4.5 Article

Gait in Mild Alzheimer's Disease: Feasibility of Multi-Center Measurement in the Clinic and Home with Body-Worn Sensors: A Pilot Study

Journal

JOURNAL OF ALZHEIMERS DISEASE
Volume 63, Issue 1, Pages 331-341

Publisher

IOS PRESS
DOI: 10.3233/JAD-171116

Keywords

Alzheimer's disease; cognition; free-living; gait; phenotyping; wearables

Categories

Funding

  1. MRC
  2. NIHR as part of Dementias Platform UK
  3. National Institute for Health Research (NIHR) Newcastle Biomedical Research Unit
  4. Newcastle Biomedical Research Centre based at Newcastle upon Tyne Hospitals NHS Foundation Trust
  5. Newcastle University
  6. Medical Research Council [MR/L023784/2, MR/L023784/1, MC_UU_00005/12, MR/N029941/1, MC_U105597119] Funding Source: researchfish
  7. National Institute for Health Research [CL-2015-13-007] Funding Source: researchfish
  8. Wellcome Trust [103838/Z/14/Z] Funding Source: researchfish
  9. MRC [MR/L023784/1, MC_UU_00005/12, MR/N029941/1, MC_U105597119, MR/L023784/2] Funding Source: UKRI

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Gait is emerging as a potential diagnostic tool for cognitive decline. The 'Deep and Frequent Phenotyping for Experimental Medicine in Dementia Study' (D& FP) is a multicenter feasibility study embedded in the United Kingdom Dementia Platform designed to determine participant acceptability and feasibility of extensive and repeated phenotyping to determine the optimal combination of biomarkers to detect disease progression and identify early risk of Alzheimer's disease (AD). Gait is included as a clinical biomarker. The tools to quantify gait in the clinic and home, and suitability for multicenter application have not been examined. Six centers from the National Institute for Health Research Translational Research Collaboration in Dementia initiative recruited 20 individuals with early onset AD. Participants wore a single wearable (tri-axial accelerometer) and completed both clinic-based and free-living gait assessment. A series of macro (behavioral) and micro (spatiotemporal) characteristics were derived from the resultant data using previously validated algorithms. Results indicate good participant acceptability, and potential for use of body-worn sensors in both the clinic and the home. Recommendations for future studies have been provided. Gait has been demonstrated to be a feasible and suitable measure, and future research should examine its suitability as a biomarker in AD.

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