Cargando…
Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents
Background/Objective: The aim of the study was to estimate the rate of evolution or for multiple sclerosis (MS), after a first acute demyelinating event (ADE) in pediatric patients, and to investigate the variables that predict this evolution. Methods: We retrospectively evaluated the clinical and n...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340959/ https://www.ncbi.nlm.nih.gov/pubmed/30697184 http://dx.doi.org/10.3389/fneur.2018.01156 |
_version_ | 1783388864337936384 |
---|---|
author | Papetti, Laura Figà Talamanca, Lorenzo Spalice, Alberto Vigevano, Federico Centonze, Diego Valeriani, Massimiliano |
author_facet | Papetti, Laura Figà Talamanca, Lorenzo Spalice, Alberto Vigevano, Federico Centonze, Diego Valeriani, Massimiliano |
author_sort | Papetti, Laura |
collection | PubMed |
description | Background/Objective: The aim of the study was to estimate the rate of evolution or for multiple sclerosis (MS), after a first acute demyelinating event (ADE) in pediatric patients, and to investigate the variables that predict this evolution. Methods: We retrospectively evaluated the clinical and neuroradiological features of children who presented a first ADE between January 2005 and April 2017. All patients included underwent a baseline MRI, a cerebrospinal fluid and blood analysis, including virological examinations. The evolution into MS was determined by the 2013 International Pediatric Multiple Sclerosis Study Group (IPMSSG) criteria. Clinical and radiological features predictive of MS were determined using multivariate analyses. Results: Ninety-one patients were selected (mean age at onset: 10.11 ± 4.6). After a mean follow-up of 5.6 ± 2.3 years, 35% of patients' conditions evolved to MS. In the logistic multivariate analysis of clinical and laboratory data, the best predictors of evolution into MS were: the presence of oligoclonal bands in CSF (p < 0.001), past infection with EBV (p < 0.001), periventricular lesions (p < 0.001), hypointense lesions on T1 (p < 0.001), and lesions of the corpus callosum (p < 0.001) including Dawson fingers (p < 0.001). Conclusion: Our findings suggest that a pattern of neuroimaging and laboratory findings may help to distinguish between, at clinical onset, children with a monophasic syndrome (clinically isolated syndrome or acute disseminated encephalomyelitis) from those who will develop MS. |
format | Online Article Text |
id | pubmed-6340959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63409592019-01-29 Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents Papetti, Laura Figà Talamanca, Lorenzo Spalice, Alberto Vigevano, Federico Centonze, Diego Valeriani, Massimiliano Front Neurol Neurology Background/Objective: The aim of the study was to estimate the rate of evolution or for multiple sclerosis (MS), after a first acute demyelinating event (ADE) in pediatric patients, and to investigate the variables that predict this evolution. Methods: We retrospectively evaluated the clinical and neuroradiological features of children who presented a first ADE between January 2005 and April 2017. All patients included underwent a baseline MRI, a cerebrospinal fluid and blood analysis, including virological examinations. The evolution into MS was determined by the 2013 International Pediatric Multiple Sclerosis Study Group (IPMSSG) criteria. Clinical and radiological features predictive of MS were determined using multivariate analyses. Results: Ninety-one patients were selected (mean age at onset: 10.11 ± 4.6). After a mean follow-up of 5.6 ± 2.3 years, 35% of patients' conditions evolved to MS. In the logistic multivariate analysis of clinical and laboratory data, the best predictors of evolution into MS were: the presence of oligoclonal bands in CSF (p < 0.001), past infection with EBV (p < 0.001), periventricular lesions (p < 0.001), hypointense lesions on T1 (p < 0.001), and lesions of the corpus callosum (p < 0.001) including Dawson fingers (p < 0.001). Conclusion: Our findings suggest that a pattern of neuroimaging and laboratory findings may help to distinguish between, at clinical onset, children with a monophasic syndrome (clinically isolated syndrome or acute disseminated encephalomyelitis) from those who will develop MS. Frontiers Media S.A. 2019-01-15 /pmc/articles/PMC6340959/ /pubmed/30697184 http://dx.doi.org/10.3389/fneur.2018.01156 Text en Copyright © 2019 Papetti, Figà Talamanca, Spalice, Vigevano, Centonze and Valeriani. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Papetti, Laura Figà Talamanca, Lorenzo Spalice, Alberto Vigevano, Federico Centonze, Diego Valeriani, Massimiliano Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title | Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title_full | Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title_fullStr | Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title_full_unstemmed | Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title_short | Predictors of Evolution Into Multiple Sclerosis After a First Acute Demyelinating Syndrome in Children and Adolescents |
title_sort | predictors of evolution into multiple sclerosis after a first acute demyelinating syndrome in children and adolescents |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340959/ https://www.ncbi.nlm.nih.gov/pubmed/30697184 http://dx.doi.org/10.3389/fneur.2018.01156 |
work_keys_str_mv | AT papettilaura predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents AT figatalamancalorenzo predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents AT spalicealberto predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents AT vigevanofederico predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents AT centonzediego predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents AT valerianimassimiliano predictorsofevolutionintomultiplesclerosisafterafirstacutedemyelinatingsyndromeinchildrenandadolescents |