
- Elevated Gal3 (above median 13.8 ng/ml) independently predicted adverse events (HR 1.43, P=0.015) after multivariable adjustment.
- Addition of Gal3 significantly improved risk reclassification (reclassification index 9.5%, P<0.001) and model discrimination (c-statistic increased from 0.711 to 0.731).
Conclusions:
- Serum Gal3 is a potent and independent predictor of poor prognosis in patients with HFpEF.
- Incorporating Gal3 into clinical prediction models enhances the accuracy of risk assessment for HFpEF patients.
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.
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