Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease

D. Campbell Dewey, Svjetlana Miocinovic, Ira Bernstein, Pravin Khemani, Ross Querry, Shilpa Chitnis, Richard B. Dewey

Research output: Contribution to journalArticle

30 Citations (Scopus)

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, themobility subscale of the PDQ-39, and Hoehn & Yahr stagewere 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 controlswere evaluated in this prospective cohort study.We found that both iTUG and iSway variables differentiated PD subjects fromcontrols (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.

Original languageEnglish (US)
Pages (from-to)131-138
Number of pages8
JournalJournal of the Neurological Sciences
Volume345
Issue number1
DOIs
StatePublished - Oct 15 2014

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Gait
Parkinson Disease
ROC Curve
Area Under Curve
Linear Models
Cohort Studies
Biomarkers
Logistic Models
Regression Analysis
Prospective Studies

Keywords

  • Balance
  • Diagnosis
  • Gait
  • Mobility Lab
  • Parkinson
  • Severity

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Cite this

Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease. / Dewey, D. Campbell; Miocinovic, Svjetlana; Bernstein, Ira; Khemani, Pravin; Querry, Ross; Chitnis, Shilpa; Dewey, Richard B.

In: Journal of the Neurological Sciences, Vol. 345, No. 1, 15.10.2014, p. 131-138.

Research output: Contribution to journalArticle

Dewey, D. Campbell ; Miocinovic, Svjetlana ; Bernstein, Ira ; Khemani, Pravin ; Querry, Ross ; Chitnis, Shilpa ; Dewey, Richard B. / Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease. In: Journal of the Neurological Sciences. 2014 ; Vol. 345, No. 1. pp. 131-138.
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