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Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures

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 Progress...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839498/
https://www.ncbi.nlm.nih.gov/pubmed/31450510
http://dx.doi.org/10.3233/JPD-181518
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author 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
author_facet 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
author_sort Chahine, Lana M.
collection PubMed
description 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 (β= 0.351; 95% CI = 0.146, 0.555), male gender (β= 3.090; 95% CI = 0.310, 5.869), and baseline (β= –0.199; 95% CI = –0.315, –0.082) and 1-year change (β= 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 (β= –0.6229; 95% CI = –1.2910, 0.0452), baseline (β= 7.232; 95% CI = 2.268, 12.195) and 1-year change (β= 45.918; 95% CI = 35.994,55.843) in mean striatum SBR, and 1-year change in autonomic symptom score (β= –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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spelling pubmed-68394982019-11-20 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 J Parkinsons Dis Research Report 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 (β= 0.351; 95% CI = 0.146, 0.555), male gender (β= 3.090; 95% CI = 0.310, 5.869), and baseline (β= –0.199; 95% CI = –0.315, –0.082) and 1-year change (β= 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 (β= –0.6229; 95% CI = –1.2910, 0.0452), baseline (β= 7.232; 95% CI = 2.268, 12.195) and 1-year change (β= 45.918; 95% CI = 35.994,55.843) in mean striatum SBR, and 1-year change in autonomic symptom score (β= –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. IOS Press 2019-10-11 /pmc/articles/PMC6839498/ /pubmed/31450510 http://dx.doi.org/10.3233/JPD-181518 Text en © 2019 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Report
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
Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title_full Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title_fullStr Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title_full_unstemmed Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title_short Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures
title_sort predicting progression in parkinson’s disease using baseline and 1-year change measures
topic Research Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839498/
https://www.ncbi.nlm.nih.gov/pubmed/31450510
http://dx.doi.org/10.3233/JPD-181518
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