Cardiovascular disease risk in patients with elevated LDL-C levels: FH vs. non-FH

Haomin Huang1, Lamei Li2, Anni Yang2

  • 1Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

PubMed

Insights

Familial hypercholesterolemia (FH) mutations did not increase coronary artery disease (CAD) risk in patients with high LDL-C. However, FH mutations significantly increased the risk of severe CAD (triple vessel disease) in patients with normal kidney function.

Area of Science:

  • Cardiology
  • Genetics
  • Nephrology

Background:

  • Coronary artery disease (CAD) is a leading global cause of death.
  • Familial hypercholesterolemia (FH) is a common genetic disorder that significantly increases CAD risk.
  • High low-density lipoprotein cholesterol (LDL-C) levels are a major risk factor for CAD.

Purpose of the Study:

  • To investigate the differential CAD risk between FH and non-FH patients with elevated LDL-C.
  • To identify genetic risk factors for CAD severity in patients with hypercholesterolemia.

Main Methods:

  • Enrolled 223 individuals (≥18 years) who underwent coronary angiography (CAG) and had LDL-C levels ≥4.0 mmol/L.
  • Performed next-generation sequencing on 11 genes associated with FH.
  • Analyzed CAD presence and severity (triple vessel disease - TVD) in relation to FH mutations and estimated glomerular filtration rate (eGFR).

Main Results:

  • No significant difference in FH gene proportions was observed between CAD and non-CAD groups.
  • The TVD group showed a higher proportion of FH gene mutations (P<0.05) and lower eGFR.
  • Multivariate analysis identified eGFR as an independent risk factor for TVD; however, in patients with high eGFR, FH mutations in 3 major genes independently predicted TVD (OR 3.00).

Conclusions:

  • FH mutations did not elevate CAD rates in individuals with LDL-C ≥4.0 mmol/L.
  • Among CAD patients with normal renal function, FH mutations in 3 major genes were associated with a 3-fold increased risk of TVD.
Abstract

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