Particle size and cholesterol content of circulating HDL correlate with cardiovascular death in chronic heart failure

Area of Science:

• Cardiology
• Biochemistry
• NMR Spectroscopy

Background:

• Cardiovascular (CV) death is a major concern in chronic heart failure (HF).
• The prognostic role of high-density lipoprotein particle (HDL-P) characteristics, including size (HDL-Sz) and cholesterol content, in HF patients remains unclear.
• Understanding these associations can improve risk assessment in HF.

Purpose of the Study:

• To investigate the prognostic value of HDL-particle size (HDL-Sz) and the HDL-cholesterol to HDL-particle ratio (HDL-C/P) for predicting CV death in patients with chronic HF.
• To determine if HDL-P characteristics are independent predictors of CV mortality in this population.

Main Methods:

• Outpatient chronic HF patients were enrolled.
• 1H-NMR spectroscopy was used to measure baseline HDL-P number, subfractions, and HDL-Sz.
• The HDL-C/P ratio was calculated, and CV death was the primary endpoint, with non-CV death as a competing event.

Main Results:

• A total of 422 patients were followed for a median of 4.1 years, with 120 (30.5%) experiencing CV death.
• Mean HDL-Sz was significantly higher in patients who died from CV causes compared to survivors (8.39 nm vs. 8.31 nm, p < 0.001).
• The HDL-C/P ratio was also higher in the CV-death group (51.0 vs. 48.3, p < 0.001).
• Both HDL-Sz and HDL-C/P ratio were identified as independent predictors of CV death after multivariable regression analysis (HR 1.22 [95% CI 1.01-1.47], p = 0.041 and HR 1.04 [95% CI 1.01-1.07], p = 0.008, respectively).

Conclusions:

• HDL-particle size (HDL-Sz) and the HDL-cholesterol to HDL-particle ratio (HDL-C/P) are independent predictors of CV death in patients with chronic heart failure.
• These HDL-P characteristics may serve as valuable biomarkers for risk stratification in chronic HF patients.
• Further research is warranted to explore the underlying mechanisms and clinical implications of these findings.