A global perspective on the burden of multiple sclerosis

Projected number of people with multiple sclerosis in Germany between 2015 and 2040

BACKGROUND

The global prevalence of multiple sclerosis has shown a marked rise in recent decades, with Germany reporting the highest prevalence among European countries. This study aims to project the future number of people with multiple sclerosis in Germany until 2040 which is necessary for effective resource allocation and health care planning.

METHODS

Based on data from the German statutory health insurance, the age- and sex-specific prevalence of multiple sclerosis was estimated applying mathematical relations between prevalence, incidence rate, and mortality rate. Subsequently, the projected prevalence was applied to the age structure of the German population between 2015 and 2040 to calculate the future number of people with multiple sclerosis. Several temporal trend scenarios pertaining to the incidence and mortality rate were compared.

RESULTS

Application of current age-specific prevalence estimates combined with the projected population structure in 2040, results in a decline of 8% in the number of people with multiple sclerosis. More realistic scenarios that reflect on trends in mortality and incidence rates, project between 453,000 (+75%) and 477,000 (+85%) multiple sclerosis cases in 2040. It is expected that females will be affected nearly 2.5 times more frequently than males in 2040.

CONCLUSION

The findings indicate a substantial rise in the prevalence of multiple sclerosis, ranging from 75% to 85% in 2040 compared to 2015. Assuming a constant age-specific prevalence between 2015 and 2040 without any temporal trends in mortality and incidence rates may underestimate the actual number of cases and consequently, future requirements for healthcare resources.

Digital outcome measures are associated with brain atrophy in patients with multiple sclerosis

BACKGROUND

Digital monitoring of people with multiple sclerosis (PwMS) using smartphone-based monitoring tools is a promising method to assess disease activity and progression.

OBJECTIVE

To study cross-sectional and longitudinal associations between active and passive digital monitoring parameters and MRI volume measures in PwMS.

METHODS

In this prospective study, 92 PwMS were included. Clinical tests [Expanded Disability Status Scale (EDSS), Timed 25 Foot Walk test (T25FW), 9-Hole Peg Test (NHPT), and Symbol Digit Modalities Test (SDMT)] and structural MRI scans were performed at baseline (M0) and 12-month follow-up (M12). Active monitoring included the smartphone-based Symbol Digit Modalities Test (sSDMT) and 2 Minute Walk Test (s2MWT), while passive monitoring was based on smartphone keystroke dynamics (KD). Linear regression analyses were used to determine cross-sectional and longitudinal relations between digital and clinical outcomes and brain volumes, with age, disease duration and sex as covariates.

RESULTS

In PwMS, both sSDMT and SDMT were associated with thalamic volumes and lesion volumes. KD were related to brain, ventricular, thalamic and lesion volumes. No relations were found between s2MWT and MRI volumes. NHPT scores were associated with lesion volumes only, while EDSS and T25FW were not related to MRI. No longitudinal associations were found for any of the outcome measures between M0 and M12.

CONCLUSION

Our results show clear cross-sectional correlations between digital biomarkers and brain volumes in PwMS, which were not all present for conventional clinical outcomes, supporting the potential added value of digital monitoring tools.

The association between vitamin D deficiency and multiple sclerosis: an updated systematic review and meta-analysis

BACKGROUND

Although there is evidence of a link between vitamin D status and risk of multiple sclerosis (MS), there has been no systematic review where the exposure measure was vitamin D deficiency rather than 25 hydroxy vitamin D (25(OH)D) concentration. We conducted an updated systematic review and meta-analysis to estimate the association between vitamin D deficiency, defined in most studies as a serum 25(OH)D concentration of < 50 nmol L-1, and MS.

METHODS

We searched the MEDLINE, EMBASE, and CINAHL databases to identify relevant publications. We estimated the pooled odds ratio (OR) using a random effects model for the association between vitamin D deficiency and MS, overall and stratified by several factors, including whether or not studies included participants who were taking vitamin D supplements. We also analysed the association between mean 25(OH)D concentration and MS, and used meta-regression to assess the effects of vitamin D supplementation, latitude, age, ethnicity, vitamin D definition and seasonality on the OR estimates. The Newcastle-Ottawa Scale was used to assess study quality.

RESULTS

Results were pooled across 14 case-control studies published between 2007 and 2021 (n = 4130 cases, n = 4604 controls). Persons with vitamin D deficiency had a 54 % higher risk of multiple sclerosis than those with sufficient vitamin D status (OR 1.54; 95 % CI 1.05, 2.24). In studies that excluded participants taking vitamin D supplements (N = 7), the OR was 2.19 (95 % CI: 1.44, 3.35), whereas, in studies that did not exclude participants taking supplements, there was no increase in risk (OR 0.82; 95 % CI: 0.43, 1.58). Mean age (R2 = 27.4 %) and inclusion/exclusion of participants taking supplements (R2 = 33.4 %) contributed most to variability in the OR of vitamin D deficiency and MS.

CONCLUSION

Vitamin D deficiency is associated with an increased likelihood of multiple sclerosis. Maintaining sufficient vitamin D may be an important modifiable risk factor for MS.

Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators

RATIONALE AND OBJECTIVES

To investigate whether clinical and gray matter (GM) atrophy indicators can predict disability in relapsing-remitting multiple sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a predictive machine learning model.

MATERIALS AND METHODS

145 and 50 RRMS patients with structural MRI and at least 1-year follow-up Expanded Disability Status Scale (EDSS) results were retrospectively enrolled and placed in the discovery and external test cohorts, respectively. Six clinical and radiomics feature-based machine learning classifiers were trained and tested to predict disability progression in the discovery cohort and validated in the external test set. Partial dependence plot (PDP) analysis and a Shiny web application were conducted to enhance the interpretability and intuitiveness.

RESULTS

In the discovery cohort, 98 patients had disability stability, and 47 patients were classified as having disability progression. In the external test set, 35 patients were disability stable, and 15 patients had disability progression. Models trained with both clinical and radiomics features (area under the curve (AUC), 0.725-0.950) outperformed those trained with clinical (AUC, 0.600-0.740) or radiomics features only (AUC, 0.615-0.945). Among clinical+ radiomics feature models, the logistic regression (LR) classifier-based model performed best, with an AUC of 0.950. Only the radiomics feature-only models were applied in the external test set due to the data collection problem and showed fair performance, with AUCs ranging from 0.617 to 0.753. PDP analysis showed that female patients and those with lower volume, surface area, and symbol digit modalities test (SDMT) scores; greater mean curvature and age; and no disease modifying therapy (DMT) had increased probabilities of disease progression. Finally, a Shiny web application (https://lauralin1104.shinyapps.io/LRshiny/) was developed to calculate the risk of disability progression.

CONCLUSION

Interpretable and intuitive machine learning approaches based on clinical and GM atrophy indicators can help physicians predict disability progression in RRMS patients for clinical decision-making and patient management.

Comparison of LED- and LASER-based fNIRS technologies to record the human peri‑spinal cord neurovascular response

Recently, functional Near-Infrared Spectroscopy (fNIRS) was applied to obtain, non-invasively, the human peri‑spinal Neuro-Vascular Response (NVR) under a non-noxious electrical stimulation of a peripheral nerve. This method allowed the measurements of changes in the concentration of oxyhemoglobin (O2Hb) and deoxyhemoglobin (HHb) from the peri‑spinal vascular network. However, there is a lack of clarity about the potential differences in perispinal NVR recorded by the different fNIRS technologies currently available. In this work, the two main noninvasive fNIRS technologies were compared, i.e., LED and LASER-based. The recording of the human peri‑spinal NVR induced by non-noxious electrical stimulation of a peripheral nerve was recorded simultaneously at C7 and T10 vertebral levels. The amplitude, rise time, and full width at half maximum duration of the perispinal NVRs were characterized in healthy volunteers and compared between both systems. The main difference was that the LED-based system shows about one order of magnitude higher values of amplitude than the LASER-based system. No statistical differences were found for rise time and for duration parameters (at thoracic level). The comparison of point-to-point wave patterns did not show significant differences between both systems. In conclusion, the peri‑spinal NRV response obtained by different fNIRS technologies was reproducible, and only the amplitude showed differences, probably due to the power of the system which should be considered when assessing the human peri‑spinal vascular network.

Clinical Characteristics and Long-Term Outcomes of Late-Onset Multiple Sclerosis: A Swedish Nationwide Study

BACKGROUND AND OBJECTIVES

Clinical onset of multiple sclerosis (MS) after the age of 50 years is uncommon and associated with a less favorable natural history. The differences in long-term outcomes in patients with late-onset MS (LOMS, onset 50 years or older) and adult-onset MS (AOMS, onset 18 years or older and younger than 50 years) during the disease-modifying therapy (DMT) era have been less studied. This study aimed to compare patient characteristics, DMT exposure, and disability progression in Swedish patients with LOMS and AOMS over 2 decades (2001-2022).

METHODS

The nationwide Swedish MS registry was searched for patients with an onset of MS between January 1, 2001, and December 31, 2018, with symptom onset at age 18 years or older and ≥2 recorded Expanded Disability Status Scale (EDSS) scores. Clinical and demographic parameters and exposure to DMT were compared between LOMS and AOMS. Time to disability milestones (EDSS 4 and 6) was assessed using Kaplan-Meier curves and Cox proportional hazards regression models adjusted for sex, disease course, calendar year at onset, and DMT exposure.

RESULTS

Among 8739 patients with MS who met inclusion criteria, 1,028 (11.8%) were LOMS. Primary progressive MS was more frequently diagnosed in LOMS compared with that in AOMS (25.2% vs 4.5%; p < 0.001). Most of the patients had been prescribed DMT, but more rarely in LOMS compared with AOMS (74.7% vs 95.6%; p < 0.001). Less than half of patients with LOMS had been exposed to a high-efficacy DMT (45.8%) compared with 73.5% of AOMS (p < 0.001). The risk of reaching disability milestones was greater for LOMS compared with that for AOMS (EDSS 4; adjusted hazard ratio [aHR] 2.71; 95% CI 2.22-3.30; p < 0.001, and EDSS 6; aHR 2.67; 95% CI 2.12-3.36; p < 0.001).

DISCUSSION

This study distinguishes LOMS as a particularly vulnerable group and clinically supports close vigilance of these patients. Further studies are needed to assess and clarify the benefit of DMT usage in older adults with MS.

Treatment satisfaction with disease-modifying therapy is the only predictor of Adherence among multiple sclerosis patients from Upper Egypt

Despite the proven efficacy of the disease-modifying therapy (DMT) for multiple sclerosis (MS), the rates of non-adherence are frequently high. We aimed to evaluate the rate of non-adherence to the first DMT in Upper Egypt and identify different contributing factors. Out of 310 patients, ninety-seven adult patients with RRMS were recruited from three MS units located in Upper Egypt and were subjected to the following: complete clinical history, expanded disability status score (EDSS), Eight-item Morisky Medication Adherence Scale (MMAS-8), abbreviated Treatment Satisfaction Questionnaire for Medication-9 (TSQM-9), Hamilton depression scale, Fatigue Severity Scale (FSS) and the Pittsburgh Sleep Quality Index (PSQI). According to MMAS-8 scores, 63 (64.9%) of patients were non-adherent to their first DMT. Non-adherent patients are more likely to have longer disease duration (p = 0.002), longer duration on first DMT (p = 0.030), first DMT-start date before 2019 (p = 0.040), and lower treatment satisfaction scores (p = 0.016). However, there was no significant relation with physical disability, depression, fatigue, or sleep quality. On the regression analysis model, a lower treatment satisfaction score was the only predictor of DMT non-adherence (p = 0.012). Despite expanding DMT options, non-adherence among MS patients in Upper Egypt is high. Treatment satisfaction with DMT is the only predictor of adherence among MS patients of Upper Egypt. Adherence and satisfaction with the prescribed DMT should be assessed carefully to maximize DMT benefits.

Shared Decision-Making in the Treatment of Multiple Sclerosis: Results of a Cross-Sectional, Real-World Survey in Europe and the United States

Introduction

Multiple sclerosis (MS) is a neurodegenerative disease characterized by progressive deterioration of cognitive and physical functioning, reducing activities of daily living and quality of life (QoL). Several treatments are available that modify the course of the disease and reduce the frequency of relapses. Although effective, all treatment options are accompanied by adverse events, and this study aimed to assess the extent to which patients were involved in the choice of treatment.

Methods

Data were drawn from the Adelphi Multiple Sclerosis Disease Specific Program (DSP)™, a cross-sectional survey of healthcare practitioners (HCP) and their patients with MS in real-world clinical settings in Europe and the United States (US) between December 2020 and July 2021. HCPs reported patient demographics, clinical characteristics, current and previous treatment, and treatment outcomes. Patients voluntarily completed questionnaires reporting the physical and psychological impact of their MS and its treatment. Regression analysis with inverse probability of treatment weighting was used to compare treatment outcomes in patients actively involved in their current treatment choice with those who were not.

Results

Of a total of 692 patients, median age 40 years and 64% female, mostly diagnosed with relapsing-remitting MS, those who were involved in shared decision-making tended to choose oral therapies such as dimethyl fumarate more often than HCPs. MS had greater impact on physical and psychological functioning in patients whose HCP made treatment decisions solely. Patients involved in decision-making reported greater satisfaction with their treatment and a better QoL.

Discussion

Because no single optimal therapy exists for patients with MS, treatments should be individualized with consideration of patients' preferences. Our study shows that shared decision-making is under-utilized in the management of MS and supports the benefits of patient involvement.

Conclusion

Patients who have an active role in treatment decision-making show improved wellbeing and QoL, and overall treatment satisfaction.

[The effectiveness of tele-rehabilitation for patients with multiple sclerosis during the COVID-19 pandemic in 2020-2021 was evaluated in this study]

OBJECTIVE

To evaluate the effectiveness of telerehabilitation (TELEREBT) of patients with multiple sclerosis (MS) in the context of the coronavirus pandemic 2020-2021.

MATERIAL AND METHODS

The study included 37 patients with MS who underwent a course of teleRBT. The course included 10 classes of 60 minutes for 10 days with a two-day break. Various questionnaires and scales were used to assess the effectiveness, as well as an assessment of the neurological status.

RESULTS

19 patients refused to participate in the program. The level of disability on the EDSS scale decreased from 4.86±1.19 at the initial level to 4.73±1.12 after the course of teleRBT, while no statistically significant changes were found.

CONCLUSION

TeleRPT in patients can be an effective way to correct existing disorders. Further research is required to establish the effectiveness of teleRBT.

Phase I clinical trial of intracerebroventricular transplantation of allogeneic neural stem cells in people with progressive multiple sclerosis

We report the analysis of 1 year of data from the first cohort of 15 patients enrolled in an open-label, first-in-human, dose-escalation phase I study (ClinicalTrials.gov: NCT03282760, EudraCT2015-004855-37) to determine the feasibility, safety, and tolerability of the transplantation of allogeneic human neural stem/progenitor cells (hNSCs) for the treatment of secondary progressive multiple sclerosis. Participants were treated with hNSCs delivered via intracerebroventricular injection in combination with an immunosuppressive regimen. No treatment-related deaths nor serious adverse events (AEs) were observed. All participants displayed stability of clinical and laboratory outcomes, as well as lesion load and brain activity (MRI), compared with the study entry. Longitudinal metabolomics and lipidomics of biological fluids identified time- and dose-dependent responses with increased levels of acyl-carnitines and fatty acids in the cerebrospinal fluid (CSF). The absence of AEs and the stability of functional and structural outcomes are reassuring and represent a milestone for the safe translation of stem cells into regenerative medicines.

Reactive nitrogen species as therapeutic targets for autophagy/mitophagy modulation to relieve neurodegeneration in multiple sclerosis: Potential application for drug discovery

Multiple sclerosis (MS) is a neuroinflammatory disease with limited therapeutic effects, eventually developing into handicap. Seeking novel therapeutic strategies for MS is timely important. Active autophagy/mitophagy could mediate neurodegeneration, while its roles in MS remain controversial. To elucidate the exact roles of autophagy/mitophagy and reveal its in-depth regulatory mechanisms, we conduct a systematic literature study and analyze the factors that might be responsible for divergent results obtained. The dynamic change levels of autophagy/mitophagy appear to be a determining factor for final neuron fate during MS pathology. Excessive neuronal autophagy/mitophagy contributes to neurodegeneration after disease onset at the active MS phase. Reactive nitrogen species (RNS) serve as key regulators for redox-related modifications and participate in autophagy/mitophagy modulation in MS. Nitric oxide (•NO) and peroxynitrite (ONOO-), two representative RNS, could nitrate or nitrosate Drp1/parkin/PINK1 pathway, activating excessive mitophagy and aggravating neuronal injury. Targeting RNS-mediated excessive autophagy/mitophagy could be a promising strategy for developing novel anti-MS drugs. In this review, we highlight the important roles of RNS-mediated autophagy/mitophagy in neuronal injury and review the potential therapeutic compounds with the bioactivities of inhibiting RNS-mediated autophagy/mitophagy activation and attenuating MS progression. Overall, we conclude that reactive nitrogen species could be promising therapeutic targets to regulate autophagy/mitophagy for multiple sclerosis treatment.

Co-registration with subtraction and color-coding or fusion improves the detection of new and growing lesions on follow-up MRI examination of patients with multiple sclerosis

PURPOSE

The purpose of this study was to compare the performance of three magnetic resonance imaging (MRI) reading methods in the follow-up of patients with multiple sclerosis (MS).

MATERIALS AND METHODS

This retrospective study included patients with MS who underwent two brain follow-up MRI examinations with three-dimensional fluid-attenuated inversion recovery (FLAIR) sequences between September 2016 and December 2019. Two neuroradiology residents independently reviewed FLAIR images using three post-processing methods including conventional reading (CR), co-registration fusion (CF), and co-registration subtraction with color-coding (CS), while being blinded to all data but FLAIR images. The presence and number of new, growing, or shrinking lesions were compared between reading methods. The reading time, reading confidence, and inter- and intra-observer agreements were also assessed. An expert neuroradiologist established the standard of reference. Statistical analyses were corrected for multiple testing.

RESULTS

A total of 198 patients with MS were included. There were 130 women and 68 men, with a mean age of 41 ± 12 (standard deviation) years (age range: 21-79 years). Using CS and CF, more patients were detected with new lesions compared to CR (93/198 [47%] and 79/198 [40%] vs. 54/198 [27%], respectively; P < 0.01). The median number of new hyperintense FLAIR lesions detected was significantly greater using CS and CF compared to CR (2 [Q1, Q3: 0, 6] and 1 [Q1, Q3: 0, 3] vs. 0 [Q1, Q3: 0, 1], respectively; P < 0.001). The mean reading time was significantly shorter using CS and CF compared to CR (P < 0.001), with higher confidence in readings and higher inter- and intra-observer agreements.

CONCLUSION

Post-processing tools such as CS and CF substantially improve the accuracy of follow-up MRI examinations in patients with MS while reducing reading time and increasing readers' confidence and reproducibility.

Feasibility of diffusion kurtosis imaging in evaluating cervical spinal cord injury in multiple sclerosis

This research aimed to assess gray matter (GM), white matter (WM), lesions of multiple sclerosis (MS) and the therapeutic effect using diffusion kurtosis imaging (DKI). From January 2018 to October 2019, 78 subjects (48 of MS and 30 of health) perform routine MR scan and DKI of cervical spinal cord. The MS patients were divided into 2 groups according to the presence or absence of T2 hyperintensity. DKI-metrics were measured in the lesions, normal-appearing GM and WM. Significant differences were detected in DKI metrics between MS and healthy (P < .05) and between patients with cervical spinal cord T2-hyperintense and without T2-hyperintense (P < .001). Compared to healthy, GM-mean kurtosis (MK), GM-radial kurtosis, and WM-fractional anisotropy, WM-axial diffusion were statistically reduced in patients without T2-hyperintense (P < .05). Significant differences were observed in DKI metrics between patients with T2-hyperintense after therapy (P < .05), as well as GM-MK and WM-fractional anisotropy, WM-axial diffusion in patients without T2-hyperintense (P < .05); Expanded Disability Status Scale was correlated with MK values, as well as Expanded Disability Status Scale scores and MK values after therapy. Our results indicate that DKI-metrics can detect and quantitatively evaluate the changes in cervical spinal cord micropathological structure.

Cellular and Molecular Evidence of Multiple Sclerosis Diagnosis and Treatment Challenges

Multiple sclerosis (MS) is a chronic autoimmune disease that impacts the central nervous system and can result in disability. Although the prevalence of MS has increased in India, diagnosis and treatment continue to be difficult due to several factors. The present study examines the difficulties in detecting and treating multiple sclerosis in India. A lack of MS knowledge among healthcare professionals and the general public, which delays diagnosis and treatment, is one of the significant issues. Inadequate numbers of neurologists and professionals with knowledge of MS management also exacerbate the situation. In addition, MS medications are expensive and not covered by insurance, making them inaccessible to most patients. Due to the absence of established treatment protocols and standards for MS care, India's treatment techniques vary. In addition, India's population diversity poses unique challenges regarding genetic variations, cellular and molecular abnormalities, and the potential for differing treatment responses. MS is more difficult to accurately diagnose and monitor due to a lack of specialized medical supplies and diagnostic instruments. Improved awareness and education among healthcare professionals and the general public, as well as the development of standardized treatment regimens and increased investment in MS research and infrastructure, are required to address these issues. By addressing these issues, it is anticipated that MS diagnosis and treatment in India will improve, leading to better outcomes for those affected by this chronic condition.

Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review

Central nervous system diseases (CNSDs) lead to significant disability worldwide. Mobile app interventions have recently shown the potential to facilitate monitoring and medical management of patients with CNSDs. In this direction, the characteristics of the mobile apps used in research studies and their level of clinical effectiveness need to be explored in order to advance the multidisciplinary research required in the field of mobile app interventions for CNSDs. A systematic review of mobile app interventions for three major CNSDs, i.e., Parkinson's disease (PD), multiple sclerosis (MS), and stroke, which impose significant burden on people and health care systems around the globe, is presented. A literature search in the bibliographic databases of PubMed and Scopus was performed. Identified studies were assessed in terms of quality, and synthesized according to target disease, mobile app characteristics, study design and outcomes. Overall, 21 studies were included in the review. A total of 3 studies targeted PD (14%), 4 studies targeted MS (19%), and 14 studies targeted stroke (67%). Most studies presented a weak-to-moderate methodological quality. Study samples were small, with 15 studies (71%) including less than 50 participants, and only 4 studies (19%) reporting a study duration of 6 months or more. The majority of the mobile apps focused on exercise and physical rehabilitation. In total, 16 studies (76%) reported positive outcomes related to physical activity and motor function, cognition, quality of life, and education, whereas 5 studies (24%) clearly reported no difference compared to usual care. Mobile app interventions are promising to improve outcomes concerning patient's physical activity, motor ability, cognition, quality of life and education for patients with PD, MS, and Stroke. However, rigorous studies are required to demonstrate robust evidence of their clinical effectiveness.

Epidemiology of multiple sclerosis in the Campania Region (Italy): Derivation and validation of an algorithm to calculate the 2015-2020 incidence

OBJECTIVE

We aim to validate an algorithm based on routinely-collected healthcare data to detect incidence of multiple sclerosis (MS) in the Campania Region (South Italy) and to explore its spatial and temporal variations.

METHODS

We included individuals resident in the Campania Region who had at least one MS record in administrative datasets (drug prescriptions, hospital discharge, outpatients), from 2015 to 2020. We merged administrative to the clinical datasets to ascertain the actual date of diagnosis, and validated the minimum interval from our study baseline (Jan 1, 2015) to first MS records in administrative datasets to detect incident cases. We used Bayesian approach to explore geographical distribution, also including deprivation index as a covariate in the estimation model. We used the capture-recapture method to estimate the proportion of undetected cases.

RESULTS

The best performance was achieved by the 12-month interval algorithm, detecting 2,150 incident MS cases, with 74.4% sensitivity (95%CI = 64.1%, 85.9%) and 95.3% specificity (95%CI = 90.7%, 99.8%). The cumulative incidence was 36.68 (95%CI = 35.15, 38.26) per 100,000 from 2016 to 2020. The mean annual incidence was 7.34 (95%CI = 7.03, 7.65) per 100,000 people-year. The geographical distribution of MS relative risk shows a decreasing east-west incidence gradient. The number of expected MS cases was 11% higher than the detected cases.

CONCLUSIONS

We validated a case-finding algorithm based on administrative data to estimate MS incidence, and its spatial/temporal variations. This algorithm provides up-to-date estimates of MS incidence, and will be used in future studies to evaluate changes in MS incidence in relation to different risk factors.

Multiple sclerosis diagnostic delay and its associated factors in Upper Egyptian patients

The earlier the diagnosis of multiple sclerosis (MS), the sooner disease-modifying treatments can be initiated. However, significant delays still occur in developing countries. We aimed to identify factors leading to delayed diagnosis of MS in Upper Egypt. One hundred forty-two patients with remitting relapsing MS (RRMS) were recruited from 3 MS units in Upper Egypt. Detailed demographic and clinical data were collected. Neurological examination and assessment of the Disability Status Scale (EDSS) were performed. The mean age was 33.52 ± 8.96 years with 72.5% of patients were females. The mean time from symptom onset to diagnosis was 18.63 ± 27.87 months and the median was 3 months. Seventy-two patients (50.7%) achieved diagnosis within three months after the first presenting symptom (early diagnosis), while seventy patients (49.3%) had more than three months delay in diagnosis (delayed diagnosis). Patients with a delayed diagnosis frequently presented in the period before 2019 and had a significantly higher rate of initial non-motor presentation, initial non-neurological consultations, prior misdiagnoses, and a higher relapse rate. Another possible factor was delayed MRI acquisition following the initial presentation in sixty-six (46.5%) patients. Multivariable logistic regression analysis demonstrated that earlier presentation, initial non-neurological consultation, and prior misdiagnosis were independent predictors of diagnostic delay. Despite advances in MS management in Egypt, initial non-neurological consultation and previous misdiagnoses are significant factors responsible for delayed diagnosis in Upper Egypt.

The role of plasma cortisol in dementia, epilepsy, and multiple sclerosis: A Mendelian randomization study

BACKGROUND

Many clinical studies have shown a correlation between plasma cortisol and neurological disorders. This study explored the causal relationship between plasma cortisol and dementia, epilepsy and multiple sclerosis based on Mendelian randomization (MR) method.

METHODS

Data were taken from the summary statistics of a genome-wide association study, FinnGen consortium and United Kingdom Biobank. Dementia, epilepsy, and multiple sclerosis were used as outcomes, and genetic variants associated with plasma cortisol were used as instrumental variables. The main analysis was performed using the inverse variance weighted method, and the results were assessed according to the odds ratio (OR) and 95% confidence interval. Heterogeneity tests, pleiotropy tests, and leave-one-out method were conducted to evaluate the stability and accuracy of the results.

RESULTS

In two-sample MR analysis, the inverse variance weighted method showed that plasma cortisol was associated with Alzheimer's disease (AD) [odds ratio (95% confidence interval) = 0.99 (0.98-1.00), P = 0.025], vascular dementia (VaD) [odds ratio (95% confidence interval) = 2.02 (1.00-4.05), P = 0.049)], Parkinson's disease with dementia (PDD) [odds ratio (95% confidence interval) = 0.24 (0.07-0.82), P = 0.023] and epilepsy [odds ratio (95% confidence interval) = 2.00 (1.03-3.91), P = 0.042]. There were no statistically significant associations between plasma cortisol and dementia with Lewy bodies (DLB), frontotemporal dementia (FTD) and multiple sclerosis.

CONCLUSION

This study demonstrates that plasma cortisol increase the incidence rates of epilepsy and VaD and decrease the incidence rates of AD and PDD. Monitoring plasma cortisol concentrations in clinical practice can help prevent diseases, such as AD, PDD, VaD and epilepsy.

ENTIMOS: A Discrete Event Simulation Model for Maximising Efficiency of Infusion Suites in Centres Treating Multiple Sclerosis Patients

BACKGROUND

Improved multiple sclerosis (MS) diagnosis and increased availability of intravenous disease-modifying treatments can lead to overburdening of infusion centres. This study was focused on developing a decision-support tool to help infusion centres plan their operations.

METHODS

A discrete event simulation model ('ENTIMOS') was developed using Simul8 software in collaboration with clinical experts. Model inputs included treatment-specific clinical parameters, resources such as infusion chairs and nursing staff, and costs, while model outputs included patient throughput, waiting time, queue size, resource utilisation, and costs. The model was parameterised using characteristics of the Charing Cross Hospital Infusion Centre in London, UK, where 12 infusion chairs were deployed for 170 non-MS and 860 MS patients as of March 2021. The number of MS patients was projected to increase by seven new patients per week.

RESULTS

The model-estimated waiting time for an infusion is, on average, 8 days beyond clinical recommendation in the first year of simulation. Without corrective action, the delay in receiving due treatment is anticipated to reach 30 days on average at 30 months from the start of simulation. Such system compromise can be prevented either by adding one infusion chair annually or switching 7% of existing patients or 24% of new patients to alternative MS treatments not requiring infusion.

CONCLUSION

ENTIMOS is a flexible model of patient flow and care delivery in infusion centres serving MS patients. It allows users to simulate specific local settings and therefore identify measures that are necessary to avoid clinically significant treatment delay resulting in suboptimal care.

The effects of Baduanjin and yoga exercise programs on physical and mental health in patients with Multiple Sclerosis: A randomized controlled trial

OBJECTIVE

To discuss whether Baduanjin and yoga exercise interventions improve motor function, posture control, and relieving fatigue and depression in MS patients. And to explore whether practicing Baduanjin benefits MS patients more than yoga.

DESIGN

A prospective, randomized, controlled, three-arm trial comparing BDJ (n = 30), yoga (n = 30) and control group (n = 20).

SETTING

Jiangsu Provincial Corps Hospital.

INTERVENTION

Eligible participants were randomized to a 24-week Baduanjin or yoga intervention, or a usual activity control group. Balance, posture control and trunk movement were measured with the Berg Balance Scale (BBS) and Trunk Impairment Scale (TIS). Fatigue was measured using the Fatigue Severity Scale (FSS) and depressive symptoms via the Zung Self-Rating Depression Scale (SDS).

RESULTS

For BBS and TIS, there were significant changes pre- to post- exercise in two exercise groups (P < 0.05), with greater increases in the Baduanjin exercise group (BDJ group). For the FSS, there were significant changes pre- to post- exercise in both the BDJ (P = 0.0292) and yoga groups (P = 0.0150). For the SDS, the pre- and post-exercise difference of the BDJ group was larger than the yoga group (P < 0.0001). On the other hand, we could not find any changes of the BBS, TIS, FSS, and SDS scores in the control group (p > 0.05).

CONCLUSION

The results suggest that practicing Baduanjin was more effective than yoga and that it is suitable for the MS patients.

Age differences in trajectories of self-rated health of young people with Multiple Sclerosis

BACKGROUND

Recent evidence has suggested an existence of a multiple sclerosis (MS) prodrome. Hence, some young adults with MS are very likely to have had symptoms in childhood or adolescence. It is, therefore, reasonable to assume that people aged under 25 years with MS might have had pediatric-onset. In contrast, young people aged between 26 and 35 are less likely to have had pediatric-onset. Contrasting these two groups of people could lead to valuable information about the impact of MS over time. The purpose of this study is to characterize how self-rated health (SRH) in young people with MS changed over time and to estimate the extent to which SRH differs between age groups (18 to 25 years and 26 to 35 years) and sex.

METHODS

This study utilized placebo arm data from the Multiple Sclerosis Outcome Assessment Consortium database. Responses to the RAND-36 SRH item of 393 participants were included. Group-based trajectory models (GBTM) were used to identify patterns of change over two years. Ordinal regression was performed to estimate whether these trajectory groups differed by age group, sex, and relapse event.

RESULTS

Results of GBTM showed that all groups were stable over time except one progressing from a rating of "very good" to "excellent". Posterior probabilities showed that 35% of people consistently rated their health "very good or excellent" and 2% consistently rated their health as "poor". Health perceptions differed across age groups (β = 0.5, OR: 1.7 CI: 1.1, 2.6) but not sex (β = -0.1, OR: 0.9 CI: 0.6 1.3). Compared to the younger group, people aged 26 to 35 years are 1.7 times more likely to rate their health poorer. People with relapses are also 2.2 times more likely to rate their health poorer (β = 0.8, OR: 2.2 CI: 1.5, 3.2).

CONCLUSION

Trajectories of SRH of young people with MS were relatively stable. In the absence of drug treatment, people in the younger group (<25 years) rated their health better than those in a slightly older group which is consistent with lower disability.

Cerebrospinal Fluid α-Calcitonin Gene-Related Peptide: A Comparison between Alzheimer's Disease and Multiple Sclerosis

Alzheimer's disease (AD) and Multiple Sclerosis (MS) represent an emerging health problem on a global scale, as they are responsible for a significant contribution to the burden of disability in Western countries. Limited numbers of cerebrospinal fluid (CSF) diagnostic markers are available for each disease (amyloid and tau deposition markers for AD and oligoclonal bands for MS) representing mostly state markers that provide few, if any, clues about the severity of the clinical phenotype. α-CGRP is a neuropeptide implied in nociception, vasodilation, synaptic plasticity and immune functions. This neuropeptide is expressed in encephalic regions connected to memory, attention, autonomic and behavioral functions and is also expressed by spinal motor neurons. The present work confronted α-CGRP levels between 19 AD, 27 MS and 17 control subjects using an ELISA/EIA assay. We measured higher CSF α-CGRP contents in control subjects with respect to AD, as shown in previous studies, as well as in MS patients in comparison to AD. The control subjects and MS patients did not significantly differ between each other. We did not observe a relationship between CSF protein content, albumin quotient and α-CGRP. We also describe, retrospectively, an association between higher CSF CGRP content and higher MRI overall lesion count in MS and between lower α-CGRP and worse attention and visuo-perceptual skills in AD. We speculate that α-CGRP could be differentially involved in both disabling diseases.

Burden of multiple sclerosis in Iran from 1990 to 2017

Background

Multiple Sclerosis (MS) is a burdensome, chronic and autoimmune disease of the central nervous system. We aimed to report the incidence, prevalence, mortality, and Disability Adjusted Life Years (DALYs) of MS in Iran at a national level for different age and sex groups over a period of 28 years (1990–2017).

Methods

Data were extracted from the Global Burden of Disease study (GBD) from 1990 to 2017, published by the Institute for Health Metrics and Evaluation. The incidence of DALYs and prevalence of MS were estimated to report the burden of MS based on sex and age in Iran from 1990 to 2017.

Results

At the national level, the Age-Standardized Incidence Rate (ASIR), Age-Standardized Prevalence Rate (ASPR), Age-Standardized DALYs Rate (ASDR) and the Age-Standardized Mortality Rate (ASMR) in Iran in 2017 were 2.4 (95% Uncertainty Interval [UI]: 2.1 to 2.7), 69.5 (62.1 to 77.8), 29.1 (23.6 to 34.7), and 0.4 (0.3 to 0.4) per 100,000 population, respectively. During the period of 1990 to 2017, all measures increased, and were higher among females. The incidence rate began upward trend at the age of 20 and attained its highest level at the age of 25.

Conclusion

In Iran, all of the age-standardized MS rates have been increasing during the 28 years from 1990 to 2017. Our findings can help policy makers and health planners to design and communicate their plans and to have a better resource allocation, depending on the incidence and prevalence of the growing numbers of MS patients in Iran.

Quality of life measures in pediatric multiple sclerosis: a systematic review and meta-analysis

AIM

To identify generic measures used to measure quality of life (QoL) in pediatric multiple sclerosis research, estimate an overall score of children and adolescents with pediatric multiple sclerosis, and compare the scores to scores of typically developing children and adolescents.

METHOD

A systematic search was conducted on four databases. All studies were included if: the sample was children with pediatric demyelinating disorders; self-reported QoL/health-related quality of life (HRQoL) measures or results were reported; and the mean age of the sample was below 21 years. Quality of the included articles was appraised using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist and the Mixed Methods Appraisal Tool checklist. A meta-analysis was also conducted.

RESULTS

A total of 12 full-text articles were included. Content analysis showed that many components of QoL were not included in the measures. Seven studies were included in the meta-analysis. The meta-analyzed score was 75.7 (95% confidence interval 71.2-80.3) with a pooled standard deviation of 16.6. Scores of typically developing children and children with pediatric multiple sclerosis were similar.

INTERPRETATION

Most measures assessed HRQoL and not QoL. Development of a condition-specific measure of QoL for children and adolescents with pediatric multiple sclerosis would make an important contribution to the field. What this paper adds Health-related quality of life (HRQoL) measures were used to measure quality of life in pediatric multiple sclerosis. HRQoL scores in pediatric multiple sclerosis were similar to typically developing children and adolescents.

IFP35 family proteins promote neuroinflammation and multiple sclerosis

Excessive activation of T cells and microglia represents a hallmark of the pathogenesis of human multiple sclerosis (MS). However, the regulatory molecules overactivating these immune cells remain to be identified. Previously, we reported that extracellular IFP35 family proteins, including IFP35 and NMI, activated macrophages as proinflammatory molecules in the periphery. Here, we investigated their functions in the process of neuroinflammation both in the central nervous system (CNS) and the periphery. Our analysis of clinical transcriptomic data showed that expression of IFP35 family proteins was up-regulated in patients with MS. Additional in vitro studies demonstrated that IFP35 and NMI were released by multiple cells. IFP35 and NMI subsequently triggered nuclear factor kappa B-dependent activation of microglia via the TLR4 pathway. Importantly, we showed that both IFP35 and NMI activated dendritic cells and promoted naïve T cell differentiation into Th1 and Th17 cells. Nmi-/- , Ifp35-/- , or administration of neutralizing antibodies against IFP35 alleviated the immune cells' infiltration and demyelination in the CNS, thus reducing the severity of experimental autoimmune encephalomyelitis. Together, our findings reveal a hitherto unknown mechanism by which IFP35 family proteins facilitate overactivation of both T cells and microglia and propose avenues to study the pathogenesis of MS.

Stem Cell Therapies for Progressive Multiple Sclerosis

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by demyelination and axonal degeneration. MS patients typically present with a relapsing-remitting (RR) disease course, manifesting as sporadic attacks of neurological symptoms including ataxia, fatigue, and sensory impairment. While there are several effective disease-modifying therapies able to address the inflammatory relapses associated with RRMS, most patients will inevitably advance to a progressive disease course marked by a gradual and irreversible accrual of disabilities. Therapeutic intervention in progressive MS (PMS) suffers from a lack of well-characterized biological targets and, hence, a dearth of successful drugs. The few medications approved for the treatment of PMS are typically limited in their efficacy to active forms of the disease, have little impact on slowing degeneration, and fail to promote repair. In looking to address these unmet needs, the multifactorial therapeutic benefits of stem cell therapies are particularly compelling. Ostensibly providing neurotrophic support, immunomodulation and cell replacement, stem cell transplantation holds substantial promise in combatting the complex pathology of chronic neuroinflammation. Herein, we explore the current state of preclinical and clinical evidence supporting the use of stem cells in treating PMS and we discuss prospective hurdles impeding their translation into revolutionary regenerative medicines.

Multiple sclerosis epidemiology in Asia and Oceania; A systematic review and meta-analysis

BACKGROUND

Multiple sclerosis (MS) is an inflammatory demyelinating CNS disease and the most common neurological immune-mediated disorder. Due to its progressive format, it affects patients' quality of life (QoL) significantly. This study aimed to evaluate epidemiologic parameters of MS in the Asia and Oceania continents.

METHODS

A comprehensive literature search on October 1st, 2020, was performed in PubMed, Scopus, and Web of Science to retrieve original population-based studies on MS epidemiology in the Asian and Oceanian countries, published between January 1st, 1985 and October 1st, 2020. The designed search strategy was repeated for each country, and the relevant referenced articles were added to our database. A random-effect model was used to combine the epidemiological estimates, and subgroup analysis was also performed by continent, region, and country, when possible. Meta-regression analysis was done to evaluate the effects of Human Developmental Index (HDI), latitude, and study period on the epidemiologic parameters.

RESULTS

A total of 3,109 publications were found, of which 89 articles met the eligibility criteria and were included for data extraction. These articles provided data on prevalence, incidence, and mean age at disease onset in 18 countries in Asia and Oceania, including Iran, Turkey, Cyprus, Kuwait, Saudi Arabia, Qatar, UAE, Jordan, Israel, India, Malaysia, China, Hong Kong, Taiwan, Republic of Korea, Japan, Australia, and New Zealand. The pooled total prevalence, incidence, and mean age of onset in Asia and Oceania were 37.89/100000 (95% CI: 35.65 - 40.142), 2.40/100000 (95% CI: 2.22 - 2.58), and 28.21 (95% CI: 27.55 - 28.88), respectively. MS prevalence and incidence in the female gender (68.7/100000 and 4.42/100000, respectively) were infinitely higher than in the male gender (24.52/100000 and 2.06/100000, respectively). Our subgroup analysis showed that MS was much more prevalent in Australia and West Asia among the studied area. The meta-regression showed that the total incidence decreased with an increase in the HDI, and the total prevalence in Asia increased with increasing latitude gradients. Also, the study period had a positive effect on the total prevalence and incidence in Asia and Oceania.

CONCLUSION

MS prevalence and incidence have increased in recent decades. This study highlights the need for further studies to elucidate MS's geographical and temporal variations' exact etiologies.

Psychological well-being in people with multiple sclerosis and its association with illness perception and self-esteem

BACKGROUND

Illness perception and self-esteem were found to improve adjustment to disease in many chronic conditions. However, so far, little is known about the role of illness-appraisal and self-appraisal factors in psychological well-being in people with multiple sclerosis (MS). Thus, we aimed to assess the association between illness perception, self-esteem and psychological well-being in people with MS while controlling for sociodemographic variables, clinical variables, and sleep-related problems.

METHODS

The General Health Questionnaire-28, the Brief Illness Perception Questionnaire, the Rosenberg Scale of Self-esteem, the Expanded Disability Status Scale, the Pittsburgh Sleep Quality Index, and the Multidimensional Fatigue Inventory were used. Multiple linear regressions and mediation analyses were utilized to analyse the data.

RESULTS

Positive illness perception (p<0.001) and self-esteem (p<0.05) were significantly associated with psychological well-being in MS. Low income (p<0.05) and sleep-related problems (p<0.001) were significantly associated with lower level of psychological well-being in people with MS. Positive illness perception and self-esteem were able to diminish the association between low income (p>0.05), poor sleep quality (p<0.01), fatigue (p>0.05), and low level of psychological well-being. Self-esteem also mediated the association between illness perception and psychological well-being.

DISCUSSION

People with MS may benefit from psychological support aimed at promoting self-esteem and diminishing negative illness perception.

Cornuside alleviates experimental autoimmune encephalomyelitis by inhibiting Th17 cell infiltration into the central nervous system

The present study was conducted to clarify the therapeutic effect of cornuside on experimental autoimmune encephalomyelitis (EAE) and its influence on T helper 17 (Th17) cell and regulatory T (Treg) cell infiltration into the central nervous system. Rats were randomly placed into four treatment groups: control, EAE, EAE+cornuside, and EAE+prednisolone. The neurological function scores of rats were assessed daily. On the second day after EAE rats began to show neurological deficit symptoms, the four groups were treated with normal saline, normal saline, cornuside (150 mg/kg), and prednisolone (5 mg/kg), respectively. The treatment was discontinued after two weeks, and the spinal cord was obtained for hematoxylin and eosin (H&E) and luxol fast blue staining, as well as retinoic acid receptor-related orphan receptor γ (RORγ) and forkhead box protein P3 (Foxp3) immunohistochemical staining. Blood was collected for Th17 and Treg cell flow cytometry testing, and the serum levels of interleukin (IL)-17A, IL-10, transforming growth factor-β (TGF-β), IL-6, IL-23, and IL-2 were measured via enzyme-linked immunosorbent assay (ELISA). Compared with rats in the EAE group, rats in the EAE+cornuside and EAE+prednisolone groups began to recover from neurological deficits earlier, and had a greater degree of improvement of symptoms. Focal inflammation, demyelination, and RORγ-positive cell infiltration were reduced by cornuside or prednisolone treatment, whereas the Foxp3-positive cell numbers were not significantly different. Meanwhile, the number of Th17 cells and the IL-17A, IL-6, and IL-23 levels were lower in the blood after cornuside or prednisolone treatment, whereas the number of Treg cells or the levels of IL-10, TGF-β, and IL-2 were not markedly different. Cornuside can alleviate symptoms of EAE neurological deficits through its anti-inflammatory and immunosuppressive effects, and Th17 cells may be one of its therapeutic targets.

Status of Immunotherapy Acceptance in Chinese Patients With Multiple Sclerosis: Analysis of Multiple Sclerosis Patient Survival Report 2018

Objective: The prevalence of multiple sclerosis (MS) in China is low, although it has been increasing recently. Owing to the paucity of data on immunotherapy acceptance in the Chinese population, we conducted this study to analyze factors affecting the acceptance of immunotherapy and selection of disease-modifying therapies (DMTs) based on personal and clinical data of patients with MS. Methods: In this study, data were obtained from the Multiple Sclerosis Patient Survival Report 2018, which was the first national survey of patients with MS in China. There were 1,212 patients with MS from 31 provinces who were treated at 49 Chinese hospitals over a 4-month period from May 2018 to August 2018, and the patients were asked to complete online questionnaires to assess their understanding of the disease. Results: In general, highly educated patients with frequent relapses were more willing to receive treatment regardless of DMTs or other immunotherapy, and patients with more understanding of the disease opted to be treated. Younger patient population, patients with severe disease course, and those with more symptoms were likely to choose the treatment. Moreover, a higher proportion of women chose to be treated with DMTs than with other immunotherapies. Conclusions: Education status and patient awareness of the disease impact the treatment acceptance in Chinese patients with MS. Therefore, we call for improving the awareness of MS disease and social security to help patients to improve their quality of life.

Age and sex adjusted prevalence and annual incidence of multiple sclerosis in East-Azerbaijan, Iran

BACKGROUND

Incidence and prevalence of multiple sclerosis (MS) is postulated to be rising in recent decades. Therefore, updating and completing the information of patients is essential, especially in high population areas. East-Azerbaijan is the largest and most populous province in the northwest of Iran. This study aimed to determine the prevalence and annual incidence of MS from 2008 to 2017 in East-Azerbaijan.

METHODS

We evaluated the data of all patients who had registered at the MS center in the university hospital. The data include nearly all MS patients in the East-Azerbaijan region, because it is the only referral site in the area. All of the reported rates were calculated in 100,000 of the total population.

RESULTS

By the end of 2017, the number of MS patients was 2995 (residing in the, with 769 (25.67%) men and 2226 (74.32%) women. The prevalence rate was 75.72/100,000 (95 % CI: 73.06-78.48), 38.2 in men (95% CI: 35.5-41.0), and 114.61 for women (95% CI: 109.9-119.4), with a female to male (F/M) ratio of 3:1. The mean annual incidence rate was 7.63/100,000 (95% CI: 5.6-9.3), and this rate was higher in women than men. During the nine years, the incidence rate increased. The patients' mean age was 32.33 ± 8.92, with a peak prevalence in 25-29 years for both genders. In this study, 13.9% of patients had a positive MS family history.

CONCLUSIONS

This study showed a high prevalence of MS in the region. There is a significant increase in the incidence of MS during the nine years in East-Azerbaijan. The increment of incidence was more prominent in women. Also, considering the increasing incidence rate, it is concluded that the risk of MS is increasing in this region.

Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis

The diagnosis of multiple sclerosis (MS) is usually based on clinical symptoms and signs of damage to the central nervous system, which is assessed using magnetic resonance imaging. The correct interpretation of these data requires excellent clinical expertise and experience. Deep neural networks aim to assist clinicians in identifying MS using imaging data. However, before such networks can be integrated into clinical workflow, it is crucial to understand their classification strategy. In this study, we propose to use a convolutional neural network to identify MS patients in combination with attribution algorithms to investigate the classification decisions. The network was trained using images acquired with susceptibility-weighted imaging (SWI), which is known to be sensitive to the presence of paramagnetic iron components and is routinely applied in imaging protocols for MS patients. Different attribution algorithms were used to the trained network resulting in heatmaps visualizing the contribution of each input voxel to the classification decision. Based on the quantitative image perturbation method, we selected DeepLIFT heatmaps for further investigation. Single-subject analysis revealed veins and adjacent voxels as signs for MS, while the population-based study revealed relevant brain areas common to most subjects in a class. This pattern was found to be stable across different echo times and also for a multi-echo trained network. Intensity analysis of the relevant voxels revealed a group difference, which was found to be primarily based on the T1w magnitude images, which are part of the SWI calculation. This difference was not observed in the phase mask data.

The course of multiple sclerosis rewritten: a Norwegian population-based study on disease demographics and progression

OBJECTIVES

Over the past few decades, there has been an improvement in the rate of disability progression in multiple sclerosis (MS) patients, and most studies relate this evolvement to the introduction of disease-modifying therapies. However, several other factors have changed over this period, including access to MRI and newer diagnostic criteria. The aim of this study is to investigate changes in the natural course of MS over time in a near-complete and geographically well-defined population from the south-east of Norway.

METHODS

We examined disease progression and demographics over two decades and assessed the effect of disease-modifying therapies using linear mixed-effect models.

RESULTS

In a cohort of 2097 patients, we found a significant improvement in disability as measured by the Expanded Disability Status Scale (EDSS) stratified by age, and the improvement remained significant after adjusting for time on disease-modifying medications, gender and progressive MS at onset. The time from disease onset to EDSS 6 in the total cohort was 29.8 years (95% CI 28.5-31.1) and was significantly longer in patients diagnosed after 2006 compared to patients diagnosed before. There are significant differences between patient demographics, as well as time to EDSS 6, in the near-complete, geographically well-defined population compared to an additional cohort from the capital Oslo and its suburbs.

CONCLUSION

The natural course of MS is improving, but the improvement seen in disease progression has multifaceted explanations. Our study underlines the importance of completeness of data, relevant timeframes and demographics when comparing different MS populations. Studies on incomplete populations should be interpreted with caution.

Changes in multiple sclerosis epidemiology in Finland over five decades

Finland is a high-risk region for multiple sclerosis (MS) with several epidemiological studies on the subject published since 1964, but these have not been comprehensively scrutinized. The objective of this study was to review previous studies of Finnish MS epidemiology, introduce new data on MS prevalence in western parts of Finland and do further analyses on data from previous studies. We performed a systematic search on articles regarding MS epidemiology in Finland in PubMed database, and all relevant articles were included in this review. MS prevalences in the western hospital districts of Vaasa, South Ostrobothnia and Pirkanmaa were calculated in 1980-2007 by using previously unpublished data obtained from a retrospective search from hospital administrative registries. To enhance comparability of the epidemiological figures, we calculated age-standardized prevalence of MS from the new data from western hospital districts and previous data from North Ostrobothnia, Southwest Finland and North Karelia. Marked regional differences in MS epidemiology were confirmed with concentration of the disease in the western and south-western parts of the country. The highest regional age-standardized MS prevalence of 288/100 000 was reported in South Ostrobothnia in 2007. A clear and stable increase in MS prevalence was observed through the decades, but the only marked increase in incidence happened in 1990s. Methodological differences hampered direct comparisons of different studies, highlighting the importance of common principles of reporting and standardizing the epidemiological figures. More comprehensive studies on MS epidemiology are still warranted to yield important information concerning the aetiology of the disease.

Incidence of multiple sclerosis in China: A nationwide hospital-based study

BACKGROUND

Multiple sclerosis (MS) is a leading cause of disability among young adults and effects considerable social and economic burdens. Data of MS incidence in China at the national level is lacking. We conducted the first nationwide hospital-based study to estimate the incidence and hospitalization burden of MS in China.

METHODS

This study is based on an administrative database of the National Hospital Quality Monitoring System, which covers all 1665 tertiary hospitals in mainland China. The "Medical Record Homepage" of all patients, including 346 variables including demographic characteristics, diagnoses, procedures, and expenses etc., were uniformly collected across each tertiary hospital via standard protocol. MS was defined by the 2010 International Panel criteria for MS and was identified by ICD-10 code (G35•0).

FINDINGS

We identified 27,336 hospital admissions for 15,060 MS patients from 2016 to 2018; amongst these patients, 9,879 were newly diagnosed. The age- and sex-adjusted incidence per 100,000 person-years is 0•235 (95% confidence interval [CI] 0•230-0•240), with 0•055 (0•050-0•060) in children and 0•288 (0•282-0•294) in adults, respectively. The female to male ratio is 2•02; the peak disease onset is age of 40-49 years. Residents in high-latitude and high-altitude areas are more likely to develop MS (F = 8•99; p < 0•001). Prevalent comorbidities include hypertension (18•8%), diabetes (7•2%), stroke (14•7%), depression or anxiety (3•7%), and autoimmune disease (2•3%). Through 2016-2018, 104 adults and 2 children died, with a hospital mortality rate of 9•9 per 1,000 person-years.

INTERPRETATION

For the first time, we obtain the national incidence of MS as 0.055 in children and 0.288 in adults per 100,000 in China. The geographical distribution of MS incidence presented a north-south latitude gradient and a west-east altitude gradient.

FUNDING

National Science Foundation of China (81801199, 91642205, and 81830038); Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing.

The Effect of Foot Reflexology on Fatigue, Sleep Quality and Anxiety in Patients with Multiple Sclerosis: A Randomized Controlled Trial

Background: Fatigue, sleep disorders, and anxiety are common symptoms in multiple sclerosis (MS) patients. MS reduced the quality of life by these symptoms in patients. Studies have shown that foot reflexology may reduce some problems of this disease. Objectives: The present randomized controlled trial study investigated the effect of reflexology on fatigue, sleep quality, and anxiety in patients with multiple sclerosis. Methods: This study included 63 patients with MS referred to Arak MS society in 2018 - 2019. Reflexology and placebo intervention had applied twice a week for 4 weeks, and each session lasted about 30 - 40 minutes. Fatigue Impact scale (FIS), Pittsburgh sleep quality index (PSQI) and state-trait anxiety inventory (STAI) was used for data collection before and after the intervention. A significant statistical level was considered 0.05. Data were analyzed using the SPSS software (V. 16.0). Results: Significant improvement was observed in physical fatigue (P = 0.042), sleep quality (P = 0.001) and anxiety (P = 0.034) in the reflexology group after the intervention. Fatigue Impact Scale (FIS) revealed a decrease in fatigue level in MS patients, but these alterations were not significant (P = 0.134). Conclusions: Reflexology is a non-invasive, simple, affordable, and low-cost nursing intervention that can be helpful in reducing physical fatigue, anxiety, and improving sleep quality of people with MS.

Promises and Limitations of Neural Stem Cell Therapies for Progressive Multiple Sclerosis

Multiple disease-modifying medications with regulatory approval to treat multiple sclerosis (MS) are unable to prevent inflammatory tissue damage in the central nervous system (CNS), and none directly promote repair. Thus, there is an unmet clinical need for therapies that can arrest and reverse the persistent accumulation of disabilities associated with progressive forms of MS (P-MS). Preclinical research has revealed an unexpected ability of neural stem cell (NSC) therapies to provide neurotrophic support and inhibit detrimental host immune responses in vivo following transplantation into the chronically inflamed CNS. We discuss NSC transplantation as a promising therapy for P-MS, elaborate on the necessities of clinical trial validation and formalized usage guidelines, and caution about unscrupulous 'clinics' marketing unproven therapies to patients.

Evidence of an increased prevalence of multiple sclerosis: a population-based study of Tehran registry during 1999-2018

BACKGROUND

The epidemiological characteristics of multiple sclerosis (MS) have been investigated in various studies, which have revealed that the prevalence of MS varies across countries. The present study was conducted to investigate the longitudinal prevalence of MS in Tehran, Iran.

METHODS

The present population-based study was conducted in Tehran, the capital of Iran from 1999 to 2018 based on the annual report data provided by the Iranian MS Society (IMSS) registry system. The age-standardized and crude prevalence were estimated using population data presented by the Statistical Centre of Iran.

RESULTS

A total of 21,580 MS cases were registered and included in the analysis. Among the participant patients, 24.99% (5393) and 75.01% (16,187) of cases were male and female, respectively. The mean age of MS onset was 28.8 years (S.D: 8.7). The age-standardized prevalence (ASP) of MS increased from 73.7 (95%CI: 72.1-75.2) per 100,000 people in 2006 to 137.6 (95% CI: 135.7-139.5) per 100,000 people in 2018. The ASP of MS in 2018 was estimated to be 67.9 (95%CI: 66.0-69.8) and 207.3 (95%CI: 204.0-210.7) per 100,000 people among males and females, respectively. The age-standardized female-to-male ratio of MS ranged from 3.7 (in 2010) to 2.06 (in 2017).

CONCLUSION

The findings of this study suggested that the prevalence of MS in Tehran province is relatively high, and the occurrence of the disease is more common in the age groups under 40 years as compared with older-aged groups. In line with reports provided for various regions of the world, the prevalence of MS was higher among women. Similarly, the findings of this study revealed that the female-to-male ratio was 2.14 in 2018.

Cost-efficiency of specialist inpatient rehabilitation for adults with multiple sclerosis: A multicentre prospective cohort analysis of the UK Rehabilitation Outcomes Collaborative national clinical dataset for rehabilitation centres in England

Background

Rehabilitation is effective for multiple sclerosis, but is it value for money?

Objectives

To evaluate functional outcomes, care needs and cost-efficiency of specialist inpatient rehabilitation for adults with multiple sclerosis (MS).

Methods

A multicentre cohort study of prospectively collected clinical data from the UK Rehabilitation Outcomes Collaborative national clinical database. Data included all adults with MS (n = 1007) admitted for specialist inpatient (Level 1 or 2) rehabilitation in England, 2010–2018.

Outcome measures

Dependency/care needs: Northwick Park Dependency Scale/Care Needs Assessment, Functional independence: UK Functional Assessment Measure (UK FIM+FAM). Cost-efficiency. Patients were analysed in three dependency groups (High/Medium/Low).

Results

All groups showed significant reduction in dependency between admission and discharge on all measures (paired t-tests: p < 0.001). Mean reduction in care costs/week was greatest in the most dependent patients: High: £519 (95% CI: 447–597), Medium: £148 (76–217), Low: £36 (12–83). Despite longer stays, time taken to offset the cost of rehabilitation was shortest in the most dependent patients: High: 12.9 (12.0–14.1) months; Medium: 29.3 (21.3–51.8); Low: 76.8 (0–36.1). Item-level changes corresponded with clinical experience.

Conclusions

Specialist rehabilitation provided good value for money in patients with MS, yielding improved outcomes and substantial savings in ongoing care costs, especially in high-dependency patients.