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.

ESC Heart Failure
|May 24, 2025
PubMed

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.
Abstract

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