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Predicting Progression in Parkinson's Disease Using Baseline and 1-Year Change Measures.
Chahine, Lana M; Siderowf, Andrew; Barnes, Janel; Seedorff, Nicholas; Caspell-Garcia, Chelsea; Simuni, Tanya; Coffey, Christopher S; Galasko, Douglas; Mollenhauer, Brit; Arnedo, Vanessa; Daegele, Nichole; Frasier, Mark; Tanner, Caroline; Kieburtz, Karl; Marek, Kenneth.
Afiliación
  • Chahine LM; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Siderowf A; Departments of Neurology Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Barnes J; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
  • Seedorff N; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
  • Caspell-Garcia C; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
  • Simuni T; Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Coffey CS; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
  • Galasko D; Department of Neurology, University of California, San Diego, CA, USA.
  • Mollenhauer B; Department of Neurology, University Medical Center Goettingen, Goettingen, Germany and Paracelsus-Elena-Klinik, Kassel, Germany.
  • Arnedo V; The Michael J. Fox Foundation, New York, NY, USA.
  • Daegele N; Institute for Neurodegenerative Disorders, New Haven, CT, USA.
  • Frasier M; The Michael J. Fox Foundation, New York, NY, USA.
  • Tanner C; Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
  • Kieburtz K; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Marek K; Institute for Neurodegenerative Disorders, New Haven, CT, USA.
J Parkinsons Dis ; 9(4): 665-679, 2019.
Article en En | MEDLINE | ID: mdl-31450510
ABSTRACT

BACKGROUND:

Improved prediction of Parkinson's disease (PD) progression is needed to support clinical decision-making and to accelerate research trials.

OBJECTIVES:

To examine whether baseline measures and their 1-year change predict longer-term progression in early PD.

METHODS:

Parkinson's Progression Markers Initiative study data were used. Participants had disease duration ≤2 years, abnormal dopamine transporter (DAT) imaging, and were untreated with PD medications. Baseline and 1-year change in clinical, cerebrospinal fluid (CSF), and imaging measures were evaluated as candidate predictors of longer-term (up to 5 years) change in Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) score and DAT specific binding ratios (SBR) using linear mixed-effects models.

RESULTS:

Among 413 PD participants, median follow-up was 5 years. Change in MDS-UPDRS from year-2 to last follow-up was associated with disease duration (ß= 0.351; 95% CI = 0.146, 0.555), male gender (ß= 3.090; 95% CI = 0.310, 5.869), and baseline (ß= -0.199; 95% CI = -0.315, -0.082) and 1-year change (ß= 0.540; 95% CI = 0.423, 0.658) in MDS-UPDRS; predictors in the model accounted for 17.6% of the variance in outcome. Predictors of percent change in mean SBR from year-2 to last follow-up included baseline rapid eye movement sleep behavior disorder score (ß= -0.6229; 95% CI = -1.2910, 0.0452), baseline (ß= 7.232; 95% CI = 2.268, 12.195) and 1-year change (ß= 45.918; 95% CI = 35.994,55.843) in mean striatum SBR, and 1-year change in autonomic symptom score (ß= -0.325;95% CI = -0.695, 0.045); predictors in the model accounted for 44.1% of the variance.

CONCLUSIONS:

Baseline clinical, CSF, and imaging measures in early PD predicted change in MDS-UPDRS and dopamine-transporter binding, but the predictive value of the models was low. Adding the short-term change of possible predictors improved the predictive value, especially for modeling change in dopamine-transporter binding.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Progresión de la Enfermedad Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Parkinsons Dis Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Progresión de la Enfermedad Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Parkinsons Dis Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos