Brain health: time matters in multiple sclerosis

Prevalence and Burden of Multiple Sclerosis in China, 1990-2019: Findings From the Global Burden of Disease Study 2019

BACKGROUND AND OBJECTIVES

Multiple sclerosis (MS) is the leading cause of neurologic disability in young adults, but the burden caused by MS in China is lacking. We aimed to comprehensively describe the prevalence and health loss due to MS by demographic and geographical variables from 1990 to 2019 across China.

METHODS

Data were obtained from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019). We used GBD methodology to systematically analyze the prevalence, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) due to MS by age, sex, and location from 1990 to 2019 in mainland China and its provinces. We also compared the MS burden in China with the world and other Group of 20 (G20) countries.

RESULTS

In 2019, 42,571 (95% uncertainty interval [UI] 33,001-53,329) individuals in China had MS, which doubled from 1990. The age-standardized prevalence rate of MS was 2.32 per 100,000 (95% UI 1.78-2.91), which increased by 23.31% (95% UI 20.50-25.89) from 1990, with most of the growth occurring after 2010. There was a positive latitudinal gradient with the increasing prevalence from south to north across China. The total DALYs caused by MS were 71,439 (95% UI 58,360-92,254) in 2019, ranking China third among G20 countries. Most of the MS burden in China derived from premature mortality, with the higher fraction of YLLs than that at the global level and most other G20 countries. From 1990 to 2019, the age-standardized DALY and YLL rate had nonsignificant changes; however, the age-standardized YLD rate substantially increased by 23.33% (95% UI 20.50-25.89). The geographic distribution of MS burden varied at the provincial level in China, with a slight downward trend in the age-standardized DALY rates along with increasing Socio-Demographic Index over the study period.

DISCUSSION

Although China has a low risk of MS, the substantial and increasing prevalent cases should not be underestimated. The high burden due to premature death and geographic disparity of MS burden reveals insufficient management of MS in China, highlighting the needs for increased awareness and effective intervention.

Towards new perspectives: A scoping review and meta-synthesis to redefine brain health for multiple sclerosis

BACKGROUND AND PURPOSE

Research promoting the health of the brain has increased exponentially over the last decade. The importance of 'brain health' for multiple sclerosis (MS), as one example, is a high priority. However, as research into the concept increases, so does varied use of the term.

METHODS

A scoping review, guided by the methodological framework of the Joanna Briggs Institute, was conducted to collate the evidence relating to brain health for MS. A comprehensive literature search incorporated six search strategies to retrieve both scientific and grey literature sources. All evidence sources were qualitatively charted and synthesized (meta-synthesis) according to their definition of brain health used, outcome measures and brain-healthy lifestyle elements.

RESULTS

Seventy evidence sources (34 peer reviewed, 36 grey literature) were eligible for inclusion. Of these, just over half (n = 40, 57%) provided a definition of brain health. The most common definition alluded to the biomedical model of neurological reserve (n = 22, 55%), a self-remodelling theory described to retain optimal brain function. Twenty-nine outcome measures of brain health were identified, the most frequent being magnetic resonance imaging metrics (n = 25, 83%). Physical activity was the most prevalent brain-healthy lifestyle element (n = 44), followed by avoidance of smoking (n = 26) and diet (n = 24).

CONCLUSIONS

Brain health should be considered a primary target for optimal disease and lifestyle management across the MS disease course. A working definition reflecting a shift from a medical lens towards broader biopsychosocial contexts that may influence brain health for people living with MS is proposed.

Early use of high-efficacy therapies in multiple sclerosis in the United States: benefits, barriers, and strategies for encouraging adoption

Multiple sclerosis (MS) is characterized by progressive neuroinflammation and neurodegeneration from disease onset that, if left untreated, can result in the accumulation of irreversible neurological disability. Early intervention with high-efficacy therapies (HETs) is increasingly recognized as the best strategy to delay or mitigate disease progression from the earliest stages of the disease and to prevent long-term neurodegeneration. Although there is growing clinical and real-world evidence supporting early HET intervention, foregoing this strategy in favor of a traditional escalation approach prioritizing lower-efficacy disease-modifying therapies remains a common approach in clinical practice. This review explores potential health care professional- and patient-related barriers to the early use of HETs in patients with MS in the United States. Barriers can include regulatory and reimbursement restrictions; knowledge gaps and long-term safety concerns among health care professionals; and various individual, cultural, and societal factors affecting patients. Potential strategies for overcoming these barriers and encouraging early HET use are proposed.

Functional outcomes of diets in multiple sclerosis (FOOD for MS): Protocol for a parallel arm randomized feeding trial for low glycemic load and calorie restriction

BACKGROUND

Pilot trials indicate that both a low glycemic load (GL) diet and calorie restriction (CR) can be implemented successfully in people with multiple sclerosis (pMS) and may improve MS symptoms and physical function, but large randomized clinical trials (RCTs) have not yet been conducted. The purpose of this study is to test these interventions alone and in combination to determine their efficacy for improving clinical and patient reported outcomes (PROs) in pMS.

METHODS

This 32-week, two-arm, RCT at two centers will randomly assign 100 adults with relapsing-remitting or secondary progressive MS to a low GL diet (n = 50) or a standard GL diet (n = 50). Both diet groups will complete two study phases: a eucaloric phase (16 weeks) and a CR phase (16 weeks). Groceries for the study meal plans will be delivered to participants' homes weekly. The primary outcome is physical function, measured by timed 25-ft walk test. Secondary outcomes are pain, fatigue, mood, and anxiety.

DISCUSSION

This will be the most rigorous intervention trial to date of a low GL diet and CR in adults with MS, and among the first to assess the impact of intentional weight loss on MS symptoms. Results will provide valuable insight for recommending dietary change, weight loss, or both to adults with MS. These non-drug interventions pose few risks and have potential to yield significant improvements in MS symptoms.

TRIAL REGISTRATION ID

NCT05327322.

Exploring suicidal ideation prevalence in multiple sclerosis patients during the COVID-19 pandemic: A study on the relationship between drug use and suicidal ideation

BACKGROUND

The COVID-19 pandemic has exacerbated psychological challenges, leading to increased rates of clinically significant depression and suicidal ideation among MS patients. Despite advancements in MS treatments, there remains a need to investigate the impact of different drugs on the prevalence of suicidal ideation, particularly in the context of the pandemic.

METHOD

This cross-sectional study, conducted in 2021, received ethics approval from the Ethics Committee of Kerman University of Medical Science. The study involved 234 MS patients selected from the MS Association in Kerman Province. Questionnaires were prepared and distributed via Google Drive and WhatsApp, with participants providing informed consent. The collected data were analyzed using SPSS software. Inclusion criteria encompassed adults diagnosed with MS according to specific criteria and willing to complete the questionnaires, while exclusion criteria included unclear diagnostic criteria and lack of cooperation. The instruments included a demographic questionnaire, medication checklist, and the Beck Suicidal Thought Scale questionnaire, which has been validated in Iran.

RESULTS

202 MS patients completed the questionnaires, most of whom were women and married. The prevalence of Suicidal Ideation was 46.5 %, with 8.9 % at high risk. Factors such as gender, marital status, education, occupation, and city did not show statistically significant differences in SI. Patients with SI had a longer duration of illness and were more likely to have seen a psychiatrist. The COVID-19 pandemic affected the necessary care for 44.6 % of patients and worsened symptoms in 28.7 %. Additionally, 30.2 % of patients had seen a psychiatrist, and the prevalence of SI was significantly higher in this group. The study also explored the prevalence of SI with comorbidities and types of drugs used, finding no statistically significant differences.

CONCLUSION

The study revealed a high prevalence of suicide ideation among MS patients, emphasizing the need for tailored comprehensive support. Factors contributing to SI included limited healthcare access, fear of COVID-19 complications, social isolation, and heightened anxiety. Recommendations for healthcare providers stress early diagnosis, personalized treatment plans, and collaborative efforts to enhance the well-being of individuals with MS in Iran post-COVID-19.

Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study

BACKGROUND

Limited studies of multiple sclerosis (MS) exist whereby magnetic resonance imaging (MRI) of the brain with consistent imaging protocols occurs at the same time points as collection of healthy lifestyle measures. The aim of this study was to test the feasibility, acceptability and preliminary efficacy of acquiring MRI data as an objective, diagnostic and prognostic marker of MS, at the same time point as brain-healthy lifestyle measures including diet.

METHODS

Participants living with relapsing remitting MS partook in one structural MRI scanning session of the brain, completed two online 24-hour dietary recalls and demographic and self-reported lifestyle questionnaires (e.g. self-reported disability, comorbidities, physical activity, smoking status, body mass index (BMI), stress). Measures of central tenancy and level of dispersion were calculated for feasibility and acceptability of the research protocols. Lesion count was determined by one radiologist and volumetric analyses by a data analysis pipeline based on FreeSurfer software suite. Correlations between white matter lesion count, whole brain volume analyses and lifestyle measures were assessed using Spearman's rank-order correlation coefficient.

RESULTS

Thirteen female participants were included in the study: eligibility rate 90.6% (29/32), recruitment rate 46.9% (15/32) and compliance rate 87% (13/15). The mean time to complete all required tasks, including MRI acquisition was 115.86 minutes ( ± 23.04), over 4 days. Conversion to usual dietary intake was limited by the small sample. There was one strong, negative correlation between BMI and brain volume (rs = -0.643, p = 0.018) and one strong, positive correlation between physical activity and brain volume (rs = 0.670, p = 0.012) that were both statistically significant.

CONCLUSIONS

Acquiring MRI brain scans at the same time point as lifestyle profiles in adults with MS is both feasible and accepted among adult females living with MS. Quantification of volumetric MRI data support further investigations using semi-automated pipelines among people living with MS, with pre-processing steps identified to increase automated feasibility. This protocol may be used to determine relationships between elements of a brain-healthy lifestyle, including dietary intake, and measures of disease burden and brain health, as assessed by T1-weighted and T2-weighted lesion count and whole brain volume, in an adequately powered sample.

TRIAL REGISTRATION

The study protocol was retrospectively registered in the Australia New Zealand Clinical Trials Registry (ACTRN12624000296538).

Palliative Care Aspects in Multiple Sclerosis

CONTEXT

Multiple sclerosis (MS) is an inflammatory, chronic, demyelinating, and neurodegenerative disorder of central nervous system, determined by an auto-immune dysfunction. Severe disability generally occurs in patients with progressive forms of MS that typically develop either after an earlier relapsing phase or less commonly from disease onset. Despite advances in research to slow the progression of MS, this condition remains a life-limiting disease with symptoms impacting negatively the lives of patients and caregivers.

OBJECTIVES

To analyze the difefrent aspects of palliative cae in patients with MS.

METHODS

To analyse selected literature assessing several palliative care aspects in patients with MS.

RESULTS

People with MS have complex symptoms and different needs. These demands include how to deal with the burden of physical disability, how to organise daily life, restructuring social roles in the family and at work, keeping self-sufficiency in personal care, and preserving personal identity and community roles.

CONCLUSION

An early palliative care approach aims to improve the palliative care skills and competencies of health professionals caring for the patients since the early stage of disease, including those who are actively undergoing disease-targeted therapies, rather than merely providing end-of-life care.

Identification and management of subclinical disease activity in early multiple sclerosis: a review

IMPORTANCE

Early treatment initiation in multiple sclerosis (MS) is crucial in preventing irreversible neurological damage and disability progression. The current assessment of disease activity relies on relapse rates and magnetic resonance imaging (MRI) lesion activity, but inclusion of other early, often "hidden," indicators of disease activity may describe a more comprehensive picture of MS.

OBSERVATIONS

Early indicators of MS disease activity other than relapses and MRI activity, such as cognitive impairment, brain atrophy, and fatigue, are not typically captured by routine disease monitoring. Furthermore, silent progression (neurological decline not clearly captured by standard methods) may occur undetected by relapse and MRI lesion activity monitoring. Consequently, patients considered to have no disease activity actually may have worsening disease, suggesting a need to revise MS management strategies with respect to timely initiation and escalation of disease-modifying therapy (DMT). Traditionally, first-line MS treatment starts with low- or moderate-efficacy therapies, before escalating to high-efficacy therapies (HETs) after evidence of breakthrough disease activity. However, multiple observational studies have shown that early initiation of HETs can prevent or reduce disability progression. Ongoing randomized clinical trials are comparing escalation and early HET approaches.

CONCLUSIONS AND RELEVANCE

There is an urgent need to reassess how MS disease activity and worsening are measured. A greater awareness of "hidden" indicators, potentially combined with biomarkers to reveal silent disease activity and neurodegeneration underlying MS, would provide a more complete picture of MS and allow for timely therapeutic intervention with HET or switching DMTs to address suboptimal treatment responses.

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.

Clinical characterization of long-term multiple sclerosis (COLuMbus) patients in Argentina: A cross-sectional non-interventional study

BACKGROUND

Most Multiple Sclerosis (MS) clinical trials fail to assess the long-term effects of disease-modifying therapies (DMT) or disability.

METHODS

COLuMbus was a single-visit, cross-sectional study in Argentina in adult patients with ≥10 years of MS since first diagnosis. The primary endpoint was to determine patient disability using the Expanded Disability Status Scale (EDSS). The secondary endpoints were to evaluate the distribution of diagnoses between relapsing-remitting MS (RRMS) and secondary progressive MS (SPMS), patient demographics, disease history, and the risk of disability progression. The relationship between baseline characteristics and the current disability state and the risk of disability progression was assessed.

RESULTS

Out of the 210 patients included, 76.7 % had a diagnosis of RRMS and 23.3 % had been diagnosed with SPMS, with a mean disease duration of 17.9 years and 20.5 years, respectively. The mean delay in the initial MS diagnosis was 2.6 years for the RRMS subgroup and 2.8 years for the SPMS subgroups. At the time of cut-off (28May2020), 90.1 % (RRMS) and 75.5 % (SPMS) of patients were receiving a DMT, with a mean of 1.5 and 2.0 prior DMTs, respectively. The median EDSS scores were 2.5 (RRMS) and 6.5 (SPMS). In the RRMS and SPMS subgroups, 23 % and 95.9 % of patients were at high risk of disability, respectively; the time since first diagnosis showed a significant correlation with the degree of disability.

CONCLUSIONS

This is the first local real-world study in patients with long-term MS that highlights the importance of recognizing early disease progression to treat the disease on time and delay disability.

Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments

The robotics discipline is exploring precise and versatile solutions for upper-limb rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic systems to help combat the complexities of this disease, which can impair the ability to perform activities of daily living (ADLs). In order to present the potential and the limitations of smart mechatronic devices in the mentioned clinical domain, this review is structured to propose a concise SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of robotic rehabilitation in MS. Through the SWOT Analysis, a method mostly adopted in business management, this paper addresses both internal and external factors that can promote or hinder the adoption of upper-limb rehabilitation robots in MS. Subsequently, it discusses how the synergy with another category of interaction technologies - the systems underlying virtual and augmented environments - may empower Strengths, overcome Weaknesses, expand Opportunities, and handle Threats in rehabilitation robotics for MS. The impactful adaptability of these digital settings (extensively used in rehabilitation for MS, even to approach ADL-like tasks in safe simulated contexts) is the main reason for presenting this approach to face the critical issues of the aforementioned SWOT Analysis. This methodological proposal aims at paving the way for devising further synergistic strategies based on the integration of medical robotic devices with other promising technologies to help upper-limb functional recovery in MS.

Clinical characteristics and dynamics of disability progression in a cohort of patients with multiple sclerosis in Latvians

There is wide variation in the time from the onset to secondary progressive multiple sclerosis (MS) and some controversy regarding the clinical characteristics of the courses (phenotypes) of MS. The present study aimed to characterize demographic and clinical factors that potentially influence long-term disability progression in the cohort of Latvian MS patients. A descriptive longitudinal incidence study was conducted using a cohort of 288 MS patients beginning in 2011 (disease duration from 1 to 51 years). Socio-demographic and clinical information from the first visit to 15/20 years was analysed in groups stratified by gender and visits at five-time points (the first visit; after a year or 2; after 5 ± 1 year; after 10 ± 2 years; after 15-20 years). Our study was dominated by patients from urban areas and non-smokers. The female/male ratio was 2.4:1; the distribution of clinical courses at the first visit was consistent with most European studies. The most common symptom at presentation in our study was optic manifestations, followed by sensory disturbances and motor deficits. In the Latvian study, gender was not a significant influencing factor on the rate of disease progression; however, patient age was statistically significantly associated with EDSS (Expanded Disability Status Scale) value at the first visit. Early clinical features of MS are important in predicting the disability accumulation of patients. Despite the small differences regarding the first MS symptoms, the disability outcomes in the cohort of Latvian patients are similar to other regions of the world.

Preferences, Adherence, and Satisfaction: Three Years of Treatment Experiences of People with Multiple Sclerosis

Background

To reduce the risk of long-term disability in people with Multiple Sclerosis (pwMS), an increasing number of disease-modifying immune therapies (DMT) are available, involving diverse mechanisms of action, levels of efficacy, treatment risks, and tolerability aspects. Including patient preferences and expectations in shared decision-making may improve treatment satisfaction, adherence, and persistence.

Purpose

To investigate long-term alignment of individual preferences and expectations of pwMS with their actual DMT and its effect on treatment satisfaction, health-related quality of life (HRQoL), adherence, and treatment discontinuation.

Methods

A total of 401 pwMS beginning a new DMT were enrolled from 2015 to 2018 in a non-interventional study at three German MS centres. Patient preferences regarding DMT, TSQM-9, SF36, and self-reported adherence as well as relapses and EDSS were recorded at baseline and every 3 to 6 months for up to 3 years.

Results

Efficacy and tolerability were the highest-ranking preferences at baseline. Actual selection of DMT corresponded more closely to safety than efficacy, tolerability, or convenience preferences. Participants reported excellent adherence throughout the study. DMT persistence was 69.0%, with earlier discontinuation for injectable vs oral or infusion therapies. Breakthrough disease, rather than patient-reported outcomes, was the main driver of DMT discontinuation. For all routes of administration, global treatment satisfaction increased over time despite lower satisfaction with convenience. Several patterns of changing preferences were observed.

Conclusion

This study provides insight into the interaction of DMT preferences of pwMS with their actual treatment experience. Treatment decisions should be aligned with long-term expectations of pwMS to promote continuous adherence.

Emerging imaging markers in radiologically isolated syndrome: implications for earlier treatment initiation

The presence of central nervous system lesions fulfilling the criteria of dissemination in space and time on MRI leads to the diagnosis of a radiologically isolated syndrome (RIS), which may be an early sign of multiple sclerosis (MS). However, some patients who do not fulfill the necessary criteria for RIS still evolve to MS, and some T2 hyperintensities that resemble demyelinating lesions may originate from mimics. In light of the recent recognition of the efficacy of disease-modifying therapy (DMT) in RIS, it is relevant to consider additional imaging features that are more specific of MS. We performed a narrative review on cortical lesions (CL), the central vein sign (CVS), and paramagnetic rim lesions (PRL) in patients with RIS. In previous RIS studies, the reported prevalence of CLs ranges between 20.0 and 40.0%, CVS + white matter lesions (WMLs) between 87.0 and 93.0% and PRLs between 26.7 and 63.0%. Overall, these imaging findings appear to be frequent in RIS cohorts, although not consistently taken into account in previous studies. The search for CLs, CVS + WML and PRLs in RIS patients could lead to earlier identification of patients who will evolve to MS and benefit from DMTs.

Building digital patient pathways for the management and treatment of multiple sclerosis

Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI opens new possibilities regarding the interpretation and use of big data from not only a cross-sectional, but also a longitudinal perspective. For each patient with MS, there is a vast amount of multimodal data being accumulated over time. But for the application of AI and related technologies, these data need to be available in a machine-readable format and need to be collected in a standardized and structured manner. Through the use of mobile electronic devices and the internet it has also become possible to provide healthcare services from remote and collect information on a patient's state of health outside of regular check-ups on site. Against this background, we argue that the concept of pathways in healthcare now could be applied to structure the collection of information across multiple devices and stakeholders in the virtual sphere, enabling us to exploit the full potential of AI technology by e.g., building digital twins. By going digital and using pathways, we can virtually link patients and their caregivers. Stakeholders then could rely on digital pathways for evidence-based guidance in the sequence of procedures and selection of therapy options based on advanced analytics supported by AI as well as for communication and education purposes. As far as we aware of, however, pathway modelling with respect to MS management and treatment has not been thoroughly investigated yet and still needs to be discussed. In this paper, we thus present our ideas for a modular-integrative framework for the development of digital patient pathways for MS treatment.

Health, Wellness, and the Effect of Comorbidities on the Multiple Sclerosis Disease Course: Tackling the Modifiable

Multiple sclerosis (MS) is a disease of the central nervous system characterized by inflammatory demyelination and neurodegeneration. Numerous disease-modifying therapies for MS exist but are only partially effective, making it essential to optimize all factors that may influence the course of the disease. This includes conscientious management of both mental and physical comorbidities, as well as a comprehensive strategy for promoting wellness in patients with MS. Thoughtful engagement of those living with MS through shared decision making and involvement of a multidisciplinary team that includes primary care, relevant specialists, psychology, and rehabilitation is likely to lead to better outcomes.

Multiple Sclerosis Diagnostic Delay and Misdiagnosis

Multiple sclerosis (MS) misdiagnosis in the form of an incorrect diagnosis of MS, as well as delayed diagnosis in patients who do have MS, both influence patient clinical outcomes. Contemporary studies have reported data on factors associated with these diagnostic challenges and their frequency. Expediting diagnosis in patients with MS and reducing MS misdiagnosis in patients who do not have MS may be aided by educational efforts surrounding early MS symptoms and proper application of MS diagnostic criteria. Emerging novel MS diagnostic biomarkers may aid early and accurate diagnosis of MS in the future.

MS care: integrating advanced therapies and holistic management

Lifestyle and environmental factors are key determinants in disease causality and progression in neurological conditions, including multiple sclerosis (MS). Lack of exercise, poor diet, tobacco smoking, excessive alcohol intake, social determinants of health, concomitant medications, poor sleep and comorbidities can exacerbate MS pathological processes by impacting brain health and depleting neurological reserves, resulting in more rapid disease worsening. In addition to using disease-modifying therapies to alter the disease course, therapeutic strategies in MS should aim to preserve as much neurological reserve as possible by promoting the adoption of a "brain-healthy" and "metabolically-healthy" lifestyle. Here, we recommend self-regulated lifestyle modifications that have the potential to improve brain health, directly impact on disease progression and improve outcomes in people with MS. We emphasise the importance of self-management and adopting a multidisciplinary, collaborative and person-centred approach to care that encompasses the healthcare team, family members and community support groups.

Awareness and Utilization of Public Physiotherapy Health Care Services to Support People With Multiple Sclerosis: A Health Care Service Audit

BACKGROUND

To maximize functioning and well-being in people with multiple sclerosis (MS), physiotherapy consultation is recommended at the point of diagnosis and throughout the disease course. We wanted to determine whether patients with MS being managed through a large metropolitan hospital in Australia accessed physiotherapy input as part of their MS management consistent with evidence-based recommendations and to identify patients' self-reported physiotherapy requirements, including symptom management, information needs, and service delivery preferences.

METHODS

Surveys were sent to 597 MS clinic patients, and 160 responded. Data were analyzed using descriptive methods to derive frequencies and percentages. The survey consisted of 16 questions plus 2 optional questions related to sociodemographics (age and postcode).

RESULTS

Of 160 respondents, 142 completed all 14 nonoptional questions. One-third of participants (n = 53) were aware of the hospital MS clinic physiotherapy services, with 21.3% (n = 34) saying that they had accessed these services. Conversely, 40.1% of respondents (n = 61) reported having consulted a private physiotherapist. Combined, 52% of respondents reported seeing a physiotherapist. There was a clear preference (94.7%; n = 144) for access to the MS clinic physiotherapy service. The presence of at least 1 current MS-related physiotherapy problem was reported by 82.2 2% of respondents (n = 125). The top ways to access MS-related information were via a specialist MS website (57.6%) and a mobile app (55.6%).

CONCLUSIONS

There is an unmet need for physiotherapy, and many participants may have foregone services due to unawareness. Improved awareness and uptake of physiotherapy at the point of diagnosis is needed to maximize functioning and well-being in people with MS.

Astrocyte Activation and Drug Target in Pathophysiology of Multiple Sclerosis

Multiple sclerosis (MS) is a neurodegenerative disease, which is also referred to as an autoimmune disorder with chronic inflammatory demyelination affecting the core system that is the central nervous system (CNS). Demyelination is a pathological manifestation of MS. It is the destruction of myelin sheath, which is wrapped around the axons, and it results in the loss of synaptic connections and conduction along the axon is also compromised. Various attempts are made to understand MS and demyelination using various experimental models out of them. The most popular model is experimental autoimmune encephalomyelitis (EAE), in which autoimmunity against CNS components is induced in experimental animals by immunization with self-antigens derived from basic myelin protein. Astrocytes serve as a dual-edged sword both in demyelination and remyelination. Various drug targets have also been discussed that can be further explored for the treatment of MS. An extensive literature research was done from various online scholarly and research articles available on PubMed, Google Scholar, and Elsevier. Keywords used for these articles were astrocyte, demyelination, astrogliosis, and reactive astrocytes. This includes articles being the most relevant information to the area compiled to compose a current review.

Multiple sclerosis versus cerebral small vessel disease in MRI: a practical approach using qualitative and quantitative signal intensity differences in white matter lesions

BACKGROUND

Multiple sclerosis (MS) and cerebral small vessel disease (CSVD) are relatively common radiological entities that occasionally necessitate differential diagnosis.

PURPOSE

To investigate the differences in magnetic resonance imaging (MRI) signal intensity (SI) between MS and CSVD related white matter lesions.

MATERIAL AND METHODS

On 1.5-T and 3-T MRI scanners, 50 patients with MS (380 lesions) and 50 patients with CSVD (395 lesions) were retrospectively evaluated. Visual inspection was used to conduct qualitative analysis on diffusion-weighted imaging (DWI)_b1000 to determine relative signal intensity. The thalamus served as the reference for quantitative analysis based on SI ratio (SIR). The statistical analysis utilized univariable and multivariable methods. There were analyses of patient and lesion datasets. On a dataset restricted by age (30-50 years), additional evaluations, including unsupervised fuzzy c-means clustering, were performed.

RESULTS

Using both quantitative and qualitative features, the optimal model achieved a 100% accuracy, sensitivity, and specificity with an area under the curve (AUC) of 1 in patient-wise analysis. With an AUC of 0.984, the best model achieved a 94% accuracy, sensitivity, and specificity when using only quantitative features. The model's accuracy, sensitivity, and specificity were 91.9%, 84.6%, and 95.8%, respectively, when using the age-restricted dataset. Independent predictors were T2_SIR_max (optimal cutoff=2.1) and DWI_b1000_SIR_mean (optimal cutoff=1.1). Clustering also performed well with an accuracy, sensitivity, and specificity of 86.5%, 70.6%, and 100%, respectively, in the age-restricted dataset.

CONCLUSION

SI characteristics derived from DWI_b1000 and T2-weighted-based MRI demonstrate excellent performance in differentiating white matter lesions caused by MS and CSVD.

How Early Is Early Multiple Sclerosis?

The development and further optimization of the diagnostic criteria for multiple sclerosis (MS) emphasize the establishment of an early and accurate diagnosis. So far, numerous studies have revealed the significance of early treatment administration for MS and its association with slower disease progression and better late outcomes of the disease with regards to disability accumulation. However, according to current research results, both neuroinflammatory and neurodegenerative processes may exist prior to symptom initiation. Despite the fact that a significant proportion of individuals with radiologically isolated syndrome (RIS) progress to MS, currently, there is no available treatment approved for RIS. Therefore, our idea of "early treatment administration" might be already late in some cases. In order to detect the individuals who will progress to MS, we need accurate biomarkers. In this review, we present notable research results regarding the underlying pathology of MS, as well as several potentially useful laboratory and neuroimaging biomarkers for the identification of high-risk individuals with RIS for developing MS. This review aims to raise clinicians' awareness regarding "subclinical" MS, enrich their understanding of MS pathology, and familiarize them with several potential biomarkers that are currently under investigation and might be used in clinical practice in the future for the identification of individuals with RIS at high risk for conversion to definite MS.

No Evidence of Disease Activity (NEDA) as a Clinical Assessment Tool for Multiple Sclerosis: Clinician and Patient Perspectives [Narrative Review]

The emergence of high-efficacy therapies for multiple sclerosis (MS), which target inflammation more effectively than traditional disease-modifying therapies, has led to a shift in MS management towards achieving the outcome assessment known as no evidence of disease activity (NEDA). The most common NEDA definition, termed NEDA-3, is a composite of three related measures of disease activity: no clinical relapses, no disability progression, and no radiological activity. NEDA has been frequently used as a composite endpoint in clinical trials, but there is growing interest in its use as an assessment tool to help patients and healthcare professionals navigate treatment decisions in the clinic. Raising awareness about NEDA may therefore help patients and clinicians make more informed decisions around MS management and improve overall MS care. This review aims to explore the potential utility of NEDA as a clinical decision-making tool and treatment target by summarizing the literature on its current use in the context of the expanding treatment landscape. We identify current challenges to the use of NEDA in clinical practice and detail the proposed amendments, such as the inclusion of alternative outcomes and biomarkers, to broaden the clinical information captured by NEDA. These themes are further illustrated with the real-life perspectives and experiences of our two patient authors with MS. This review is intended to be an educational resource to support discussions between clinicians and patients on this evolving approach to MS-specialized care.

Pediatric Onset Multiple Sclerosis and Obesity: Defining the Silhouette of Disease Features in Overweight Patients

Obesity has been suggested as an environmental risk factor for multiple sclerosis (MS) and may negatively effect the progression of the disease. The aim of this study is to determine any correlation between overweight/obesity and the clinical and neuroradiological features at the onset of pediatric onset multiple sclerosis (POMS). Were included patients referred to the POMS Unit of the Bambino Gesù Children's Hospital between June 2012 and June 2021. The diagnosis of MS with an onset of less than 18 years was required. For all included subjects, we considered for the analysis the following data at the onset of symptoms: general data (age, sex, functional system compromised by neurological signs, weight and height), brain and spinal magnetic resonance imaging (MRI), cerebrospinal fluid exams. We identified 55 pediatric cases of POMS and divided them into two groups according to the body mass index (BMI): 60% were healthy weight (HW) and 40% were overweight/obese (OW/O). OW/O patients experienced a two-year age difference in disease onset compared to the HW patients (12.7 ± 3.8 years vs. 14.6 ± 4.1 years; p < 0.05). Onset of polyfocal symptoms was seen more frequently in OW/O patients than in HW (72.7% vs. 21.2%; p < 0.05). The pyramidal functions were involved more frequently in the OW/O group than in the HW group (50% vs. 25%; p < 0.005). Black holes were detected more frequently in OW/O patients in onset MRI scans compared to the HW group (50% vs. 15.5%; p < 0.05). Our findings suggest that being overweight/obese affects the risk of developing MS at an earlier age and is associated with an unfavorable clinical-radiological features at onset. Weight control can be considered as a preventive/therapeutic treatment.

Predicting multiple sclerosis severity with multimodal deep neural networks

Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale, composed of several functional sub-scores. Early and accurate classification of MS disease severity is critical for slowing down or preventing disease progression via applying early therapeutic intervention strategies. Recent advances in deep learning and the wide use of Electronic Health Records (EHR) create opportunities to apply data-driven and predictive modeling tools for this goal. Previous studies focusing on using single-modal machine learning and deep learning algorithms were limited in terms of prediction accuracy due to data insufficiency or model simplicity. In this paper, we proposed the idea of using patients' multimodal longitudinal and longitudinal EHR data to predict multiple sclerosis disease severity in the future. Our contribution has two main facets. First, we describe a pioneering effort to integrate structured EHR data, neuroimaging data and clinical notes to build a multi-modal deep learning framework to predict patient's MS severity. The proposed pipeline demonstrates up to 19% increase in terms of the area under the Area Under the Receiver Operating Characteristic curve (AUROC) compared to models using single-modal data. Second, the study also provides valuable insights regarding the amount useful signal embedded in each data modality with respect to MS disease prediction, which may improve data collection processes.

Excess costs of multiple sclerosis: a register-based study in Sweden

BACKGROUND AND OBJECTIVE

Population-based estimates of the socioeconomic burden of multiple sclerosis (MS) are limited, especially regarding primary healthcare. This study aimed to estimate the excess costs of people with MS that could be attributed to their MS, including primary healthcare.

METHODS

An observational study was conducted of the 2806 working-aged people with MS in Stockholm, Sweden and 28,060 propensity score matched references without MS. Register-based resource use was quantified for 2018. Annual healthcare costs (primary, specialised outpatient, and inpatient healthcare visits along with prescribed drugs) and productivity losses (operationalised by sickness absence and disability pension days) were quantified using bottom-up costing. The costs of people with MS were compared with those of the references using independent t-tests with bootstrapped 95% confidence intervals (CIs) to isolate the excess costs of MS from the mean difference.

RESULTS

The mean annual excess costs of MS for healthcare were €7381 (95% CI 6991-7816) per person with MS with disease-modifying therapies as the largest component (€4262, 95% CI 4026-4497). There was a mean annual excess cost for primary healthcare of €695 (95% CI 585-832) per person with MS, comprising 9.4% of the excess healthcare costs of MS. The mean annual excess costs of MS for productivity losses were €13,173 (95% CI 12,325-14,019) per person with MS, predominately from disability pension (79.3%).

CONCLUSIONS

The socioeconomic burden of MS in Sweden from healthcare consumption and productivity losses was quantified, updating knowledge on the cost structure of the substantial excess costs of MS.

A Preliminary Study on the Meaning of Inflammatory Indexes in MS: A Neda-Based Approach

BACKGROUND

Multiple sclerosis (MS) is a disease of the central nervous system characterized by inflammation, demyelination, and axonal degeneration. This study aimed to investigate the relationship between inflammatory indexes and MS disease activity and progression.

METHODS

A prospective cohort study was conducted at the Kocaeli University Neurology Clinic, involving 108 patients diagnosed with MS. Data related to patient demographics, clinical presentations, radiological findings, and laboratory results were recorded. Inflammatory markers such as NLR (neutrophil-to-lymphocyte ratio), PLR (platelet-to-lymphocyte ratio), MLR (monocyte-to-lymphocyte ratio), and indexes such as SII (systemic immune inflammation index), SIRI (systemic immune response index), and AISI (systemic total aggregation index) were examined to determine their correlation with MS disease activity and disability. When assessing the influence of SII, AISI, and SIRI in predicting NEDA, it was found that all three indexes significantly predict NEDA. All indexes demonstrated a significant relationship with the EDSS score. Notably, SII, SIRI, and AISI were significant predictors of NEDA, and all inflammatory indexes showed a strong intercorrelation. This study investigates the role of inflammation markers in MS patients. It suggests that one or more of these non-invasive, straightforward, and practical markers could complement clinical and radiological parameters in monitoring MS.

Motor imagery has a priming effect on motor execution in people with multiple sclerosis

Priming is a learning process that refers to behavioral changes caused by previous exposure to a similar stimulus. Motor imagery (MI), which involves the mental rehearsal of action representations in working memory without engaging in actual execution, could be a strategy for priming the motor system. This study investigates whether MI primes action execution in Multiple Sclerosis (MS). Here, 17 people with MS (PwMS) and 19 healthy subjects (HS), all right-handed and good imaginers, performed as accurately and quickly as possible, with a pencil, actual or mental pointing movements between targets of small (1.0 × 1.0 cm) or large (1.5 × 1.5 cm) size. In actual trials, they completed five pointing cycles between the left and right targets, whereas in mental trials, the first 4 cycles were imagined while the fifth was actually executed. The fifth cycle was introduced to assess the MI priming effect on actual execution. All conditions, presented randomly, were performed with both dominant (i.e., right) and non-dominant arms. Analysis of the duration of the first 4 cycles in both actual and mental trials confirmed previous findings, showing isochrony in HS with both arms and significantly faster mental than actual movements (anisochrony) in PwMS (p < 0.01) [time (s); HS right: actual: 4.23 ± 0.15, mental: 4.36 ± 0.16; left: actual: 4.32 ± 0.15, mental: 4.43 ± 0.18; PwMS right: actual: 5.85 ± 0.16, mental: 5.99 ± 0.21; left: actual: 6.68 ± 0.20, mental: 5.94 ± 0.23]; anisochrony in PwMS was present when the task was performed with the non-dominant arm. Of note, temporal analysis of the fifth actual cycle showed no differences between actual and mental trials for HS with both arms, whereas in PwMS the fifth actual cycle was significantly faster after the four actual cycles for the non-dominant arm (p < 0.05) [time (s); HS right: actual: 1.03 ± 0.04, mental: 1.03 ± 0.03; left: actual: 1.08 ± 0.04, mental: 1.05 ± 0.03; PwMS right: actual: 1.48 ± 0.04, mental: 1.48 ± 0.06; left: actual: 1.66 ± 0.05, mental: 1.48 ± 0.06]. These results seem to suggest that a few mental repetitions of an action might be sufficient to exert a priming effect on the actual execution of the same action in PwMS. This would indicate further investigation of the potential use of MI as a new motor-cognitive tool for MS neurorehabilitation.

Assessing treatment switch among patients with multiple sclerosis: A machine learning approach

BACKGROUND

Patients with multiple sclerosis (MS) frequently switch their Disease-Modifying Agents (DMA) for effectiveness and safety concerns. This study aimed to develop and compare the random forest (RF) machine learning (ML) model with the logistic regression (LR) model for predicting DMA switching among MS patients.

METHODS

This retrospective longitudinal study used the TriNetX data from a federated electronic medical records (EMR) network. Between September 2010 and May 2017, adults (aged ≥18) MS patients with ≥1 DMA prescription were identified, and the earliest DMA date was assigned as the index date. Patients prescribed any DMAs different from their index DMAs were considered as treatment switch. . The RF and LR models were built with 72 baseline characteristics and trained with 70% of the randomly split data after up-sampling. Area Under the Curves (AUC), accuracy, recall, G-measure, and F-1 score were used to evaluate the model performance.

RESULTS

In this study, 7258 MS patients with ≥1 DMA were identified. Within two years, 16% of MS patients switched to a different DMA. The RF model obtained significantly better discrimination than the LR model (AUC = 0.65 vs. 0.63, p < 0.0001); however, the RF model had a similar predictive performance to the LR model with respect to F- and G-measures (RF: 72% and 73% vs. LR: 72% and 73%, respectively). The most influential features identified from the RF model were age, type of index medication, and year of index.

CONCLUSIONS

Compared to the LR model, RF performed better in predicting DMA switch in MS patients based on AUC measures; however, judged by F- and G-measures, the RF model performed similarly to LR. Further research is needed to understand the role of ML techniques in predicting treatment outcomes for the decision-making process to achieve optimal treatment goals.

Impact of adherence to disease modifying therapies on long-term clinical and economic outcomes in multiple sclerosis: A claims analysis of real-world data

BACKGROUND

Multiple sclerosis (MS) is a chronic neurodegenerative inflammatory disease that requires long-term commitment to treatment for optimal outcomes. A variety of disease-modifying therapies (DMTs) are now available that reduce relapses and delay disease progression in people with MS. However, adherence remains a significant issue, with a variety of mental, physical, and emotional factors contributing to non-adherence. In a large number of studies, non-adherence has been associated with worse clinical outcomes (relapses and disease severity), a higher economic burden, and loss of work productivity. However, many of these studies were short-term (1-2 years) or cross-sectional studies; thus, more data are needed on the long-term clinical and economic impacts of DMT non-adherence. The objective of this study was to determine the longer-term impact of adherence to DMTs on disease activity and healthcare resource utilization (HCRU) in people with MS. The study hypothesis was that non-adherence to DMTs would be associated long-term with worse clinical outcomes and a higher economic burden.

METHODS

A retrospective administrative claims analysis of the US MarketScan® Commercial database (2011-2017) in individuals (18-65 years) with MS (based on International Classification of Disease coding) was conducted. Adherence was classified by proportion of days covered (PDC) ≥0.8 and non-adherence by PDC <0.8; sensitivity analyses helped further categorize as moderately (PDC ≥0.6-<0.8) or highly (PDC <0.6) non-adherent. Cohorts were matched using propensity score matching. Time to first relapse, annualized relapse rate (ARR), time to use of assistive devices (cane/walker or wheelchair), and annual HCRU (inpatient, emergency room [ER], outpatient, and MRI visits and costs) were compared between cohorts.

RESULTS

10,248 MS cases were identified; 58% met adherence criteria, and 42% met non-adherence criteria. Mean follow-up from diagnosis or first DMT claim was 5.3 years. Adherent individuals had a longer time to first relapse (hazard ratio [HR] 0.83; 95% confidence interval [CI]: 0.77-0.90; p<0.0001), a lower ARR (0.13 vs. 0.18, respectively; rate ratio [RR] 0.75 [95% CI: 0.71-0.79]; p<0.0001), and longer lag times to cane/walker use (HR 0.79 [95% CI: 0.66-0.94]; p=0.0067) and wheelchair use (HR 0.68 [95% CI: 0.55-0.83]; p=0.0002) than non-adherent individuals. Adherent individuals had fewer annual inpatient and ER visits and lower total costs than those who were non-adherent (p<0.0001). Sensitivity analyses showed that differences in disease activity and HCRU were generally more pronounced between matched adherent and highly non-adherent pairs than between matched adherent and moderately non-adherent pairs.

CONCLUSION

Significant differences in MS disease activity and HCRU were observed based on adherence to DMTs. Our study underscores the negative impact of non-adherence to DMTs on long-term clinical and economic outcomes in MS.

Global Barriers to the Diagnosis of Multiple Sclerosis: Data From the Multiple Sclerosis International Federation Atlas of MS, Third Edition

BACKGROUND AND OBJECTIVES

Recent data suggest increasing global prevalence of multiple sclerosis (MS). Early diagnosis of MS reduces the burden of disability-adjusted life years and associated health care costs. Yet diagnostic delays persist in MS care and even within national health care systems with robust resources, comprehensive registries, and MS subspecialist referral networks. The global prevalence and characteristics of barriers to expedited MS diagnosis, particularly in resource-restricted regions, have not been extensively studied. Recent revisions to MS diagnostic criteria demonstrate potential to facilitate earlier diagnosis, but global implementation remains largely unknown.

METHODS

The Multiple Sclerosis International Federation third edition of the Atlas of MS was a survey that assessed the current global state of diagnosis including adoption of MS diagnostic criteria; barriers to diagnosis with respect to the patient, health care provider, and health system; and existence of national guidelines or national standards for speed of MS diagnosis.

RESULTS

Coordinators from 107 countries (representing approximately 82% of the world population), participated. Eighty-three percent reported at least 1 "major barrier" to early MS diagnosis. The most frequently reported barriers included the following: "lack of awareness of MS symptoms among general public" (68%), "lack of awareness of MS symptoms among health care professionals" (59%), and "lack of availability of health care professionals with knowledge to diagnose MS" (44%). One-third reported lack of "specialist medical equipment or diagnostic tests." Thirty-four percent reported the use of only 2017 McDonald criteria (McD-C) for diagnosis, and 79% reported 2017 McD-C as the "most commonly used criteria." Sixty-six percent reported at least 1 barrier to the adoption of 2017 McD-C, including "neurologists lack awareness or training" by 45%. There was no significant association between national guidelines pertaining to MS diagnosis or practice standards addressing the speed of diagnosis and presence of barriers to early MS diagnosis and implementation of 2017 McD-C.

DISCUSSION

This study finds pervasive consistent global barriers to early diagnosis of MS. While these barriers reflected a lack of resources in many countries, data also suggest that interventions designed to develop and implement accessible education and training can provide cost-effective opportunities to improve access to early MS diagnosis.

Building a monitoring matrix for the management of multiple sclerosis

Multiple sclerosis (MS) has a longitudinal and heterogeneous course, with an increasing number of therapy options and associated risk profiles, leading to a constant increase in the number of parameters to be monitored. Even though important clinical and subclinical data are being generated, treating neurologists may not always be able to use them adequately for MS management. In contrast to the monitoring of other diseases in different medical fields, no target-based approach for a standardized monitoring in MS has been established yet. Therefore, there is an urgent need for a standardized and structured monitoring as part of MS management that is adaptive, individualized, agile, and multimodal-integrative. We discuss the development of an MS monitoring matrix which can help facilitate data collection over time from different dimensions and perspectives to optimize the treatment of people with MS (pwMS). In doing so, we show how different measurement tools can combined to enhance MS treatment. We propose to apply the concept of patient pathways to disease and intervention monitoring, not losing track of their interrelation. We also discuss the use of artificial intelligence (AI) to improve the quality of processes, outcomes, and patient safety, as well as personalized and patient-centered care. Patient pathways allow us to track the patient's journey over time and can always change (e.g., when there is a switch in therapy). They therefore may assist us in the continuous improvement of monitoring in an iterative process. Improving the monitoring process means improving the care of pwMS.

Muscle Coactivation Index during Walking in People with Multiple Sclerosis with Mild Disability, a Cross-Sectional Study

BACKGROUND

Multiple sclerosis (MS) is a progressive neurodegenerative disease characterized by axonal degeneration and demyelination. Changes in gait, related to joint kinematics and kinetics, especially at the ankle and knee, have been observed in people with MS (pwMS). Muscle coactivation plays an important role in joint stabilization; however, excessive coactivation may interfere with gait. The aim of this study was to analyze the differences in muscle activation during gait in pwMS compared to healthy individuals.

METHODS

A cross-sectional study was conducted involving pwMS and healthy controls. Surface electromyography was used to record muscle activity during gait. The main outcome measures were the coactivation index (CI) and the area under the curve (AUC), which were calculated for several pairs of lower extremity muscles.

RESULTS

Nine pwMS and nine healthy controls were included. When comparing the MS group to the control group, the AUC was significantly higher in the lateral gastrocnemius (p = 0.023) and the CI for the lateral gastrocnemius-anterior tibialis (p = 0.022) and gluteus maximus-lateral gastrocnemius (p = 0.047).

CONCLUSION

Mildly affected pwMS have altered muscle coactivation patterns during gait, especially in the most affected limb. The results highlight the importance of muscle coactivation in pwMS and its possible role in the early detection of gait abnormalities.

Clinical Practice Guidelines for the Detection and Treatment of Depression in Multiple Sclerosis: A Systematic Review

Purpose of Review

The association of multiple sclerosis (MS) with depression has been well documented; however, it frequently remains undiagnosed, untreated, or undertreated, with consequences to the person, family, and economy. The aim of this study was to determine the quality, scope, and consistency of available guidelines and consensus statements to guide clinicians managing people with comorbid MS and depression.

Recent Findings

Based on our systematic search of the literature, 6 guidelines and consensus statements met the inclusion criteria. Of these, 4 presented recommendations on depression screening in MS and 5 offered recommendations for treatment. Despite most guidelines presenting evidence-based recommendations, they were generally of low-quality evidence overall. Inconsistencies identified across guidelines and consensus statements included variations in recommendation for routine screening and which screening tool to use. Most guidelines lacked detail, often referring to general population guidelines without describing to what extent they can be applied to people with MS.

Summary

The findings of this review highlight the need to develop high-quality, comprehensive clinical practice guidelines with clear recommendations that can be globally implemented by healthcare clinicians working with people with MS.

Physical Activity in Multiple Sclerosis: Meeting the Guidelines at the Time of the COVID-19 Pandemic

BACKGROUND AND PURPOSE

Regular physical activity (PA) helps to reduce the severity of physical and mental symptoms and improves quality of life in people with multiple sclerosis (PwMS). Based on current evidence and expert opinion, the recent multiple sclerosis guidelines recommend at least 150 minutes/week of PA. This study presents the results of a survey analyzing whether and how PwMS met the guidelines before and during the pandemic.

METHODS

We developed and disseminated an international online survey between December 2020 and July 2021, investigating changes in self-reported PA type, duration, frequency, and intensity due to the COVID-19 outbreak in PwMS with differing disability levels.

RESULTS

Among respondents (n = 3810), 3725 were eligible. The proportion of those who conducted at least one activity decreased with increasing disability level at both time points (pre and during). Overall 60% of respondents met the guidelines before the pandemic (mild: 64.43%; moderate: 51.53%; severe: 39.34%; χ 2(2) = 109.13, P < 0.01); a reduction of approximately 10% occurred during the pandemic in all disability groups (mild: 54.76%; moderate: 42.47%; severe: 29.48%; χ 2(2) = 109.67, P < 0.01). Respondents with higher disability participated more in physical therapy and less in walking, cycling, and running at both time points. Most respondents reported practicing PA at a moderate intensity at both time points; frequency and duration of sessions decreased as disability level increased.

DISCUSSION AND CONCLUSIONS

The percentage of those meeting the guidelines reduced with increasing disability level and during the pandemic. PA type and intensity varied widely across the disability categories. Interventions accounting for disability level are required to enable more PwMS to reap the benefits of PA.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A415 ).

Variability of the response to immunotherapy among subgroups of patients with multiple sclerosis

BACKGROUND AND PURPOSE

This study assessed the effect of patient characteristics on the response to disease-modifying therapy (DMT) in multiple sclerosis (MS).

METHODS

We extracted data from 61,810 patients from 135 centers across 35 countries from the MSBase registry. The selection criteria were: clinically isolated syndrome or definite MS, follow-up ≥ 1 year, and Expanded Disability Status Scale (EDSS) score ≥ 3, with ≥1 score recorded per year. Marginal structural models with interaction terms were used to compare the hazards of 12-month confirmed worsening and improvement of disability, and the incidence of relapses between treated and untreated patients stratified by their characteristics.

RESULTS

Among 24,344 patients with relapsing MS, those on DMTs experienced 48% reduction in relapse incidence (hazard ratio [HR] = 0.52, 95% confidence interval [CI] = 0.45-0.60), 46% lower risk of disability worsening (HR = 0.54, 95% CI = 0.41-0.71), and 32% greater chance of disability improvement (HR = 1.32, 95% CI = 1.09-1.59). The effect of DMTs on EDSS worsening and improvement and the risk of relapses was attenuated with more severe disability. The magnitude of the effect of DMT on suppressing relapses declined with higher prior relapse rate and prior cerebral magnetic resonance imaging activity. We did not find any evidence for the effect of age on the effectiveness of DMT. After inclusion of 1985 participants with progressive MS, the effect of DMT on disability mostly depended on MS phenotype, whereas its effect on relapses was driven mainly by prior relapse activity.

CONCLUSIONS

DMT is generally most effective among patients with lower disability and in relapsing MS phenotypes. There is no evidence of attenuation of the effect of DMT with age.

Association between early treatment of multiple sclerosis and patient-reported outcomes: a nationwide observational cohort study

BACKGROUND

Timing of disease-modifying therapy affects clinical disability in multiple sclerosis, but it is not known whether patient reported outcomes are also affected. This study investigates the relationship between treatment timing and patient-reported symptoms and health-related quality of life.

METHODS

This was a nationwide observational cohort study of adults with relapsing multiple sclerosis, with disease onset between 2001 and 2016, and commenced on disease-modifying treatment within 4 years from disease onset. Patients commencing treatment within 0-2 years were compared with patients commencing treatment at 2-4 years. Indication bias was mitigated by propensity matching. Outcomes were patient-reported symptoms and health-related quality of life as measured by the Multiple Sclerosis Impact Scale (MSIS-29) and EuroQol-5 Dimensions-3 Level (EQ-5D). The follow-up period was 4-10 years from disease onset.

RESULTS

There were 2648 patients (69% female, median age 32.8) eligible for matching. Mean follow-up time was 3.7 years. Based on 780 matched patients, each year of treatment delay was associated with a worse MSIS physical score by 2.75 points (95% CI 1.29 to 4.20), and worse MSIS psychological score by 2.02 points (95% CI 0.03 to 3.78), in the adjusted models.Among 690 matched patients, earlier treatment start was not associated with EQ-5D score during the follow-up.

CONCLUSIONS

Earlier commencement of disease-modifying treatment was associated with better patient-reported physical symptoms when measured using a disease-specific metric; however, general quality of life was not affected. This indicates that other factors may inform patients' overall quality of life.

Cost Per Relapse Avoided for Ozanimod Versus Other Selected Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis in the United States

INTRODUCTION

This study assessed the cost-effectiveness of ozanimod compared with commonly used disease-modifying therapies (DMTs) for relapsing-remitting multiple sclerosis (RRMS).

METHODS

Annualized relapse rate (ARR) and safety data were obtained from a network meta-analysis (NMA) of clinical trials of RRMS treatments including ozanimod, fingolimod, dimethyl fumarate, teriflunomide, interferon beta-1a, interferon beta-1b, and glatiramer acetate. ARR-related number needed to treat (NNT) relative to placebo and annual total MS-related healthcare costs was used to estimate the incremental annual cost per relapse avoided with ozanimod vs each DMT. ARR and adverse event (AE) data were combined with drug costs and healthcare costs to manage relapses and AEs in order to estimate annual cost savings with ozanimod vs other DMTs, assuming a 1 million USD fixed treatment budget.

RESULTS

Treatment with ozanimod was associated with lower incremental annual healthcare costs to avoid a relapse, ranging from $843,684 vs interferon beta-1a (30 μg; 95% confidence interval [CI] - $1,431,619, - $255,749) to $72,847 (95% CI - $153,444, $7750) vs fingolimod. Compared with all other DMTs, ozanimod was associated with overall healthcare cost savings ranging from $8257 vs interferon beta-1a (30 μg) to $2178 vs fingolimod. Compared with oral DMTs, ozanimod was associated with annual cost savings of $6199 with teriflunomide 7 mg, $4737 with teriflunomide 14 mg, $2178 with fingolimod, and $2793 with dimethyl fumarate.

CONCLUSION

Treatment with ozanimod was associated with substantial reductions in annual drug costs and total MS-related healthcare costs to avoid relapses compared with other DMTs. In the fixed-budget analysis, ozanimod demonstrated a favorable cost-effective profile relative to other DMTs.

Changes in Retinal Thickness and Brain Volume during 6.8-Year Escalating Therapy for Multiple Sclerosis

Background. Different disease-modifying therapies (DMT) for multiple sclerosis (MS) have disparate effects on disability outcomes. Sweden has a leading position globally in initiating high-efficacy DMT instead of escalating DMT from 1st-line to high-efficacy DMT. With optical coherence tomography (OCT), retinal changes can be measured at a few micrometer level. OCT has been increasingly applied in diagnosing MS and monitoring disease course and therapeutic effect. Objective. We investigate the effects of 1st-line versus high-efficacy DMT for MS on retinal and brain atrophy and on functional outcomes during 6.8 years of escalating DMT. Materials and Methods. In this prospective longitudinal observational study, 18 MS patients were followed up for 6.8 years. Twelve of the patients were untreated at baseline. All patients underwent 1st-line DMT for median duration of 2.4 years and then switched to high-efficacy DMT for a median duration of 2.9 years. Findings from neurological examinations, MRI, and OCT measures were registered 2-4 times per year. Results. Ganglion cell-inner plexiform layer (GCIPL) thickness was significantly reduced during 1st-line DMT (73.75 μm, $p<0.01$ ) compared to baseline (76.38 μm). During high-efficacy DMT, thickness reduction was slower (73.27 μm, $p<0.05$ ), and MRI contrast-loading lesions vanished ( $p<0.01$ ). However, brain parenchymal fraction (BPF) decreased during high-efficacy DMT compared to 1st-line DMT. Estimated models showed similar results. Conclusion. GCIPL decline was most profound during 1st-line DMT and diminished during high-efficacy DMT. MRI contrast lesions vanished during high-efficacy DMT. However, brain atrophy continued regardless of high-efficacy DMT.

Analytical validation of a multi-protein, serum-based assay for disease activity assessments in multiple sclerosis

PURPOSE

To characterize and analytically validate the MSDA Test, a multi-protein, serum-based biomarker assay developed using Olink^® PEA methodology.

EXPERIMENTAL DESIGN

Two lots of the MSDA Test panel were manufactured and subjected to a comprehensive analytical characterization and validation protocol to detect biomarkers present in the serum of patients with multiple sclerosis (MS). Biomarker concentrations were incorporated into a final algorithm used for calculating four Disease Pathway scores (Immunomodulation, Neuroinflammation, Myelin Biology, and Neuroaxonal Integrity) and an overall Disease Activity score.

RESULTS

Analytical characterization demonstrated that the multi-protein panel satisfied the criteria necessary for a fit-for-purpose validation considering the assay's intended clinical use. This panel met acceptability criteria for 18 biomarkers included in the final algorithm out of 21 biomarkers evaluated. VCAN was omitted based on factors outside of analytical validation; COL4A1 and GH were excluded based on imprecision and diurnal variability, respectively. Performance of the four Disease Pathway and overall Disease Activity scores met the established acceptability criteria.

CONCLUSIONS AND CLINICAL RELEVANCE

Analytical validation of this multi-protein, serum-based assay is the first step in establishing its potential utility as a quantitative, minimally invasive, and scalable biomarker panel to enhance the standard of care for patients with MS.

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.

Comparative efficacy and safety of ozanimod and ponesimod for relapsing multiple sclerosis: A matching-adjusted indirect comparison

BACKGROUND

Ozanimod and ponesimod are sphingosine 1-phosphate receptor modulators approved by the U.S. Food and Drug Administration for treatment of relapsing forms of multiple sclerosis (MS). Given that no head-to-head trials have assessed these two treatments, we performed a matching-adjusted indirect comparison (MAIC) to compare efficacy and safety outcomes between ozanimod and ponesimod for MS.

METHODS

A MAIC compared efficacy and safety of ozanimod and ponesimod at 2 years. Outcomes included annualized relapse rate (ARR) and percentage change from baseline in brain volume loss (BVL) as well as rates of any treatment-emergent adverse events (TEAEs), serious adverse events (AEs), AEs leading to discontinuation, and other safety outcomes. Individual patient-level data were obtained for ozanimod from the RADIANCE-B trial, while aggregate-level patient data were obtained for ponesimod from the OPTIMUM trial. The MAIC was not anchored owing to lack of a common comparator across the two trials. The following characteristics were matched between the trials' populations: age, sex, time since MS symptom onset, relapses in prior year, Expanded Disability Status Scale score, disease-modifying therapies received in the prior 2 years, absence of gadolinium-enhancing T1 lesions, and percentage of patients from Eastern Europe.

RESULTS

After matching, key baseline characteristics were balanced between patients receiving ozanimod and ponesimod. Compared with ponesimod, ozanimod had a numerically lower ARR (rate ratio: 0.80 [95% CI: 0.57, 1.10]) and was associated with a significant reduction in BVL (% change difference: 0.20 [95% CI: 0.05, 0.36]). Additionally, ozanimod was associated with a significantly lower risk of TEAEs (risk difference: -11.9% [95% CI: -16.8%, -7.0%]), AEs leading to discontinuation (-6.1% [95% CI: -8.9%, -3.4%]), and lymphocyte count <0.2 K/μL (-2.3% [95% CI: -4.2%, -0.5%]). There were no statistically significant differences in the other safety outcomes.

CONCLUSION

The MAIC results suggest that, compared with ponesimod, ozanimod is more effective in preserving brain volume, is comparable in terms of reducing relapse rates, and has a favorable safety profile.

Medication adherence to disease-modifying therapies among a cohort of Jordanian patients with relapsing-remitting multiple sclerosis: a multicentre cross-sectional study

OBJECTIVES

To evaluate medication adherence to oral and parenteral disease-modifying therapies (DMTs) and to explore factors associated with medication non-adherence in patients with multiple sclerosis (MS).

METHODS

A cross-sectional multicentre study was conducted among patients with MS. Patients who attended outpatient clinics of neurology departments from three major referral centres were invited to participate in the study. Medication adherence was measured using the Multiple Sclerosis Treatment Adherence Questionnaire.

KEY FINDINGS

A total of 319 patients with MS on DMT were included in the final analyses, their average age was 35 years and more than two-thirds (72.1%) of them were women. The adherent group comprised 46.7% of patients. The results of association analyses showed that factors that were associated with adherence level were female gender (P = 0.034), non-smoking/x-smoking (P = 0.007), school education (P = 0.019), unemployment (P = 0.006), history of previous DMT (P = 0.020), longer previous treatment duration (P = 0.008), and type of current DMT (P = 0.020). Among the non-adherent patients, there were significant differences between oral and parenteral DMT users in the importance of barriers to adherence (P < 0.001). Additionally, the degree of treatment satisfaction was higher in oral users than in parenteral users (P < 0.001).

CONCLUSIONS

The adherence level was quite low. Gender, smoking status, education, employment status, history of previous DMT, previous treatment duration and type of current DMT were associated with medication non-adherence in our patients with MS. These factors should be considered when evaluating medication adherence, and the modifiable factors may represent potential targets for interventions to improve pharmaceutical care planning in patients with MS.

Switching to natalizumab or fingolimod in multiple sclerosis: Comparative effectiveness and effect of pre-switch disease activity

BACKGROUND

Patients with relapsing-remitting multiple sclerosis (RRMS) who experience relapses on a first-line therapy (interferon, glatiramer acetate, dimethyl fumarate, or teriflunomide; collectively, "BRACETD") often switch to another therapy, including natalizumab or fingolimod. Here we compare the effectiveness of switching from a first-line therapy to natalizumab or fingolimod after ≥1 relapse.

METHODS

Data collected prospectively in the MSBase Registry, a global, longitudinal, observational registry, were extracted on February 6, 2018. Included patients were adults with RRMS with ≥1 relapse on BRACETD therapy in the year before switching to natalizumab or fingolimod. Included patients received natalizumab or fingolimod for ≥3 months after the switch.

RESULTS

Following 1:1 propensity score matching, 1000 natalizumab patients were matched to 1000 fingolimod patients. Mean (standard deviation) follow-up time was 3.02 (2.06) years after switching to natalizumab and 2.58 (1.64) years after switching to fingolimod. Natalizumab recipients had significantly lower annualized relapse rate (relative risk=0.66; 95% confidence interval [CI], 0.59-0.74), lower risk of first relapse (hazard ratio [HR]=0.69; 95% CI, 0.60-0.80), and higher confirmed disability improvement (HR=1.27; 95% CI, 1.03-1.57) than fingolimod recipients. No difference in confirmed disability worsening was observed.

CONCLUSIONS

Patients with RRMS switching from BRACETD demonstrated better outcomes with natalizumab than with fingolimod.

ATP line splitting in association with reduced intracellular magnesium and pH: a brain 31 P MR spectroscopic imaging (MRSI) study of pediatric patients with myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGADs)

Over the past four decades, ATP, the obligatory energy molecule for keeping all cells alive and functioning, has been thought to contribute only one set of signals in brain ³¹ P MR spectra. Here we report for the first time the observation of two separate β-ATP peaks in brain spectra acquired from patients with myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGADs) using 3D MRSI at 7 T. In voxel spectra with β-ATP line splitting, these two peaks are separated by 0.46 ± 0.18 ppm (n = 6). Spectral lineshape analysis indicates that the upper field β-ATP peak is smaller in relative intensity (24 ± 11% versus 76 ± 11%), and narrower in linewidth (56.8 ± 10.3 versus 41.2 ± 10.3 Hz) than the downfield one. Data analysis also reveals a similar line splitting for the intracellular inorganic phosphate (P_i ) signal, which is characterized by two components with a smaller separation (0.16 ± 0.09 ppm) and an intensity ratio (26 ± 7%:74 ± 7%) comparable to that of β-ATP. While the major components of P_i and β-ATP correspond to a neutral intracellular pH (6.99 ± 0.01) and a free Mg²⁺ level (0.18 ± 0.02 mM, by Iotti's conversion formula) as found in healthy subjects, their minor counterparts relate to a slightly acidic pH (6.86 ± 0.07) and a 50% lower [Mg²⁺ ] (0.09 ± 0.02 mM), respectively. Data correlation between β-ATP and P_i signals appears to suggest an association between an increased [H⁺ ] and a reduced [Mg²⁺ ] in MOGAD patients.

[The use of monoclonal antibodies in the treatment of patients with high-active multiple sclerosis in real clinical practice]

OBJECTIVE

To study the efficacy of ocrelizumab (OCR) and natalizumab (NAT) using indicators of activity and progression in patients with highly active multiple sclerosis (HAMS) during the first year of therapy in real clinical practice.

MATERIAL AND METHODS

The study included 110 patients with HAMS and 13 patients with rapidly progressive MS (RPMS), aged 19 to 60 years, who received monoclonal antibody (MAT) therapy for 12 months. Group 1 consisted of 77 patients receiving NAT therapy, group 2 of 46 patients receiving OCR therapy. To assess the efficacy of therapy, we used indicators of the average frequency of exacerbations per year, EDSS estimates, and MRI data.

RESULTS

EDSS score at the time of initiation of MAT therapy was 2.4±1.0 in group 1 and 2.8±1.2 in group 2 (p=0.047); 12 months after the start of MAT therapy, EDSS score in group 1 decreased slightly (p=0.001), in group 2 it has not changed. The frequency of exacerbations per year after the start of MAT therapy was 0.04±0.2 in group 1 and 0.07±0.2 in group 2 (p<0.0001 in both groups). The number of foci accumulating gadolinium detected during the year was 3 in group 1, one in group 2 (p=0.629 between groups). Subgroups of patients who received line 1 DMT (n=22) or NAT (n=21) before the start of OCR therapy were considered separately. In both subgroups, a stable assessment of EDSS was noted, the average annual number of exacerbations did not differ (p=0.117). In patients with RPMS after a year of MAT therapy, EDSS scores were stable, the average annual frequency of exacerbations was 0.08±0.3 per year.

CONCLUSION

The administration of MAT therapy led to a statistically significant decrease in the number of exacerbations and stabilization of neurological deficits during the first year of follow-up. After 12 months of therapy, both groups experienced a dramatic decrease in the average annual number of exacerbations, no increase in disability, and positive dynamics according to MRI results. A similar level of OCR efficacy was found in patients who switched from DMT 1 line therapy and NAT.

Cognitive rehabilitation in multiple sclerosis: Three digital ingredients to address current and future priorities

Multiple sclerosis (MS) is a neurological chronic disease with autoimmune demyelinating lesions and one of the most common disability causes in young adults. People with MS (PwMS) experience cognitive impairments (CIs) and clinical evidence shows their presence during all MS stages even in the absence of other symptoms. Cognitive rehabilitation (CR) aims at reducing CI and improving PwMS' awareness of cognitive difficulties faced in their daily living. More defined cognitive profiles, easier treatment access and the need to transfer intervention effects into everyday life activities are aims of utmost relevance for CR in MS. Currently, advanced technologies may pave the way to rethink CR in MS to address the priority of more personalized and effective, accessible and ecological interventions. For this purpose, digital twins, tele-cognitive-rehabilitation and metaverse are the main candidate digital ingredients. Based on scientific evidences, we propose digital twin technology to enhance MS cognitive phenotyping; tele-cognitive-rehabilitation to make feasible the cognitive intervention access to a larger number of PwMS; and metaverse to represent the best choice to train real-world dual- and multi-tasking deficits in virtual daily life environments. Moreover, multi-domain high-frequency big-data collected through tele-cognitive-assessment, tele-cognitive-rehabilitation, and metaverse may be merged to refine artificial intelligence algorithms and obtain increasingly detailed patient's cognitive profile in order to enhance intervention personalization. Here, we present how these digital ingredients and their integration could be crucial to address the current and future needs of CR facilitating the early detection of subtle CI and the delivery of increasingly effective treatments.

Participant characteristics of existing exercise studies in persons with multiple sclerosis - A systematic review identifying literature gaps

BACKGROUND

Exercise is a cornerstone in rehabilitation of persons with multiple sclerosis (pwMS), which is known to elicit beneficial effects on various symptoms and to have a potential disease-modifying effect. However, it remains to be elucidated if the existing MS exercise literature covers the full age and disability span of pwMS.

OBJECTIVE

To systematically review MS exercise studies and provide a detailed mapping of the demographic and clinical characteristics of the included pwMS.

METHODS

A systematic review of MS exercise studies were performed using MEDLINE and EMBASE. From the resulting MS exercise studies, mean sample characteristics were extracted.

RESULTS

4576 records were identified, from which 202 studies were included. Of these, 166 studies (82.2%) enrolled pwMS aged 35-54 years, 10.9% enrolled pwMS <35 years, and 6.9% enrolled pwMS ≥55 years (only 1.5% enrolled pwMS ≥60 years). A total of 118 studies (58.4%) reported Expanded Disability Status Scale (EDSS), with 88.1% of included pwMS having an EDSS between 2.0 and 6.5, while only one study enrolled pwMS with an EDSS ≥7.0. Finally, 80% of the studies included pwMS having a disease duration of 5-14.5 years.

CONCLUSION

Exercise studies in pwMS included primarily middle-aged (35-54 years) pwMS having an EDSS of 2.0-6.5 and a disease duration of 5-14.5 years. Few exercise studies were identified in young and older pwMS, in pwMS with mild disability and severe disability, and in pwMS having shorter or longer disease durations. These findings highlight the need for further investigation of exercise in these specific subgroups of pwMS as benefits of exercise might not generalize across subpopulations.