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

被引:24
|
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
相关论文
共 50 条
  • [1] Real-life gait performance as a marker for motor fluctuations: the Parkinson@home Validation study
    Evers, L.
    Raykov, J.
    Badawy, R.
    Claes, K.
    Meinders, M.
    Krijthe, J.
    Heskes, T.
    Little, M.
    Bloem, B.
    [J]. MOVEMENT DISORDERS, 2019, 34 : S341 - S342
  • [2] Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study
    Evers, Luc J. W.
    Raykov, Yordan P.
    Krijthe, Jesse H.
    de Lima, Ana Ligia Silva
    Badawy, Reham
    Claes, Kasper
    Heskes, Tom M.
    Little, Max A.
    Meinders, Marjan J.
    Bloem, Bastiaan R.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (10)
  • [3] Impact of motor and non-motor fluctuations on quality of life in patients affected by Parkinson's disease
    Orofino, G.
    Solla, P.
    Cannas, A.
    Mascia, M. M.
    [J]. EUROPEAN JOURNAL OF NEUROLOGY, 2014, 21 : 661 - 661
  • [4] Impact of motor and non-motor fluctuations on quality of life in patients affected by Parkinson's disease
    Orofino, G.
    Solla, P.
    Cannas, A.
    Mascia, M. M.
    [J]. JOURNAL OF NEUROLOGY, 2014, 261 : S428 - S428
  • [5] Clinical effect of Safinamide in patients with Parkinson's Disease with motor fluctuations and freezing of gait
    Machio Castello, M.
    Oses, M.
    Garcia Ruiz, P. J.
    [J]. EUROPEAN JOURNAL OF NEUROLOGY, 2018, 25 : 125 - 125
  • [6] Gait Partitioning Methods in Parkinson's Disease Patients with Motor Fluctuations: A Comparative Analysis
    Mileti, I.
    Germanotta, M.
    Alcaro, S.
    Pacilli, A.
    Imbimbo, I.
    Petracca, M.
    Erra, C.
    Di Sipio, E.
    Aprile, I.
    Rossi, S.
    Bentivoglio, A. R.
    Padua, L.
    Palermo, E.
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2017, : 402 - 407
  • [7] Quality of life in early Parkinson's disease: Impact of dyskinesias and motor fluctuations
    Marras, C
    Lang, A
    Krahn, M
    Tomlinson, G
    Naglie, G
    [J]. MOVEMENT DISORDERS, 2004, 19 (01) : 22 - 28
  • [8] Motor Fluctuations in a Real-World Sample of Patients with Parkinson's Disease
    Serbin, M.
    Odak, S.
    Macahilig, C.
    Joshi, N.
    Shah, A.
    Ng, X.
    Olson, K.
    Liang, G.
    Klepitskaya, O.
    Yonan, C.
    [J]. MOVEMENT DISORDERS, 2020, 35 : S142 - S142
  • [9] Motor fluctuations and quality of life in Parkinson's disease
    Chapuis, S
    Metz, O
    Gerbaud, L
    Durif, F
    [J]. MOVEMENT DISORDERS, 2002, 17 : S116 - S116
  • [10] Efficacy of zonisamide in advanced Parkinson's disease: Impact in quality of life and motor fluctuations
    Borrue-Fernandez, C.
    Ortega, M. A.
    Barbosa, C.
    Miralles, A.
    [J]. MOVEMENT DISORDERS, 2011, 26 : S121 - S122