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The emerging postural instability phenotype in idiopathic Parkinson disease.
Skidmore, Frank M; Monroe, William S; Hurt, Christopher P; Nicholas, Anthony P; Gerstenecker, Adam; Anthony, Thomas; Jololian, Leon; Cutter, Gary; Bashir, Adil; Denny, Thomas; Standaert, David; Disbrow, Elizabeth A.
Afiliação
  • Skidmore FM; Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Monroe WS; Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Hurt CP; Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Nicholas AP; Department of Materials Science and Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Gerstenecker A; School of Public Health, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Anthony T; Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Jololian L; Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Cutter G; Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Bashir A; Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Denny T; Department of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Standaert D; School of Public Health, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Disbrow EA; Department of Computer and Electrical Engineering, Auburn University, Auburn, AL, USA.
NPJ Parkinsons Dis ; 8(1): 28, 2022 Mar 18.
Article em En | MEDLINE | ID: mdl-35304493
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article