Predictive value of non-HDL cholesterol for cardiovascular disease in a population in far western Algeria with type 2 diabetes

Diabetes Metab Syndr. Jan-Feb 2019;13(1):826-829. doi: 10.1016/j.dsx.2018.12.002. Epub 2018 Dec 10.

Abstract

Background: Non high density lipoprotein cholesterol (non-HDL-C) is a risk factor for cardiovascular disease (CVD) in people with type 2 diabetes. The aim of our study is to estimate the relative multivariate risk of non-HDL-C in the occurrence of CVD in a population in the extreme western Algeria with type 2 diabetes mellitus (T2DM).

Methods: Our study was carried out in western Algeria on a population of 1111 subjects, 371 cardiopaths with T2DM and 740 controls. The biochemical balance was established using standard enzymatic procedures (SFBC or IFCC recommendations) on the Beckman CX7® PLC (Beckman-Coulter®, NY, USA). Information on the pathologies was collected by means of a questionnaire.

Results: The logistic model retained the two levels of non-HDL-C: 130 mg/dl < non-HDL-C≤160 mg/dl (OR = 0.11; 95% CI = 0.03-0,47, P = 0.003) and 160 mg/dl < non-HDL-C≤190 mg/dl (OR = 5.02; 95% CI = 1.1-22.87, P = 0.037) and smoking (OR = 19.27; 95% CI = 3.39-109.63, P = 0.001), inbreeding (OR = 3.65; 95% CI = 1.12-11,85, P = 0.031) and the two age groups 60-70 years (OR = 2.36; 95% CI = 1.32-4.2, P<<0.01) and 70 years and over (OR = 2.26; 95% CI = 1.19-4.29, P<<0.05).

Conclusions: Non-HDL-C is a powerful risk factor for the occurrence of cardiovascular disease in type 2 diabetics in the extreme western Algeria.

Keywords: CVD; Logistic model; Non-HDL-C; T2DM; Western Algeria.

MeSH terms

  • Aged
  • Algeria / epidemiology
  • Cardiovascular Diseases / blood*
  • Cardiovascular Diseases / diagnosis*
  • Cardiovascular Diseases / epidemiology
  • Case-Control Studies
  • Cholesterol / blood*
  • Cholesterol, HDL / blood
  • Diabetes Mellitus, Type 2 / blood*
  • Diabetes Mellitus, Type 2 / diagnosis*
  • Diabetes Mellitus, Type 2 / epidemiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Population Surveillance* / methods
  • Predictive Value of Tests
  • Risk Factors

Substances

  • Cholesterol, HDL
  • Cholesterol