The value of insulin resistance in predicting cerebral small vessel disease
- VernacularTitle:胰岛素抵抗在脑小血管病诊断中的预测价值
- Author:
Xuyou ZHOU
1
;
Jin HU
1
;
Minlei HU
1
Author Information
- Publication Type:Journal Article
- Keywords: Cerebral small vessel disease; Insulin resistance; Risk factor; Forecast
- From: Journal of Apoplexy and Nervous Diseases 2021;38(10):1090-1094
- CountryChina
- Language:Chinese
- Abstract: Objective The study aims to explore the value of insulin resistance（IR）in predicting the occurrence of cerebral small vessel disease（CSVD）.Methods A total of 172 patients were enrolled in the Affiliated Hospital of Jiaxing University from August 2019 to December 2020.HOMA-IR index was calculated according to the formula and the 3.0 value was the cut-off point of IR.All patients were divided into CSVD group and non-CSVD group or IR group and non-IR group.The total CSVD score was calculated according to the presence of each CSVD feature on MR from 0 to 4 using a recent described score rule.The relationship between CSVD and HOMA-IR was analyzed via the dichotomy logistic method.And the receiver operating characteristic curve (ROC curve) was used to evaluate the accuracy and specificity of HOMA-IR for predicting CSVD.Results The results showed the IR ratio rises with the increase of CSVD score.We compared the difference in the proportion of IR between mild CSVD and moderate-to-severe CSVD with the result of 44.1% vs 66.1% (P<0.05).HOMA-IR in non-CSVD group was significantly lower than those in CSVD group 1.9 (IQR:1.0~4.2) compared with 3.7 (IQR:1.5~5.1)(P<0.05).The result of OR value for multiple logistic regression analysis was 1.18 (95%CI 1.01~1.38)(P<0.05).ROC curve shows the sensitivity and specificity of the optimal cut-off value,marked as 2.54,were 65.25% and 62.96% (P=0.004).Conclusion IR has a certain predictive value in the diagnosis of CSVD.It is involved in the pathogenesis and progression of CSVD.
- Full text:2024072909202372158The value of insulin resistance in predicting cerebral small vessel disease.pdf
