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Updated: Sep 20, 2025

Author Spotlight: Exploring the Relationship Between Lipotoxicity and HFpEF
Published on: March 29, 2024
Prognostic value of lipid parameters among patients with heart failure: A systematic review and meta-analysis
Ahmed Sayed1, Hesham Afify2, Malak Munir1
1Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Insights
Higher lipid levels, including total cholesterol and LDL cholesterol, are linked to lower mortality in heart failure (HF) patients. These lipid parameters may aid in predicting outcomes for individuals with HF.
Area of Science:
- Cardiology
- Biochemistry
- Epidemiology
Background:
- Heart failure (HF) is a complex clinical syndrome with significant mortality.
- The prognostic role of lipid parameters in HF patients remains incompletely understood.
- Accurate prognostication is crucial for guiding clinical management and therapeutic strategies in HF.
Purpose of the Study:
- To systematically evaluate the prognostic significance of key lipid parameters in patients diagnosed with heart failure.
- To assess the association between total cholesterol (TC), HDL-C, LDL-C, and triglycerides with mortality risk in HF.
Main Methods:
- A comprehensive literature search was conducted across major electronic databases (MEDLINE, Embase, CENTRAL, Web of Science).
- Fifty-two studies involving 93,286 patients were included to analyze the association between lipid levels and HF mortality.
- Random-effects models and the QUIPS tool were employed for statistical analysis and risk of bias assessment.
Main Results:
- Univariable analysis revealed that higher levels of TC, HDL-C, LDL-C, and triglycerides were associated with decreased mortality in HF patients.
- Multivariable analysis confirmed that lower levels of TC and LDL-C were independently associated with reduced mortality.
- Hazard ratios indicated a protective effect of higher lipid levels against mortality across various parameters.
Conclusions:
- Elevated levels of lipid parameters are associated with lower mortality in the heart failure population.
- Lipid profiles may serve as valuable adjuncts for improving prognostication in predictive models for HF patients.
- The observational nature of the included studies precludes definitive conclusions regarding causality.
Aims:
We sought to evaluate the prognostic value of different lipid parameters in patients with heart failure (HF).
Methods And Results:
Electronic databases including MEDLINE, Embase, CENTRAL, and Web of Science were searched to identify studies that reported the association of any of the four lipid parameters [total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides] with mortality among patients with HF. A random-effects model was used to estimate the association per 10 mg/dL increment. The QUIPS tool was used to assess the risk of bias. Fifty-two studies enrolling 93 286 patients were included. On univariable analysis, higher levels of the four lipid parameters were associated with lower mortality: TC [hazard ratio/odds ratio (HR/OR): 0.94; 95% confidence interval (CI): 0.93 to 0.96], HDL-C (HR/OR: 0.89; 95% CI: 0.80 to 0.99), LDL-C (HR/OR: 0.93; 95% CI: 0.90 to 0.97) and triglycerides (HR/OR: 0.95; 95% CI: 0.92 to 0.99). On multivariable analysis, lower levels of TC (HR/OR: 0.95; 95% CI: 0.93 to 0.97) and LDL-C (HR/OR: 0.94; 95% CI: 0.89 to 0.99) were associated with lower mortality.
Conclusions:
Higher levels of lipids parameters were associated with lower mortality in patients with HF. Lipid parameters may improve prognostication in predictive models for patients with HF. Because of the observational nature of included studies, no claims about the causal effect of changing lipid parameters can be made.
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