Low-density Lipoprotein Cholesterol and Non-High-Density Lipoprotein Cholesterol and the Incidence of Cardiovascular Disease in an Urban Japanese Cohort Study: The Suita Study

Atherosclerosis. 2009 Apr;203(2):587-92. doi: 10.1016/j.atherosclerosis.2008.07.020. Epub 2008 Jul 26.

Abstract

Objective: Only a small number of population-based cohort studies have directly compared the predictive value of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDLC) for coronary artery disease in Asian populations, such as Japan.

Methods: We performed an 11.9-year cohort study of 4694 men and women, aged 30-74 years, selected randomly from an urban general population in Japan. Baseline LDL-C levels were estimated using the Friedewald formula. The predictive values of LDL-C and non-HDLC for myocardial infarction (MI) and stroke were compared.

Results and conclusion: During the follow-up period, there were 80 incident cases of MI and 139 of stoke, comprised of 23 intracerebral hemorrhages, 85 cerebral infarctions and 31 other types of stroke. The Hazard ratio (HR) for MI was highest in the top quintile of LDL-C (HR: 3.03, 95% CI, 1.32-6.96) when male and female data were combined. The HR for MI was also highest in the top quintile of non-HDLC (HR: 2.97, 95% CI, 1.26-6.97). Analysis of trends showed a significant positive relationship between MI incidence and serum LDL-C and non-HDLC levels (both P=0.02). However, there was no relationship between the incidence of any subtype of stroke and either LDL-C or non-HDLC. The predictive value of LDL-C and non-HDLC for MI, assessed by calculating the differences in the -2 logarithm likelihood (-2ln [L]) and area under the curve (AUC), were almost similar.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cardiovascular Diseases / blood*
  • Cardiovascular Diseases / epidemiology*
  • Cholesterol / blood*
  • Cholesterol, LDL / blood*
  • Cohort Studies
  • Female
  • Humans
  • Incidence
  • Japan
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Risk
  • Urban Population

Substances

  • Cholesterol, LDL
  • Cholesterol