Mactier Karen, Lord Sue, Godfrey Alan, Burn David, Rochester Lynn
Institute of Neuroscience, Newcastle University, NE4 5PL, UK.
Parkinsonism Relat Disord. 2015 Mar;21(3):236-42. doi: 10.1016/j.parkreldis.2014.12.014. Epub 2014 Dec 24.
Few studies have categorized falls in early Parkinson's disease (PD) and little is known about falls incidence and evolution. Fall incidence and frequency are reported to be 'U' shaped with respect to disease severity and may be influenced by time spent engaged in ambulatory activity.
Twelve months prospective falls in an incident PD cohort (n = 111) were reported and the relationship between falls and ambulatory activity was examined in a subgroup (n = 83). Fall events were collected using standardised protocols and were categorized by fall frequency (non-faller, single fall, recurrent falls) and also by a novel classification based on pre-fall event: (1) engaged in advanced activity; (2) ambulation; and (3) transition. Non-parametric statistics compared groups in both classifications.
At baseline 23 (20.7%) of the cohort had fallen, increasing to 41 (36.9%) participants over 12 months. Total time spent walking was significantly lower for transition fallers compared with non-fallers and ambulation fallers (p = 0.041), who also had significantly increased disease severity. There were no significant relationships when fallers were categorized by frequency. We present an inverted U curve model depicting the relationship between falls and activity over time in PD, and propose that at this stage transition and ambulation fallers occupy different places on the curve.
Falls are more common than recognised in newly-diagnosed PD. Daily activity is reduced even in early disease for people who fall during transitions. Classification methods that take pre-fall event into account may be useful to understand the heterogeneity of this complex problem.
很少有研究对早期帕金森病(PD)患者的跌倒情况进行分类,对跌倒发生率及病情演变了解甚少。据报道,跌倒发生率和频率与疾病严重程度呈“U”形关系,且可能受步行活动时间的影响。
报告了新发PD队列(n = 111)中12个月的前瞻性跌倒情况,并在一个亚组(n = 83)中研究了跌倒与步行活动之间的关系。使用标准化方案收集跌倒事件,并按跌倒频率(未跌倒者、单次跌倒、反复跌倒)以及基于跌倒前事件的新分类方法进行分类:(1)进行高级活动时;(2)步行时;(3)转换姿势时。采用非参数统计方法对两种分类中的组间情况进行比较。
在基线时,该队列中有23名(20.7%)患者发生过跌倒,12个月内这一数字增至41名(36.9%)参与者。与未跌倒者和步行时跌倒者相比,转换姿势时跌倒者的总步行时间显著缩短(p = 0.041),且疾病严重程度也显著增加。按跌倒频率对跌倒者进行分类时,未发现显著相关性。我们提出了一个倒“U”形曲线模型,描述了PD患者跌倒与活动随时间的关系,并提出在这个阶段,转换姿势时跌倒者和步行时跌倒者在曲线上处于不同位置。
跌倒在新诊断的PD患者中比我们认识到的更为常见。对于在转换姿势时跌倒的患者,即使在疾病早期日常活动也会减少。考虑跌倒前事件的分类方法可能有助于理解这一复杂问题的异质性。