BACKGROUND: The risk of multiple sclerosis (MS) is dependent on multiple variables, including geographical location. There is increasing interest in the early recognition and treatment of MS in children. METHOD: Using univariate and multivariate analysis, we determined the clinical and radiological features that were predictive of MS in 88 children from New South Wales, Australia, with a first acute demyelinating syndrome (ADS) who were followed for a minimum of one year. We tested the McDonald, KIDMUS, Callen and Verhey MRI criteria for paediatric MS. RESULTS: After a mean follow-up of 5.2 years, 13/88 (15%) of children had MS. Using multivariate analysis, preceding infection was protective of MS, and corpus callosal lesions, the combined presence of both well and poorly demarcated lesions, and contrast-enhancing lesions on MRI were predictive of MS. The sensitivity and specificity of the respective radiological criteria were McDonald 2005 (69%, 68%), McDonald 2010 (58%, 95%), KIDMUS (8%, 100%), Callen (69%, 85%) and Verhey (62%, 84%). When McDonald 2010 criteria were applied to baseline and serial scans, the sensitivity and specificity was 91% and 93%. CONCLUSION: Despite the long follow-up, the risk of MS appears lower in New South Wales children compared to previously reported cohorts. Radiological features are more predictive than clinical features in predicting MS. The McDonald 2010 criteria performed well although the dissemination in time criteria on baseline scans is difficult to apply to children with encephalopathy.
BACKGROUND: The risk of multiple sclerosis (MS) is dependent on multiple variables, including geographical location. There is increasing interest in the early recognition and treatment of MS in children. METHOD: Using univariate and multivariate analysis, we determined the clinical and radiological features that were predictive of MS in 88 children from New South Wales, Australia, with a first acute demyelinating syndrome (ADS) who were followed for a minimum of one year. We tested the McDonald, KIDMUS, Callen and Verhey MRI criteria for paediatric MS. RESULTS: After a mean follow-up of 5.2 years, 13/88 (15%) of children had MS. Using multivariate analysis, preceding infection was protective of MS, and corpus callosal lesions, the combined presence of both well and poorly demarcated lesions, and contrast-enhancing lesions on MRI were predictive of MS. The sensitivity and specificity of the respective radiological criteria were McDonald 2005 (69%, 68%), McDonald 2010 (58%, 95%), KIDMUS (8%, 100%), Callen (69%, 85%) and Verhey (62%, 84%). When McDonald 2010 criteria were applied to baseline and serial scans, the sensitivity and specificity was 91% and 93%. CONCLUSION: Despite the long follow-up, the risk of MS appears lower in New South Wales children compared to previously reported cohorts. Radiological features are more predictive than clinical features in predicting MS. The McDonald 2010 criteria performed well although the dissemination in time criteria on baseline scans is difficult to apply to children with encephalopathy.
Authors: Russell C Dale; Esther M Tantsis; Vera Merheb; Raani-Yogeeta A Kumaran; Nese Sinmaz; Karrnan Pathmanandavel; Sudarshini Ramanathan; David R Booth; Louise A Wienholt; Kristina Prelog; Damien R Clark; Gilles J Guillemin; Chai K Lim; Emily K Mathey; Fabienne Brilot Journal: Neurol Neuroimmunol Neuroinflamm Date: 2014-05-22
Authors: Massimo Filippi; Maria A Rocca; Olga Ciccarelli; Nicola De Stefano; Nikos Evangelou; Ludwig Kappos; Alex Rovira; Jaume Sastre-Garriga; Mar Tintorè; Jette L Frederiksen; Claudio Gasperini; Jacqueline Palace; Daniel S Reich; Brenda Banwell; Xavier Montalban; Frederik Barkhof Journal: Lancet Neurol Date: 2016-01-26 Impact factor: 44.182
Authors: C L de Mol; Y Y M Wong; E D van Pelt; I A Ketelslegers; D P Bakker; M Boon; K P J Braun; K G J van Dijk; M J Eikelenboom; M Engelen; K Geleijns; C A Haaxma; J M F Niermeijer; E H Niks; E A J Peeters; C M P C D Peeters-Scholte; B T Poll-The; R P Portier; J F de Rijk-van Andel; J P A Samijn; H M Schippers; I N Snoeck; H Stroink; R J Vermeulen; A Verrips; F Visscher; J S H Vles; M A A P Willemsen; C E Catsman-Berrevoets; R Q Hintzen; R F Neuteboom Journal: J Neurol Date: 2018-03-22 Impact factor: 4.849
Authors: Yu Yi M Wong; C Louk de Mol; Roos M van der Vuurst de Vries; E Daniëlle van Pelt; Immy A Ketelslegers; Coriene E Catsman-Berrevoets; Rinze F Neuteboom; Rogier Q Hintzen Journal: Neurol Neuroimmunol Neuroinflamm Date: 2018-12-14
Authors: Laura Papetti; Lorenzo Figà Talamanca; Alberto Spalice; Federico Vigevano; Diego Centonze; Massimiliano Valeriani Journal: Front Neurol Date: 2019-01-15 Impact factor: 4.003
Authors: Yu Yi M Wong; Roos M van der Vuurst de Vries; E Daniëlle van Pelt; Immy A Ketelslegers; Marie-José Melief; Annet F Wierenga; Coriene E Catsman-Berrevoets; Rinze F Neuteboom; Rogier Q Hintzen Journal: Mult Scler Date: 2018-07-18 Impact factor: 6.312