Differential Gait Decline in Parkinson's Disease Enhances Discrimination of Gait Freezers from Non-Freezers

被引:11
作者
Glover, Aliyah [1 ]
Pillai, Lakshmi [1 ]
Doerhoff, Shannon [1 ]
Virmani, Tuhin [1 ,2 ]
机构
[1] Univ Arkansas Med Sci, Dept Neurol, Little Rock, AR 72205 USA
[2] Univ Arkansas Med Sci, Ctr Translat Neurosci, Little Rock, AR 72205 USA
关键词
Freezing of gait; gait; falls; Parkinson's disease; predictive modeling; POSTURAL CONTROL; PROGRESSION; LEVODOPA; QUESTIONNAIRE; IMPACT; FALLS; VARIABILITY; VALIDATION; DIAGNOSIS; DISORDER;
D O I
10.3233/JPD-201961
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Freezing of gait (FOG) is a debilitating feature of Parkinson's disease (PD) for which treatments are limited. To develop neuroprotective strategies, determining whether disease progression is different in phenotypic variants of PD is essential. Objective: To determine if freezers have a faster decline in spatiotemporal gait parameters. Methods: Subjects were enrolled in a longitudinal study and assessed every 3-6 months. Continuous gait in the levodopa ON-state was collected using a gait mat (Protokinetics). The slope of change/year in spatiotemporal gait parameters was calculated. Results: 26 freezers, 31 non-freezers, and 25 controls completed an average of 6 visits over 28 months. Freezers had a faster decline in mean stride-length, stride-velocity, swing-%, single-support-%, and variability in single-support-% compared to non-freezers (p < 0.05). Gait decline was not correlated with initial levodopa dose, duration of levodopa therapy, change in levodopa dose or change in Montreal Cognitive Assessment scores (p > 0.25). Gait progression parameters were required to obtain 95% accuracy in categorizing freezers and non-freezers groups in a forward step-wise binary regression model. Change in mean stride-length, mean stride-width, and swing-% variability along with initial foot-length variability, mean swing-% and apathy scores were significant variables in the model. Conclusion: Freezers had a faster temporal decline in objectively quantified gait, and inclusion of longitudinal gait changes in a binary regression model greatly increased categorization accuracy. Levodopa dosing, cognitive decline and disease severity were not significant in our model. Early detection of this differential decline may help define freezing prone groups for testing putative treatments.
引用
收藏
页码:1657 / 1673
页数:17
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