Association of the Neutrophil to High-Density Lipoprotein Cholesterol Ratio and Platelet to High-Density Lipoprotein

Ruoling Teng1, Huajie Han1, Yi Ding1

  • 1Department of Geriatrics, The First People's Hospital of Changzhou, Changzhou, Jiangsu, 213000, People's Republic of China.

Insights

Neutrophil to high-density lipoprotein cholesterol ratio (NHR) and platelet to high-density lipoprotein cholesterol ratio (PHR) are linked to early vascular aging (EVA). These inflammatory indices show potential for risk stratification, especially in men and smokers.

Area of Science:

  • Cardiovascular Research
  • Biomarkers
  • Vascular Health

Background:

  • Early vascular aging (EVA) is a critical indicator of cardiovascular risk.
  • Inflammatory markers derived from complete blood count and lipid profiles may predict EVA.
  • Identifying novel biomarkers for EVA is crucial for cardiovascular disease prevention.

Purpose of the Study:

  • To investigate the association between complete blood count parameters and lipid metabolism-related inflammatory indices with EVA.
  • To assess the independent associations of neutrophil to high-density lipoprotein cholesterol ratio (NHR) and platelet to high-density lipoprotein cholesterol ratio (PHR) with EVA.
  • To explore the dose-response relationships and potential effect modifications of these indices on EVA.

Main Methods:

  • Cross-sectional study of 1114 participants.
  • Logistic regression analysis to determine independent associations of NHR and PHR with EVA.
  • Restricted cubic spline models for nonlinear relationship assessment and subgroup analyses for effect modification.

Main Results:

  • NHR and PHR were independently associated with increased odds of EVA.
  • Associations were essentially linear, with no significant nonlinear relationships detected.
  • NHR's association with EVA was stronger in men and smokers, indicating population heterogeneity.

Conclusions:

  • NHR and PHR are independently associated with EVA in a cross-sectional population.
  • These indices offer a modest net benefit for EVA risk stratification, though clinical utility is currently limited.
  • Further prospective, multi-center studies are warranted to validate these findings and explore causal inference.
Abstract