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Replication and reliability of Parkinson's disease clinical subtypes.
Cash, Therese V; Lessov-Schlaggar, Christina N; Foster, Erin R; Myers, Peter S; Jackson, Joshua J; Maiti, Baijayanta; Kotzbauer, Paul T; Perlmutter, Joel S; Campbell, Meghan C.
Afiliação
  • Cash TV; Department of Neurology, Washington University School of Medicine, USA.
  • Lessov-Schlaggar CN; Department of Psychiatry, Washington University School of Medicine, USA.
  • Foster ER; Department of Neurology, Washington University School of Medicine, USA; Department of Psychiatry, Washington University School of Medicine, USA; Program in Occupational Therapy, Washington University School of Medicine, USA.
  • Myers PS; Department of Neurology, Washington University School of Medicine, USA.
  • Jackson JJ; Department of Psychological and Brain Sciences, Washington University in St. Louis, USA.
  • Maiti B; Department of Neurology, Washington University School of Medicine, USA; Department of Radiology, Washington University School of Medicine, USA.
  • Kotzbauer PT; Department of Neurology, Washington University School of Medicine, USA.
  • Perlmutter JS; Department of Neurology, Washington University School of Medicine, USA; Department of Radiology, Washington University School of Medicine, USA; Department of Neuroscience, Washington University School of Medicine, USA; Program in Occupational Therapy, Washington University School of Medicine, USA; P
  • Campbell MC; Department of Neurology, Washington University School of Medicine, USA; Department of Radiology, Washington University School of Medicine, USA. Electronic address: meghanc@wustl.edu.
Parkinsonism Relat Disord ; 124: 107016, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38838453
ABSTRACT

BACKGROUND:

We recently identified three distinct Parkinson's disease subtypes "motor only" (predominant motor deficits with intact cognition and psychiatric function); "psychiatric & motor" (prominent psychiatric symptoms and moderate motor deficits); "cognitive & motor" (cognitive and motor deficits).

OBJECTIVE:

We used an independent cohort to replicate and assess reliability of these Parkinson's disease subtypes.

METHODS:

We tested our original subtype classification with an independent cohort (N = 100) of Parkinson's disease participants without dementia and the same comprehensive evaluations assessing motor, cognitive, and psychiatric function. Next, we combined the original (N = 162) and replication (N = 100) datasets to test the classification model with the full combined dataset (N = 262). We also generated 10 random split-half samples of the combined dataset to establish the reliability of the subtype classifications. Latent class analyses were applied to the replication, combined, and split-half samples to determine subtype classification.

RESULTS:

First, LCA supported the three-class solution - Motor Only, Psychiatric & Motor, and Cognitive & Motor- in the replication sample. Next, using the larger, combined sample, LCA again supported the three subtype groups, with the emergence of a potential fourth group defined by more severe motor deficits. Finally, split-half analyses showed that the three-class model also had the best fit in 13/20 (65%) split-half samples; two-class and four-class solutions provided the best model fit in five (25%) and two (10%) split-half replications, respectively.

CONCLUSIONS:

These results support the reproducibility and reliability of the Parkinson's disease behavioral subtypes of motor only, psychiatric & motor, and cognitive & motor groups.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Parkinsonism Relat Disord Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Parkinsonism Relat Disord Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos