Dyslipidemia is a strong predictor of myocardial infarction in subjects with chronic kidney disease

Ann Med. 2012 May;44(3):262-70. doi: 10.3109/07853890.2010.532153. Epub 2010 Nov 30.

Abstract

Aim: To evaluate dyslipidemia as predictor of myocardial infarction (MI) in subjects with or without chronic kidney disease (CKD).

Methods: In 142,394 middle-aged Swedes referred for laboratory evaluation, glomerular filtration rates (GFR) were estimated using the Modification of Diet in Renal Disease study equation. CKD was defined as GFR 15-60 mL/min/1.73 m(2). Subjects were stratified into presence or absence of CKD, and lipid measures were related to MI using Cox's proportional hazards regression.

Results: During 12 years of follow-up there were 5,466 MIs. The adjusted hazard ratio for MI for the highest versus the lowest quartile of the apolipoprotein (apo) B/apoA-1 ratio among individuals without CKD was 2.88 (95% confidence interval 2.54-3.26) and for those with CKD 3.35 (2.25-4.91). The corresponding estimates for the total cholesterol/high-density lipoprotein (HDL) cholesterol ratio were 3.13 (2.78-3.52) and 3.54 (2.43-5.17), respectively. Receiver operator characteristics analyses showed an advantage in the prediction of MI for the apoB/apoA-1 ratio as compared to conventional lipids (P < 0.0001).

Conclusions: The ratio of apoB/apoA-1, the ratio of total cholesterol/HDL cholesterol, and non-HDL cholesterol were all strong predictors of myocardial infarction, both among subjects with and without renal dysfunction, with a possible advantage for the apoB/apoA-1 ratio.

MeSH terms

  • Adult
  • Apolipoproteins / blood*
  • Cholesterol / blood*
  • Dyslipidemias / complications*
  • Female
  • Follow-Up Studies
  • Glomerular Filtration Rate
  • Humans
  • Incidence
  • Kidney Failure, Chronic / blood
  • Kidney Failure, Chronic / complications*
  • Kidney Failure, Chronic / physiopathology
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology
  • Myocardial Infarction / etiology*
  • Proportional Hazards Models
  • ROC Curve
  • Risk Factors

Substances

  • Apolipoproteins
  • Cholesterol