Body mass index and waist/height ratio for prediction of severity of coronary artery disease

BMC Res Notes. 2014 Apr 17:7:246. doi: 10.1186/1756-0500-7-246.

Abstract

Background: To determine whether waist-to-height ratio correlates with coronary artery disease (CAD) severity better, than the body mass index (BMI) as assessed by coronary angiography in Bangladeshi population.

Methods: This cross sectional study was done on patients in Department of Cardiology in DMCH and those referred in the cath-lab of the Department of Cardiology for CAG during November 2009 to October 2010 involving 120 patients. They were divided into group-A (with coronary score ≥7) and group-B (coronary score <7) depending on Gensisni score.

Result: There were no statistically significant difference regarding the distribution of age, sex and clinical diagnosis and parameters between the two groups. The mean age of patients was 51.7 ± 8.2 years and 48.8 ± 9.1 years in Group A and Group B respectively with a male predominance in both the groups. Patients in group A had higher BMI ≥25 and waist to height ratio (≥0.55) than Group B which showed a statistically significant association (p < 0.001). Though a significant positive correlation (r = 0.296, p = 0.006) was observed between BMI and Coronary artery disease score in group A patients, scenario was reverse fro group B (r = 0.076, p = 0.659). The statement was also true for Waist-to-height ratio and Waist-to-height ratio with BMI. Multivariate analysis also yeilded that a patient with BMI ≥25 kg/m2 and waist-to height ratio of ≥0.55 are 3.06 times and 6.77 times, more likely to develop significant coronary artery disease respectively.

Conclusion: The waist-to-height ratio showed better correlation with the severity of coronary artery disease than the BMI.

MeSH terms

  • Adult
  • Bangladesh
  • Biomarkers / analysis
  • Body Height*
  • Body Mass Index
  • Coronary Angiography
  • Coronary Artery Disease
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prognosis
  • Risk Factors
  • Severity of Illness Index
  • Waist Circumference*

Substances

  • Biomarkers