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膝骨关节炎风寒湿痹证素评分与膝骨关节炎病情严重程度的关系研究 被引量:4

Correlation between syndrome element score of wind-cold-dampness arthralgia and severity of knee osteoarthritis:a clinical study
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摘要 目的:探讨膝骨关节炎(knee osteoarthritis,KOA)风寒湿痹证素评分与膝骨关节炎病情严重程度的关系。方法:从课题组前期风寒湿痹证队列研究中筛选患者,从病例资料中提取患者的性别、年龄、体质量指数、中医证候、西安大略和麦克马斯特大学骨关节炎指数(Western Ontario and McMaster Universities osteoarthritis index,WOMAC)评分和膝骨关节炎全器官磁共振成像评分(whole-organ magnetic resonance imaging score,WORMS)。拟定包含25个证候条目的KOA风寒湿痹证素评分量表,并对入选患者进行证素评分。分析KOA风寒湿痹证素评分与WOMAC评分、WORMS的关系。结果:①一般情况。共纳入102例KOA患者,男22例、女80例;年龄47~73岁,中位数61岁;体质量指数17.87~31.14 kg·m^(-2),中位数23.43 kg·m^(-2);KOA风寒湿痹证素评分0~21分,中位数7分;WOMAC评分0~159.4分,中位数39.7分;WORMS 6~60分,中位数18.75分。②相关性分析结果。KOA风寒湿痹证素评分与WOMAC评分、WORMS均呈正相关(r=0.495,P=0.000;r=0.243,P=0.014);排除年龄、性别、体质量指数的影响后,KOA风寒湿痹证素评分与WOMAC评分呈正相关(r=0.419,P=0.000),与WORMS不存在相关性(r=0.163,P=0.108)。③回归分析结果。KOA风寒湿痹证素评分≥12分对WOMAC评分、WORMS均具有正向影响(β=42.86,P=0.000;β=6.89,P=0.018);排除年龄、性别、体质量指数的影响后,KOA风寒湿痹证素评分≥12分对WOMAC评分具有正向影响(β=24.13,P=0.016),对WORMS无影响(β=4.87,P=0.120)。结论:KOA风寒湿痹证素评分与KOA的病情严重程度呈正相关,KOA风寒湿痹证素评分≥12分可提示KOA患者病情较重。 Objective:To explore the correlation between the syndrome element score of wind-cold-dampness arthralgia and the severity of knee osteoarthritis(KOA).Methods:The medical records of patients were selected from the previous cohort trial of wind-cold-dampness arthralgia conducted by research group;and the information about gender,age,body mass index(BMI),traditional Chinese medicine(TCM)syndrome,Western Ontario and McMaster Universities osteoarthritis index(WOMAC)score and whole-organ magnetic resonance imaging score(WORMS)was extracted from the medical records.A syndrome element scoring scale including 25 TCM syndrome entry of KOA wind-cold-dampness arthralgia was developed,and the syndrome elements of the included patients were scored.The correlations between KOA wind-cold-dampness arthralgia syndrome element score and WOMAC score as well as between KOA wind-cold-dampness arthralgia syndrome element score and WORMS were analyzed.Results:①One hundred and two KOA patients were included in the study,and they consisted of 22 males and 80 females and ranged in age from 47 to 73 years(Median=61 yrs),BMI from 17.87 to 31.14 kg/m(2)(Median=23.43 kg/m(2)),KOA wind-cold-dampness arthralgia syndrome element score from 0 to 21 points(Median=7 points),WOMAC score from 0 to 159.4 points(Median=39.7 points)and WORMS from 6 to 60 points(Median=18.75 points).②The results of correlation analysis revealed that the KOA wind-cold-dampness arthralgia syndrome element score was positively correlated with WOMAC score and WORMS respectively(r=0.495,P=0.000;r=0.243,P=0.014).After excluding the influences of age,gender and BMI,the KOA wind-cold-dampness arthralgia syndrome element score was positively correlated with WOMAC score(r=0.419,P=0.000)and had no correlation with WORMS(r=0.163,P=0.108).③The results of regression analysis showed that the KOA wind-cold-dampness arthralgia syndrome element score of≥12 points had a positive effect on both WOMAC score and WORMS(β=42.86,P=0.000;β=6.89,P=0.018).After excluding the influences of age,gender and BMI,the KOA wind-cold-dampness arthralgia syndrome element score of≥12 points had a positive effect on WOMAC score(β=24.13,P=0.016),but no effect on WORMS(β=4.87,P=0.120).Conclusion:The KOA wind-cold-dampness arthralgia syndrome element score is positively correlated with the severity of KOA,and the KOA wind-cold-dampness arthralgia syndrome element score of≥12 points may indicate a severe condition in KOA patients.
作者 王林 徐勤光 蒋鼎 谭则成 王学宗 申安平 陈博 庞坚 詹红生 曹月龙 WANG Lin;XU Qinguang;JIANG Ding;TAN Zecheng;WANG Xuezong;SHEN Anping;CHEN Bo;PANG Jian;ZHAN Hongsheng;CAO Yuelong(Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
出处 《中医正骨》 2023年第9期8-11,共4页 The Journal of Traditional Chinese Orthopedics and Traumatology
基金 国家自然科学基金项目(81973874,81373665,82274553) 上海市2020年度“科技创新行动计划”医学创新研究专项项目(20MC1920600)。
关键词 骨关节炎 痹证 风寒湿痹 证候 因素分析 统计学 osteoarthritis,knee arthromyodynia wind-cold-dampness arthralgia syndrome complex factor analysis,statistical
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