Highlights
- •We evaluated the APDM® Mobility Lab in Parkinson's disease.
- •We employed a statistical method to reduce the variables of interest.
- •We found a set of 20 variables that differentiate PD from controls.
- •Another set of 20 variables correlates with symptom severity.
- •This device may be useful for objectively tracking disease progression.
Abstract
Objective
To assess the suitability of instrumented gait and balance measures for diagnosis
and estimation of disease severity in PD.
Methods
Each subject performed iTUG (instrumented Timed-Up-and-Go) and iSway (instrumented
Sway) using the APDM® Mobility Lab. MDS-UPDRS parts II and III, a postural instability and gait disorder
(PIGD) score, the mobility subscale of the PDQ-39, and Hoehn & Yahr stage were measured
in the PD cohort. Two sets of gait and balance variables were defined by high correlation
with diagnosis or disease severity and were evaluated using multiple linear and logistic
regressions, ROC analyses, and t-tests.
Results
135 PD subjects and 66 age-matched controls were evaluated in this prospective cohort
study. We found that both iTUG and iSway variables differentiated PD subjects from
controls (area under the ROC curve was 0.82 and 0.75 respectively) and correlated
with all PD severity measures (R2 ranging from 0.18 to 0.61). Objective exam-based scores correlated more strongly
with iTUG than iSway. The chosen set of iTUG variables was abnormal in very mild disease.
Age and gender influenced gait and balance parameters and were therefore controlled
in all analyses.
Interpretation
Our study identified sets of iTUG and iSway variables which correlate with PD severity
measures and differentiate PD subjects from controls. These gait and balance measures
could potentially serve as markers of PD progression and are under evaluation for
this purpose in the ongoing NIH Parkinson Disease Biomarker Program.
Keywords
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Article info
Publication history
Published online: July 19, 2014
Accepted:
July 11,
2014
Received in revised form:
July 8,
2014
Received:
May 14,
2014
Identification
Copyright
© 2014 Elsevier B.V. Published by Elsevier Inc. All rights reserved.