Clinically Definite Multiple Sclerosis Research Articles

Long-term clinical outcomes in patients with CIS treated with interferon beta-1b: results from the 15-year follow up of the BENEFIT trial.

Multiple sclerosis (MS) treatment intervention with immunomodulating therapy at early disease stage improves short term clinical outcomes. The objective of this study is to describe the long-term outcomes and healthcare utilization of patients with clinically isolated syndrome (CIS) included in the Betaferon®/Betaseron® in Newly Emerging MS for Initial Treatment (BENEFIT) randomized, parallel group trial. In BENEFIT patients were assigned to "early" IFNB-1b treatment or placebo ("delayed" treatment). After 2years or conversion to clinically definite multiple sclerosis (CDMS), all patients were offered IFNB-1b and were reassessed 15years later. Of 468 patients, 261 (55.8%) were enrolled into BENEFIT 15 (161 [55.1%] from the early, 100 [56.8%] from the delayed treatment arm). In the full BENEFIT analysis set, risk of conversion to CDMS remained lower in the early treatment group ( - 30.5%; hazard ratio 0.695 [95% CI, 0.547-0.883]; p = 0.0029) with a 15.7% lower risk of relapse than in the delayed treatment group (p = 0.1008). Overall, 25 patients (9.6%; 9.9% early, 9.0% delayed) converted to secondary progressive multiple sclerosis. Disability remained low and stable with no significant difference between groups in Expanded Disability Status Scale score or MRI metrics. Paced Auditory Serial Addition Task-3 scores were better in the early treatment group (p = 0.0036 for treatment effect over 15years). 66.3% of patients were still employed at Year 15 versus 74.7% at baseline. In conclusion, results 15years from initial randomization support long-term benefits of early treatment with IFNB-1b.

Predicting the conversion from clinically isolated syndrome to multiple sclerosis: An explainable machine learning approach

IntroductionPredicting the conversion of clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) is critical to personalizing treatment planning and benefits for patients. The aim of this study is to develop an explainable machine learning (ML) model for predicting this conversion based on demographic, clinical, and imaging data. MethodThe ML model, Extreme Gradient Boosting (XGBoost), was employed on the public dataset of 273 Mexican mestizo CIS patients with 10-year follow-up. The data was divided into a training set for cross-validation and feature selection, and a holdout test set for final testing. Feature importance was determined using the SHapley Additive Explanations library (SHAP). Then, two experiments were conducted to optimize the model's performance by selectively adding variables and selecting the most contributive variables for the final model. ResultsNine variables including age, gender, schooling, motor symptoms, infratentorial and periventricular lesion at imaging, oligoclonal band in cerebrospinal fluid, lesion and symptoms types were significant. The model achieved an accuracy of 83.6 %, AUC of 91.8 %, sensitivity of 83.9 %, and specificity of 83.4 % in cross-validation. In the final testing, the model achieved an accuracy of 78.3 %, AUC of 85.8 %, sensitivity of 75 %, and specificity of 81.1 %. Finally, a web-based demo of the model was created for testing purposes. ConclusionThe model, focusing on feature selection and interpretability, effectively stratifies risk for treatment decisions and disability prevention in MS patients. It provides a numerical risk estimate for CDMS conversion, enhancing transparency in clinical decision-making and aiding in patient care.

Disease progression in the first 5 years of treatment in multiple sclerosis: Predictive value of early brain and lesion volume changes

Background: Whether the degree of inflammation (and its resolution) and neurodegeneration after treatment initiation predicts disease progression in multiple sclerosis (MS) remains unclear. Objectives: To assess the predictive value of magnetic resonance imaging (MRI)-derived brain and lesion volume (LV) changes in years 1 and 2 of treatment for disease progression. Methods: Patients receiving early interferon beta-1a treatment in REFLEX/REFLEXION (N = 262) were included. Predictive regression models included new/enlarging LV (positive activity), disappearing/shrinking LV (negative activity), and global/central atrophy during years 1 and 2. Results: Faster global atrophy and/or pseudo-atrophy and positive lesion activity in years 1 and 2 related to an increased probability and faster conversion to clinically definite multiple sclerosis (CDMS). Negative lesion activity in year 1 and slower central atrophy in year 2 were predictive of confirmed disability progression (9-Hole Peg Test). Positive lesion activity in year 2 was predictive of faster global atrophy, while positive lesion activity in years 1 and 2 was predictive of faster central atrophy. Conclusions: A higher degree of global atrophy and/or pseudo-atrophy in year 1 was predictive of CDMS. Positive lesion activity in any year was related to CDMS and neurodegeneration. Disability was related to negative lesion activity in year 1 and slower central atrophy in year 2.

Impaired intestinal permeability in patients with multiple sclerosis.

A number of recent studies have shown that the intestinal microbiome, part of the brain-gut axis, is implicated in the pathophysiology of multiple sclerosis. An essential part of this axis, is the intestinal barrier and gastrointestinal disorders with intestinal barrier dysregulation appear to be linked to CNS demyelination, and hence involved in the etiopathogenesis of multiple sclerosis (MS). The aim of this study was to evaluate the integrity of the intestinal barrier in patients with clinically definite multiple sclerosis (CDMS) and clinically isolated syndrome (CIS) using two serum biomarkers, claudin-3 (CLDN3), a component of tight epithelial junctions, and intestinal fatty acid binding protein (I-FABP), a cytosolic protein in enterocytes. Serum levels of CLDN3 in 37 MS patients and 22 controls, and serum levels of I-FABP in 46 MS patients and 51 controls were measured using commercial ELISA kits. Complete laboratory tests excluded the presence of gluten-related disorders in all subjects. Thirty MS patients received either disease-modifying drugs (DMD), immunosuppression (IS) or corticosteroid treatment. CLDN3 levels were only significantly higher in the MS patients treated with DMD or IS compared to the control group (P=0.006). There were no differences in I-FABP serum levels between the groups. Serum CLDN3 levels did not correlate with serum I-FABP levels in CDMS, in CIS patients or controls. In multiple sclerosis patients, the intestinal epithelium may be impaired with increased permeability, but without significant enterocyte damage characterized by intracellular protein leakage. Based on our data, CLDN3 serum levels appear to assess intestinal dysfunction in MS patients but mainly in treated ones.

Evaluation of multiple sclerosis severity using a new OCT tool.

To assess the ability of a new posterior pole protocol to detect areas with significant differences in retinal nerve fiber layer (RNFL) and ganglion cell layer (GCL) thickness in patients with multiple sclerosis versus healthy control subjects; in addition, to assess the correlation between RNFL and GCL thickness, disease duration, and the Expanded Disability Status Scale (EDSS). We analyzed 66 eyes of healthy control subjects and 100 eyes of remitting-relapsing multiple sclerosis (RR-MS) patients. Double analysis based on first clinical symptom onset (CSO) and conversion to clinically definite MS (CDMS) was performed. The RR-MS group was divided into subgroups by CSO and CDMS year: CSO-1 (≤ 5 years) and CSO-2 (≥ 6 years), and CDMS-1 (≤ 5 years) and CDMS-2 (≥ 6 years). Significant differences in RNFL and GCL thickness were found between the RR-MS group and the healthy controls and between the CSO and CDMS subgroups and in both layers. Moderate to strong correlations were found between RNFL and GCL thickness and CSO and CDMS. Furthermore, we observed a strong correlation with EDSS 1 year after the OCT examination. The posterior pole protocol is a useful tool for assessing MS and can reveal differences even in early stages of the disease. RNFL thickness shows a strong correlation with disability status, while GCL thickness correlates better with disease duration.

Temporal evolution of new T1-weighted hypo-intense lesions and central brain atrophy in patients with a first clinical demyelinating event treated with subcutaneous interferon β-1a

ObjectiveEvaluate the effect of subcutaneous interferon β-1a (sc IFN β-1a) versus placebo on the evolution of T1-weighted MRI lesions and central brain atrophy in in patients with a first clinical demyelinating event (FCDE).MethodsPost hoc analysis of baseline-to-24 month MRI data from patients with an FCDE who received sc IFN β-1a 44 μg once- (qw) or three-times-weekly (tiw), or placebo, in REFLEX. Patients were grouped according to treatment regimen or conversion to clinically definite MS (CDMS) status. The intensity of new lesions on unenhanced T1-weighted images was classified as T1 iso- or hypo-intense (black holes) and percentage ventricular volume change (PVVC) was assessed throughout the study.ResultsIn patients not converting to CDMS, sc IFN β-1a tiw or qw, versus placebo, reduced the overall number of new lesions (P < 0.001 and P = 0.005) and new T1 iso-intense lesions (P < 0.001 and P = 0.002) after 24 months; only sc IFN β-1a tiw was associated with fewer T1 hypo-intense lesions versus placebo (P < 0.001). PVVC findings in patients treated with sc IFN β-1a suggested pseudo-atrophy that was ~ fivefold greater versus placebo in the first year of treatment (placebo 1.11%; qw 4.28%; tiw 6.76%; P < 001); similar findings were apparent for non-converting patients.ConclusionsIn patients with an FCDE, treatment with sc IFN β-1a tiw for 24 months reduced the number of new lesions evolving into black holes.

Imaging Characteristics of Choroid Plexuses in Presymptomatic Multiple Sclerosis: A Retrospective Study.

Background and ObjectivesRecent imaging studies have suggested a possible involvement of the choroid plexus (CP) in multiple sclerosis (MS). Here, we investigated whether CP changes are already detectable at the earliest stage of MS, preceding symptom onset.MethodsThis study is a retrospective analysis of 27 patients with presymptomatic MS, 97 patients with clinically definite MS (CDMS), and 53 healthy controls (HCs) who underwent a cross-sectional 3T-MRI acquisition; of which, 22 MS, 19 HCs, and 1 presymptomatic MS (evaluated 8 months before conversion to CDMS) also underwent translocator protein (TSPO) 18F-DPA-714 PET and were included in the analysis. CPs were manually segmented on 3D T1-weighted images for volumetric analysis. CP 18F-DPA-714 uptake, reflecting inflammation, was calculated as the average standardized uptake value (SUV). Multivariable regressions adjusted for age, sex, and ventricular and brain volume were fitted to test CP volume differences between presymptomatic patients and MS or HCs. For the presymptomatic case who also had 18F-DPA-714 PET, CP SUV differences with MS and HCs were assessed through Crawford-Howell tests. To provide further insight into the interpretation of 18F-DPA-714-PET uptake at the CP level, a postmortem analysis of CPs in MS vs HCs was performed to characterize the cellular localization of TSPO expression.ResultsCompared with HCs, patients with presymptomatic MS had 32% larger CPs (β = 0.38, p = 0.001), which were not dissimilar to MS CPs (p = 0.69). Moreover, in the baseline scan of the presymptomatic case who later on developed MS, TSPO PET showed 33% greater CP inflammation vs HCs (p = 0.04), although no differences in 18F-DPA-714 uptake were found in parenchymal regions vs controls. CP postmortem analysis identified a population of CD163+ mononuclear phagocytes expressing TSPO in MS, possibly contributing to the increased 18F-DPA-714 uptake.DiscussionWe identified an imaging signature in CPs at the presymptomatic MS stage using MRI; in addition, we found an increased CP inflammation with PET in a single presymptomatic patient. These findings suggest a role of CP imaging as an early biomarker and argue for the involvement of the blood-CSF barrier dysfunction in disease development.Trial Registration InformationAPHP-20210727144630, EudraCT-Number: 2008-004174-40; ClinicalTrials.gov: NCT02305264, NCT01651520, and NCT02319382.

Sensitivity and Specificity of Central Vein Sign as a Diagnostic Biomarker in Egyptian Patients with Multiple Sclerosis.

PurposeMagnetic resonance imaging (MRI) findings in multiple sclerosis (MS) overlap with numerous MS mimics. The central vein sign (CVS) can help to differentiate MS from other mimics. This study aimed to determine the value of CVS as a diagnostic biomarker for distinguishing MS from its mimics.Patients and MethodsPatients were prospectively recruited into two groups: a typical clinical (TC) MS presentation with an atypical MRI for MS and an atypical clinical (ATC) MS presentation with a typical MRI for MS. Patients underwent a 1.5T MRI brain scan with a T2*-weighted gradient-echo sequence. The presence of the central vein was assessed by a radiologist blinded to patients’ clinical presentation. The MS consultant made the final diagnosis without reviewing the T2*-weighted gradient-echo sequence or the CVS analysis results.ResultsForty-two patients were included. Ten (40%) out of 25 TC patients were diagnosed with clinically definite MS (CDMS), with a mean percentage of CV-positive lesions of 65.5% among CDMS patients. Four (23.5%) out of 17 ATC patients were diagnosed with CDMS with a mean CV-positive lesions percentage of 68.25% among CDMS patients. TC patients who were not diagnosed as CDMS had a mean CV-positive lesions percentage of 10.13%, while ATC patients who were not diagnosed as CDMS had a mean CV-positive lesions percentage of 16.38%. The CVS showed 85.7% sensitivity and 100% specificity (95% confidence interval: 0.919–1.018) for diagnosis of MS at a cut off value of 45% (p < 0.001). The percentage of CV-positive lesions was significantly higher in oligoclonal bands (OCBs) positive patients compared to OCBs negative patients (p < 0.001) and those with spinal cord lesions compared to patients with no spinal cord lesions (p = 0.017).ConclusionThe CVS has 85.7% sensitivity and 100% specificity for the diagnosis of MS at a cutoff value of 45%.

Minocycline treatment in clinically isolated syndrome and serum NfL, GFAP, and metalloproteinase levels

Background: In the trial of Minocycline in Clinically Isolated Syndrome (MinoCIS), minocycline significantly reduced the risk of conversion to clinically definite multiple sclerosis (CDMS). Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are emerging biomarkers in MS, and minocycline modulates matrix metalloproteinases (MMPs). Objective: To assess the value of blood NfL and GFAP as a biomarker of baseline and future disease activity and its utility to monitor treatment response in minocycline-treated patients with clinically isolated syndrome (CIS). Methods: We measured NfL, GFAP, and MMPs in blood samples from 96 patients with CIS from the MinoCIS study and compared biomarkers with clinical and radiologic characteristics and outcome. Results: At baseline, NfL levels correlated with T2 lesion load and number of gadolinium-enhancing lesions. Baseline NfL levels predicted conversion into CDMS at month 6. GFAP levels at baseline were correlated with T2 lesion volume. Minocycline treatment significantly increased NfL levels at 3 months but not at 6 months, and decreased GFAP levels at month 6. Minocycline decreased MMP-7 concentrations at month 1. Discussion: Blood NfL levels are associated with measures of disease activity in CIS and have prognostic value. Minocycline increased NfL levels at month 3, but reduced GFAP and MMP-7 levels.

Prediction of Conversion from CIS to Clinically Definite Multiple Sclerosis Using Convolutional Neural Networks.

Multiple sclerosis (MS) is a chronic neurological disease of the central nervous system (CNS). Early diagnosis of MS is highly desirable as treatments are more effective in preventing MS-related disability when given in the early stages of the disease. The main aim of this research is to predict the occurrence of a second MS-related clinical event, which indicates the conversion of clinically isolated syndrome (CIS) to clinically definite MS (CDMS). In this study, we apply a branch of artificial intelligence known as deep learning and develop a fully automated algorithm primed with convolutional neural network (CNN) that has the ability to learn from MRI scan features. The basic architecture of our algorithm is that of the VGG16 CNN model, but amended such that it can handle MRI DICOM images. A dataset comprised of scans acquired using two different scanners was used for the purposes of verification of the algorithm. A group of 49 patients had volumetric MRI scans taken at onset of the disease and then again one year later using one of the two scanners. In total, this yielded 7360 images which were then used for training, validation, and testing of the algorithm. Initially, these raw images were taken through 4 steps of preprocessing. In order to boost the efficiency of the process, we pretrained our algorithm using the publicly available ADNI dataset used to classify Alzheimer's disease. Finally, we used our preprocessed dataset to train and test the algorithm. Clinical evaluation conducted a year after the first time point revealed that 26 of the 49 patients had converted to CDMS, while the remaining 23 had not. Results of testing showed that our algorithm was able to predict the clinical results with an accuracy of 88.8% and with an area under the curve (AUC) of 91%. A highly accurate algorithm was developed using CNN approach to reliably predict conversion of patients with CIS to CDMS using MRI data from two different scanners.

Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis

Although the gold standard in predicting future progression from clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) consists in the McDonald criteria, efforts are being made to employ various advanced MRI techniques for predicting clinical progression. This study's main aim was to evaluate the predictive power of diffusion tensor imaging (DTI) of the brain and brain volumetry to distinguish between patients having CIS with future progression to CDMS from those without progression during the following 2 years and to compare those parameters with conventional MRI evaluation. All participants underwent an MRI scan of the brain. DTI and volumetric data were processed and various parameters were compared between the study groups. We found significant differences between the subgroups of patients differing by future progression to CDMS in most of those DTI and volumetric parameters measured. Fractional anisotropy of water diffusion proved to be the strongest predictor of clinical conversion among all parameters evaluated, demonstrating also higher specificity compared to evaluation of conventional MRI images according to McDonald criteria. Conclusion: Our results provide evidence that the evaluation of DTI parameters together with brain volumetry in patients with early-stage CIS may be useful in predicting conversion to CDMS within the following 2 years of the disease course.

Correlation between vitamin D and alterations in MRI among patients with multiple sclerosis.

Multiple sclerosis (MS) is a disease of unknown etiology. Diagnosis of MS is primarily based on detection of myelin damage by magnetic resonance imaging (MRI) and classification of demyelination according to the McDonald Criteria. Cholecalciferol (vitamin D3) has been shown to affect the onset and progression of MS via its immunomodulating properties. The role of vitamin D in MS pathogenesis and treatment deserves further investigation, as there is sufficient evidence to suggest a correlation between vitamin D blood level and brain MRI lesion load. Elevated blood vitamin D concentration is linked with demyelination, as determined by T2-weighted and gadolinium-enhanced MRI. Blood vitamin D blood levels are affected by sun exposure, among other factors; however, there is no evident connection between abnormalities in myelination and seasonality. Vitamin D supplementation among MS patients has been associated with a lower probability of new lesions and loss of existing lesion volume, as observed seen in T1-weighted MRI scans (p=0.03). An increase in TGF-beta levels was noted among patients using vitamin D supplementation, which may suggest a mechanism by which cholecalciferol may improve MS prognosis. Patients with clinically isolated syndrome (CIS) exhibited an inverse correlation between vitamin D concentration and risk of new lesions as seen in T2-weighted MRI scans. Moreover, vitamin D intake among these patients lowered the risk of progression to clinically definite multiple sclerosis (CDMS). Daily intake of vitamin D during fingolimod treatment correlated strongly with lower numbers of new lesions. High dose vitamin D supplementation during interferon beta-1a treatment was linked to lower mean percentage of lesions compared with volume pre-treatment seen by T2-weighted MRI. Recent findings advocate for the monitoring of vitamin D blood levels in MS patients. Vitamin D supplementation should be considered in both MS patients and patients with CIS, where other signs of disease may be delayed. Moreover, vitamin D supplementation appears to lower the likelihood of new demyelination changes apparent in MRI examinations.

Averting multiple sclerosis long-term societal and healthcare costs: The Value of Treatment (VoT) project

Background and purposeThe recent report on Value-of-Treatment (VoT) project highlights the need for early diagnosis-intervention, integrated, seamless care underpinning timely care pathways and access to best treatments. The VoT-multiple-sclerosis (MS) economic case study analysis aimed to estimate the effectiveness/cost-effectiveness of both early treatment and reducing MS risk factors (e.g. smoking and vitamin D insufficiency). MethodsA series of decision analytical modellings were developed and applied to estimate the cost-effectiveness of: (1) reducing the conversion from clinically-isolated-syndrome (CIS) to clinically-definite-MS (CDMS); (2) smoking cessation and increase of 25 hydroxyvitamin D (25(OH)D) serum level. Both (1) and (2) considered socioeconomic impact on averted MS disability progression. Costs were reported for societal and healthcare provider perspectives (pending on data across nations; Euros). Effectiveness was expressed as Quality-Adjusted-Life-Years (QALYs) gains. Long term (25, 30, 40,50-years) and short (one-year) timelines were considered for (1) and (2), respectively. ResultsEarly treatment was cost-effective for the health care provider and both cost-effective/cost-saving for the society across time-horizons and nations. Smoking cessation and an increase of 25(OH)D in MS patients were both cost-effective/cost-saving across nations. ConclusionsTo the best of our knowledge, our work provides the first economic evidence to base appropriate public health interventions to reduce the MS burden in Europe.

THE VALUE OF BLINK REFLEX IN EARLY DIAGNOSIS OF MULTIPLE SCLEROSIS.

SUMMARYThe aim was to determine differences of blink reflex in clinically definite multiple sclerosis (CDMS) and clinically isolated syndrome (CIS) in patients presented with symptoms and signs of brainstem impairment. The study included 20 patients diagnosed with CDMS, 20 with CIS, and 20 healthy controls. We recorded latencies of early (R1) and late component ipsilaterally (R2) and contralaterally (R2’), and occurrence of irritative component (R3). We analyzed data on sex, age, signs of brainstem impairment and magnetic resonance imaging (MRI) findings for the presence of brainstem demyelinating lesions. There was no statistically significant difference between patient groups according to sex, age, symptoms of brainstem involvement and MRI findings. There was no statistically significant difference in R1 component latencies and R2 latencies on the right side. Latencies of R2 on the left and R2’ on the right were statistically longer in CDMS group. There was no difference in the appearance of R3 component. In conclusion, blink reflex was found to be a very sensitive and useful diagnostic tool in the assessment of brainstem structures, especially because abnormalities are seen not only in CDMS but also in CIS. Slowing of the late component as a sign of dysfunction in the efferent part of the reflex arc is not very specific but is a highly sensitive finding.

Subgroup analysis of clinical and MRI outcomes in participants with a first clinical demyelinating event at risk of multiple sclerosis in the ORACLE-MS study

BackgroundIn the Phase 3, 96-week ORACLE-MS study, cladribine 10 mg tablets (3.5 mg/kg or 5.25 mg/kg cumulative dose over 2 years) significantly reduced the rate of conversion to clinically definite multiple sclerosis (CDMS) per the Poser criteria (henceforth referred to as CDMS), multiple sclerosis (MS) per the 2005 McDonald criteria, and the number of new or persisting T1 gadolinium-enhancing (Gd+), new or enlarging T2, and combined unique active (CUA) lesions versus placebo in participants with a first clinical demyelinating event (FCDE). Patient demographic and disease characteristics may be predictors of disease progression. The current study analyzed the effect of cladribine tablets in subgroups of participants in the ORACLE-MS study by baseline demographics and disease characteristics. MethodsThis analysis retrospectively examined data collected from 616 participants enrolled in the ORACLE-MS study (placebo, n=206; cladribine tablets 3.5 mg/kg, n=206; cladribine tablets 5.25 mg/kg, n=204). Five subgroups were predetermined by baseline demographics, including sex, age (<30 or ≥30 years), classification of FCDE, and lesion characteristics, including absence or presence of T1 Gd+ lesions and number of T2 lesions (<9 or ≥9). Selected endpoints of the ORACLE-MS study were re-analyzed for these subgroups. The primary and main secondary endpoints were time to conversion to CDMS and MS (2005 McDonald criteria), respectively. Secondary magnetic resonance imaging (MRI) endpoints included cumulative T1 Gd+ and new or enlarging T2 lesions. Cox proportional hazards models were used to evaluate time to conversion to CDMS and MS (2005 McDonald criteria). This analysis focused primarily on the results for the cladribine tablets 3.5 mg/kg group because this dosage is approved for relapsing forms of MS. ResultsIn the overall intent-to-treat (ITT) population, cladribine tablets 3.5 mg/kg significantly reduced the risk of conversion to CDMS (hazard ratio [HR]=0.326; P<0.0001) and MS (2005 McDonald criteria; HR=0.485; P<0.0001) versus placebo. Similar effects of cladribine tablets on risk of conversion were observed in post hoc analyses of subgroups defined by various baseline characteristics. In both the ITT population and across subgroups, cladribine tablets 3.5 mg/kg reduced the numbers of cumulative T1 Gd+ (range of rate ratios: 0.106–0.399), new or enlarging T2 (range of rate ratios: 0.178–0.485), and CUA (range of rate ratios: 0.154–0.384) lesions versus placebo (all nominal P<0.03). Multivariate Cox proportional hazards models revealed that age (HR=0.577, nominal P<0.0001), FCDE classification (HR=0.738, nominal P=0.0043), presence of T1 Gd+ lesions (HR=0.554, nominal P<0.0001), and number of T2 lesions (HR=0.417, nominal P<0.0001) at baseline were factors associated with risk of conversion to MS (2005 McDonald criteria), whereas no baseline factors examined were associated with risk of conversion to CDMS. ConclusionIn this post hoc analysis of the ORACLE-MS study, cladribine tablets reduced the risk of conversion to multiple sclerosis and lesion burden in participants with an FCDE in the overall ITT population and multiple subgroups defined by baseline demographics and lesion characteristics.

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome.

This study's aim was to investigate diffusion properties of the cervical spinal cord in patients with clinically isolated syndrome (CIS) through analysis of diffusion tensor imaging (DTI) data and thereby to assess the capacity of this technique for predicting the progression of CIS to clinically definite multiple sclerosis (CDMS). The study groups were comprised of 47 patients with CIS (15 of them with progression to CDMS within 2 years of follow-up) and 57 asymptomatic controls. All patients and controls had undergone magnetic resonance imaging (MRI) of the cervical spine including DTI and brain MRI. Methodological approaches included histogram analysis of the cervical cord's diffusion parameters and evaluation of T2 hyperintense lesions of the spinal cord and brain. All parameters were compared between the study groups. Sensitivity and specificity calculations were then performed with a view to predicting conversion to CDMS. The patient subgroups defined by progression to CDMS differed significantly in values of fractional anisotropy (FA) kurtosis measured within white matter (WM) and normal-appearing WM (NAWM). The same parameters also differed significantly when patients with progression to CDMS were compared to healthy controls. Receiver operating characteristic (ROC) analysis revealed sensitivity and specificity of FA kurtosis of WM and NAWM of 93% and 72%, respectively, in terms of predicting CIS to CDMS progression. This study presents evidence that histogram analysis of diffusion parameters of the cervical spinal cord in patients with CIS may be helpful in predicting conversion to CDMS.

The importance of follow-up and re-diagnosis of patients with demyelinating syndrome suspicion - a case study of a conversion from radiologically isolated syndrome to clinically definite multiple sclerosis

Introduction. Radiologically isolated syndrome (RIS) is a term to describe criteria of diagnosis for the individuals, who underwent brain MRI because of other reasons than multiple sclerosis (MS) suspicion, but turned out to have white matter lesions similar to those present in patients with diagnosed MS. RIS is a separate entity with the presence of MR detected lesions strongly suggestive of MS in patients with no neurological manifestations. Although RIS is not the first stage of MS in every individual, 30-45% of them will present clinical symptoms later. There is a consensus, that about 1/3 of RIS patients will convert to clinically definite MS (CDMS) within 5 years of follow-up. There are some significant predictors of conversion, such as: age (&lt; 37 when diagnosed), male sex and presence of lesions in spinal cord.Case report. We describe a case of a 35-year-old female patient who was initially diagnosed with RIS after MRI performed due to migraine. After about year and a half of follow-up she presented first clinical manifestation (temporary left eye blindness) followed by second episode (in the second eye), a progression in MRI and appearance of oligoclonal bands in cerebrospinal fluid.Discussion. Among individuals with incidentally found lesions in MRI, only few happen to have white matter findings similar to demyelinating lesions in patients with CDMS. Non-specific MRI white matter lesions are much more often than than those fulfilling 2017 MAGNIMS criteria.There is more research needed to determine significant risk factors for conversion from RIS to CDMS. In RIS patients watchful neurological supervision is indispensable.

Late onset multiple sclerosis - multiparametric MRI characteristics.

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system (CNS) with heterogenic character. Typical age of onset is between 20 and 35 years. Clinically definite multiple sclerosis (CDMS) can occur also in patients older than 50 years. This type of MS is called Late Onset Multiple Sclerosis (LOMS). Until now, the differences in clinical course, type of first symptoms, and prognosis of LOMS have not been well established. Also the MRI characteristics of patients with LOMS have not been determined. Neither conventional nor nonconventional MRI features are known to be typical for LOMS. To investigate the MRI characteristics of LOMS patients based on conventional and non-conventional techniques. Twenty patients with LOMS were included in the study and 17 patients with typical onset of MS (TOMS) served as a comparative group. The two groups were matched in terms of disease duration and EDSS score. Conventional (T1- and T2-weighted images) and non-conventional (magnetization transfer images, proton magnetic resonance spectroscopy) MRI techniques were performed in all participants. Parameters from both techniques were compared between LOMS and TOMS groups. Patients with late onset of MS had lower Brain Parenchyma Fraction (BPF) (p < 0.001) and Grey Matter Fraction (GMF) values (p = 0.008) than the TOMS group. There was no statistical differences in White Matter Fraction (WMF) values between the groups (p = 0.572). Patients with LOMS and TOMS statistically differed in the peak height (p = 0.018), peak location (p < 0.001), and MTR mean value (p < 0.001). Patients with LOMS manifested lower concentrations of NAA+NAAG and NAA+NAAG/Cr than patients with TOMS (p = 0.009 and p < 0.001 respectively). No statistical difference was found between the groups in terms of mean mIn (p = 0.346) and mean GPC+PCh (p = 0.563). We did not find a statistical difference in T1- and T2- lesion load (p = 0.1, p = 0.3 respectively) although T1/T2 lesion ratio was higher in the LOMS group. MRI parameters in patients with LOMS differed significantly from those obtained from the TOMS group. Our results, which indicate that in LOMS patients brain tissue damage is more advanced than in TOMS patients, may contribute to a better understanding of the heterogeneity of MS.

Intrathecal IgM as a Prognostic Marker in Multiple Sclerosis.

One of the great challenges related to multiple sclerosis (MS) research is the identification of markers of prognosis and treatment response. In the last couple of decades, an association between intrathecally produced immunoglobulin M (IgM) and a more severe course of the disease has been suggested. Therefore, the objective of this literature review was to gather and review evidence from studies on intrathecally produced IgM as a prognostic marker of clinically isolated syndrome (CIS) converting to clinically definite MS (CDMS), the prognosis of MS and treatment response in patients with MS. This was accomplished through a systematic literature search of the PubMed database, which resulted in 719 hits that were then systematically assessed with well-defined inclusion and exclusion criteria. This process resulted in 29 relevant research articles. The combined evidence from the current literature suggests that intrathecal IgM is a negative prognostic marker that identifies patients with CIS who have a higher risk of converting to CDMS and patients with relapsing-remitting MS (RRMS) with a higher risk of a more aggressive disease course. However, a few studies, some with large studied populations, have reported conflicting results regarding MS prognosis. Further research is needed to establish a more accurate estimate of the effect of intrathecal IgM on the disease course of MS. Further research is also necessary to evaluate the potential prognostic value of intrathecal IgM in treatment response.

Editors' note: Menarche, pregnancies, and breastfeeding do not modify long-term prognosis in multiple sclerosis

In the article, “Menarche, pregnancies, and breastfeeding do not modify long-term prognosis in multiple sclerosis,” Zuluaga et al. reported that age at menarche, pregnancy before or after the diagnosis of clinically isolated syndrome (CIS), and breastfeeding did not substantially modify the risk of progressing to clinically definite multiple sclerosis (CDMS) or disability accrual per the Expanded Disability Status Scale (EDSS) in a cohort of 501 female participants with CIS. In response, Drs. Jokubaitis and Dobson argued that the patients with CDMS should be examined separately for the EDSS outcomes because a substantial proportion of the overall cohort did not have a second clinical attack and did not meet either the McDonald 2010 or Barkhof criteria for MS. They seek additional details regarding the propensity score–matched score analysis because a smaller number of matched pairs could limit the generalizability of the results. In addition, they noted that the analyses for the association of pregnancy and breastfeeding on time to EDSS 3.0 were not adjusted for relapse and that the differences between exclusive breastfeeding and mixed feeding strategies merit further exploration in prospective studies. They also argue that the harmful effects of suspending disease-modifying treatments (DMTs) in those with aggressive disease who become pregnant should be considered. Responding to these comments, Drs. Tintore et al. noted that they built the model for time to EDSS 3.0 over the CDMS subcohort, in addition to providing further details of the propensity score–matched analyses. They reported additional analyses for the adjusted hazard ratio for pregnancy (but not for breastfeeding) on considering the annualized relapse rate over the first 3 and 5 years of disease and acknowledged that additional details of breastfeeding were unavailable. Regarding the problem of suspending DMTs in pregnant patients, they noted that they are analyzing a subgroup of women treated with natalizumab or fingolimod. As greater numbers of young women become eligible for DMTs with more inclusive revisions of the McDonald criteria, neurologists are likely to encounter challenging questions about the association of pregnancies and breastfeeding with MS disease activity, and the attendant DMT-related dilemmas, in their practice. In the article, “Menarche, pregnancies, and breastfeeding do not modify long-term prognosis in multiple sclerosis,” Zuluaga et al. reported that age at menarche, pregnancy before or after the diagnosis of clinically isolated syndrome (CIS), and breastfeeding did not substantially modify the risk of progressing to clinically definite multiple sclerosis (CDMS) or disability accrual per the Expanded Disability Status Scale (EDSS) in a cohort of 501 female participants with CIS. In response, Drs. Jokubaitis and Dobson argued that the patients with CDMS should be examined separately for the EDSS outcomes because a substantial proportion of the overall cohort did not have a second clinical attack and did not meet either the McDonald 2010 or Barkhof criteria for MS. They seek additional details regarding the propensity score–matched score analysis because a smaller number of matched pairs could limit the generalizability of the results. In addition, they noted that the analyses for the association of pregnancy and breastfeeding on time to EDSS 3.0 were not adjusted for relapse and that the differences between exclusive breastfeeding and mixed feeding strategies merit further exploration in prospective studies. They also argue that the harmful effects of suspending disease-modifying treatments (DMTs) in those with aggressive disease who become pregnant should be considered. Responding to these comments, Drs. Tintore et al. noted that they built the model for time to EDSS 3.0 over the CDMS subcohort, in addition to providing further details of the propensity score–matched analyses. They reported additional analyses for the adjusted hazard ratio for pregnancy (but not for breastfeeding) on considering the annualized relapse rate over the first 3 and 5 years of disease and acknowledged that additional details of breastfeeding were unavailable. Regarding the problem of suspending DMTs in pregnant patients, they noted that they are analyzing a subgroup of women treated with natalizumab or fingolimod. As greater numbers of young women become eligible for DMTs with more inclusive revisions of the McDonald criteria, neurologists are likely to encounter challenging questions about the association of pregnancies and breastfeeding with MS disease activity, and the attendant DMT-related dilemmas, in their practice.