A predictive nomogram model for diabetic peripheral neuropathy in elderly diabetic individuals
10.3969/j.issn.1006-6187.2025.09.004
- VernacularTitle:老年糖尿病周围神经病变风险列线图预测模型的研究
- Author:
Qian YANG
1
;
Yi ZHANG
;
Xiao WANG
;
Weimin WANG
;
Songqing ZHAO
Author Information
1. 223300 南京医科大学附属淮安第一医院老年医学科
- Publication Type:Journal Article
- Keywords:
Diabetes peripheral neuropathy;
Influencing factors;
Column chart
- From:
Chinese Journal of Diabetes
2025;33(9):656-659
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a predictive nomogram model for diabetic peripheral neuropathy(DPN)in elderly diabetic patients.Methods A total of 200 elderly patients with T2DM admitted to our hospital were enrolled in this study from January 2021 to October 2023.All the patients were divided into a simple T2DM group(n=160)and a T2DM combined with DPN(DPN,n=40)group.The general data and biochemical indexes were compared between the two groups.Spearman correlation analysis was used to explore the correlation between clinical indicators and the occurrence of DPN in the elderly.Logistic regression was used to analyze the influencing factors for DPN in the elderly,and a nomogram was constructed.The receiver operating characteristic(ROC)curve was used to evaluate the predictive efficacy of the model.Results The DM duration,DR and HbA1c were higher(P<0.05),while HDL-C was lower in the DPN group than in the T2DM group(P<0.05).Spearman correlation analysis showed that elderly DPN were positively correlated with DR,DM duration and HbA1c(r=0.456,0.565,0.580,P<0.05),and negatively correlated with HDL-C(r=-0.542,P<0.05).Logistic regression analysis showed that DR(OR 1.035,95%CI 1.032～1.040),DM duration(OR 1.070,95%CI 1.045～1.080),HbA1c(OR 1.235,95%CI 1.156～1.280)and HDL-C(OR 0.895,95%CI 0.877～0.950)were both influencing factors for elderly DPN.A nomogram prediction model for elderly DPN was constructed based on DR,DM duration,HbA1c and HDL-C.ROC curve analysis showed that the area under curve of this prediction model was 0.955,with a sensitivity of 92.50%,a specificity of 95.00%,and a cutoff value of 0.251.Conclusions The established predictive diagram model involves four variables,including DR,DM duration,HbA1c and HDL-C,which can assist the clinic to make an early assessment of DPN risk.
