Frs, Ukpds and Ascvd Risk Score Are Positively Correlated with Pulse Wave Velocity but Not with Ankle-Brachial Index in Advanced Korean Adult T2DM Subjects
Presentation Number: SAT 518
Date of Presentation: April 1st, 2017
Su Kyoung Kwon1, Seokhyeun Kim*2, Young Chan Park3, Jeonghyun Lee4 and Young-Sik Choi5
1Kosin University College of Medicine, Busan, Korea, Republic of (South), 2Kosin University Gospel Hospital, Korea, Republic of (South), 3Kosin Gospel Hospital, busan, 4Kosin University Gospel Hospital, 5Kosin Univ Sch of Med, Busan, Korea, Republic of (South)
Background and Objective: Pulse wave velocity (PWV) and Ankle-brachial index (ABI) are well known non-invasive methods that measure arterial stiffness and atherosclerosis. Increased arterial stiffness measured by PWV and decreased ABI have been suggested as risk factors for increased cardiovascular risk in patient with diabetes. Framingham Risk Score (FRS) in general population and United Kingdom Prospective diabetes Study (UKPDS) risk score in type 2 diabetes and atherosclerotic cariovascular disease risk were well known clinical cardiovascular disease (CVD) Risk prediction methods. This study was performed to elucidate the correlation between PWV and VBI with widely accepted CVD risk scoring systems such as FRS and UKPDS CHD and ASCVD risk simultaneously.
From April 2010 to April 2015, total 324 (170=men and 154=women) numbers of Type 2 diabetes subjects who visited outpatients clinics or admitted in Kosin University Gospel Hospital were included. Brachial-ankle Pulse Wave Velocity (BaPWV, m/sec), Mean ankle brachial index (ABI), Age (years), DM duration (months), Systolic Blood pressure (BP, mmHg), Body mass index (BMI, m/Kg2), Albumin Creatinine Ratio (ACR), Fasting Blood Sugar (FBS, mg/dL), HbA1C(%), 25(OH)Vitamin D(IU), Total cholesterol(mg/dL), HDL (mg/dL), Triglyceride (mg/dL), Framingham risk score (FRS), United Kingdom Prospective Diabetes Study (UKPDS) CHD score, ASCVD risk, Homeostatic model assessment of insulin restance (HOMA)-IR, Homeostatic model assessment (HOMA)-β were measured. Data was analyzed by using Statistical Package for Social Science (IBM SPSS Statistics 18 Standard for Medical Science).
The BaPWV was correlated with FRS (γ= 0.326 P < 0.01), UKPDS CHD (γ= 0.388 P<0.01) and ASCVD Risk (γ= 0.362 P <0.01). The BaPWV was correlated with FRS (γ= 0.423 P < 0.01), UKPDS CHD (γ=0.369 P <0.01) and ASCVD Risk (γ= 0.352 P<0.01) in men with diabetes. The BaPWV was correlated with FRS (γ=0.448 p<0.01), UKPDS CHD (γ=0.512 p < 0.01) and ASCVD Riskk (γ= 0.424 P < 0.01) in women with diabetes. ABI was not significantly correlated with FRS, UKPDS CHD risk and ASCVD Risk. BaPWV was not correlated with ABI (γ= 0.058 P <0.287).
BaPWV is well correlated with FRS, UKPDS CHD Risk scores and ASCVD risk but not with ABI. Increased BaPWV can be a useful marker to predict cardiovascular event in advanced Korean type 2 diabetes patient.
Nothing to Disclose: SKK, SK, YCP, JL, YSC