Seasonality and clinical characteristics of MS in an equatorial country.

BACKGROUND: Month and season of birth have been associated with risk of multiple sclerosis (MS), but there is relatively little evidence regarding their influence on the timing and severity of disease at onset. OBJECTIVE: To assess whether month and season of birth influence the age and phenotype at onset of MS as well as its severity in a cohort of Colombian patients. METHODS: This study is an analysis on MS cases only, drawn from a previously published case-control study. MS cases confirmed with current diagnostic criteria cared for at least once in our center were included. We assessed the influence of the month and season of birth in the age at MS onset, MS severity score, and age-related MS severity score using multiple and pairwise comparisons. Age at onset was also studied using Kaplan-Meier survival estimates compared with the log-rank test. The likelihood of progressive MS onset was evaluated with OR estimated from logistic regression models adjusted for age at onset and sex. RESULTS: 668 MS cases were included. No significant differences were found in the age at MS onset according to month of birth or season of birth. Neither month of birth nor season of birth conferred significant differences in MS severity score or age-related MS severity score. No significant association was found between month (ORs ranging from 0.62 to 3.11, none significant) or season of birth (OR 0.91; 95 %CI: 0.46-1.84) with primary progressive MS. CONCLUSION: The month or season of birth do not appear to influence the age onset and phenotype of MS in our country.

Primer caso de esclerosis múltiple primaria progresiva tratada con ocrelizumab en el Perú / First case of Primary Progressive Multiple Sclerosis treated with Ocrelizumab in Peru

RESUMEN La esclerosis múltiple es una enfermedad crónica, inflamatoria, desmielinizante, de etiología autoinmune que afecta al sistema nervioso central. Es la causa más común de discapacidad neurológica no traumática en adultos jóvenes. El 10 % de pacientes con esta enfermedad son diagnosticados con la forma esclerosis múltiple primaria progresiva (EMPP) que, hasta la aparición del anticuerpo monoclonal anti-CD20 ocrelizumab, no tenía una terapia específica. Se presenta el primer caso de EMPP tratado con ocrelizumab en el sistema público peruano. El paciente presentó una tolerabilidad aceptable y una respuesta clínica adecuada, medida con la Escala Expandida del Estado de Discapacidad (EDSS). Se destaca que, en la legislación peruana, la esclerosis múltiple es considerada una enfermedad rara que requiere una evaluación ad hoc para la autorización de financiamiento público para terapias específicas.

ABSTRACT Multiple Sclerosis is a chronic, demyelinating, autoimmune, neuroinflammatory disease. Known as the most common cause of non-traumatic neurological disability in young adults. Ten per cent of patients with Multiple Sclerosis are diagnosed with the Primary Progressive form (PPMS) which, until the emergence of the anti-CD20 monoclonal antibody Ocrelizumab, had no specific therapy. The first case treated with Ocrelizumab in the Peruvian public healthcare system is reported. The patient presented an acceptable tolerability and an adequate clinical response, as measured by the EDSS scale. Of note, under Peruvian legislation, Multiple Sclerosis is considered a rare disease and, therefore, requires an ad hoc evaluation for the authorization of public funding for specific therapies.

Anti-CD20 immunotherapy in progressive multiple sclerosis: 2-year real-world follow-up of 108 patients.

BACKGROUND: Anti-CD20 monoclonal antibodies are recently introduced treatments in progressive MS and real-world data are lacking. OBJECTIVE: The aim of this study is to describe a cohort of progressive MS patients treated with ocrelizumab or rituximab in a real-world setting. METHODS: This monocentric prospective cohort study at the University Hospital of Strasbourg included patients with primary progressive or secondary progressive MS that started treatment with anti-CD20 antibodies before June 2019. Every six months, patients were assessed using the following standardized clinical evaluations: Expanded Disability Status Scale (EDSS), Timed 25-Foot Walk (T25FW), 9-Hole Peg Test (9-HPT) and Symbol Digit Modalities Test (SDMT). The primary analysis considered EDSS progression (of at least 1.0 if EDSS ≤ 5.5 and at least 0.5 if EDSS ≥ 6.0). RESULTS: We included 108 patients, with a median age upon inclusion of 53 years [48.0-58.0]. 72% were classified as primary progressive forms. Median baseline EDSS was 6.0 [4.0-6.5]. EDSS was significantly correlated with T25FW, SDMT and 9-HPT. Following 2 years of treatment, 38.9% of patients presented EDSS progression compared to baseline. CONCLUSION: Our large cohort confirms tolerance of these treatments in a real-world setting. Standardized clinical assessments could improve detection of deteriorating patients. Further studies are needed to establish predictive factors.

Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning / Diferenciação de esclerose múltipla recorrente-remitente e progressiva secundária: um estudo de ressonância magnética com espectroscopia baseado em aprendizado de máquina

ABSTRACT Introduction: Magnetic resonance imaging (MRI) is the most important tool for diagnosis and follow-up in multiple sclerosis (MS). The discrimination of relapsing-remitting MS (RRMS) from secondary progressive MS (SPMS) is clinically difficult, and developing the proposal presented in this study would contribute to the process. Objective: This study aimed to ensure the automatic classification of healthy controls, RRMS, and SPMS by using MR spectroscopy and machine learning methods. Methods: MR spectroscopy (MRS) was performed on a total of 91 participants, distributed into healthy controls (n=30), RRMS (n=36), and SPMS (n=25). Firstly, MRS metabolites were identified using signal processing techniques. Secondly, feature extraction was performed based on MRS Spectra. N-acetylaspartate (NAA) was the most significant metabolite in differentiating MS types. Lastly, binary classifications (healthy controls-RRMS and RRMS-SPMS) were carried out according to features obtained by the Support Vector Machine algorithm. Results: RRMS cases were differentiated from healthy controls with 85% accuracy, 90.91% sensitivity, and 77.78% specificity. RRMS and SPMS were classified with 83.33% accuracy, 81.81% sensitivity, and 85.71% specificity. Conclusions: A combined analysis of MRS and computer-aided diagnosis may be useful as a complementary imaging technique to determine MS types.

RESUMO Introdução: A ressonância magnética é a ferramenta mais importante para o diagnóstico e acompanhamento na EM. A transição da EM recorrente-remitente (EMRR) para a EM progressiva secundária (EMPS) é clinicamente difícil e seria importante desenvolver a proposta apresentada neste estudo a fim de contribuir com o processo. Objetivo: o objetivo deste estudo foi garantir a classificação automática de grupo controle saudável, EMRR e EMPS usando a RM com espectroscopia e métodos de aprendizado de máquina. Métodos: Os exames de RM com espectroscopia foram realizados em um total de 91 amostras com grupo controle saudável (n=30), EMRR (n=36) e EMPS (n=25). Em primeiro lugar, os metabólitos da RM com espectroscopia foram identificados usando técnicas de processamento de sinal. Em segundo lugar, a extração de recursos foi realizada a partir do MRS Spectra. O NAA foi determinado como o metabólito mais significativo na diferenciação dos tipos de MS. Por fim, as classificações binárias (Healthy Control Group-RRMS e RRMS-SPMS) foram realizadas de acordo com as características obtidas por meio do algoritmo Support Vector Machine. Resultados: Os casos de EMRR e do grupo de controle saudável foram diferenciados entre si com 85% de acerto, 90,91% de sensibilidade e 77,78% de especificidade, respectivamente. A EMRR e a EMPS foram classificadas com 83,33% de acurácia, 81,81% de sensibilidade e 85,71% de especificidade, respectivamente. Conclusões: Uma análise combinada de RM com espectroscopia e abordagem de diagnóstico auxiliado por computador pode ser útil como uma técnica de imagem complementar na determinação dos tipos de EM.

Magnetic resonance spectroscopic findings of chronic lesions in two subtypes of multiple sclerosis: primary progressive versus relapsing remitting.

BACKGROUND: Multiple sclerosis (MS) is a highly prevalent cause of neurological disability and has different clinical subtypes with potentially different underlying pathologies. Differentiation of primary progressive multiple sclerosis (PPMS) from relapsing remitting multiple sclerosis (RRMS) could be difficult especially in its early phases. OBJECTIVES: We compared brain metabolite concentrations and ratios in patients with PPMS and RRMS by magnetic resonance spectroscopic imaging (MRSI). PATIENTS AND METHODS: Thirty patients with definite MS (15 with RRMS and 15 with PPMS) underwent MRSI and their non-enhancing lesion metabolites were measured. N-acetyl aspartate (NAA), Creatine (Cr), Choline (Cho), NAA/Cr and NAA/Cho were measured and compared between the two MS subtypes. RESULTS: When the two MS groups were compared together, we found that Cr was significantly increased (P value=0.008) and NAA/Cr was significantly decreased (P value=0.03) in non-enhancing lesions in PPMS compared with RRMS. There was no significant difference in NAA, Cho or NAA/Cho between the two MS subtypes. CONCLUSION: MRS is a potential way to differentiate PPMS and RRMS.