Canning Colleen G, Paul Serene S, Nieuwboer Alice
Clinical & Rehabilitation Sciences Research Group, Faculty of Health Sciences, The University of Sydney, PO Box 170, Lidcombe, NSW 1825, Australia.
Neurodegener Dis Manag. 2014;4(3):203-21. doi: 10.2217/nmt.14.22.
Falls in people with Parkinson's disease (PD) are frequent and recurrent events with devastating and widespread consequences. Despite this, understanding of the predictive and explanatory value of fall risk factors, as well as the development and testing of interventions aimed at reducing falls, are in their infancy. This review focuses on fall prediction and risk factors that are potentially remediable with physical interventions. We show that falls can be predicted with high accuracy using a simple three-step clinical tool. Evidence from recently published randomized controlled trials supports the implementation of balance-challenging exercises in reducing falls. Larger scale trials utilizing technologically advanced monitoring methods will further elucidate those interventions most likely to be cost effective according to individual risk factor profiles.
帕金森病(PD)患者跌倒频繁且反复发生,会带来严重且广泛的后果。尽管如此,对于跌倒风险因素的预测和解释价值,以及旨在减少跌倒的干预措施的开发和测试仍处于起步阶段。本综述聚焦于通过物理干预可能可纠正的跌倒预测及风险因素。我们表明,使用一种简单的三步临床工具能够高精度地预测跌倒。最近发表的随机对照试验证据支持实施具有平衡挑战性的运动以减少跌倒。利用技术先进的监测方法进行的更大规模试验将进一步阐明根据个体风险因素概况最有可能具有成本效益的那些干预措施。