Cargando…

Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools

Niemann–Pick disease type C (NP-C) is a rare multisystemic lysosomal disorder which, albeit treatable, is still starkly underdiagnosed. As NP-C features early onset ataxia (EOA) in 85–90 % of cases, EOA presents a promising target group for undiagnosed NP-C patients. Here, we assessed the ability of...

Descripción completa

Detalles Bibliográficos
Autores principales: Synofzik, Matthis, Fleszar, Zofia, Schöls, Ludger, Just, Jennifer, Bauer, Peter, Torres Martin, Juan V., Kolb, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037150/
https://www.ncbi.nlm.nih.gov/pubmed/27314965
http://dx.doi.org/10.1007/s00415-016-8178-0
_version_ 1782455676317990912
author Synofzik, Matthis
Fleszar, Zofia
Schöls, Ludger
Just, Jennifer
Bauer, Peter
Torres Martin, Juan V.
Kolb, Stefan
author_facet Synofzik, Matthis
Fleszar, Zofia
Schöls, Ludger
Just, Jennifer
Bauer, Peter
Torres Martin, Juan V.
Kolb, Stefan
author_sort Synofzik, Matthis
collection PubMed
description Niemann–Pick disease type C (NP-C) is a rare multisystemic lysosomal disorder which, albeit treatable, is still starkly underdiagnosed. As NP-C features early onset ataxia (EOA) in 85–90 % of cases, EOA presents a promising target group for undiagnosed NP-C patients. Here, we assessed the ability of the previously established NP-C suspicion index (SI) and a novel abbreviated ‘2/3 SI’ tool for rapid appraisal of suspected NP-C in unexplained EOA. This was a retrospective observational study comparing ‘NP-C EOA’ cases (EOA patients with confirmed NP-C) with non-NP-C EOA controls (EOA patients negative for NP-C gene mutations). NP-C risk prediction scores (RPS) from both the original and 2/3 SIs were calculated and their discriminatory performance evaluated. Among 133 patients (47 NP-C EOA cases; 86 non-NP-C EOA controls), moderate (40–69 points) and high (≥70 points) RPS were common based on original SI assessments in non-NP-C EOA controls [16 (19 %) and 8 (9 %), respectively], but scores ≥70 points were far more frequent [46 (98 %)] among NP-C EOA cases. RPS cut-off values provided 98 % sensitivity and 91 % specificity for NP-C at 70-point cut-off, and ROC analysis revealed an AUC of 0.982. Using the 2/3 SI, 90 % of NP-C EOA cases had scores of 2 or 3, and RPS analysis showed an AUC of 0.961. In conclusion, the NP-C SI and the new, quick-to-apply 2/3 SI distinguished well between NP-C and non-NP-C patients, even in EOA populations with high background levels of broadly NPC-compatible multisystemic disease features. While the original SI showed the greatest sensitivity, both tools reliably aided identification of patients with unexplained EOA who warranted further investigation for NP-C. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00415-016-8178-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5037150
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-50371502016-10-11 Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools Synofzik, Matthis Fleszar, Zofia Schöls, Ludger Just, Jennifer Bauer, Peter Torres Martin, Juan V. Kolb, Stefan J Neurol Original Communication Niemann–Pick disease type C (NP-C) is a rare multisystemic lysosomal disorder which, albeit treatable, is still starkly underdiagnosed. As NP-C features early onset ataxia (EOA) in 85–90 % of cases, EOA presents a promising target group for undiagnosed NP-C patients. Here, we assessed the ability of the previously established NP-C suspicion index (SI) and a novel abbreviated ‘2/3 SI’ tool for rapid appraisal of suspected NP-C in unexplained EOA. This was a retrospective observational study comparing ‘NP-C EOA’ cases (EOA patients with confirmed NP-C) with non-NP-C EOA controls (EOA patients negative for NP-C gene mutations). NP-C risk prediction scores (RPS) from both the original and 2/3 SIs were calculated and their discriminatory performance evaluated. Among 133 patients (47 NP-C EOA cases; 86 non-NP-C EOA controls), moderate (40–69 points) and high (≥70 points) RPS were common based on original SI assessments in non-NP-C EOA controls [16 (19 %) and 8 (9 %), respectively], but scores ≥70 points were far more frequent [46 (98 %)] among NP-C EOA cases. RPS cut-off values provided 98 % sensitivity and 91 % specificity for NP-C at 70-point cut-off, and ROC analysis revealed an AUC of 0.982. Using the 2/3 SI, 90 % of NP-C EOA cases had scores of 2 or 3, and RPS analysis showed an AUC of 0.961. In conclusion, the NP-C SI and the new, quick-to-apply 2/3 SI distinguished well between NP-C and non-NP-C patients, even in EOA populations with high background levels of broadly NPC-compatible multisystemic disease features. While the original SI showed the greatest sensitivity, both tools reliably aided identification of patients with unexplained EOA who warranted further investigation for NP-C. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00415-016-8178-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-06-17 2016 /pmc/articles/PMC5037150/ /pubmed/27314965 http://dx.doi.org/10.1007/s00415-016-8178-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Communication
Synofzik, Matthis
Fleszar, Zofia
Schöls, Ludger
Just, Jennifer
Bauer, Peter
Torres Martin, Juan V.
Kolb, Stefan
Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title_full Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title_fullStr Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title_full_unstemmed Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title_short Identifying Niemann–Pick type C in early-onset ataxia: two quick clinical screening tools
title_sort identifying niemann–pick type c in early-onset ataxia: two quick clinical screening tools
topic Original Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037150/
https://www.ncbi.nlm.nih.gov/pubmed/27314965
http://dx.doi.org/10.1007/s00415-016-8178-0
work_keys_str_mv AT synofzikmatthis identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT fleszarzofia identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT scholsludger identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT justjennifer identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT bauerpeter identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT torresmartinjuanv identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools
AT kolbstefan identifyingniemannpicktypecinearlyonsetataxiatwoquickclinicalscreeningtools