Department of Physiotherapy, Singapore General Hospital, Singapore.
Department of Orthopaedic Surgery, Singapore General Hospital, Singapore.
Arch Phys Med Rehabil. 2019 Nov;100(11):2106-2112. doi: 10.1016/j.apmr.2019.04.018. Epub 2019 May 30.
To develop a prediction model for postoperative day 3 mobility limitations in patients undergoing total knee arthroplasty (TKA).
Prospective cohort study.
Inpatients in a tertiary care hospital.
A sample of patients (N=2300) who underwent primary TKA in 2016-2017.
Not applicable.
Candidate predictors included demographic variables and preoperative clinical and psychosocial measures. The outcome of interest was mobility limitations on post-TKA day 3, and this was determined a priori by an ordinal mobility outcome hierarchy based on the type of the gait aids prescribed and the level of physiotherapist assistance provided. To develop the model, we fitted a multivariable proportional odds regression model with bootstrap internal validation. We used a model approximation approach to create a simplified model that approximated predictions from the full model with 95% accuracy.
On post-TKA day 3, 11% of patients required both walkers and therapist assistance to ambulate safely. Our prediction model had a concordance index of 0.72 (95% confidence interval, 0.68-0.75) when evaluating these patients. In the simplified model, predictors of greater mobility limitations included older age, greater walking aid support required preoperatively, less preoperative knee flexion range of movement, low-volume surgeon, contralateral knee pain, higher body mass index, non-Chinese race, and greater self-reported walking limitations preoperatively.
We have developed a prediction model to identify patients who are at risk for mobility limitations in the inpatient setting. When used preoperatively as part of a shared-decision making process, it can potentially influence rehabilitation strategies and facilitate discharge planning.
开发一个预测全膝关节置换术(TKA)患者术后第 3 天活动受限的模型。
前瞻性队列研究。
三级保健医院的住院病人。
2016-2017 年接受初次 TKA 的患者样本(N=2300)。
不适用。
候选预测因子包括人口统计学变量以及术前临床和心理社会措施。感兴趣的结局是 TKA 后第 3 天的活动受限程度,这是根据规定的助行器类型和提供的物理治疗师协助的程度,通过预定的序贯移动结局层次结构预先确定的。为了建立模型,我们使用带有自举内部验证的多变量比例优势回归模型进行拟合。我们使用模型近似方法创建一个简化模型,该模型以 95%的准确率近似于全模型的预测。
在 TKA 后第 3 天,11%的患者需要同时使用助行器和治疗师的协助才能安全行走。我们的预测模型在评估这些患者时的一致性指数为 0.72(95%置信区间,0.68-0.75)。在简化模型中,预测活动受限程度更大的因素包括年龄较大、术前需要更多的助行器支持、术前膝关节活动范围较小、手术医生手术量低、对侧膝关节疼痛、体重指数较高、非华裔和术前自我报告的行走受限程度较大。
我们已经开发了一种预测模型,以识别在住院环境中活动受限风险较高的患者。在术前作为共同决策过程的一部分使用时,它可能会影响康复策略并促进出院计划。