Pua Yong-Hao, Clark Ross A, Ong Peck-Hoon
Department of Physiotherapy, Singapore General Hospital, Singapore, Singapore.
School of Exercise Science, Australian Catholic University, Melbourne, Australia.
PLoS One. 2015 Jan 23;10(1):e0117124. doi: 10.1371/journal.pone.0117124. eCollection 2015.
To provide proof-of-concept for the validity of the Wii Balance Board (WBB) measures to predict the type of walking aids required by inpatients with a recent (≤4 days) total knee arthroplasty (TKA).
A cross-sectional sample of 89 inpatients (mean age, 67.0±8 years) with TKA was analyzed. A multivariable proportional odds prediction model was constructed using 8 pre-specified predictors – namely, age, sex, body mass index, knee pain, knee range-of-motion, active knee lag, and WBB-derived standing balance. The type of walking aids prescribed on day 4 post-surgery was the outcome of interest – an ordinal variable with 4 categories (walking stick, narrow- and broad-base quadstick, and walking frame).
Women, increasing body mass index, and poorer standing balance were independently associated with greater odds for requiring walking aids with a larger base-of-support. The concordance-index of the prediction model was 0.74. The model comprising only WBB-derived standing balance had nearly half (44%) the explanatory power of the full model. Adding WBB-derived standing balance to conventional demographic and knee variables resulted in a continuous net reclassification index of 0.60 (95%CI,0.19-1.01), predominantly due to better identification of patients who required walking aids with a large base-of-support (sensitivity gain).
The WBB was able to provide quantitative measures of standing balance which could assist healthcare professionals in prescribing the appropriate type of walking aids for patients. Further investigation is needed to assess whether using the WBB could lead to meaningful changes in clinical outcomes such as falls.
为Wii平衡板(WBB)测量值预测近期(≤4天)全膝关节置换术(TKA)住院患者所需助行器类型的有效性提供概念验证。
分析了89例TKA住院患者(平均年龄67.0±8岁)的横断面样本。使用8个预先指定的预测因素构建多变量比例优势预测模型,即年龄、性别、体重指数、膝关节疼痛、膝关节活动范围、主动膝关节滞后以及WBB得出的站立平衡。术后第4天开具的助行器类型是感兴趣的结果,这是一个有4个类别的有序变量(手杖、窄底和宽底四脚手杖以及步行架)。
女性、体重指数增加以及站立平衡较差与需要更大支撑面助行器的更高几率独立相关。预测模型的一致性指数为0.74。仅包含WBB得出的站立平衡的模型的解释力几乎是完整模型的一半(44%)。将WBB得出的站立平衡添加到传统人口统计学和膝关节变量中,得出连续净重新分类指数为0.60(95%CI,0.19 - 1.01),主要是由于能更好地识别需要大支撑面助行器的患者(敏感性增加)。
WBB能够提供站立平衡的定量测量,这有助于医疗保健专业人员为患者开具合适类型的助行器。需要进一步研究以评估使用WBB是否会导致诸如跌倒等临床结果发生有意义的变化。