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| Influence factor analysis of using ordinal ploytomous logistic regression in prognosis of knee osteoarthritis patients |
| Xu Zejie, Xu Xuemeng |
| GuangDong Second Traditional Chinese Medicine Hospital, Guangzhou 510095, China |
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Abstract 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.
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| ［1］潘雪璟，王伟钢．膝骨关节炎的中医研究进展［J］．风湿病与关节炎，2016，5(12)：74-77．
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［4］史永涛，白东昱，曹博．全膝关节置换术治疗重度膝骨关节炎的临床疗效［J］．实用骨科杂志，2018，24(9)：778-781．
[5]卢岩岩，许学猛，刘文刚，等．膝骨关节炎患者本体感觉的影响因素分析［J］．实用医学杂志，2018，34(16)：2726-2728． |
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