Natural history of multiple sclerosis: early prognostic factors

Treatment effect modifiers of immunotherapies for relapsing-remitting multiple sclerosis-A systematic review and meta-analysis

Background

This meta-analysis aimed to assess the treatment effects of immunotherapies in subgroups of adults with clinically isolated syndrome or relapsing forms of multiple sclerosis (MS) and the effect of potential treatment effect modifiers (TEMs).

Methods

Phase 2 and 3 RCTs with a placebo comparator were analyzed. Risk of bias was assessed. Random-effects meta-analyses were conducted to summarize treatment effects within subgroups and differences in treatment effects between subgroups.

Results

Thirty-one studies were included. Age < 40 years was the strongest TEM for relapse rate across DMTs with a ratio of rate ratios (RRR) of 1.44 (95% CI 1.09-1.90; 7 studies). Disability progression was influenced by age (ratio of hazard ratios, RHR 1.59, 95% CI 1.11-2.29; 4 studies). Dichotomizing patients based on EDSS cut-offs (EDSS 2.0 and 3.0) also showed a significantly higher benefit for those less disabled for relapse rate (RRR 1.35, CI 1.03-1.76; 8 studies). Sex, baseline MRI parameters, previous immunotherapy, and clinical presentation showed no effect in this meta-analysis.

Conclusion

Age < 40 is a robust TEM for a lower relapse rate as well as less disability progression across six MS immunotherapies. Additionally, a lower baseline EDSS was predictive of the relapse rate.

Cerebellar and/or Brainstem Lesions Indicate Poor Prognosis in Multiple Sclerosis: A Systematic Review

Multiple sclerosis is a serious neurological disease that affects millions of people worldwide. Cerebellar and brainstem symptoms are common in the course of multiple sclerosis, but their prognostic value is unclear. This systematic review aimed to determine the relationship between the location of lesions in the cerebellum and/or brainstem and the prognosis in multiple sclerosis. In this systematic review, we searched and comprehensively read articles related to this research topic in Chinese and English electronic databases (PubMed, Embase, Cochrane Library, CNKI, and CBM) using search terms “multiple sclerosis,” “cerebellum,” “brainstem,” “prognosis,” and others. Cerebellar and brainstem clinically isolated syndromes and clinically definite multiple sclerosis were important predictors of transformation (hazard ratio, 2.58; 95% confidence interval, 1.58–4.22). Cerebellar and/or brainstem lesions indicate a poor overall prognosis in multiple sclerosis, but because of inconsistency, more clinical data are needed.

Onset Symptom Clusters in Multiple Sclerosis: Characteristics, Comorbidities, and Risk Factors

Background: Multiple sclerosis (MS) symptoms are expected to aggregate in specific patterns across different stages of the disease. Here, we studied the clustering of onset symptoms and examined their characteristics, comorbidity patterns and associations with potential risk factors.

Methods: Data stem from the Swiss Multiple Sclerosis Registry, a prospective study including 2,063 participants by November 2019. MS onset symptoms were clustered using latent class analysis (LCA). The latent classes were further examined using information on socio-demographic characteristics, MS-related features, potential risk factors, and comorbid diseases.

Results: The LCA model with six classes (frequencies ranging from 12 to 24%) was selected for further analyses. The latent classes comprised a multiple symptoms class with high probabilities across several symptoms, contrasting with two classes with solitary onset symptoms: vision problems and paresthesia. Two gait classes emerged between these extremes: the gait-balance class and the gait-paralysis class. The last class was the fatigue-weakness-class, also accompanied by depression symptoms, memory, and gastro-intestinal problems. There was a moderate variation by sex and by MS types. The multiple symptoms class yielded increased comorbidity with other autoimmune disorders. Similar to the fatigue-weakness class, the multiple symptoms class showed associations with angina, skin diseases, migraine, and lifetime prevalence of smoking. Mononucleosis was more frequently reported in the fatigue-weakness and the paresthesia class. Familial aggregation did not differ among the classes.

Conclusions: Clustering of MS onset symptoms provides new perspectives on the heterogeneity of MS. The clusters comprise different potential risk factors and comorbidities. They point toward different risk mechanisms.

Different neuroinflammatory gene expression profiles in highly active and benign multiple sclerosis

In this study, we aimed to explore the expression of genes associated with neuroinflammation in patients with benign and highly active multiple sclerosis (MS) and healthy controls, to define gene signatures associated with MS as well as disease activity and progression. We identified differences in the expression of 89 genes in benign and highly active MS patients and in healthy controls (q < 0.05). Twenty-eight genes related to myeloid cells function, the innate immune response, apoptosis, and autophagy were differentially expressed in patients with benign and highly active MS. Time to second relapse and expanded disability status scale (EDSS) scores were correlated with the expression of genes associated with myeloid cells function, innate immunity, and apoptosis. Our results could indicate the importance of innate immunity-associated pathways in maintaining high disease activity in MS and their crucial role in disease progression.

Efficacy of cladribine tablets in high disease activity patients with relapsing multiple sclerosis: post hoc analysis of subgroups with and without prior disease-modifying drug treatment

BACKGROUND

Relapsing-remitting multiple sclerosis (RRMS) patients with high disease activity (HDA) experience more severe disease than those without HDA. This analysis describes the efficacy of cladribine tablets 3.5 mg/kg in HDA patient subgroups that were either treated with disease-modifying drugs (DMDs) prior to study entry or were treatment naïve.

METHODS

Post hoc analysis of the 96 week Cladribine Tablets Treating Multiple Sclerosis Orally (CLARITY) study compared cladribine tablets 3.5 mg/kg to placebo in subgroups of patients meeting the high relapse activity plus disease activity on treatment definition of HDA. Patients were categorized into either prior DMD treatment or DMD treatment-naïve subgroups. Endpoints included annualized relapse rate (ARR), time to first relapse, time to disability progression and magnetic resonance imaging (MRI) outcomes. No inferential statistical analyses were conducted between subgroups.

RESULTS

The DMD-naïve cohort (n = 187) was larger than the prior-DMD cohort (n = 102). In both the DMD-naïve and prior-DMD cohorts, cladribine tablets were associated with a reduction in ARR (rate ratio [RR]: 0.26; 95% confidence interval [CI]: 0.16-0.42; p < .0001 and RR: 0.55; 95% CI: 0.32-0.95; p = .0324, respectively). In both subgroups, cladribine tablets increased the time to relapse versus placebo (hazard ratio [HR]: 0.36; 95% CI: 0.21-0.62; p = .0002 for DMD-naïve cohort and HR: 0.50; 95% CI: 0.24-1.02; p = .0557 for prior-DMD cohort). Significant differences were observed for all assessed disability and MRI outcomes independently of previous treatment.

CONCLUSION

Post hoc evidence suggests consistent treatment benefits of cladribine tablets 3.5 mg/kg during the 96 week CLARITY study among HDA-RRMS patients who were either previously treated with DMDs or were treatment naïve.

Multifaceted Role of Matrix Metalloproteinases in Neurodegenerative Diseases: Pathophysiological and Therapeutic Perspectives

Neurodegeneration is the pathological condition, in which the nervous system or neuron loses its structure, function, or both, leading to progressive degeneration or the death of neurons, and well-defined associations of tissue system, resulting in clinical manifestations. Neuroinflammation has been shown to precede neurodegeneration in several neurodegenerative diseases (NDs). No drug is yet known to delay or treat neurodegeneration. Although the etiology and potential causes of NDs remain widely indefinable, matrix metalloproteinases (MMPs) evidently have a crucial role in the progression of NDs. MMPs, a protein family of zinc (Zn²⁺)-containing endopeptidases, are pivotal agents that are involved in various biological and pathological processes in the central nervous system (CNS). The current review delineates the several emerging evidence demonstrating the effects of MMPs in the progression of NDs, wherein they regulate several processes, such as (neuro)inflammation, microglial activation, amyloid peptide degradation, blood brain barrier (BBB) disruption, dopaminergic apoptosis, and α-synuclein modulation, leading to neurotoxicity and neuron death. Published papers to date were searched via PubMed, MEDLINE, etc., while using selective keywords highlighted in our manuscript. We also aim to shed a light on pathophysiological effect of MMPs in the CNS and focus our attention on its detrimental and beneficial effects in NDs, with a special focus on Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), multiple sclerosis (MS), and Huntington's disease (HD), and discussed various therapeutic strategies targeting MMPs, which could serve as potential modulators in NDs. Over time, several agents have been developed in order to overcome challenges and open up the possibilities for making selective modulators of MMPs to decipher the multifaceted functions of MMPs in NDs. There is still a greater need to explore them in clinics.

Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study

The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine learning techniques may offer more powerful means to predict disease course in MS patients. In our study, 724 patients from the Comprehensive Longitudinal Investigation in MS at Brigham and Women's Hospital (CLIMB study) and 400 patients from the EPIC dataset, University of California, San Francisco, were included in the analysis. The primary outcome was an increase in Expanded Disability Status Scale (EDSS) ≥ 1.5 (worsening) or not (non-worsening) at up to 5 years after the baseline visit. Classification models were built using the CLIMB dataset with patients' clinical and MRI longitudinal observations in first 2 years, and further validated using the EPIC dataset. We compared the performance of three popular machine learning algorithms (SVM, Logistic Regression, and Random Forest) and three ensemble learning approaches (XGBoost, LightGBM, and a Meta-learner L). A "threshold" was established to trade-off the performance between the two classes. Predictive features were identified and compared among different models. Machine learning models achieved 0.79 and 0.83 AUC scores for the CLIMB and EPIC datasets, respectively, shortly after disease onset. Ensemble learning methods were more effective and robust compared to standalone algorithms. Two ensemble models, XGBoost and LightGBM were superior to the other four models evaluated in our study. Of variables evaluated, EDSS, Pyramidal Function, and Ambulatory Index were the top common predictors in forecasting the MS disease course. Machine learning techniques, in particular ensemble methods offer increased accuracy for the prediction of MS disease course.

Multiple Sclerosis and psychosis: A case report

Psychiatric symptoms resulting from Multiple Sclerosis (MS) itself or its treatment are well known. However, the relationship between psychotic episodes and Multiple Sclerosis remains debated. In this paper, we present the case of a woman who developed a chronic psychotic disorder a few months after the onset of MS. We describe the process which led us to make the diagnosis of Psychotic Disorder due to Medical Condition (Multiple Sclerosis). Because her criminal charges brought significant attention to her case, we also address the difficulty in treating a neurological condition with psychiatric features within the forensic context. Moreover, one of the main concerns of the patient was that Lyme Disease was the correct diagnosis as opposed to MS. We also report the difficulty of treating and initiating successful follow-up for a patient whose paranoia is enabled by the opinions of certain health advocacy groups.

Efficacy of Cladribine Tablets in high disease activity subgroups of patients with relapsing multiple sclerosis: A post hoc analysis of the CLARITY study

Background:

In the CLARITY (CLAdRIbine Tablets treating multiple sclerosis orallY) study, Cladribine Tablets significantly improved clinical and magnetic resonance imaging (MRI) outcomes (vs placebo) in patients with relapsing-remitting multiple sclerosis.

Objective:

Describe two clinically relevant definitions for patients with high disease activity (HDA) at baseline of the CLARITY study (utility verified in patients receiving placebo) and assess the treatment effects of Cladribine Tablets 3.5 mg/kg compared with the overall study population.

Methods:

Outcomes of patients randomised to Cladribine Tablets 3.5 mg/kg or placebo were analysed for subgroups using HDA definitions based on high relapse activity (HRA; patients with ⩾2 relapses during the year prior to study entry, whether on DMD treatment or not) or HRA plus disease activity on treatment (HRA + DAT; patients with ⩾2 relapses during the year prior to study entry, whether on DMD treatment or not, PLUS patients with ⩾1 relapse during the year prior to study entry while on therapy with other DMDs and ⩾1 T1 Gd+ or ⩾9 T2 lesions).

Results:

In the overall population, Cladribine Tablets 3.5 mg/kg reduced the risk of 6-month-confirmed Expanded Disability Status Scale (EDSS) worsening by 47% vs placebo. A risk reduction of 82% vs placebo was seen in both the HRA and HRA + DAT subgroups (vs 19% for non-HRA and 18% for non-HRA + DAT), indicating greater responsiveness to Cladribine Tablets 3.5 mg/kg in patients with HDA. There were consistent results for other efficacy endpoints. The safety profile in HDA patients was consistent with the overall CLARITY population.

Conclusion:

Patients with HDA showed clinical and MRI responses to Cladribine Tablets 3.5 mg/kg that were generally better than, or at least comparable with, the outcomes seen in the overall CLARITY population.

Exploration of machine learning techniques in predicting multiple sclerosis disease course

Objective

To explore the value of machine learning methods for predicting multiple sclerosis disease course.

Methods

1693 CLIMB study patients were classified as increased EDSS≥1.5 (worsening) or not (non-worsening) at up to five years after baseline visit. Support vector machines (SVM) were used to build the classifier, and compared to logistic regression (LR) using demographic, clinical and MRI data obtained at years one and two to predict EDSS at five years follow-up.

Results

Baseline data alone provided little predictive value. Clinical observation for one year improved overall SVM sensitivity to 62% and specificity to 65% in predicting worsening cases. The addition of one year MRI data improved sensitivity to 71% and specificity to 68%. Use of non-uniform misclassification costs in the SVM model, weighting towards increased sensitivity, improved predictions (up to 86%). Sensitivity, specificity, and overall accuracy improved minimally with additional follow-up data. Predictions improved within specific groups defined by baseline EDSS. LR performed more poorly than SVM in most cases. Race, family history of MS, and brain parenchymal fraction, ranked highly as predictors of the non-worsening group. Brain T2 lesion volume ranked highly as predictive of the worsening group.

Interpretation

SVM incorporating short-term clinical and brain MRI data, class imbalance corrective measures, and classification costs may be a promising means to predict MS disease course, and for selection of patients suitable for more aggressive treatment regimens.

Toll-like receptor signalling as a cannabinoid target in Multiple Sclerosis

Toll-like receptors (TLRs) are the sensors of pathogen-associated molecules that trigger tailored innate immune intracellular signalling responses to initiate innate immune reactions. Data from the experimental autoimmune encephalomyelitis (EAE) model indicates that TLR signalling machinery is a pivotal player in the development of murine EAE. To compound this, data from human studies indicate that complex interplay exists between TLR signalling and Multiple Sclerosis (MS) pathogenesis. Cannabis-based therapies are in clinical development for the management of a variety of medical conditions, including MS. In particular Sativex^®, a combination of plant-derived cannabinoids, is an oromucosal spray with efficacy in MS patients, particularly those with neuropathic pain and spasticity. Despite this, the precise cellular and molecular mechanisms of action of Sativex^® in MS patients remains unclear. This review will highlight evidence that novel interplay exists between the TLR and cannabinoid systems, both centrally and peripherally, with relevance to the pathogenesis of MS. This article is part of the Special Issue entitled 'Lipid Sensing G Protein-Coupled Receptors in the CNS'.

Friends or Foes: Matrix Metalloproteinases and Their Multifaceted Roles in Neurodegenerative Diseases

Neurodegeneration is a chronic progressive loss of neuronal cells leading to deterioration of central nervous system (CNS) functionality. It has been shown that neuroinflammation precedes neurodegeneration in various neurodegenerative diseases. Matrix metalloproteinases (MMPs), a protein family of zinc-containing endopeptidases, are essential in (neuro)inflammation and might be involved in neurodegeneration. Although MMPs are indispensable for physiological development and functioning of the organism, they are often referred to as double-edged swords due to their ability to also inflict substantial damage in various pathological conditions. MMP activity is strictly controlled, and its dysregulation leads to a variety of pathologies. Investigation of their potential use as therapeutic targets requires a better understanding of their contributions to the development of neurodegenerative diseases. Here, we review MMPs and their roles in neurodegenerative diseases: Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), and multiple sclerosis (MS). We also discuss MMP inhibition as a possible therapeutic strategy to treat neurodegenerative diseases.

Current management of relapsing-remitting multiple sclerosis

Multiple sclerosis was without effective disease-modifying therapy for many years. The introduction of the injectable therapies (interferon and glatiramer acetate) some 20 years ago was considered a major advance. Recent years have heralded a revolution in treatment options with the introduction of intravenous natalizumab and, even more recently, three oral agents. We are currently in a period of determining the best use of these therapies to ensure prevention of disease progression while maintaining patient safety. Despite these new treatments, there are still many patients living with disability as a result of multiple sclerosis and significant attention must be given to symptomatic management.

Multiple sclerosis presents with psychotic symptoms and coexists with hypertrophic cardiomyopathy

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system. Psychiatric symptoms are not infrequent during MS, yet onset of MS with psychosis is rarely encountered. A 27-year-old Caucasian male was admitted due to numbness in his right arm and difficulty in walking. His clinical and laboratorial exams lead to the MS diagnosis. Nine months earlier, he also developed psychotic disorder, not otherwise specified (PD-NOS). His sudden onset of PD-NOS, his rapid and complete response to antipsychotics, and a relatively short interval between psychiatric and neurological signs indicate a high likelihood that PD-NOS was a manifestation of underlying MS. He also suffers from hypertrophic obstructive cardiomyopathy (HOCM). The patient's neurological complaints were recovered with methylprednisolone (1 g/day, i.v.) given for five days. Glatiramer acetate (1 × 1 tb.s.c.) was prescribed for consolidation and, after nine months of his admission, the patient fully recovered from neurological and psychiatric complaints. Interestingly, very recent studies indicate specific alpha-actinin antibodies in MS and alpha-actinin mutations cause HOCM. Thus, concurrence of MS with HOCM can be even a new syndrome, if further genetic studies prove.

Symptoms, prevalence and impact of multiple sclerosis in younger patients: a multinational survey

BACKGROUND

Multiple sclerosis (MS) has a marked negative impact on patients' well-being and quality of life through a range of symptoms.

MATERIALS AND METHODS

This on-line survey was designed to determine younger MS patients' (≤35 years) assessment of their disease and the prevalence of MS symptoms in four European countries (Germany, Italy, Norway and Spain).

RESULTS

Prior to diagnosis, 62% of 200 interviewed subjects were unaware of the likely impact of MS. Fatigue (61%) was the most common single symptom reported by these younger MS patients, followed by six other symptoms with a prevalence >50% (visual disturbances, impaired mobility, dizziness, pain, spasticity and sleep disorders); related impairments were also often reported. Eighty-six percent of respondents indicated that their ability to work or study was negatively affected (39% could no longer participate in these activities), and 85% were unable to maintain their previous level of social interactions (one third frequently or never attended social activities).

CONCLUSIONS

MS is a highly symptomatic disease, even in younger persons (aged ≤35 years) with a short disease history, and its management to improve activities associated with daily living and quality of life remains a challenge. There is an unmet need for more effective MS symptom treatment options.

Clinical efficacy of BG-12 (dimethyl fumarate) in patients with relapsing-remitting multiple sclerosis: subgroup analyses of the DEFINE study

In the double-blind, placebo-controlled, Phase 3 DEFINE study in patients with relapsing–remitting multiple sclerosis, oral BG-12 (dimethyl fumarate) significantly reduced the proportion of patients relapsed (primary endpoint), the annualized relapse rate (ARR), and confirmed disability progression (secondary endpoints) at two years compared with placebo. We investigated the efficacy of BG-12 240 mg twice daily (BID) and three times daily (TID) in patient subgroups stratified according to baseline demographic and disease characteristics including gender, age, relapse history, McDonald criteria, treatment history, expanded disability status scale score, T2 lesion volume, and gadolinium-enhancing lesions. The clinical efficacy of BG-12 was generally consistent across patient subgroups and reflected positive findings in the overall DEFINE study population. Treatment with BG-12 BID and TID reduced the proportion of patients relapsed and the ARR at two years compared with placebo in all patient subgroups. Reductions in the risk of relapse with BG-12 BID vs. placebo ranged from 68% [hazard ratio 0.32 (95% confidence interval (CI) 0.16-0.62)] to 26% [0.74 (0.51-1.09)] and from 66% [0.34 (0.23-0.50)] to 25% [0.75 (0.42-1.36)] with BG-12 TID vs. placebo. BG-12 also reduced the risk of disability progression at two years compared with placebo in most subgroups of patients treated with the BID dosing regimen and in all subgroups treated with the TID regimen. These analyses indicate that treatment with BG-12 is consistently effective across a wide spectrum of patients with relapsing–remitting multiple sclerosis with varied demographic and disease characteristics.

Longitudinal changes in quality of life and related psychosocial variables in australians with multiple sclerosis

This study explored changes in quality of life (QOL) and psychosocial variables in a large cohort of people with multiple sclerosis (MS). A total of 1287 Australians with MS were administered self-report questionnaires at baseline and 24 months later to examine the impact of disease severity and duration, perceived stress, self-efficacy, depression, and social support on QOL and self-care. Over the 2-year survey period, MS remained stable for 70% of respondents. Disease severity correlated with social support at baseline but not at 24 months, when the only significant correlation with disease severity was that of the World Health Organization Quality of Life-100 instrument (WHOQOL-100) domain of Level of Independence. Although QOL improved across the WHOQOL-100 domains Physical, Psychological, Level of Independence, Social Relationships, and Environment, decreases were found in the WHOQOL-100 facet overall QOL and well-being as well as self-efficacy over the same time period. Hierarchical multiple regression was used to assess the utility of four control measures. MS disease severity and MS disease duration were entered at Step 1, explaining 16.1% of the variance in QOL. After entry of perceived stress, self-efficacy, social support, and the Depression, Anxiety and Stress Scale-21 (DASS-21) at Step 2, the total variance explained by the model as a whole was 55.8% (F6,1028 = 216.495, P < .001). Thus, even in the presence of stable disease and improvement in some WHOQOL-100 domains, overall QOL and self-efficacy had decreased at 2 years after the collection of baseline data. Loss of self-efficacy, increased stress, and depression are key factors in reduced QOL in people with MS.

Clinical efficacy of BG-12 (dimethyl fumarate) in patients with relapsing-remitting multiple sclerosis: subgroup analyses of the CONFIRM study

In the phase 3, randomized, placebo-controlled and active reference (glatiramer acetate) comparator CONFIRM study in patients with relapsing-remitting multiple sclerosis, oral BG-12 (dimethyl fumarate) reduced the annualized relapse rate (ARR; primary endpoint), as well as the proportion of patients relapsed, magnetic resonance imaging lesion activity, and confirmed disability progression, compared with placebo. We investigated the clinical efficacy of BG-12 240 mg twice daily (BID) and three times daily (TID) in patient subgroups stratified according to baseline demographic and disease characteristics including gender, age, relapse history, McDonald criteria, treatment history, Expanded Disability Status Scale score, T2 lesion volume, and gadolinium-enhancing lesions. BG-12 treatment demonstrated generally consistent benefits on relapse-related outcomes across patient subgroups, reflecting the positive findings in the overall CONFIRM study population. Treatment with BG-12 BID and TID reduced the ARR and the proportion of patients relapsed at 2 years compared with placebo in all subgroups analyzed. Reductions in ARR with BG-12 BID versus placebo ranged from 34% [rate ratio 0.664 (95% confidence interval 0.422-1.043)] to 53% [0.466 (0.313-0.694)] and from 13% [0.870 (0.551-1.373)] to 67% [0.334 (0.226-0.493)] with BG-12 TID versus placebo. Treatment with glatiramer acetate reduced the ARR and the proportion of patients relapsed at 2 years compared with placebo in most patient subgroups. The results of these analyses indicate that treatment with BG-12 is effective on relapses across a broad range of patients with relapsing-remitting multiple sclerosis with varied demographic and disease characteristics.

Current and future therapies for multiple sclerosis

With the introduction of interferon- β 1b in 1993 as the first FDA-approved treatment for multiple sclerosis, the era of treatment of this incurable disease began, and its natural course was permanently changed. Currently, seven different treatments for patients with multiple sclerosis with different mechanisms of action and dissimilar side effect profiles exist. These medications include interferon- β 1a intramuscular (Avonex), interferon- β 1a subcutaneous (Rebif), interferon- β 1b subcutaneous (Betaseron/Extavia), glatiramer acetate (Copaxone), natalizumab (Tysabri), fingolimod (Gilenya), teriflunomide (Aubagio), and mitoxantrone (Novantrone). In addition, a large number of clinical trials are being conducted to assess the safety and efficacy of various experimental agents in patients with multiple sclerosis, including alemtuzumab, dimethyl fumarate, laquinimod, rituximab, daclizumab, and cladribine. In this paper, the author presents a concise and comprehensive review of present and potential treatments for this incurable disease.

Predictors of Conversion to Multiple Sclerosis in Patients with Clinical Isolated Syndrome Using the 2010 Revised McDonald Criteria

Background. Clinically isolated syndrome (CIS) is the first neurologic episode of multiple sclerosis (MS). Magnetic resonance imaging (MRI) and clinical features are used to predict risk of conversion to MS. Objectives. The aim of this prospective study is to evaluate predictors of conversion of CIS to McDonald MS. Method. 97 patients with CIS have been followed for 2 years. Age of onset, gender, initial clinical presentation, and MRI brain and spine were assessed. The 2010 revised McDonald criteria were applied. Results. Fifty-nine patients (60.8%) with CIS converted to McDonald MS after 10.1 + 4.2 months. Thirty-seven (38.1%) of the convertors satisfied the diagnostic criteria based on the radiological parameters, while 21.7% sustained their second clinical events. A multivariate regression analysis revealed that high number of lesions in MRI (P = 0.001) and earlier age of onset (P = 0.043) predicted the conversion of CIS to McDonald MS. Gender (P = 0.5) and initial clinical presentation (optic pathway (P = 0.4), supratentorial (P = 0.91), brain stem/ cerebellum (P = 0.97), and spinal (P = 0.76)) were not statistically significant. Conclusion. Age of onset and MRI parameters can be used as predictors of CIS conversion to McDonald MS. Application of the 2010 revised McDonald criteria allows an earlier MS diagnosis.