Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal


Author index

Page Path
HOME > Browse > Author index
Fan Hu 1 Article
Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model
Birong Wu, Zheyun Niu, Fan Hu
Diabetes Metab J. 2021;45(4):526-538.   Published online July 30, 2021
  • 7,190 View
  • 307 Download
  • 12 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Diabetic peripheral neuropathy (DPN) is one of the most serious complications of type 2 diabetes mellitus (T2DM). DPN increases the risk of ulcers, foot infections, and noninvasive amputations, ultimately leading to long-term disability.
Seven hundred patients with T2DM were investigated from 2013 to 2017 in the Sanlin community by obtaining basic data from the electronic medical record system (EMRS). From September 2018 to July 2019, 681 patients (19 missing) were investigated using a questionnaire, physical examination, biochemical index test, and follow-up Toronto clinical scoring system (TCSS) test. Patients with a TCSS score ≥6 points were diagnosed with DPN. After removing missing values, 612 patients were divided into groups in a 3:1 ratio for external validation. Using different Lasso analyses (misclassification error, mean squared error, –2log-likelihood, and area under curve) and a logistic regression analysis of the training set, models A, B, C, and D were established. The receiver operating characteristic (ROC) curve, calibration plot, dynamic component analysis (DCA) measurements, net classification improvement (NRI) and integrated discrimination improvement (IDI) were used to validate discrimination and clinical practicality of the model.
Through data analysis, model A (containing four factors), model B (containing five factors), model C (containing seven factors), and model D (containing seven factors) were built. After calibration, ROC curve, DCA, NRI and IDI, models C and D exhibited better accuracy and greater predictive power.
Four prediction models were established to assist with the early screening of DPN in patients with T2DM. The influencing factors in model C and D are more important factors for patients with T2DM diagnosed with DPN.


Citations to this article as recorded by  
  • Diabetes Mellitusu Olan Bireylerde Periferal Nöropati ve Hemşirelik Bakımı
    Akdeniz Hemşirelik Dergisi.2024; 2(3): 113.     CrossRef
  • Risk Factors for Subclinical Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus
    Li Gao, Jiexing Qin, Ying Chen, Wenqun Jiang, Desheng Zhu, Xiajun Zhou, Jie Ding, Huiying Qiu, Yan Zhou, Qing Dong, Yangtai Guan
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 417.     CrossRef
  • Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
    Lianhua Liu, Bo Bi, Li Cao, Mei Gui, Feng Ju
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Multi‐feature, Chinese–Western medicine‐integrated prediction model for diabetic peripheral neuropathy based on machine learning and SHAP
    Aijuan Jiang, Jiajie Li, Lujie Wang, Wenshu Zha, Yixuan Lin, Jindong Zhao, Zhaohui Fang, Guoming Shen
    Diabetes/Metabolism Research and Reviews.2024;[Epub]     CrossRef
  • Clinical significance of vascular endothelial growth factor and endothelin-1 in serum levels as novel indicators for predicting the progression of diabetic nephropathy
    Wei Chu, Lin-Lin Ma, Bin-Xian Li, Ming-Cheng Li
    European Journal of Inflammation.2023; 21: 1721727X2311515.     CrossRef
  • Common and contrast determinants of peripheral artery disease and diabetic peripheral neuropathy in North Central Nigeria
    Felicia Ehusani Anumah, Yakubu Lawal, Rifkatu Mshelia-Reng, Special Odiase Omonua, Kenechukwu Odumodu, Ramatu Shuaibu, Ukamaka Dorothy Itanyi, Amina Ibrahim Abubakar, Hadijat Oluseyi kolade-Yunusa, Zumnan Songden David, Babajide Ogunlana, Andrew Clarke, O
    The Foot.2023; 55: 101987.     CrossRef
  • ApoA-I and Diabetes
    Thomas W. King, Blake J. Cochran, Kerry-Anne Rye
    Arteriosclerosis, Thrombosis, and Vascular Biology.2023; 43(8): 1362.     CrossRef
  • Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning
    Xiaoyang Lian, Juanzhi Qi, Mengqian Yuan, Xiaojie Li, Ming Wang, Gang Li, Tao Yang, Jingchen Zhong
    BMC Medical Informatics and Decision Making.2023;[Epub]     CrossRef
  • Establishment and health management application of a prediction model for high-risk complication combination of type 2 diabetes mellitus based on data mining
    Xin Luo, Jijia Sun, Hong Pan, Dian Zhou, Ping Huang, Jingjing Tang, Rong Shi, Hong Ye, Ying Zhao, An Zhang, Yee Gary Ang
    PLOS ONE.2023; 18(8): e0289749.     CrossRef
  • Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state Northwest Ethiopia, 2005–2021
    Negalgn Byadgie Gelaw, Achenef Asmamaw Muche, Adugnaw Zeleke Alem, Nebiyu Bekele Gebi, Yazachew Moges Chekol, Tigabu Kidie Tesfie, Tsion Mulat Tebeje, Jacopo Sabbatinelli
    PLOS ONE.2023; 18(8): e0276472.     CrossRef
  • Machine Learning Models for Blood Glucose Level Prediction in Patients With Diabetes Mellitus: Systematic Review and Network Meta-Analysis
    Kui Liu, Linyi Li, Yifei Ma, Jun Jiang, Zhenhua Liu, Zichen Ye, Shuang Liu, Chen Pu, Changsheng Chen, Yi Wan
    JMIR Medical Informatics.2023; 11: e47833.     CrossRef
  • Establishment of models to predict factors influencing periodontitis in patients with type 2 diabetes mellitus
    Hong-Miao Xu, Xuan-Jiang Shen, Jia Liu
    World Journal of Diabetes.2023; 14(12): 1793.     CrossRef
  • Impact of Nutraceuticals on Type 1 and Type 2 Diabetes Mellitus-Induced Micro- and Macrovasculopathies
    Philanathi Mabena, Thandi M. D. Fasemore, Pilani Nkomozepi
    Applied Sciences.2023; 14(1): 64.     CrossRef
  • Prediction Model for the Risk of HIV Infection among MSM in China: Validation and Stability
    Yinqiao Dong, Shangbin Liu, Danni Xia, Chen Xu, Xiaoyue Yu, Hui Chen, Rongxi Wang, Yujie Liu, Jingwen Dong, Fan Hu, Yong Cai, Ying Wang
    International Journal of Environmental Research and Public Health.2022; 19(2): 1010.     CrossRef
  • Management of Type II Diabetes Mellitus using Adult Autologous Adipose derived stem cells with Platelets Rich Plasma (PRP)
    Shahzad Anwar, Ayesha Nawaz, Zaigham Abbas
    Pakistan BioMedical Journal.2022; : 270.     CrossRef
  • A Nomogram for Predicting the Possibility of Peripheral Neuropathy in Patients with Type 2 Diabetes Mellitus
    Wanli Zhang, Lingli Chen
    Brain Sciences.2022; 12(10): 1328.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal