Relations of lipid concentrations to heart failure incidence: the Framingham Heart Study

Raghava S Velagaleti1, Joseph Massaro, Ramachandran S Vasan

  • 1Framingham Heart Study, Center for Population Studies, National Heart, Lung, and Blood Institute, 73 Mt Wayte Avenue, Framingham, MA 01702, USA.

Circulation
|November 26, 2009
PubMed

Insights

High non-high-density lipoprotein cholesterol (HDL-C) and low HDL-C increase heart failure (HF) risk independently of myocardial infarction. Lipid modification may reduce HF incidence.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Lipid Metabolism

Background:

  • The relationship between lipid levels and heart failure (HF) risk requires comprehensive elucidation.
  • Understanding these associations is crucial for developing effective prevention strategies.

Purpose of the Study:

  • To investigate the independent associations of high-density lipoprotein cholesterol (HDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) with heart failure (HF) incidence.
  • To evaluate the population-attributable risk of dyslipidemia for HF.

Main Methods:

  • Analysis of 6860 participants from the Framingham Heart Study, free of coronary heart disease at baseline.
  • Long-term follow-up to assess HF incidence, with lipid concentrations updated periodically.
  • Multivariable regression models were used to adjust for clinical covariates and myocardial infarction.

Main Results:

  • Higher non-HDL-C and lower HDL-C levels were significantly associated with increased HF risk, independent of myocardial infarction.
  • A 1-SD increase in non-HDL-C raised HF hazard by 19-23%, while a 1-SD decrease in HDL-C raised HF hazard by 18-23%.
  • High non-HDL-C and low HDL-C accounted for 7.5% and 15% of HF cases in the population, respectively.

Conclusions:

  • Dyslipidemia contributes to HF risk independently of myocardial infarction.
  • Targeting lipid modification could be a viable strategy for reducing heart failure incidence.
Abstract

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