A proper clinical evaluation of patients with Multiple Sclerosis (MS) is of great importance to detect MS progression. It provides important data for physicians on their daily practice as well as ...with scientific purpose, especially useful with the development of newer therapeutic options in MS. Clinical outcome measures (COMs) are instruments that enable a standardized characterization of the patient's clinical disease status. A proper COM should have – among other psychometric characteristics - a good validity, reliability and responsiveness. For MS disability, the Expanded Disability Status Scale (EDSS) is currently the most frequently used scale. However, different less known COMs are also available and could be implemented on clinical practice. We review the most frequently used COMs of MS progression including their operationalization and statistical considerations, as well as newer composite COMs and digital tools on development. We focus on their responsiveness or capacity to detect clinically relevant changes to identify progression or transition to progressive forms of the disease, as well as therapeutic response.
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by demyelination and axonal loss. The etiology of MS is unknown; however, environmental and ...genetic factors play a key role in the development of MS. Diagnostic criteria have been adapted to facilitate earlier diagnosis with increased sensitivity and specificity. Our understanding of the pathophysiology of MS has deepened considerably in recent years, resulting in different therapies to modify the disease course. Furthermore, several drugs have lately shown efficacy in phase III studies and their approval is expected in the near future. As treatment options expand, a future challenge will be to find the optimal treatment for the individual patient.
This mini-review gives an overview of the current knowledge of MS with emphasis on the latest diagnostic criteria and both current and upcoming treatment options. Key Messages: Treatment of MS changes rapidly as the knowledge and therapeutic options in MS expand. Clinical Impact: Diagnosis of MS is based on McDonald criteria. MS therapy can be divided into relapse, disease-modifying and symptomatic treatment. Relapses are commonly treated with intravenous methylprednisolone. First-line therapy consists of either interferon-β, glatiramer acetate or teriflunomide. In general, agents used as escalation therapies (natalizumab, fingolimod and mitoxantrone) are more potent than the agents used for first-line therapy; however, these have potentially serious side effects and should be used with care.
The incidence of early onset multiple sclerosis (EOMS) is increasing. We therefore aimed to compare the demographic, clinical, and magnetic resonance imaging features of early onset and adult onset ...multiple sclerosis patients. Furthermore, the effects of age of onset were evaluated for patients who reached an expanded disability status scale (EDSS) scores of six.
This was a retrospective study of MS patient medical charts between 1977 and 2021, which were registered in the MS database. Only patients with relapsing remitting MS longer than 1 year were included in the study. The patients included in the study were divided into the EOMS and adult onset MS (AOMS) groups. General demographic datas, clinical datas such as the characteristics of the first clinical period, the time between the first two attacks, the attack rate in the first 2 and 3 years, the treatment status, the EDSS at the first evaluation, the EDSS score at 6 month intervals, the time to reach an EDSS score of six, and magnetic resonance imaging features such brain and spinal T2 lesions were recorded.
Total of 3477 including 353 (10.2 %) EOMS and 3124 (89.8 %) AOMS patients were analyzed. There was no statistically significant difference in symptom patterns between the EOMS and AOMS groups ( p = 0.649). Supratentorial clinical features at first attack were more common in AOMS patients, while optic neuropathy at first attack was more common in EOMS patients. Using univariable analysis, clinical supratentorial features at first attack, clinical optic neuropathy at first attack, clinical spinal cord at fist attack, spinal cord lesions, first EDSS score, relapse in the first 3 years, and onset patterns in terms of age were found to be statistically significant risk factors. In multivariable-adjusted analysis, clinical supratentorial features at first attack, clinical spinal cord lesions at first attack, first EDSS scores relapses in the first 3 years, and onset patterns in terms of age were found to be independent risk factors for EDSS in reaching a score of six. Early treatment start was associated with reduced hazard rate of reaching an EDSS score of 6.
Onset pattern in terms of age was an independent prognostic factor for neurological disabilities in MS patients.
•Onset pattern in terms of age is an independent prognostic factor for neurological disability in MS.•AOMS patients have an increased risk of reaching an EDSS score of six compared to patients with EOMS.•EOMS may be slower to progression than AOMS, but moderate-to-severe disability is reached at a younger age in EOMS.•In EOMS patients, any DMTs should be started early to prevent neurological disabilities due to MS.
Objective
The aim of this work was to evaluate the preprogressive phase in subjects with radiologically isolated syndrome (RIS) who evolve to primary progressive multiple sclerosis (PPMS).
Methods
A ...multicenter RIS cohort was previously established. Demographic, clinical, and radiological characteristics of subjects with RIS that evolved directly to PPMS were compared to those that developed a relapsing disease course from onset (clinically isolated syndrome CIS or relapsing‐remitting MS) and were also compared to two other population‐ and clinic‐based PPMS cohorts.
Results
Of the 453 subjects with RIS, 128 evolved to symptomatic MS during the follow‐up (113 developed a first acute clinical event consistent with CIS/MS, 15 evolved to PPMS). PPMS prevalence (11.7%) and onset age (mean ± standard deviation; 49.1 ± 12.1) in the RIS group were comparable to other PPMS populations (p > 0.05). Median time to PPMS was 3.5 years (range, 1.6–5.4). RIS evolved to PPMS more commonly in men (p = 0.005) and at an older age (p < 0.001) when compared to CIS/MS, independent of follow‐up duration. Subjects who evolved to PPMS had more spinal cord lesions (100%) before symptomatic evolution than those that developed CIS/MS (64%) and those that remained asymptomatic (23%) within the follow‐up period (P = 0.005). Other MRI characteristics in the preprogressive phase of PPMS were indistinguishable from CIS/MS.
Interpretation
Subjects with RIS evolve to PPMS at the same frequency as expected from general MS populations in an age‐dependent manner. Besides age, unequivocal presence of spinal cord lesions and being male predicted evolution to PPMS. Our findings further suggest that RIS is biologically part of the MS spectrum. Ann Neurol 2016;79:288–294
Multiple sclerosis is a chronic, predominantly immune-mediated disease of the central nervous system, and one of the most common causes of neurological disability in young adults globally. This ...review will discuss the epidemiology, diagnosis, disease course, and prognosis of multiple sclerosis and will focus on recent evidence and advances in these aspects of the disease.
Multiple sclerosis is increasing in incidence and prevalence globally, even in traditionally low-prevalence regions of the world. Recent revisions have been proposed to the existing multiple sclerosis diagnostic criteria, which will facilitate earlier diagnosis and treatment in appropriate patients. Classifying multiple sclerosis into distinct disease phenotypes can be challenging, and recent refinements have been proposed to clarify existing definitions. The prognosis of multiple sclerosis varies substantially across individual patients, and a combination of clinical, imaging, and laboratory markers can be useful in predicting clinical course and optimizing treatment in individual patients.
A number of recent advances have been made in the clinical diagnosis and prognostication of multiple sclerosis patients. Future research will enable the development of more accurate biomarkers of disease categorization and prognosis, which will enable timely personalized treatment in individual multiple sclerosis patients.
In contrast to the multiple disease-modifying therapies that are available for relapsing-remitting multiple sclerosis (MS), the therapeutic options for progressive MS (PMS) are limited. Recent ...advances in our understanding of the neuroimmunology of PMS, including the mechanisms that drive slowly expanding lesions, have fuelled optimism for improved treatment of this condition. In this Review, we highlight the commonly observed neuropathology of PMS and discuss the associated mechanisms of CNS injury. We then apply this knowledge to formulate criteria for therapeutic efficacy in PMS, beginning with the need for early treatment owing to the substantial neuropathology that is already present at the initial clinical presentation. Other requirements include: antagonism of neuroaxonal injury mediators such as pro-inflammatory microglia and lymphocytes; remediation of oxidative stress resulting from iron deposition and mitochondrial dysfunction; and promotion of neuroprotection through remyelination. We consider whether current disease-modifying therapies for relapsing-remitting MS meet the criteria for successful therapeutics in PMS and suggest that the evidence favours the early introduction of sphingosine 1-phosphate receptor modulators. Finally, we weigh up emerging medications, including repurposed generic medications and Bruton's tyrosine kinase inhibitors, against these fundamental criteria. In this new therapeutic era in PMS, success depends collectively on understanding disease mechanisms, drug characteristics (including brain penetration) and rational use.
This study aims to identify RNA biomarkers distinguishing neuromyelitis optica (NMO) from relapsing-remitting multiple sclerosis (RRMS) and explore potential therapeutic applications leveraging ...machine learning (ML). An ensemble approach was developed using differential gene expression analysis and competitive ML methods, interrogating total RNA-sequencing data sets from peripheral whole blood of treatment-naïve patients with RRMS and NMO and healthy individuals. Pathway analysis of candidate biomarkers informed the biological context of disease, transcription factor activity, and small-molecule therapeutic potential. ML models differentiated between patients with NMO and RRMS, with the performance of certain models exceeding 90% accuracy. RNA biomarkers driving model performance were associated with ribosomal dysfunction and viral infection. Regulatory networks of kinases and transcription factors identified biological associations and identified potential therapeutic targets. Small-molecule candidates capable of reversing perturbed gene expression were uncovered. Mitoxantrone and vorinostat—two identified small molecules with previously reported use in patients with NMO and experimental autoimmune encephalomyelitis—reinforced discovered expression signatures and highlighted the potential to identify new therapeutic candidates. Putative RNA biomarkers were identified that accurately distinguish NMO from RRMS and healthy individuals. The application of multivariate approaches in analysis of RNA-sequencing data further enhances the discovery of unique RNA biomarkers, accelerating the development of new methods for disease detection, monitoring, and therapeutics. Integrating biological understanding further enhances detection of disease-specific signatures and possible therapeutic targets.
Cerebral oxygen metabolism is altered in relapsing-remitting multiple sclerosis (RRMS), possibly a result of disease related cerebral atrophy with subsequent decreased oxygen demand. However, MS ...inflammation can also inhibit brain metabolism. Therefore, we measured cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO2) using MRI phase contrast mapping and susceptibility-based oximetry in 44 patients with early RRMS and 36 healthy controls. Cerebral atrophy and white matter lesion load were assessed from high-resolution structural MRI. Expanded Disability Status Scale (EDSS) scores were collected from medical records. The CMRO2 was significantly lower in patients (−15%, p = 0.002) and decreased significantly with age in patients relative to the controls (−1.35 µmol/100 g/min/year, p = 0.036). The lower CMRO2 in RRMS was primarily driven by a higher venous oxygen saturation in the sagittal sinus (p = 0.007) and not a reduction in CBF (p = 0.69). There was no difference in cerebral atrophy between the groups, and no correlation between CMRO2 and MS lesion volume or EDSS score. Therefore, the progressive CMRO2 decline observed before the occurrence of significant cerebral atrophy and despite adequate CBF supports emerging evidence of dysfunctional cellular respiration as a potential pathogenic mechanism and therapeutic target in RRMS.
Multiple sclerosis by phenotype in Germany Engelhard, Johanna; Oleske, Denise M.; Schmitting, Sarah ...
Multiple sclerosis and related disorders,
January 2022, 2022-Jan, 2022-01-00, 20220101, Letnik:
57
Journal Article
Odprti dostop
•The increasing prevalence of MS phenotypes signals an expanding healthcare burden.•PPMS and SPMS had significantly more prescriptions for symptom management vs RRMS.•Depression was the most common ...clinical condition associated with each phenotype.
: A diagnosis of multiple sclerosis (MS) can be categorized based on its disease course into the following phenotypes: relapsing-remitting MS (RRMS), primary progressive MS (PPMS), and secondary progressive MS (SPMS). With one exception, studies of MS by phenotype either provide only prevalence data or if describing drug utilization, the emphasis is on patients with RRMS; while drug utilization by phenotype tends to be examined over the course of a year. No recent studies have comprehensively evaluated MS phenotypes by prevalence, drug utilization, and comorbidities over time from a population-based perspective, which is essential for understanding the disease burden and identifying unmet needs in MS. Germany is one of the few countries where specific MS phenotypes are commonly recorded in routine clinical practice. The purpose of this study was to compare MS phenotypes with respect to changes in their population-based prevalence rates and the types of MS treatments prescribed over time, as well as the frequency of clinical conditions associated with MS based on data from a German health insurance database.
: This retrospective, observational, cohort study used data from a German health insurance database for the period 2010 to 2017. Patients aged 18+ years with a specified phenotype of MS based on ICD-10 diagnosis coding were included in the analysis.
: In 2010, RRMS was reported in 73%, PPMS in 8%, and SPMS in 19% of patients with MS with a known phenotype. The mean ages of patients were 41.4, 53.6, and 52.8 years, respectively, and all phenotypes were associated with a female predominance (69%, 63% and 63%, respectively). The prevalence rate of each phenotype markedly increased during the study period (RRMS +113%, PPMS +40%, SPMS +54%; in 2017 the rates were 183, 14, and 34 per 100,000, respectively). The mean age of patients reporting each phenotype also increased (p<0.01), while the female:male proportion remained stable in RRMS and SPMS, the proportion of females significantly declined over time in the PPMS group. The overall percentage of patients prescribed a disease-modifying drug increased across the phenotypes from 51% to 57%. Prescription of interferon-based therapies declined in each phenotype, with the greatest declines observed in RRMS and PPMS. The PPMS and SPMS groups had significantly more prescriptions for symptom management than the RRMS group. Depression was the most prevalent clinical condition associated with each phenotype. There was a significant difference in the percentage of patients with depression across the phenotypes (p = 0.03), with the highest among SPMS (44%) compared with RRMS (35%) or PPMS (37%). Significant differences (p<0.05) across the phenotypes were also observed for the composite prevalence of cardiovascular conditions (highest in PPMS) and cognitive dysfunction (highest in SPMS).
: The increasing numbers of patients across each MS phenotype, aging population in patients with MS regardless of phenotype, gender differences and variations across the types of treatments prescribed, and clinical conditions associated with each MS phenotype present new insight into the disease burden and treatment strategies of MS. These should be considered when developing healthcare strategies and optimizing care for patients with MS.
Although substantial progress has been made in understanding the natural history of multiple sclerosis (MS) and the development of new therapies, many questions concerning disease behavior and ...therapeutics remain to be answered. Data generated from real-world observational studies, based on large MS registries and databases and analyzed with advanced statistical methods, are offering the scientific community answers to some of these questions that are otherwise difficult or impossible to address. This review focuses on observational studies published in the last 2 years designed to compare the effectiveness of escalation vs. induction treatment strategies, to assess the effectiveness of treatment in pediatric-onset and late-onset MS, and to identify the clinical phenotype of secondary progressive (SP)MS.
The main findings originating from real-world studies suggest that MS patients who will qualify for high-efficacy disease-modifying therapies (DMTs) should be offered these as early as possible to prevent irreversible accumulation of neurological disability. Especially pediatric patients derive substantial benefits from early treatment. In patients with late-onset MS, sustained exposure to DMTs may result in more favorable outcomes. Data-driven definitions are more accurate in defining transition to SPMS than diagnosis based solely on neurologists' judgment.
Patients, physicians, industry, and policy-makers have all benefited from real-world evidence based on registry data, in answering questions of diagnostics, choice of treatment, and timing of treatment decisions.
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