Diabetes, but not the metabolic syndrome, predicts the severity and extent of coronary artery disease in women

  • T. Zornitzki
  • , O. Ayzenberg
  • , G. Gandelman
  • , S. Vered
  • , E. Yaskil
  • , D. Faraggi
  • , A. Caspi
  • , S. Goland
  • , O. Shvez
  • , A. Schattner
  • , H. Knobler

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Previous studies have suggested that diabetes and metabolic syndrome are significant risk factors for coronary artery disease (CAD). However, in women, their relative importance remains controversial. Aim: To evaluate risk factors for CAD in women and their association with the severity and extent of coronary angiographic findings. Methods: We clinically evaluated 243 consecutive female patients with chest pain who underwent coronary angiography. The location and extent of coronary artery occlusions were assessed using the modified Gensini index. Results: Compared with women with normal coronary arteries (n=90), those with CAD (n=153) reported less physical activity (p=0.001), and had higher prevalences of diabetes (p=0.046), hypertension (p=0.002), and the metabolic syndrome (p=0.001). They also had lower HDL cholesterol levels (p=0.017), higher levels of triglycerides (p=0.005), and higher fasting plasma glucose (FPG) (p > 0.001). Physical activity, FPG, serum triglycerides and HDL-cholesterol, but not the metabolic syndrome, were independent predictors of CAD. A score combining the extent and severity of angiographic findings was significantly higher in women with diabetes (p=0.007), hypertension (p=0.010) and FPG ≥ 100 mg/dl (p=0.031), but showed no association with the metabolic syndrome. In a multivariate linear regression analysis, diabetes was an independent predictor of the extent and severity of angiographic score (p=0.013). Discussion: Diabetes, fasting plasma glucose and hypertension, but not the metabolic syndrome, were associated with severity of coronary angiographic findings in these women.

Original languageEnglish
Pages (from-to)575-581
Number of pages7
JournalQJM: An International Journal of Medicine
Volume100
Issue number9
DOIs
StatePublished - Sep 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Medicine

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