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.

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. - In: FRONTIERS IN NEUROLOGY. - ISSN 1664-2295. - 9:(2019), pp. 1-11. [10.3389/fneur.2018.01156]

Predictors of evolution into multiple sclerosis after a first acute demyelinating syndrome in children and adolescents

Papetti, Laura;Figà Talamanca, Lorenzo;Spalice, Alberto;
2019

Abstract

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.
2019
acute demyelinating event; acute disseminated encephalomyelitis; clinically isolated syndrome; multiple sclerosis; pediatrics
01 Pubblicazione su rivista::01a Articolo in rivista
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. - In: FRONTIERS IN NEUROLOGY. - ISSN 1664-2295. - 9:(2019), pp. 1-11. [10.3389/fneur.2018.01156]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1225564
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