基于有序多分类logistic回归对膝痹患者转归影响因素的分析

Influence factor analysis of using ordinal ploytomous logistic regression in prognosis of knee osteoarthritis patients

目的 了解及分析膝痹患者临床特征及转归的影响因素.方法 对某医院2016—2018年2191例住院膝痹患者进行回顾性调查分析,内容包括患者性别、年龄、发病季节、住院天数、病情情况、治疗方式及转归情况等.采用有序多分类logistic回归模型对膝痹患者转归情况的影响因素进行分析.结果 膝痹患者夏秋季发病频率(58.2%)较高,春冬季(41.8%)较低;年龄、病情情况及治疗方式是其转归的影响因素(P<0.05),性别、发病季节和住院天数不是膝痹患者转归的影响因素(P>0.05),相比病情一般的患者,危重患者的转归情况较差(OR=0.31,P=0.01),选择膝关节表面置换术(OR=3.50,P<0.001)、膝关节注射治疗(OR=3.60,P<0.001)及微创关节镜手术(OR=1.80,P<0.001)的转归情况要优于传统治疗.结论 夏秋季应重点预防膝痹的发生,病情较轻的膝痹患者应早做治疗.

Objective To analyze the clinical features and influence factors of knee osteoarthritis patients.Methods A retrospective survey was conducted of 2 191 knee osteoarthritis patients in our hospital from 2016 to 2018,including gender,age,onset seasons,hospitalization days,case classification,and treatment methods and outcomes.Ordinal ploytomous logistic regression was used to analyze the influencing factors of the outcome of patients with knee arrhythmias.Results The incidence rates of knee osteoarthritis in summer and autumn(58.20%)were higher than those in spring and winter(41.8%).Age,case classification and treatment methods were the influence factors of the outcome(P<0.05),and gender,onset seasons and hospitalization days were not the significant influence factors of the outcome(P>0.05).Compared with general patients,critical patients had a poor prognosis(OR=0.31,P=0.01).Knee arthroplasty(OR=3.50,P<0.001),knee injection(OR=3.60,P<0.001)and arthroscopic therapy(OR=1.80,P<0.001)had better prognosis than traditional treatment.Conclusion It is important to prevent the occurrence of knee Osteoarthritis in summer and autumn and milder patients should be treated as early as possible.