Study of the prediction model of lower extremity vascul ar lesions in type 2 diabetes mellitus based on visceral fat area
Objective To construct a prediction model of lower extremity vascular disease in type 2 diabetes mellitus based on visceral fat area(VFA).Methods A total of 257 patients with type 2 diabetes mellitus hospitalized in Liuzhou Workers Hospital,Guangxi Zhuang Autonomous Region from July 2019 to September 2022 were selected and divided into case group(115 cases)and control group(142 cases)according to whether they had atherosclerosis,stenosis,or obliteration of lower extremity arteries.The clinical data of the two groups were compared,and the prediction model of lower extremity vascular lesions of type 2 diabetes mellitus was constructed by logistic regression analysis.Hosmer-Lemeshow goodness of fit test evaluated model calibration,and area under receiver operating characteristic curve(AUC)was used to evaluate model differentiation.Results There were significant differences in hypertension history,disease course,age,body mass index,urea nitrogen,creatinine,uric acid,aspartate aminotransferase,and VFA between the two groups(P＜0.05).The results of multivariate analysis showed that course,age,and VFA were all independent influencing factors of lower extremity vascular lesions in type 2 diabetes mellitus patients(OR＞1,P＜0.05).The prediction model of lower extremity vascular disease in type 2 diabetes mellitus was Logit(P)=-11.605+0.986×course(≥ten years)+2.075×age(≥45 years)+0.103×VFA,model AUC was 0.929,sensitivity was 80.9%,specificity was 88.7%.Conclusion The prediction model of lower extremity vascular lesions risk in type 2 diabetes mellitus based on VFA has good prediction efficiency,and has clinical application value for the identification and intervention of high-risk groups of lower extremity vascular lesions in type 2 diabetes mellitus.
Visceral fat areaType 2 diabetes mellitusLow-er extremity vascular lesionsPredictive model
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