Objective:To investigate the risk factors of sarcopenia in middle-aged and elderly patients with type 2 diabetes and construct a nomogram model.Methods:In this cross-sectional study,a total of 349 patients with type 2 diabetes admitted from May 2023 to December 2023 in the Department of Endocrinology of a tertiary A-level hospital in Anhui Province were selected and investigated using questionnaires and convenient sampling.Univariate analysis and Logistic regression analysis were performed to explore the risk factors of sarcopenia in type 2 diabetes patients,and a visual risk prediction model was constructed.The prediction efficiency of the model was verified by the region under receiver operating characteristic(ROC)curve.Results:The incidence of sarcopenia in patients with type2 diabetes was16.9%(59/349).Multivariate logistic regression analysis showed that diabetes course,the number of exercises per week,BMI,calf girth,Pittsburgh Sleep Quality Index(PSQI)score,and Nutritional Status Assessment(MNA-SF)score were the influencing factors for the development of sarcopenia in patients with type 2 diabetes.According to these variables,a prediction model was constructed,and the area under the ROC curve was 0.982[95%CI(0.968,0.995)].The optimal critical value was 0.366,the sensitivity was 0.966,and the specificity was 0.934.The H-L test showed that χ2=2.446,P=0.964,and Brier score was 0.036.Conclusion:The risk prediction model of sarcopenia is effective and can provide reference for clinical treatment.
the agedmiddle-aged peopletype 2 diabetessarcopeniapredictive model
NETL
NSTL
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