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预测全膝关节置换术的长期疗效。

Predicting the longer term outcomes of total knee arthroplasty.

作者信息

Gandhi Rajiv, Dhotar Herman, Razak Fahad, Tso Peggy, Davey J Roderick, Mahomed Nizar N

机构信息

Division of Orthopedic Surgery, University of Toronto, Toronto ON, Canada M5T 2S8.

出版信息

Knee. 2010 Jan;17(1):15-8. doi: 10.1016/j.knee.2009.06.003. Epub 2009 Jul 8.

Abstract

We asked the question of what are the patient level predictors (age, gender, body mass index, education, ethnicity, mental health, and comorbidity) for a sustained functional benefit at a minimum of 1 year follow-up after total knee arthroplasty(TKA). Five hundred fifty-one consecutive patients were reviewed from our joint registry between the years of 1998 and 2005. Baseline demographic data and the outcome scores of the Western Ontario McMaster University Osteoarthritis Index (WOMAC) and Medical Outcomes Short-Form 36 (SF36) scores were extracted from the database. Longitudinal regression modeling was performed to identify the predictive factors of interest. We had 27% of data points missing. The mean follow-up in our cohort was 3.0 years (range 1-8 years) and there were no revisions performed during this time. Clinical outcome scores were found to be relatively constant for 3-4 years after surgery and then demonstrated a gradual decline after that. Older age, year of follow-up, greater comorbidity, and a poorer mental health state at time of surgery were identified as negative prognostic factors for a sustained functional outcome following TKR (P<0.05). Knowledge of these factors that predict outcomes should be used in setting appropriate patient expectations of surgery.

摘要

我们提出了这样一个问题

全膝关节置换术(TKA)后至少1年随访中获得持续功能益处的患者层面预测因素(年龄、性别、体重指数、教育程度、种族、心理健康和合并症)有哪些?我们从1998年至2005年期间的关节登记处回顾了551例连续患者。从数据库中提取了基线人口统计学数据以及西安大略和麦克马斯特大学骨关节炎指数(WOMAC)和医学结局简表36(SF36)评分的结果分数。进行纵向回归建模以确定感兴趣的预测因素。我们有27%的数据点缺失。我们队列的平均随访时间为3.0年(范围1 - 8年),在此期间没有进行翻修手术。发现临床结局分数在术后3 - 4年内相对稳定,之后逐渐下降。年龄较大、随访年份、合并症较多以及手术时心理健康状态较差被确定为TKR后持续功能结局的负面预后因素(P<0.05)。这些预测结局的因素的相关知识应用于设定患者对手术的适当期望。

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