Prognostic factors for early severity in a childhood multiple sclerosis cohort

被引:86
作者
Mikaeloff, Yann
Caridade, Guillaume
Assi, Saada
Suissa, Samy
Tardieu, Marc
机构
[1] Hop Bicetre, APHP, Serv Neurol Pediat, INSERM,U802, F-94275 Le Kremlin Bicetre, France
[2] McGill Univ, Div Clin Epidemiol, Montreal, PQ, Canada
[3] Royal Victoria Hosp, Montreal, PQ H3A 1A1, Canada
关键词
children; multiple sclerosis; cohort; multivariate analysis; survival analysis;
D O I
10.1542/peds.2006-0655
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
OBJECTIVE. The goal was to identify prognostic factors for an early severe course in a cohort of patients with childhood-onset multiple sclerosis, for the construction of a predictive tool. METHODS. The cohort consisted of 197 children from the French Kid Sclerose en Plaques neuropediatric cohort with relapsing/ remitting multiple sclerosis beginning before the age of 16 years. Patients were included from 1990 to 2003. We used multivariate survival analysis (Cox model) to evaluate the prognostic value of clinical, MRI, and biological covariates at onset for the occurrence of a third attack or severe disability ("severity" outcome). RESULTS. The cohort was monitored for a mean of 5.5 +/- 3.6 years. The "severity" outcome was recorded for 144 patients (73%). The risk of severity was higher for girls, for a time between the first and second attacks of < 1 year, for childhood-onset multiple sclerosis MRI criteria at onset, for an absence of severe mental state changes at onset, and for a progressive course. A derived childhood-onset multiple sclerosis potential index for early severity was found to have a positive predictive value for severity of > 35% for the upper 2 quartiles. CONCLUSIONS. The clinical and MRI prognostic factors for early severity that were identified were used as the basis of a predictive tool, which will be validated in another cohort. This tool should make it possible to identify subgroups at risk of early severe disease and should facilitate therapeutic studies.
引用
收藏
页码:1133 / 1139
页数:7
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