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Which ante mortem clinical features predict progressive supranuclear palsy pathology?

Authors :
Respondek, Gesine
Respondek, Gesine
Kurz, Carolin
Arzberger, Thomas
Compta, Yaroslau
Englund, Elisabet
Ferguson, Leslie W
Gelpi, Ellen
Giese, Armin
Irwin, David J
Meissner, Wassilios G
Nilsson, Christer
Pantelyat, Alexander
Rajput, Alex
van Swieten, John C
Troakes, Claire
Josephs, Keith A
Lang, Anthony E
Mollenhauer, Brit
Müller, Ulrich
Whitwell, Jennifer L
Antonini, Angelo
Bhatia, Kailash P
Bordelon, Yvette
Corvol, Jean-Christophe
Colosimo, Carlo
Dodel, Richard
Grossman, Murray
Kassubek, Jan
Krismer, Florian
Levin, Johannes
Lorenzl, Stefan
Morris, Huw
Nestor, Peter
Oertel, Wolfgang H
Rabinovici, Gil D
Rowe, James B
van Eimeren, Thilo
Wenning, Gregor K
Boxer, Adam
Golbe, Lawrence I
Litvan, Irene
Stamelou, Maria
Höglinger, Günter U
Movement Disorder Society-Endorsed PSP Study Group
Respondek, Gesine
Respondek, Gesine
Kurz, Carolin
Arzberger, Thomas
Compta, Yaroslau
Englund, Elisabet
Ferguson, Leslie W
Gelpi, Ellen
Giese, Armin
Irwin, David J
Meissner, Wassilios G
Nilsson, Christer
Pantelyat, Alexander
Rajput, Alex
van Swieten, John C
Troakes, Claire
Josephs, Keith A
Lang, Anthony E
Mollenhauer, Brit
Müller, Ulrich
Whitwell, Jennifer L
Antonini, Angelo
Bhatia, Kailash P
Bordelon, Yvette
Corvol, Jean-Christophe
Colosimo, Carlo
Dodel, Richard
Grossman, Murray
Kassubek, Jan
Krismer, Florian
Levin, Johannes
Lorenzl, Stefan
Morris, Huw
Nestor, Peter
Oertel, Wolfgang H
Rabinovici, Gil D
Rowe, James B
van Eimeren, Thilo
Wenning, Gregor K
Boxer, Adam
Golbe, Lawrence I
Litvan, Irene
Stamelou, Maria
Höglinger, Günter U
Movement Disorder Society-Endorsed PSP Study Group
Source :
Movement disorders : official journal of the Movement Disorder Society; vol 32, iss 7, 995-1005; 0885-3185
Publication Year :
2017

Abstract

BackgroundProgressive supranuclear palsy (PSP) is a neuropathologically defined disease presenting with a broad spectrum of clinical phenotypes.ObjectiveTo identify clinical features and investigations that predict or exclude PSP pathology during life, aiming at an optimization of the clinical diagnostic criteria for PSP.MethodsWe performed a systematic review of the literature published since 1996 to identify clinical features and investigations that may predict or exclude PSP pathology. We then extracted standardized data from clinical charts of patients with pathologically diagnosed PSP and relevant disease controls and calculated the sensitivity, specificity, and positive predictive value of key clinical features for PSP in this cohort.ResultsOf 4166 articles identified by the database inquiry, 269 met predefined standards. The literature review identified clinical features predictive of PSP, including features of the following 4 functional domains: ocular motor dysfunction, postural instability, akinesia, and cognitive dysfunction. No biomarker or genetic feature was found reliably validated to predict definite PSP. High-quality original natural history data were available from 206 patients with pathologically diagnosed PSP and from 231 pathologically diagnosed disease controls (54 corticobasal degeneration, 51 multiple system atrophy with predominant parkinsonism, 53 Parkinson's disease, 73 behavioral variant frontotemporal dementia). We identified clinical features that predicted PSP pathology, including phenotypes other than Richardson's syndrome, with varying sensitivity and specificity.ConclusionsOur results highlight the clinical variability of PSP and the high prevalence of phenotypes other than Richardson's syndrome. The features of variant phenotypes with high specificity and sensitivity should serve to optimize clinical diagnosis of PSP. © 2017 International Parkinson and Movement Disorder Society.

Details

Database :
OAIster
Journal :
Movement disorders : official journal of the Movement Disorder Society; vol 32, iss 7, 995-1005; 0885-3185
Notes :
application/pdf, Movement disorders : official journal of the Movement Disorder Society vol 32, iss 7, 995-1005 0885-3185
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367380466
Document Type :
Electronic Resource