临床误诊误治2024,Vol.37Issue(12) :62-68.DOI:10.3969/j.issn.1002-3429.2024.12.013

T2DM继发周围神经病变发生风险的预测列线图模型研究

Study on a Nomogram Model for Predicting the Risk of Second-ary Peripheral Neuropathy in T2DM

仲彬 李杰 陈晓倩 高媛媛 王亚梅
临床误诊误治2024,Vol.37Issue(12) :62-68.DOI:10.3969/j.issn.1002-3429.2024.12.013

T2DM继发周围神经病变发生风险的预测列线图模型研究

Study on a Nomogram Model for Predicting the Risk of Second-ary Peripheral Neuropathy in T2DM

仲彬 1李杰 1陈晓倩 1高媛媛 2王亚梅1
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作者信息

  • 1. 210018 南京,南京市中心医院内分泌科
  • 2. 224001 江苏盐城,盐城市第一人民医院内分泌科
  • 折叠

摘要

目的 构建2型糖尿病(T2DM)继发周围神经病变风险的预警模型,并对该模型进行验证,旨在为临床评估T2DM继发周围神经病变提供可靠模型.方法 选取2021年9月至2023年10月收治的T2DM继发周围神经病变患者100例作为观察组,选取单纯T2DM患者100例作为对照组.收集2组临床资料、骨代谢标志物,随机森林算法筛选T2DM继发周围神经病变的因素,构建T2DM继发周围神经病变风险的预警列线图模型,受试者工作特征(ROC)曲线、Hosmer-Lemeshow检验评价风险预警模型的预测能力.结果 观察组病程、阻塞性睡眠呼吸暂停低通气综合征(OSAHS)患者占比、收缩压、糖化血红蛋白(HbA1c)、稳态模型胰岛素抵抗指数(HOMA-IR)、同型半胱氨酸(Hcy)高于对照组(P<0.05);观察组25-羟维生素D[25-(OH)D]、Ⅰ型前胶原N-端前肽(P Ⅰ NP)低于对照组,β-异构C-端肽(β-CTX)高于对照组(P<0.05).随机森林算法得出T2DM继发周围神经病变前7的重要排序变量为β-CTX、HOMA-IR、HbA1c、25-(OH)D、P Ⅰ NP、OSAHS、Hcy.基于以上因素构建T2DM继发周围神经病变风险列线图预警模型,ROC曲线显示该模型具有较高预测能力,Hosmer-Lemeshow检验显示该模型具有良好的校准能力.结论 T2DM继发周围神经病变风险的因素分别为β-CTX、HOMA-IR、HbA1c、OSAHS、Hcy、25-(OH)D、PⅠNP,基于以上因素构建列线图预警模型具有良好预测能力和校准能力,可为临床防治T2DM继发周围神经病变提供参考.

Abstract

Objective To establish and validate an early warning model for the risk of secondary peripheral neuropa-thy in type 2 diabetes mellitus(T2DM),in order to provide a reliable model for clinical evaluation of secondary peripheral neu-ropathy in T2DM.Methods In total,100 patients with secondary peripheral neuropathy in T2DM treated from September 2021 to October 2023 were selected as the observation group,and 100 patients with T2DM alone were selected as control group.Clinical data and bone metabolic markers of the two groups were collected,and factors related to secondary peripheral neuropathy in T2DM were screened by random forest algorithm.The early warning nomogram model for the risk of secondary peripheral neuropathy in T2DM was constructed,and receiver operating characteristic(ROC)curve and Hosmer-Lemeshow test were used to evaluate the predictive ability of the early warning model for the risk.Results The course of disease,pro-portion of patients with obstructive sleep apnea hypopnea syndrome(OSAHS),systolic blood pressure,hemoglobin A1 c(HbA1c),homeostasis model assessment-insulin resistance index(HOMA-IR)and homocysteine(Hcy)in observation group were higher than those in control group(P<0.05).The 25-hydroxyvitamin D[25-(OH)D]and type Ⅰ procollagen N-terminal propeptide(P Ⅰ NP)were lower than those of control group,and beta-isomerized C-telopeptide(β-CTX)were higher than those of control group(P<0.05).According to Random forest algorithm,the important ranking variables of the first 7 of secondary pe-ripheral neuropathy in T2DM were β-CTX,HOMA-IR,HbA1c,25-(OH)D,P Ⅰ NP,OSAHS and Hcy.Based on the above fac-tors,an early warning nomogram model for the risk of secondary peripheral neuropathy in T2DM was constructed.ROC curve showed that the model had high predictive ability,and Hosmer-Lemeshow test showed that the model had good calibration ability.Conclusion The risk factors of secondary peripheral neuropathy in T2DM are β-CTX,HOMA-IR,HbA1c,OSAHS,Hey,25-(OH)D,and P Ⅰ NP,respectively.Based on the above factors,a early warning nomogram model is constructed,which has good prediction and calibration ability.It can provide reference for clinical prevention and treatment of secondary periph-eral neuropathy in T2DM.

关键词

糖尿病,2型/糖尿病神经病变/胰岛素抵抗指数/糖化血红蛋白/睡眠呼吸暂停,阻塞性/25-羟维生素D/Ⅰ型前胶原N-端前肽

Key words

Diabetes mellitus,type 2/Diabetic neuropathies/Insulin resistance index/Glycosylated hemoglobin/Sleep apnea,obstructive/25-hydroxyvitamin D/Type Ⅰ procollagen N-terminal propeptide

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基金项目

南京市卫生科技发展专项资金项目(YKK20249)

江苏省干部保健科研项目(BJ21007)

出版年

2024
临床误诊误治
解放军白求恩国际和平医院

临床误诊误治

CSTPCD
影响因子:0.914
ISSN:1002-3429
参考文献量5
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