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INTRODUCTION: Functional dependency in basic activities of daily living (ADLs) is a key outcome in Parkinson's disease (PD). We aimed to define dependency in PD, using the original and MDS versions of the Unified Parkinson's Disease Rating Scale (UPDRS). METHODS: We developed two algorithms to define dependency from items of UPDRS Part 2 and MDS-UPDRS Part 2 relating to basic ADLs (feeding, dressing, hygiene and walking, and getting out of a chair). We validated both algorithms using data from 1110 patients from six community-based PD incidence cohorts, testing concurrent validity, convergent validity, and predictive validity. RESULTS: Our optimal algorithm showed high specificity and moderate to high sensitivity versus Schwab & England <80% (specificity 95% [95% confidence interval (CI) 93-97] and sensitivity 65% [95% CI 55-73] at baseline; 88% [95% CI 85-91] and 85% [95% CI 79-97] respectively at five-years follow-up). Convergent validity was demonstrated by strong associations between dependency defined by the algorithm and cognition (MMSE), quality of life (PDQ39), and impairment (UPDRS part 3) (all p 

Original publication

DOI

10.1016/j.parkreldis.2020.05.034

Type

Journal article

Journal

Parkinsonism Relat Disord

Publication Date

07/2020

Volume

76

Pages

49 - 53

Keywords

Dependency, Measurement scales, Parkinson's disease, Validation, Aged, Algorithms, Cohort Studies, Female, Functional Status, Humans, Male, Mental Status and Dementia Tests, Middle Aged, Parkinson Disease, Reproducibility of Results, Sensitivity and Specificity