The emerging postural instability phenotype in idiopathic Parkinson disease.


Journal

NPJ Parkinson's disease
ISSN: 2373-8057
Titre abrégé: NPJ Parkinsons Dis
Pays: United States
ID NLM: 101675390

Informations de publication

Date de publication:
18 Mar 2022
Historique:
received: 22 08 2020
accepted: 01 02 2022
entrez: 19 3 2022
pubmed: 20 3 2022
medline: 20 3 2022
Statut: epublish

Résumé

Identification of individuals at high risk for rapid progression of motor and cognitive signs in Parkinson disease (PD) is clinically significant. Postural instability and gait dysfunction (PIGD) are associated with greater motor and cognitive deterioration. We examined the relationship between baseline clinical factors and the development of postural instability using 5-year longitudinal de-novo idiopathic data (n = 301) from the Parkinson's Progressive Markers Initiative (PPMI). Logistic regression analysis revealed baseline features associated with future postural instability, and we designated this cohort the emerging postural instability (ePI) phenotype. We evaluated the resulting ePI phenotype rating scale validity in two held-out populations which showed a significantly higher risk of postural instability. Emerging PI phenotype was identified before onset of postural instability in 289 of 301 paired comparisons, with a median progression time of 972 days. Baseline cognitive performance was similar but declined more rapidly in ePI phenotype. We provide an ePI phenotype rating scale (ePIRS) for evaluation of individual risk at baseline for progression to postural instability.

Identifiants

pubmed: 35304493
doi: 10.1038/s41531-022-00287-x
pii: 10.1038/s41531-022-00287-x
pmc: PMC8933561
doi:

Types de publication

Journal Article

Langues

eng

Pagination

28

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS083620
Pays : United States
Organisme : U.S. Department of Health & Human Services | National Institutes of Health (NIH)
ID : K23NS083620

Informations de copyright

© 2022. The Author(s).

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Auteurs

Frank M Skidmore (FM)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.

William S Monroe (WS)

Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Department of Materials Science and Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
School of Public Health, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.

Christopher P Hurt (CP)

Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.

Anthony P Nicholas (AP)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.

Adam Gerstenecker (A)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.

Thomas Anthony (T)

Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.

Leon Jololian (L)

Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.

Gary Cutter (G)

School of Public Health, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.

Adil Bashir (A)

Department of Computer and Electrical Engineering, Auburn University, Auburn, AL, USA.

Thomas Denny (T)

Department of Computer and Electrical Engineering, Auburn University, Auburn, AL, USA.

David Standaert (D)

Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.

Elizabeth A Disbrow (EA)

Department of Neurology, Center for Brain Health, Louisiana State University Health Sciences Center, Shreveport, LA, USA. elizabeth.disbrow@lsuhs.edu.

Classifications MeSH