The revolutionary progress of research in neuroimmu-nology has led to the introduction of disease modifying therapies in multiple sclerosis at the end of the last century. The International Panel on ...Diagnosis of Multiple Sclerosis originally proposed the 2001 McDonald criteria to facilitate the diagnosis of MS in patients with the first objective neurological symptom(s) suggesting demyelinating event, when magnetic resonance imaging is integrated with clinical and other paraclinical diagnostic methods. New terms have been introduced to substitute clinical information by MRI: dissemination in space - indicating a multifocal central demyelinating process and dissemination in time - indicating the development of new CNS lesions over time. The criteria for diagnosis of Multiple Sclerosis have continuously evolved, they were modified in 2005 and 2010 allowing for an earlier and more accurate diagnosis of MS over time, and they provided the most up-to-date guidance for clinicians and researchers. The last recommended revisions relied entirely on available evidence, and not on expert opinion thereby reducing the risk of the misdiagnosis. The 2017 McDonald criteria continue to apply primarily to patients experiencing a typical, clinically isolated syndrome. In this review, we provide an overview of the recent 2017 revisions to the criteria of dissemination in space and time with the importance of the presence of CSF-specific oligoclonal bands; keeping fully in mind that there is no better explanation for symptoms than diagnosis of MS. In the future, validation of the 2017 McDonald criteria will be needed in diverse populations. Further investigations are required on the value of new MRI approaches, on optic nerve involvement, on evoked potential and optical coherence tomography, in order to assess their possible contribution to diagnostic criteria.
Objective
In patients suffering multiple sclerosis activity despite treatment with interferon β or glatiramer acetate, clinicians often switch therapy to either natalizumab or fingolimod. However, no ...studies have directly compared the outcomes of switching to either of these agents.
Methods
Using MSBase, a large international, observational, prospectively acquired cohort study, we identified patients with relapsing–remitting multiple sclerosis experiencing relapses or disability progression within the 6 months immediately preceding switch to either natalizumab or fingolimod. Quasi‐randomization with propensity score–based matching was used to select subpopulations with comparable baseline characteristics. Relapse and disability outcomes were compared in paired, pairwise‐censored analyses.
Results
Of the 792 included patients, 578 patients were matched (natalizumab, n = 407; fingolimod, n = 171). Mean on‐study follow‐up was 12 months. The annualized relapse rates decreased from 1.5 to 0.2 on natalizumab and from 1.3 to 0.4 on fingolimod, with 50% relative postswitch difference in relapse hazard (p = 0.002). A 2.8 times higher rate of sustained disability regression was observed after the switch to natalizumab in comparison to fingolimod (p < 0.001). No difference in the rate of sustained disability progression events was observed between the groups. The change in overall disability burden (quantified as area under the disability–time curve) differed between natalizumab and fingolimod (−0.12 vs 0.04 per year, respectively, p < 0.001).
Interpretation
This study suggests that in active multiple sclerosis during treatment with injectable disease‐modifying therapies, switching to natalizumab is more effective than switching to fingolimod in reducing relapse rate and short‐term disability burden. Ann Neurol 2015;77:425–435
Multiple sclerosis (MS) may impact quality of life, careers and family plans of the affected individuals. The current treatments with disease modifying therapies aim to prevent people with MS (pwMS) ...from disability accumulation and progression. Different countries have different reimbursement policies resulting in inequalities in patient care among geographical regions. Access to anti-CD20 therapies for relapsing MS is restricted in Hungary because therapy of individual cases only is reimbursed. In the light of the latest research and national guidelines, 17 Hungarian MS experts agreed on 8 recommendations regarding relapsing pwMS using the Delphi round method. Strong agreement (> 80%) was achieved in all except one recommendation after three rounds, which generated a fourth Delphi round. The experts agreed on treatment initiation, switch, follow-up and discontinuation, as well as on special issues such as pregnancy, lactation, elderly population, and vaccination. Well-defined national consensus protocols may facilitate dialogue between policymakers and healthcare professionals and thus contribute to better patient care in the long run.
Inflammatory demyelinating diseases of the CNS comprise a broad spectrum of diseases like neuromyelitis optica (NMO), NMO spectrum disorders (NMO-SD) and multiple sclerosis (MS). Despite clear ...classification criteria, differentiation can be difficult. We hypothesized that the urine proteome may differentiate NMO from MS.
The proteins in urine samples from anti-aquaporin 4 (AQP4) seropositive NMO/NMO-SD patients (n = 32), patients with MS (n = 46) and healthy subjects (HS, n = 31) were examined by quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) after trypsin digestion and iTRAQ labelling. Immunoglobulins (Ig) in the urine were validated by nephelometry in an independent cohort (n = 9-10 pr. groups).
The analysis identified a total of 1112 different proteins of which 333 were shared by all 109 subjects. Cluster analysis revealed differences in the urine proteome of NMO/NMO-SD compared to HS and MS. Principal component analysis also suggested that the NMO/NMO-SD proteome profile was useful for classification. Multivariate regression analysis revealed a 3-protein profile for the NMO/NMO-SD versus HS discrimination, a 6-protein profile for NMO/NMO-SD versus MS discrimination and an 11-protein profile for MS versus HS discrimination. All protein panels yielded highly significant ROC curves (AUC in all cases >0.85, p≤0.0002). Nephelometry confirmed the presence of increased Ig-light chains in the urine of patients with NMO/NMO-SD.
The urine proteome profile of patients with NMO/NMO-SD is different from MS and HS. This may reflect differences in the pathogenesis of NMO/NMO-SD versus MS and suggests that urine may be a potential source of biomarkers differentiating NMO/NMO-SD from MS.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract Background The common symptoms of multiple sclerosis are fatigue, depression, cognitive dysfunction, pain and sexual dysfunction, which influence the health-related quality of life of the ...patients. Objective We aimed to determine the correlations between the health-related quality of life, the level of disability, fatigue and depression in glatiramer acetate-treated patients with multiple sclerosis in Hungary. Methods The Hungarian versions of the Multiple Sclerosis Quality of Life-54, Fatigue Impact Scale and Beck Depression Inventory questionnaires were completed by 428 relapsing-remitting multiple sclerosis patients treated with glatiramer acetate from 19 Hungarian centers. Results The prevalence of fatigue was found to be 62.4%. The prevalence of depression was lower (13.4%) than that described in previous studies (36–54%) among patients with multiple sclerosis. Significant differences in the health-related quality of life were found between fatigued and non-fatigued patients. The level of disability, fatigue, depression and the duration of the disease correlated significantly with the quality of life. However, linear regression analysis indicated that the quality of life was predicted by the level of disability, depression, social and cognitive fatigue, but not by physical fatigue. Conclusions Decreasing the disease activity in multiple sclerosis with immunomodulatory therapy, together with improvements of the diagnostics and treatment of the accompanying depression and fatigue are of high priority to improve the health-related quality of life of patients with multiple sclerosis.
Decreased relapse rate and slower disease progression have been reported with long-term use of immunomodulatory treatments (IMTs, interferon beta or glatiramer acetate) in relapsing-remitting ...multiple sclerosis. There are, however, patients who do not respond to such treatments, and they can be potential candidates for alternative therapeutic approaches.
To identify clinical factors as possible predictors of poor long-term response.
A 9-year prospective, continuous follow-up at a single center in Hungary to assess clinical efficacy of IMT.
In a patient group of 81 subjects with mean IMT duration of 54 ± 33 months, treatment efficacy expressed as annual relapse rate and change in clinical severity from baseline did not depend on the specific IMT (any of the interferon betas or glatiramer acetate), and on mono- or multifocal features of the initial appearance of the disease. Responders had shorter disease duration and milder clinical signs at the initiation of treatment. Relapse-rate reduction in the initial 2 years of treatment predicted clinical efficacy in subsequent years.
Based on these observations, we suggest that a 2-year trial period is sufficient to decide on the efficacy of a specific IMT. For those with insufficient relapse reduction in the first 2 years of treatment, a different IMT or other therapeutic approaches should be recommended.
Background - Brain networks have not been systematically investigated yet in most neurological disorders. Purpose - To investigate EEG functional connectivity (EEGfC) networks in 14 neurological ...disorders. Patients - Potentially eligible patients were collected from clinical and EEG databases. All the available clinical data and EEG records were critically revised. All the patients who suffered of a single neurological disorder (out of the 14) and had a good quality EEG recording entered the study. Confoundig factors as comorbidity and CNS-active drug effects were eliminated as far as possible. EEG analysis - Three minutes of resting-state, waking EEG activity were selected for analysis. Current source density (CSD) values were computed for 2394 cortical voxels by Low Resolution Electromagnetic Tomography (LORETA). Thereafter, Pearson correlation coefficients were computed between all pairs of 23 cortical regions of interest (ROI) in each hemisphere (LORETA Source Correlation, LSC software). Computation was carried out for conventional EEG broad bands and very narrow bands (1 Hz bandwidth) between 1 and 25 Hz as well. Correlation coefficients of each group were statistically compared to our normative EEG (LSC) database by two-talied t-tests. Bonferroni-corrected p<0.05 values were accepted as statistically significant, and were graphically displayed as topographical networks. Results and conclusion - Group-specific networks were demonstrated. However, non-specific networks, charasteristic for most groups, were detected as well. Common finding were: decreased connectivity in the alpha band and increased connectivity in the delta, theta bands and upper-beta band. Decreased alpha-band connectivity presumably reflected primary lesional effects and on the other hand, non-specific vulnerability of "rich club connections". Increased connectivity in the slow bands presumably indicated adaptive-compensatory activity of brain homeostasis.
The development of autoimmune diseases may be influenced by hormonal, immunomodulatory, and metabolic pathways. Prolactin (PRL), ferritin, vitamin D, and the tumor marker tissue polypeptide antigen ...(TPA) were measured in autoimmune diseases: systemic lupus erythematosus (SLE), systemic sclerosis (SSc), rheumatoid arthritis (RA), polymyositis (PM), dermatomyositis (DM), multiple sclerosis (MS), autoimmune thyroid diseases, and antiphospholipid syndrome. Hyperprolactinemia (HPRL) was detected in 24% of PM patients, in 21% of SLE patients, in 6.7% of MS patients, 6% of RA patients, and in 3% of SSc patients. Hyperferritinemia was detected in 23% of SLE patients, 15% of DM patients, 8% of MS patients, and 4% of RA patients. The patients had relatively low levels of 25 OH Vitamin D: the average results (mean +/- SD) were between 9.3 +/- 4.4 to 13.7 +/- 7.1 ng/mL in the different diseases, while the 25 OH Vitamin D concentrations less than 20 ng/mL are regarded as deficient. TPA levels were in the same range of the controls, elevated only in SLE. HPRL, hyperferritinemia, hypovitaminosis D, and TPA levels did not correlate with SLE activity elevated levels of rheumatoid factor or anti-CCP antibodies in RA. HPRL, hyperferritinemia, and hypovitaminosis D have different immunological implications in the pathogenesis of the autoimmune diseases. Preventive treatment with vitamin D or therapy for HPRL with dopamine agonists, may be considered in certain cases. Hyperferritinemia may be used as an acute-phase reactant marker in autoimmune diseases mainly SLE. TPA may be used to indicate the tendency for malignancies.
Background:
The risk factors for conversion from relapsing-remitting to secondary progressive multiple sclerosis remain highly contested.
Objective:
The aim of this study was to determine the ...demographic, clinical and paraclinical features that influence the risk of conversion to secondary progressive multiple sclerosis.
Methods:
Patients with adult-onset relapsing–remitting multiple sclerosis and at least four recorded disability scores were selected from MSBase, a global observational cohort. The risk of conversion to objectively defined secondary progressive multiple sclerosis was evaluated at multiple time points per patient using multivariable marginal Cox regression models. Sensitivity analyses were performed.
Results:
A total of 15,717 patients were included in the primary analysis. Older age (hazard ratio (HR) = 1.02, p < 0.001), longer disease duration (HR = 1.01, p = 0.038), a higher Expanded Disability Status Scale score (HR = 1.30, p < 0.001), more rapid disability trajectory (HR = 2.82, p < 0.001) and greater number of relapses in the previous year (HR = 1.07, p = 0.010) were independently associated with an increased risk of secondary progressive multiple sclerosis. Improving disability (HR = 0.62, p = 0.039) and disease-modifying therapy exposure (HR = 0.71, p = 0.007) were associated with a lower risk. Recent cerebral magnetic resonance imaging activity, evidence of spinal cord lesions and oligoclonal bands in the cerebrospinal fluid were not associated with the risk of conversion.
Conclusion:
Risk of secondary progressive multiple sclerosis increases with age, duration of illness and worsening disability and decreases with improving disability. Therapy may delay the onset of secondary progression.
•Temporal neural networks allow to significantly improve the prediction of disability progression in MS patients.•Disability progression can be predicted in a 2-year horizon can be predicted with an ...AUC-ROC of 0.85.•Longitudinal clinical history of the patients ranks amongst the most predictive variables for disability progression.
Research in Multiple Sclerosis (MS) has recently focused on extracting knowledge from real-world clinical data sources. This type of data is more abundant than data produced during clinical trials and potentially more informative about real-world clinical practice. However, this comes at the cost of less curated and controlled data sets. In this work we aim to predict disability progression by optimally extracting information from longitudinal patient data in the real-world setting, with a special focus on the sporadic sampling problem.
We use machine learning methods suited for patient trajectories modeling, such as recurrent neural networks and tensor factorization. A subset of 6682 patients from the MSBase registry is used.
We can predict disability progression of patients in a two-year horizon with an ROC-AUC of 0.85, which represents a 32% decrease in the ranking pair error (1-AUC) compared to reference methods using static clinical features.
Compared to the models available in the literature, this work uses the most complete patient history for MS disease progression prediction and represents a step forward towards AI-assisted precision medicine in MS.
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