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Galectin-3 Levels and Long-term All-cause Mortality and Hospitalization in Heart Failure Patients: a Meta-analysis

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Journal ESC Heart Fail
Date 2024 May 3
PMID 38698741
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Abstract

Aims: This meta-analysis investigated the dose-response relationship between circulating galectin-3 levels and adverse outcomes in patients with heart failure (HF).

Methods And Results: PubMed and Embase were screened for studies on galectin-3 and HF. The outcomes of interest were all-cause mortality (ACM), and all-cause mortality or HF-related rehospitalization (ACM/HFR), with a follow-up time of more than 6 months. For categorical variables, comparisons between groups with the highest and lowest galectin-3 levels were pooled. For continuous variables, the risks of ACM and ACM/HFR increase per 1-standard deviation (SD) and 1-unit after logarithmic transformation galectin-3 levels were pooled. A random-effects model was employed to calculate the pooled results, and all pooled results were expressed as hazard ratios (HRs) and 95% confidence intervals (CIs). Besides, a dose-response analysis was performed. Twenty-four cohort studies were included. In HF patients, higher circulating galectin-3 levels were significantly associated with a higher risk of long-term ACM (HR, 1.65; 95% CI 1.28-2.13; I = 66%), and 1 ng/mL increase in galectin-3 was associated with a 4% (HR, 1.04; 95% CI 1.02-1.06; P = 0.002) increase in hazard. Similarly, higher circulating galectin-3 levels were significantly associated with a higher risk of long-term ACM/HFR (HR, 1.52; 95% CI, 1.15 to 2.00; I = 76%), and 1 ng/mL increase in galectin-3 was associated with a 3% (HR, 1.03; 95% CI 1.02-1.04; P < 0.001) increase in hazard. An increase of 1-SD in galectin-3 units was associated with a 29% increased hazard of long-term ACM (HR 1.29; 95% CI 1.13-1.48; I = 42%) and a 22% increased hazard of ACM/HFR (HR 1.22; 95% CI 1.07-1.38; I = 60%). Similarly, an increase of 1-log in galectin-3 units was associated with a 98% higher hazard of long-term ACM (HR 1.98; 95% CI 1.48-2.65; I = 41%) and an 83% higher hazard of ACM/HFR in HF patients (HR 1.83; 95% CI 1.02-3.28; I = 7%). Correlation analysis showed a moderate positive correlation between baseline galectin-3 and N terminal pro brain natriuretic peptide levels (r = 0.48, P = 0.045) and a weak negative correlation with eGFR (r = -0.39, P = 0.077).

Conclusions: Higher circulating galectin-3 levels after hospitalization of HF patients are linearly and positively associated with the risk of long-term ACM and ACM/HFR.

Citing Articles

Understanding Galectin-3's Role in Diastolic Dysfunction: A Contemporary Perspective.

Hao W, Cheng C, Liu J, Chen H, Chen J, Cheng T Life (Basel). 2024; 14(7).

PMID: 39063659 PMC: 11277993. DOI: 10.3390/life14070906.


Galectin-3 levels and long-term all-cause mortality and hospitalization in heart failure patients: a meta-analysis.

Cheng W, Maciej R, Thiele H, Buttner P ESC Heart Fail. 2024; 11(5):2566-2577.

PMID: 38698741 PMC: 11424282. DOI: 10.1002/ehf2.14813.

References
1.
Ueland T, Aukrust P, Broch K, Aakhus S, Skardal R, Muntendam P . Galectin-3 in heart failure: high levels are associated with all-cause mortality. Int J Cardiol. 2011; 150(3):361-4. DOI: 10.1016/j.ijcard.2011.05.081. View

2.
Cheng W, Maciej R, Thiele H, Buttner P . Galectin-3 levels and long-term all-cause mortality and hospitalization in heart failure patients: a meta-analysis. ESC Heart Fail. 2024; 11(5):2566-2577. PMC: 11424282. DOI: 10.1002/ehf2.14813. View

3.
Meijers W, Januzzi J, deFilippi C, Adourian A, Shah S, Van Veldhuisen D . Elevated plasma galectin-3 is associated with near-term rehospitalization in heart failure: a pooled analysis of 3 clinical trials. Am Heart J. 2014; 167(6):853-60.e4. DOI: 10.1016/j.ahj.2014.02.011. View

4.
Imran T, Shin H, Mathenge N, Wang F, Kim B, Joseph J . 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. Am J Cardiol. 2017; 119(1):57-64. DOI: 10.1016/j.amjcard.2016.09.019. View

5.
Demissei B, Valente M, Cleland J, OConnor C, Metra M, Ponikowski P . Optimizing clinical use of biomarkers in high-risk acute heart failure patients. Eur J Heart Fail. 2015; 18(3):269-80. DOI: 10.1002/ejhf.443. View