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Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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Free-living digital mobility outcomes in Parkinson’s disease patients with and without freezing of gait: what can they tell us?

P. Ginis, E. Gazit, C. Schlenstedt, H. Gassner, C. Hansen, A. Mirelman, L. Alcock, C. Becker, J. Aymerich, L. Rivera, C. Kirk, H. Hunter, I. Neatrour, J. Kudelka, H. Hildesheim, P. Goerrissen, M. Gordon, L. Delgado, B. Caulfield, M. Long, M. Gilat, L. Rochester, A. Yarnall, W. Maetzler, J. Hausdorff, A. Nieuwboer (Leuven, Belgium)

Meeting: 2024 International Congress

Abstract Number: 1249

Keywords: Gait disorders: Clinical features, Parkinson’s, Rehabilitation

Category: Technology

Objective: I) To compare digital mobility outcomes (DMOs) of free-living gait quality and quantity obtained over one week between people with Parkinson’s disease (PwPD) who experience freezing of gait (freezers) and those without (non-freezers). II) To assess if DMOs provide better biomarkers for freezer classification than clinical tests.

Background: Freezers typically walk slower with shorter steps and higher step-to-step variability than non-freezers when tested in the laboratory. It is still unknown if these deficits are worse during free-living gait and whether freezers have reduced everyday gait quantity.

Method: 531 PwPD from the Mobilise-D study were included and classified as freezers based on self-report (NFOG-Q>0). An array of DMO features were obtained from a lower-back wearable device and averaged over 7 consecutive days. Clinical gait tests included the Timed Up and go (TUG) and the 6 minute walk test ON medication. Independent T-tests compared freezers with non-freezers on demographics, clinical tests and average DMOs. ROC analysis AUC was applied to identify the best DMO biomarker and compare it to clinical tests.

Results: 106 freezers and 425 non-freezers were identified. Groups had similar age and gender, but freezers had higher MDS-UPDRS III and LEDD scores [Table 1]. TUG and 6 minute walk test performance was better in non-freezers than freezers [Table 1]. In line with prior lab-based measurements, freezers took shorter strides and walked slower during daily-life [Table 2]. Surprisingly, walking quantity was similar between groups with a similar daily total walking duration, number of steps and number of turns. Of all DMO metrics, bout-to-bout variability in cadence was the best FOG biomarker with high specificity of 0.88 [Figure 1], albeit with poor sensitivity of 0.32 (AUC=0.6). This was comparable to the TUG time (AUC=0.6), which was the best clinical test FOG biomarker, but with a slightly higher sensitivity (0.43) yet reduced specificity (0.76).

Conclusion: As expected, freezers walked slower and with shorter strides during daily life, but they kept walking with the same quantity. Weekly-averaged DMOs only offer a suboptimal FOG biomarker. Further analysis on daily and even hourly data is warranted and likely to provide better biomarkers for FOG.

Table 1

Table 1

Table 2

Table 2

Figure 1

Figure 1

To cite this abstract in AMA style:

P. Ginis, E. Gazit, C. Schlenstedt, H. Gassner, C. Hansen, A. Mirelman, L. Alcock, C. Becker, J. Aymerich, L. Rivera, C. Kirk, H. Hunter, I. Neatrour, J. Kudelka, H. Hildesheim, P. Goerrissen, M. Gordon, L. Delgado, B. Caulfield, M. Long, M. Gilat, L. Rochester, A. Yarnall, W. Maetzler, J. Hausdorff, A. Nieuwboer. Free-living digital mobility outcomes in Parkinson’s disease patients with and without freezing of gait: what can they tell us? [abstract]. Mov Disord. 2024; 39 (suppl 1). https://www.mdsabstracts.org/abstract/free-living-digital-mobility-outcomes-in-parkinsons-disease-patients-with-and-without-freezing-of-gait-what-can-they-tell-us/. Accessed June 15, 2025.
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