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基于临床科研共享系统建立膝骨关节炎分级模型

王佩 张兴平 高云 魏戌 杨伟 王浩 陈红玉

中国骨伤2018,Vol.31Issue(6):528-533,6.
中国骨伤2018,Vol.31Issue(6):528-533,6.DOI:10.3969/j.issn.1003-0034.2018.06.009

基于临床科研共享系统建立膝骨关节炎分级模型

Establishment of grading model of knee osteoarthritis based on clinical research system

王佩 1张兴平 1高云 2魏戌 1杨伟 3王浩 1陈红玉1

作者信息

  • 1. 中国中医科学院望京医院,北京 100102
  • 2. 中国中医科学院眼科医院,北京 100040
  • 3. 中国中医科学院中医临床基础医学研究所,北京 100700
  • 折叠

摘要

Abstract

Objective:The factors influencing the grade of knee osteoarthritis were screened by ordered Logistic regression analysis. The classification model of knee osteoarthritis was established, which provided tool for the evaluation of clinical classification of knee osteoarthritis. Methods:A total of 753 cases of knee osteoarthritis from Wangjing Hospital, China Academy of Chinese Medical Sciences were treated with single factor and multivariate Logistic regression analysis from September 18, 2014 to April 26, 2016. The model formula was constructed and evaluated. Results:In this study, it was found that 13 factors associated with knee osteoarthritis grading. Old age, obesity, long course of disease, recurrence, lower limb deformity, quadriceps muscle atrophy, WOMAC index, TCM syndrome score, VAS score and grading degree were positively correlated. One knee pain, limited pain range, knee activity and grading degree were negatively correlated. The knee osteoarthritis grading model was constructed and the evaluation test was effective (Training set AUC = 0.860, test set AUC = 0.879). Conclusion:In this study, a classification model of knee osteoarthritis was established which has a good ability to predict the classification of knee osteoarthritis under preliminary evaluation.

关键词

膝骨关节炎/影响因素/分级模型/Logistic回归

Key words

Knee osteoarthritis/Influencing factors/Grading model/Logistic regression

引用本文复制引用

王佩,张兴平,高云,魏戌,杨伟,王浩,陈红玉..基于临床科研共享系统建立膝骨关节炎分级模型[J].中国骨伤,2018,31(6):528-533,6.

基金项目

中国中医科学院基本科研业务费自主选题(编号:ZZ0808006) (编号:ZZ0808006)

China Academy of Chinese Medical Sciences:United Innovation Research Project of Guest Researcher(No. ZZ0808006) (No. ZZ0808006)

中国骨伤

OACSCDCSTPCD

1003-0034

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