Is high high-density lipoprotein cholesterol beneficial for premature coronary heart disease? A meta-analysis

Murtuza Shahid1, Run L Sun1, Yu Liu2

  • 1Cardiovascular Medicine Department, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Insights

Low high-density lipoprotein cholesterol (HDL-C) levels are linked to premature coronary heart disease in individuals 55 years and younger. Further large-scale cohort studies are needed to confirm this association in younger populations.

Area of Science:

  • Cardiology
  • Biochemistry
  • Epidemiology

Background:

  • Premature coronary heart disease (CHD) affects individuals under 55.
  • High-density lipoprotein cholesterol (HDL-C) is a key lipid marker.
  • The association between low HDL-C and early-onset CHD requires further clarification.

Purpose of the Study:

  • To investigate the relationship between plasma HDL-C levels and premature CHD in patients aged 55 years or younger.
  • To synthesize existing evidence through a meta-analysis of case-control studies.

Main Methods:

  • Systematic literature searches were conducted in PubMed, Web of Science, Science Direct, and Google Scholar (2002-2013).
  • Included studies were case-control designs focusing on patients ≤55 years diagnosed with CHD and their HDL-C levels.
  • Meta-analysis used random-effects models, calculating standard mean differences with 95% confidence intervals; heterogeneity was assessed using meta-regression.

Main Results:

  • 13 case-control studies (1775 patients, 1989 controls) met the inclusion criteria.
  • A significant inverse association was found between HDL-C levels and premature CHD (SMD = -0.48, 95% CI = -0.71 to -0.26, p < 0.001).
  • Low HDL-C levels were consistently associated with premature CHD, even after accounting for heterogeneity.

Conclusions:

  • Low plasma HDL-C levels are significantly associated with premature coronary heart disease in individuals ≤55 years.
  • Existing evidence is primarily from small case-control studies.
  • Large-scale, population-based cohort studies are recommended to further investigate this association.
Abstract

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