中国麻风皮肤病杂志 ›› 2020, Vol. 36 ›› Issue (12): 726-730.doi: 10.12144/zgmfskin202012726

• 论著 • 上一篇    下一篇

白癜风并发自身免疫性甲状腺疾病的危险因素分析及列线图预测模型的建立

倪萍,黄国惠,蒲亚玲,蒲泳君,李娇   

  1. 四川省绵阳市中心医院皮肤科,四川绵阳,621000
  • 出版日期:2020-12-15 发布日期:2020-12-03
  • 通讯作者: 倪萍,E-mail: npkgok@163.com

Discussion on risk factors of vitiligo complicated with autoimmune thyroid disease and establishment of nomogram model

NI Ping, HUANG Guohui, PU Yaling, PU Yongjun, LI Jiao   

  1. Department of Dermatology, Mianyang Central Hospital, Sichuan Province, Mianyang 621000, China
  • Online:2020-12-15 Published:2020-12-03
  • Contact: NI Ping, E-mail: npkgok@163.com

摘要: 目的:分析白癜风并发自身免疫性甲状腺疾病的危险因素并建立列线图预测模型。方法:收集2017年2月至2019年1月我院276例白癜风患者的临床资料,使用Logistic回归分析白癜风并发自身免疫性甲状腺疾病的独立危险因素。采用R(R 3.5.3)软件包,rms程序包,建立列线图预测模型。同时应用caret程序包进行Bootstrap法重复抽样1000次做内部验证,采用rms程序包计算一致性指数(C-index)。采用ROCR及rms程序包制作ROC曲线。结果:本研究白癜风并发自身免疫性甲状腺疾病的发生率为17.75%,高血糖、白癜风病程、白癜风类型、负性情绪、吸烟、自身免疫性甲状腺病家族史及其他自身免疫性疾病家族史为白癜风并发自身免疫性甲状腺疾病的独立危险因素(均P<0.05)。基于筛选的独立危险因素,建立预测列线图模型结果显示,实际发生率与预测发生率基本一致(χ2=3.854,P=0.724),C-index指数高达0.857(95% CI:0.829~0.885)。结论:白癜风患者应尽可能筛查自身免疫性甲状腺疾病,特别是在有危险因素的白癜风患者中。

关键词: 白癜风, 自身免疫性甲状腺疾病, 危险因素, 列线图

Abstract: Objective: To analyze the risk factors of vitiligo complicated with autoimmune thyroid disease and establish a nomogram prediction model. Methods: The clinical data of 276 patients with vitiligo in our hospital from February 2017 to January 2019 were collected, and logistic regression was used to analyze the independent risk factors of vitiligo complicated with autoimmune thyroid disease. A nomogram prediction model was established through R (R 3.5.3) software package and rms package to build a nomogram prediction model. At the same time, the caret program package was used to carry out the Bootstrap method Internal verification was performed through repeated sampling 1000 times of, Bootstrap method. The consistency index (C-index) was calculated by the rms program package. The ROC curve was made through ROCR and rms package. Results: The proportion of autoimmune thyroid disease in the group of the patients was 17.75%. Hyperglycemia, duration of vitiligo, type of vitiligo, negative mood, smoking, family history of autoimmune thyroid disease and family history of other autoimmune diseases were the independent risk factors of vitiligo complicated with autoimmune thyroid disease (Ps<0.05). The nomogram prediction model based on the 7 independent risk factors, showed that the actual incidence was basically the same as the predicted incidence (χ2=3.854, P=0.724), and the C-index index was 0.857 (95% CI: 0.829-0.885). Conclusion: Efforts should be made to detect autoimmune thyriod disease among the patients with vitiligo, particularly those with the risk factors.

Key words: vitiligo, autoimmune thyroid disease, risk factors, nomogram