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dc.contributor.authorRamsay, N
dc.contributor.authorMacleod, AD
dc.contributor.authorAlves, G
dc.contributor.authorCamacho, M
dc.contributor.authorForsgren, L
dc.contributor.authorLawson, RA
dc.contributor.authorMaple-Grødem, J
dc.contributor.authorTysnes, OB
dc.contributor.authorWilliams-Gray, CH
dc.contributor.authorYarnall, AJ
dc.contributor.authorCounsell, CE
dc.contributor.authorRachael A Lawson
dc.contributor.authorGuido Alves, S
dc.contributor.authorKhoo, TK
dc.contributor.authoret al.
dc.date.accessioned2020-11-04T03:53:07Z
dc.date.available2020-11-04T03:53:07Z
dc.date.issued2020
dc.identifier.issn1353-8020
dc.identifier.doi10.1016/j.parkreldis.2020.05.034
dc.identifier.urihttp://hdl.handle.net/10072/398957
dc.description.abstractIntroduction: 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 < 0.001). Algorithm-defined dependency status also predicted mortality: HR for mortality in those dependent vs independent at baseline was 1.6 (95%CI 1.2–2.1) and in those dependent vs independent at five-years’ follow-up was 2.2 (1.6–3.0). Discussion: We have demonstrated the concurrent validity, convergent validity, and predictive validity of a UPDRS-/MDS-UPDRS-based algorithm to define functional dependency in PD. This can be used for studying dependency in any study where UPDRS or MDS-UPDRS part 2 data have been collected.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom49
dc.relation.ispartofpageto53
dc.relation.ispartofjournalParkinsonism and Related Disorders
dc.relation.ispartofvolume76
dc.subject.fieldofresearchClinical sciences
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode3202
dc.subject.fieldofresearchcode5204
dc.titleValidation of a UPDRS-/MDS-UPDRS-based definition of functional dependency for Parkinson's disease
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationRamsay, N; Macleod, AD; Alves, G; Camacho, M; Forsgren, L; Lawson, RA; Maple-Grødem, J; Tysnes, OB; Williams-Gray, CH; Yarnall, AJ; Counsell, CE; Rachael A Lawson, ; Guido Alves, S; Khoo, TK, Validation of a UPDRS-/MDS-UPDRS-based definition of functional dependency for Parkinson's disease, Parkinsonism and Related Disorders, 2020, 76, pp. 49-53
dc.date.updated2020-11-04T03:49:51Z
gro.hasfulltextNo Full Text
gro.griffith.authorKhoo, Tien Kheng


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