汕头大学医学院学报2023，Vol.36Issue(4)：215-219,5.DOI:10.13401/j.cnki.jsumc.2023.04.005
糖尿病周围神经病变诊断预测模型的建立和验证
Establishment and validation of a predictive model for the diagnosis of diabetic peripheral neuropathy
摘要
Abstract
Objective:To develop a predictive model for diabetic peripheral neuropathy(DPN)and validate its efficacy.Methods:Clinical data of 260 patients with type 2 diabetes mellitus hospitalized in Jieyang People's Hospital from January 2017 to October 2021 were retrospectively collected.The patients were divided into training set(183 cases)and validation set(77 cases)in a ratio of 7∶3 according to the order of inclusion time.There were 72 males and 111 females in the training set,aged(61.9±9.1)years,and 27 males and 50 females in the validation set,aged(63.1±8.6)years.All patients were divided into DPN and non-DPN groups.Relevant factors of DPN were screened by Lasso regression and multivariate logistic regression analysis,and the clinical factors combined with electromyography score nomogram prediction model was constructed.The area under curve(AUC)of receiver operating characteristic was used to evaluate the discrimination of the model,the calibration curve was used to assess the consistency of the model's predicted probability with the actual results,and the decision analysis curve was used to assess the clinical utility of the model.Results:Multivariate logistic regression analysis showed that smoking(OR=7.851,95%CI:2.624-23.489),disease duration(OR=1.016,95%CI:1.010-1.022),systolic blood pressure(OR=1.018,95%CI:1.001-1.035),hemoglobin(OR=0.974,95%CI:0.953-0.995)were correlates of DPN.The AUC of the model was 0.957 and 0.944 in the training set and validation set,respectively,and the calibration curve showed good agreement between the model prediction and the actual risk,and the decision analysis curve indicated that the model had clinical application.Conclusion:The constructed nomogram prediction model of clinical factors combined with electromyography score has high accuracy and clinical applicability,which helps in the early diagnosis of DPN.关键词
糖尿病周围神经病变/糖尿病/肌电图/预测模型Key words
diabetic peripheral neuropathy/diabetes mellitus/electromyography/predictive model分类
医药卫生引用本文复制引用
吴敏丽,林楚佳..糖尿病周围神经病变诊断预测模型的建立和验证[J].汕头大学医学院学报,2023,36(4):215-219,5.基金项目
广东省科技专项资金项目(201716116901047) （201716116901047）
