Impact of motor fluctuations on real-life gait in Parkinson's patients

被引:28
作者
Silva de Lima, Ana Ligia [1 ,2 ]
Evers, Luc J. W. [1 ,3 ]
Hahn, Tim [1 ]
de Vries, Nienke M. [1 ]
Daeschler, Margaret [4 ]
Boroojerdi, Babak [5 ]
Terricabras, Dolors [6 ]
Little, Max A. [7 ,8 ]
Bloem, Bastiaan R. [1 ]
Faber, Marjan J. [1 ,9 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Donders Inst Brain Cognit & Behav, Dept Neurol, Nijmegen, Netherlands
[2] Minist Educ Brazil, CAPES Fdn, Brasilia, DF, Brazil
[3] Inst Comp & Informat Sci, Nijmegen, Netherlands
[4] Michael J Fox Fdn Parkinsons Res, New York, NY USA
[5] UCB Biopharma, Monheim, Germany
[6] UCB Biopharma Slough, Slough, Berks, England
[7] Aston Univ, Birmingham, W Midlands, England
[8] MIT, Media Lab, Cambridge, MA 02139 USA
[9] Radboud Univ Nijmegen, Med Ctr, Radboud Inst Hlth Sci, Sci Ctr Qual Healthcare, Nijmegen, Netherlands
关键词
Parkinson's disease; Ambulatory monitoring; Gait quantity; Wearable devices; Motor fluctuations; PHYSICAL-ACTIVITY; DISEASE; LEVODOPA; COMPLICATIONS; SYMPTOMS; PEOPLE;
D O I
10.1016/j.gaitpost.2018.03.045
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: People with PD (PWP) have an increased risk of becoming inactive. Wearable sensors can provide insights into daily physical activity and walking patterns. Research questions: (1) Is the severity of motor fluctuations associated with sensor-derived average daily walking quantity? (2) Is the severity of motor fluctuations associated with the amount of change in sensor-derived walking quantity after levodopa intake? Methods: 304 Dutch PWP from the Parkinson@Home study were included. At baseline, all participants received a clinical examination. During the follow-up period (median: 97 days; 25-Interquartile range-IQR: 91 days, 75-IQR: 188 days), participants used the Fox Wearable Companion app and streamed smartwatch accelerometer data to a cloud platform. The first research question was assessed by linear regression on the sensor-derived mean time spent walking/day with the severity of fluctuations (MDS-UPDRS item 4.4) as independent variable, controlled for age and MDS-UPDRS part-III score. The second research question was assessed by linear regression on the sensor-derived mean post-levodopa walking quantity, with the sensor-derived mean pre-levodopa walking quantity and severity of fluctuations as independent variables, controlled for mean time spent walking per day, age and MDS-UPDRS part-III score. Results: PWP spent most time walking between 8am and 1pm, summing up to 72 +/- 39 (mean +/- standard deviation) minutes of walking/day. The severity of motor fluctuations did not influence the mean time spent walking (B = 2.4 +/- 1.9, p = 0.20), but higher age (B = -1.3 +/- 0.3, p = < 0.001) and greater severity of motor symptoms (B = -0.6 +/- 0.2, p < 0.001) was associated with less time spent walking (F(3216) = 14.6, p < .001, R-2 = .17). The severity of fluctuations was not associated with the amount of change in time spent walking in relation to levodopa intake in any part of the day. Significance: Analysis of sensor-derived gait quantity suggests that the severity of motor fluctuations is not associated with changes in real-life walking patterns in mildly to moderate affected PWP.
引用
收藏
页码:388 / 394
页数:7
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