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Area of Science:

  • Cardiology
  • Vascular Biology
  • Biomarkers

Background:

  • Cardiovascular disease (CVD) risk is multifactorial, involving lipid profiles and vascular hemodynamics.
  • Pulse wave analysis (PWA) offers insights into arterial stiffness and wave reflection.
  • Age significantly influences both lipid metabolism and vascular function.

Purpose of the Study:

  • To investigate the relationship between serum lipid biomarkers and PWA variables in high-risk CVD patients.
  • To explore age-related differences in these associations.
  • To identify specific hemodynamic and lipid parameters linked to cardiovascular risk.

Main Methods:

  • Seventy-six high/very high CVD risk patients were stratified into middle-aged and elderly groups.
  • Participants underwent PWA to assess hemodynamic parameters.
  • Serum lipid biomarkers and composite lipid indices were measured.

Main Results:

  • Significant correlations were found between PWA parameters and lipid biomarkers across both age groups.
  • Systolic blood pressure (SBP) and pulse wave velocity (PWV) independently determined triglyceride-glucose (TyG) index.
  • Age-dependent differences were observed, with elderly patients exhibiting higher PWV and distinct lipid associations.

Conclusions:

  • Serum lipids and PWA-derived hemodynamics interact significantly in an age-dependent manner in high-risk individuals.
  • Age-specific evaluation of lipid-hemodynamic interplay is vital for early CVD risk identification.
  • Findings support targeted management strategies based on age-specific risk profiles.