Cole Michael H, Rippey Jodi, Naughton Geraldine A, Silburn Peter A
School of Exercise Science, Australian Catholic University, Banyo, Queensland, Australia.
School of Exercise Science, Australian Catholic University, Banyo, Queensland, Australia.
Arch Phys Med Rehabil. 2016 Jan;97(1):152-6. doi: 10.1016/j.apmr.2015.07.027. Epub 2015 Aug 28.
To assess whether the 16-item Activities-specific Balance Confidence scale (ABC-16) and short-form 6-item Activities-specific Balance Confidence scale (ABC-6) could predict future recurrent falls in people with Parkinson disease (PD) and to validate the robustness of their predictive capacities.
Twelve-month prospective cohort study.
General community.
People with idiopathic PD (N=79).
Clinical tests were conducted to assess symptom severity, balance confidence, and medical history. Over the subsequent 12 months, participants recorded any falls on daily fall calendars, which they returned monthly by reply paid post.
Logistic regression and receiver operating characteristic analyses estimated the sensitivities and specificities of the ABC-16 and ABC-6 for predicting future recurrent falls in this cohort, and "leave-one-out" validation was used to assess their robustness.
Of the 79 patients who completed follow-up, 28 (35.4%) fell more than once during the 12-month period. Both the ABC-16 and ABC-6 were significant predictors of future recurrent falls, and moderate sensitivities (ABC-16: 75.0%; ABC-6: 71.4%) and specificities (ABC-16: 76.5%; ABC-6: 74.5%) were reported for each tool for a cutoff score of 77.5 and 65.8, respectively.
The results have significant implications and demonstrate that the ABC-16 and ABC-6 independently identify patients with PD at risk of future recurrent falls.
评估16项特定活动平衡信心量表(ABC - 16)和简版6项特定活动平衡信心量表(ABC - 6)能否预测帕金森病(PD)患者未来的反复跌倒情况,并验证其预测能力的稳健性。
为期12个月的前瞻性队列研究。
一般社区。
特发性帕金森病患者(N = 79)。
进行临床测试以评估症状严重程度、平衡信心和病史。在随后的12个月里,参与者在每日跌倒日历上记录任何跌倒情况,并通过回邮付费邮件每月寄回。
逻辑回归和受试者工作特征分析估计了ABC - 16和ABC - 6在预测该队列未来反复跌倒方面的敏感性和特异性,并采用“留一法”验证来评估其稳健性。
在完成随访的79例患者中,28例(35.4%)在12个月期间跌倒不止一次。ABC - 16和ABC - 6都是未来反复跌倒的显著预测指标,对于截断分数分别为77.5和65.8时,每种工具的敏感性(ABC - 16:75.0%;ABC - 6:71.4%)和特异性(ABC - 16:76.5%;ABC - 6:74.5%)均有报道。
这些结果具有重要意义,并表明ABC - 16和ABC - 6能够独立识别有未来反复跌倒风险的帕金森病患者。