Exp Clin Endocrinol Diabetes 2010; 118(9): 638-643
DOI: 10.1055/s-0030-1254085
Article

© Georg Thieme Verlag KG Stuttgart · New York

Pulse Pressure and Systolic Blood Pressure are Powerful Independent Predictors of Cardiovascular Disease in Diabetic Adults: Results of an 8.4 years Follow-up of Tehran Lipid and Glucose Study (TLGS)

F. Hadaegh1 , M. Hatami1 , F. Sheikholeslami1 , F. Azizi2
  • 1Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Yaman street, Velenjak, Tehran, Iran
  • 2Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Yaman street, Velenjak, Tehran, Iran
Further Information

Publication History

Publication Date:
21 May 2010 (online)

Abstract

Aim: To determine the role of different blood pressure (BP) components as predictors of cardiovascular disease (CVD) in diabetic patients.

Methods: We followed 828 diabetic patients, aged ≥30 years, without baseline CVD and not taking antihypertensive drugs. The hazard ratios (HRs) for CVD were calculated for a 1 standard deviation (SD) change in each BP measure using Cox proportional regression analysis.

Results: During median 8.4 year- follow up, 134 CVD events occurred. Systolic BP (SBP), pulse pressure (PP) and mean arterial pressure (MAP) were independent predictors of CVD with multivariate adjusted hazard ratios (HRs) of 1.35, 1.36 and1.23 respectively (all p<0.05) and similar discriminatory power (C statistics≈75% ). The multivariate models containing MAP plus one other BP component highlighted the significant improvement in the goodness of fit to predict incident CVD (likelihood ratio test=0.01); however this was not so for SBP and PP. In the elderly subjects, only PP and SBP were significantly associated with CVD.

Conclusion: The SBP and PP are significant independent predictors of CVD in all diabetic populations (including younger and elder groups) and other BP components did not add to these measures in risk prediction.

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Correspondence

F. Hadaegh

Endocrine Research Center

Shaheed Beheshti University of Medical School

P. O. Box 4763

19395 Tehran

Iran

Islamic Republic of Iran

Phone: 98/21/2243 2500

Fax: 98/21/2240 2463

Email: fzhadaegh@endocrine.ac.ir

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