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老年人的神经步态异常与跌倒风险。

Neurological gait abnormalities and risk of falls in older adults.

机构信息

Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, 1165 Morris Park Avenue, Room 301, Bronx, NY 10461, USA.

出版信息

J Neurol. 2010 Mar;257(3):392-8. doi: 10.1007/s00415-009-5332-y. Epub 2009 Sep 26.

Abstract

To estimate the validity of neurological gait evaluations in predicting falls in older adults. We studied 632 adults age 70 and over (mean age 80.6 years, 62% women) enrolled in the Einstein Aging Study whose walking patterns were evaluated by study clinicians using a clinical gait rating scale. Association of neurological gaits and six subtypes (hemiparetic, frontal, Parkinsonian, unsteady, neuropathic, and spastic) with incident falls was studied using generalized estimation equation procedures adjusted for potential confounders, and reported as risk ratio with 95% confidence intervals (CI). Over a mean follow-up of 21 months, 244 (39%) subjects fell. Mean fall rate was 0.47 falls per person year. At baseline, 120 subjects were diagnosed with neurological gaits. Subjects with neurological gaits were at increased risk of falls (risk ratio 1.49, 95% CI 1.11-2.00). Unsteady (risk ratio 1.52, 95% CI 1.04-2.22), and neuropathic gait (risk ratio 1.94, 95% CI 1.07-3.11) were the two gait subtypes that predicted risk of falls. The results remained significant after accounting for disability and cognitive status, and also with injurious falls as the outcome. Neurological gaits and subtypes are independent predictors of falls in older adults. Neurological gait assessments will help clinicians identify and institute preventive measures in older adults at high risk for falls.

摘要

为了评估神经步态评估在预测老年人跌倒中的有效性。我们研究了 632 名年龄在 70 岁及以上的成年人(平均年龄 80.6 岁,62%为女性),他们的行走模式由研究临床医生使用临床步态评分量表进行评估。使用广义估计方程程序调整潜在混杂因素后,研究了神经步态和六种亚型(偏瘫、额、帕金森、不稳定、神经病变和痉挛)与新发跌倒的关联,并报告为风险比和 95%置信区间(CI)。在平均 21 个月的随访中,244 名(39%)受试者跌倒。平均跌倒率为 0.47 人年。在基线时,有 120 名受试者被诊断为神经步态。有神经步态的受试者跌倒风险增加(风险比 1.49,95%CI 1.11-2.00)。不稳定(风险比 1.52,95%CI 1.04-2.22)和神经病变步态(风险比 1.94,95%CI 1.07-3.11)是预测跌倒风险的两种步态亚型。在考虑残疾和认知状态后,以及将受伤性跌倒作为结果时,结果仍然显著。神经步态和亚型是老年人跌倒的独立预测因素。神经步态评估将帮助临床医生识别和实施高跌倒风险的老年人的预防措施。

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Quantitative gait markers and incident fall risk in older adults.老年人的定量步态指标与跌倒风险
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