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@article{Chahine:2019:10.3233/JPD-181518,
author = {Chahine, LM and Siderowf, A and Barnes, J and Seedorff, N and Caspell-Garcia, C and Simuni, T and Coffey, CS and Galasko, D and Mollenhauer, B and Arnedo, V and Daegele, N and Frasier, M and Tanner, C and Kieburtz, K and Marek, K and Seibyl, J and Coffey, C and Tosun-Turgut, D and Shaw, L and Trojanowski, J and Singleton, A and Toga, A and Chahine, L and Poewe, W and Foroud, T and Poston, K and Sherer, T and Chowdhury, S and Kopil, C and Casaceli, C and Dorsey, R and Wilson, R and Mahes, S and Salerno, C and Crawford, K and Casalin, P and Malferrari, G and Weisz, MG and Orr-Urtreger, A and Montine, T and Russell, D and Dahodwala, N and Giladi, N and Factor, S and Hogarth, P and Standaert, D and Hauser, R and Jankovic, J and Saint-Hilaire, M and Richard, I and Shprecher, D and Fernandez, H and Brockmann, K and Rosenthal, L and Barone, P and Espay, A and Rowe, D and Marder, K and Santiago, A and Bressman, S and Hu, S-C and Isaacson, S and Corvol, J-C and Ruiz, Martinez J and Tolosa, E an},
doi = {10.3233/JPD-181518},
journal = {Journal of Parkinsons Disease},
pages = {665--679},
title = {Predicting progression in Parkinson's Disease using baseline and 1-Year change measures},
url = {http://dx.doi.org/10.3233/JPD-181518},
volume = {9},
year = {2019}
}

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TY  - JOUR
AB  - 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
AU  - Chahine,LM
AU  - Siderowf,A
AU  - Barnes,J
AU  - Seedorff,N
AU  - Caspell-Garcia,C
AU  - Simuni,T
AU  - Coffey,CS
AU  - Galasko,D
AU  - Mollenhauer,B
AU  - Arnedo,V
AU  - Daegele,N
AU  - Frasier,M
AU  - Tanner,C
AU  - Kieburtz,K
AU  - Marek,K
AU  - Seibyl,J
AU  - Coffey,C
AU  - Tosun-Turgut,D
AU  - Shaw,L
AU  - Trojanowski,J
AU  - Singleton,A
AU  - Toga,A
AU  - Chahine,L
AU  - Poewe,W
AU  - Foroud,T
AU  - Poston,K
AU  - Sherer,T
AU  - Chowdhury,S
AU  - Kopil,C
AU  - Casaceli,C
AU  - Dorsey,R
AU  - Wilson,R
AU  - Mahes,S
AU  - Salerno,C
AU  - Crawford,K
AU  - Casalin,P
AU  - Malferrari,G
AU  - Weisz,MG
AU  - Orr-Urtreger,A
AU  - Montine,T
AU  - Russell,D
AU  - Dahodwala,N
AU  - Giladi,N
AU  - Factor,S
AU  - Hogarth,P
AU  - Standaert,D
AU  - Hauser,R
AU  - Jankovic,J
AU  - Saint-Hilaire,M
AU  - Richard,I
AU  - Shprecher,D
AU  - Fernandez,H
AU  - Brockmann,K
AU  - Rosenthal,L
AU  - Barone,P
AU  - Espay,A
AU  - Rowe,D
AU  - Marder,K
AU  - Santiago,A
AU  - Bressman,S
AU  - Hu,S-C
AU  - Isaacson,S
AU  - Corvol,J-C
AU  - Ruiz,Martinez J
AU  - Tolosa,E
AU  - Tai,Y
AU  - Politis,M
AU  - Smejdir,D
AU  - Rees,L
AU  - Williams,K
AU  - Kausar,F
AU  - Richardson,W
AU  - Willeke,D
AU  - Peacock,S
AU  - Sommerfeld,B
AU  - Freed,A
AU  - Wakeman,K
AU  - Blair,C
AU  - Guthrie,S
AU  - Harrell,L
AU  - Hunter,C
AU  - Thomas,C-A
AU  - James,R
AU  - Zimmerman,G
AU  - Brown,V
AU  - Mule,J
AU  - Hilt,E
AU  - Ribb,K
AU  - Ainscough,S
AU  - Wethington,M
AU  - Ranola,M
AU  - Santana,HM
AU  - Moreno,J
AU  - Raymond,D
AU  - Speketer,K
AU  - Carvajal,L
AU  - Carvalho,S
AU  - Croitoru,I
AU  - Garrido,A
AU  - Payne,LM
AU  - Viswanth,V
AU  - Severt,L
AU  - Facheris,M
AU  - Soares,H
AU  - Mintun,MA
AU  - Cedarbaum,J
AU  - Taylor,P
AU  - Biglan,K
AU  - Vandenbroucke,E
AU  - Sheikh,ZH
AU  - Bingol,B
AU  - Fischer,T
AU  - Sardi,P
AU  - Forrat,R
AU  - Reith,A
AU  - Egebjerg,J
AU  - Hillert,GA
AU  - Saba,B
AU  - Min,C
AU  - Umek,R
AU  - Mather,J
AU  - De,Santi S
AU  - Post,A
AU  - Boess,F
AU  - Taylor,K
AU  - Grachev,I
AU  - Avbersek,A
AU  - Muglia,P
AU  - Merchant,K
AU  - Tauscher,J
DO  - 10.3233/JPD-181518
EP  - 679
PY  - 2019///
SN  - 1877-718X
SP  - 665
TI  - Predicting progression in Parkinson's Disease using baseline and 1-Year change measures
T2  - Journal of Parkinsons Disease
UR  - http://dx.doi.org/10.3233/JPD-181518
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000489899800003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://content.iospress.com/articles/journal-of-parkinsons-disease/jpd181518
UR  - http://hdl.handle.net/10044/1/77171
VL  - 9
ER  -

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