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Cerebral arterial pulsatility and insulin resistance in type 2 diabetic patients.

Authors
 Jong Suk Park  ;  Min Ho Cho  ;  Kyung Yul Lee  ;  Chul Sik Kim  ;  Hai Jin Kim  ;  Ji Sun Nam  ;  Chul Woo Ahn  ;  Bong Soo Cha  ;  Eun Jig Lee  ;  Sung Kil Lim  ;  Kyung Rae Kim  ;  Hyun Chul Lee 
Citation
 DIABETES RESEARCH AND CLINICAL PRACTICE, Vol.79(2) : 237-242, 2008 
Journal Title
 DIABETES RESEARCH AND CLINICAL PRACTICE 
ISSN
 0168-8227 
Issue Date
2008
MeSH
Adult ; Aged ; Blood Pressure ; Body Mass Index* ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/physiopathology* ; Diabetic Angiopathies/epidemiology ; Female ; Glycated Hemoglobin A/analysis ; Hematocrit ; Humans ; Insulin Resistance/physiology* ; Lipids/blood ; Liver Function Tests ; Male ; Middle Aged ; Middle Cerebral Artery/physiology ; Middle Cerebral Artery/physiopathology* ; Patient Selection ; Pulse* ; Reference Values
Keywords
Pulsatility index ; Insulin resistance ; Type 2 diabetes
Abstract
Diabetic patients have a threefold risk for cerebrovascular disease compared with nondiabetic controls. The aim of the present study was to investigate the association of insulin resistance with the pulsatility index (PI) of cerebral arteries in type 2 diabetic patients. We compared a group of 90 patients with stroke-free, type 2 diabetes and an age- and sex-matched control group of 45 healthy subjects without diabetes. We then evaluated the PI of the middle cerebral artery (MCA) by transcranial Doppler ultrasonography (TCD), and insulin resistance was determined by a short insulin tolerance test. The PI was significantly higher in diabetic patients than in healthy controls (p<0.05) and also higher in patients with insulin resistance than that seen in insulin sensitive diabetic patients (p<0.05). The PI of the MCA was significantly correlated with age (R=0.465, p<0.01), duration of diabetes (R=0.264, p=0.025) and hypertension (R=0.285, p=0.015) and inversely correlated with the insulin resistance index (Kitt: R=-0.359, p=0.030). A multiple regression analysis was performed with PI as the dependent variable and insulin resistance as an independent variable along with known clinical risk factors. Age (beta=0.393, p<0.01) and duration of diabetes (beta=0.274, p=0.043) exhibited a significant independent contribution to PI. PI could be a useful marker in the detection of diabetic cerebrovascular changes, and insulin resistance showed correlations with PI, but age and the duration of diabetes contributed independently to the variability in the PI.
Full Text
http://www.sciencedirect.com/science/article/pii/S0168822707004664
DOI
10.1016/j.diabres.2007.08.029
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Kyung Rae(김경래)
Kim, Chul Sik(김철식)
Kim, Hae Jin(김혜진)
Nam, Ji Sun(남지선) ORCID logo https://orcid.org/0000-0001-8655-5258
Park, Jong Suk(박종숙) ORCID logo https://orcid.org/0000-0002-5385-1373
Ahn, Chul Woo(안철우) ORCID logo https://orcid.org/0000-0003-3733-7486
Lee, Kyung Yul(이경열) ORCID logo https://orcid.org/0000-0001-5585-7739
Lee, Eun Jig(이은직) ORCID logo https://orcid.org/0000-0002-9876-8370
Lee, Hyun Chul(이현철)
Lim, Sung Kil(임승길)
Cho, Min Ho(조민호)
Cha, Bong Soo(차봉수) ORCID logo https://orcid.org/0000-0003-0542-2854
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/106618
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