Determinants of 1-Year Changes of Brachial Ankle Pulse Wave Velocity (baPWV) in Patients with Type 2 Diabetes Mellitus.
10.4093/kdj.2008.32.4.346
- Author:
Kyung Won YUN
1
;
Bo Hyun KIM
;
Young Pil BAE
;
Byeong Do YI
;
Seung Woo LEE
;
Hong Kyu LIM
;
Yeon Sik RYU
;
Chang Won LEE
Author Information
1. Department of Endocrinology and Metabolism, Busan St. Mary's Medical Center, Korea.
- Publication Type:Original Article
- Keywords:
Ankle brachial pressure index;
Brachial-ankle pulse-wave velocity;
Diabetes;
Systolic blood pressure
- MeSH:
Adult;
Animals;
Ankle;
Atherosclerosis;
Blood Pressure;
Body Weight;
Body Weight Changes;
Cardiovascular Diseases;
Cholesterol;
Diabetes Mellitus, Type 2;
Fasting;
Glucose;
Humans;
Insulin;
Plasma;
Pulse Wave Analysis;
Retrospective Studies;
Waist-Hip Ratio
- From:Korean Diabetes Journal
2008;32(4):346-357
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: Cardiovascular disease is the leading cause of mortality in type 2 diabetes. PWV correlates well with arterial distensibility and stiffness and a useful approach for evaluating the severity of systemic atherosclerosis in adults, and, in particular, the measurement of brachial-ankle PWV (baPWV) has been commonly reported as a simple, noninvasive and practicable method. baPWV was mainly affected by age, SBP and sex. And also, baPWV was affected by many different factors such as body weight, BMI, waist to hip ratio, HbA1c, microalbuminuria, triglyceride, gammaGTP, duration of DM. We evaluated determinants of 1-year changes of baPWV in patients with type 2 DM. METHODS: The study group comprised 189 diabetic patients who measured ankle brachial pressure index (ABI), baPWV at base line and 1-year later. The anthropometric parameters, blood pressure, pulse pressure, fasting plasma glucose (FBS), fasting insulin, A1c, lipid profile, hsCRP, microalbuminuria, AST/ALT, gammaGTP were also checked concurrently. We also analyzed correlation between change of baPWV and subject's medications. We retrospectively analyzed the relationship between the 1-year changes of baPWV and the other factors. All analyses were performed with the SPSS Version 14.0 and P values < 0.05 were considered significant. RESULTS: baPWV change was affected by systolic blood pressure change, diastolic blood pressure change, pulse pressure change, body weight, BMI, triglyceride change, insulin treatment and total cholesterol. Multiple regression analysis of the relationship between change of baPWV and other associated variables shows that the 1-year change of baPWV was significantly associated with the changes of blood pressure and insulin treatment in patients with type 2 DM. CONCLUSION: 1-year change of baPWV was significantly associated with the changes of blood pressure in patients with type 2 DM.
