Department of Orthopaedics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Department of Orthopaedics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
J Orthop Sci. 2021 Sep;26(5):779-785. doi: 10.1016/j.jos.2020.08.017. Epub 2020 Oct 24.
Falling is one of the main reasons for which older adults require nursing care. Locomotive syndrome (LS) predicts the need for nursing care; however, the relationship between falling and LS remains unclarified. This study aimed to determine whether the 5-question Geriatric Locomotive Function Scale (GLFS-5) predicts postoperative fall risk in patients with degenerative cervical myelopathy (DCM).
This study is a post hoc analysis of the data from a prospective cohort of patients undergoing surgery for DCM. Participants recorded their falls in a fall diary from the time of study enrollment (baseline) to 1 year postoperatively. Functional assessments were conducted at baseline, hospital admission for surgery, and 1 year postoperatively. Outcome measures included the GLFS-5, Japanese Orthopaedic Association score, Neck Disability Index, EuroQol 5 Dimensions, and 12-Item Short Form Health Survey. Risk factors for falls were investigated, including previous falls, number of medications, and grip strength. Fallers were divided into two categories: all fallers (≥1 falls), and recurrent fallers (≥2 falls). Variables that were significant in univariate analyses were applied in multiple logistic regression models to adjust for confounders.
From the initial group of 168 participants, 159 attended the 1-year follow-up, and 132 fall diaries were retrieved and analyzed. Of these 132 patients, 42 (32%) reported at least one fall, while 25 (19%) reported recurrent falls during the postoperative observation period. The GLFS-5 significantly increased from baseline to admission, and significantly decreased from admission to 1 year postoperatively. In multiple logistic regression analysis, the independent predictors of postoperative recurrent falls were previous falls and a higher baseline GLFS-5. The optimal cut-off value of GLFS-5 for predicting all falls/recurrent falls was 12.
The GLFS-5 reflected time-dependent functional changes in patients undergoing surgery for DCM. Previous falls and a higher baseline GLFS-5 were independent predictors of postoperative recurrent falls.
跌倒 是老年人需要护理的主要原因之一。运动能力低下综合征(LS)可预测护理需求,但跌倒与 LS 的关系尚不清楚。本研究旨在确定 5 项老年运动功能量表(GLFS-5)是否可预测退行性颈脊髓病(DCM)患者术后跌倒风险。
这是一项对接受 DCM 手术的前瞻性队列患者数据的事后分析。参与者从研究入组(基线)到术后 1 年期间在跌倒日记中记录跌倒情况。基线、手术住院期间和术后 1 年均进行功能评估。结局测量包括 GLFS-5、日本矫形协会评分、颈部残疾指数、EuroQol 5 维度、12 项简明健康调查。对跌倒的危险因素进行了调查,包括既往跌倒史、用药数量和握力。将跌倒者分为两类:所有跌倒者(≥1 次跌倒)和复发性跌倒者(≥2 次跌倒)。单变量分析中显著的变量被应用于多变量逻辑回归模型中,以调整混杂因素。
在最初的 168 名参与者中,有 159 名参加了 1 年的随访,共取回并分析了 132 份跌倒日记。在这 132 名患者中,42 名(32%)报告至少发生了 1 次跌倒,而 25 名(19%)报告在术后观察期间发生了复发性跌倒。GLFS-5 从基线到住院期间显著增加,从住院到术后 1 年显著降低。多变量逻辑回归分析显示,术后复发性跌倒的独立预测因素是既往跌倒和较高的基线 GLFS-5。预测所有跌倒/复发性跌倒的最佳 GLFS-5 截断值为 12。
GLFS-5 反映了接受 DCM 手术治疗的患者手术期间的功能变化。既往跌倒和较高的基线 GLFS-5 是术后复发性跌倒的独立预测因素。