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A clinical diagnostic algorithm for early onset cerebellar ataxia.

Authors :
Brandsma R
Verschuuren-Bemelmans CC
Amrom D
Barisic N
Baxter P
Bertini E
Blumkin L
Brankovic-Sreckovic V
Brouwer OF
Bürk K
Catsman-Berrevoets CE
Craiu D
de Coo IFM
Gburek J
Kennedy C
de Koning TJ
Kremer HPH
Kumar R
Macaya A
Micalizzi A
Mirabelli-Badenier M
Nemeth A
Nuovo S
Poll-The B
Lerman-Sagie T
Steinlin M
Synofzik M
Tijssen MAJ
Vasco G
Willemsen MAAP
Zanni G
Valente EM
Boltshauser E
Sival DA
Source :
European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society [Eur J Paediatr Neurol] 2019 Sep; Vol. 23 (5), pp. 692-706. Date of Electronic Publication: 2019 Aug 10.
Publication Year :
2019

Abstract

Early onset cerebellar Ataxia (EOAc) comprises a large group of rare heterogeneous disorders. Determination of the underlying etiology can be difficult given the broad differential diagnosis and the complexity of the genotype-phenotype relationships. This may change the diagnostic work-up into a time-consuming, costly and not always rewarding task. In this overview, the Childhood Ataxia and Cerebellar Group of the European Pediatric Neurology Society (CACG-EPNS) presents a diagnostic algorithm for EOAc patients. In seven consecutive steps, the algorithm leads the clinician through the diagnostic process, including EOA identification, application of the Inventory of Non-Ataxic Signs (INAS), consideration of the family history, neuro-imaging, laboratory investigations, genetic testing by array CGH and Next Generation Sequencing (NGS). In children with EOAc, this algorithm is intended to contribute to the diagnostic process and to allow uniform data entry in EOAc databases.<br /> (Copyright © 2019 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1532-2130
Volume :
23
Issue :
5
Database :
MEDLINE
Journal :
European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society
Publication Type :
Academic Journal
Accession number :
31481303
Full Text :
https://doi.org/10.1016/j.ejpn.2019.08.004