BACKGROUND AND PURPOSE: Late-onset multiple sclerosis (MS) has a prevalence of about 10-20% in natural history MS studies. Few data have been published about the long-term disease trajectory in the cohort of late-onset relapsing-remitting MS (LORRMS). The aim of this study was to identify the risk factors for reaching an Expanded Disability Status Scale (EDSS) score of 6.0 in LORRMS (onset at >40 years of age) and young-onset relapsing-remitting MS (YORRMS) (onset between 18 and 40 years of age). METHODS: Clinical and radiological [magnetic resonance imaging (MRI) of the brain] follow-up data were collected. Disability was assessed by EDSS score. A Cox proportional hazards model was used to evaluate the demographic and clinical predictors of reaching an EDSS score of 6.0 in the two cohorts. RESULTS: A total of 671 patients with relapsing-remitting MS were enrolled, 143 (21.3%) with LORRMS and 528 (78.7%) with YORRMS. In LORRMS, age at onset was 47.8 ± 5.3 (mean ± SD) years and duration of follow-up was 120.7 ± 52.7 months. In YORRMS, age at onset was 27 ± 2.7 years and duration of follow-up was 149.9 ± 92.7 months. The survival curve analyses showed a higher probability of reaching an EDSS score of 6.0 for LORRMS in a shorter time (months) than for YORRMS (94.2 vs. 103.2 months; log-rank 8.8; P < 0.05). On MRI, YORRMS showed more brain inflammatory features than LORRMS. In the multivariate Cox model, age at onset [Exp(B) value, 6.5; 95% confidence interval, 1.9-22.6; P < 0.001] and male gender [Exp(B) value, 1.7; 95% confidence interval, 1.0-2.8; P < 0.05] were the strongest predictors of reaching an EDSS score of 6.0. CONCLUSIONS: The male population with LORRMS reached severe disability faster than those with YORRMS, even when YORRMS showed more brain inflammatory features on MRI.
BACKGROUND AND PURPOSE: Late-onset multiple sclerosis (MS) has a prevalence of about 10-20% in natural history MS studies. Few data have been published about the long-term disease trajectory in the cohort of late-onset relapsing-remitting MS (LORRMS). The aim of this study was to identify the risk factors for reaching an Expanded Disability Status Scale (EDSS) score of 6.0 in LORRMS (onset at >40 years of age) and young-onset relapsing-remitting MS (YORRMS) (onset between 18 and 40 years of age). METHODS: Clinical and radiological [magnetic resonance imaging (MRI) of the brain] follow-up data were collected. Disability was assessed by EDSS score. A Cox proportional hazards model was used to evaluate the demographic and clinical predictors of reaching an EDSS score of 6.0 in the two cohorts. RESULTS: A total of 671 patients with relapsing-remitting MS were enrolled, 143 (21.3%) with LORRMS and 528 (78.7%) with YORRMS. In LORRMS, age at onset was 47.8 ± 5.3 (mean ± SD) years and duration of follow-up was 120.7 ± 52.7 months. In YORRMS, age at onset was 27 ± 2.7 years and duration of follow-up was 149.9 ± 92.7 months. The survival curve analyses showed a higher probability of reaching an EDSS score of 6.0 for LORRMS in a shorter time (months) than for YORRMS (94.2 vs. 103.2 months; log-rank 8.8; P < 0.05). On MRI, YORRMS showed more brain inflammatory features than LORRMS. In the multivariate Cox model, age at onset [Exp(B) value, 6.5; 95% confidence interval, 1.9-22.6; P < 0.001] and male gender [Exp(B) value, 1.7; 95% confidence interval, 1.0-2.8; P < 0.05] were the strongest predictors of reaching an EDSS score of 6.0. CONCLUSIONS: The male population with LORRMS reached severe disability faster than those with YORRMS, even when YORRMS showed more brain inflammatory features on MRI.
Authors: Carmen Concerto; Alessandro Rodolico; Alessia Ciancio; Christian Messina; Antimo Natale; Ludovico Mineo; Fortunato Battaglia; Eugenio Aguglia Journal: Int J Environ Res Public Health Date: 2021-12-25 Impact factor: 3.390
Authors: Huah Shin Ng; Jonas Graf; Feng Zhu; Elaine Kingwell; Orhan Aktas; Philipp Albrecht; Hans-Peter Hartung; Sven G Meuth; Charity Evans; John D Fisk; Ruth Ann Marrie; Yinshan Zhao; Helen Tremlett Journal: Front Immunol Date: 2022-01-13 Impact factor: 7.561
Authors: Aurora Zanghì; Carlo Avolio; Maria Pia Amato; Massimo Filippi; Maria Trojano; Francesco Patti; Emanuele D'Amico Journal: Eur J Neurol Date: 2021-07-30 Impact factor: 6.288