Multiple Sclerosis Journal最新文献

Background: Diagnostic errors in multiple sclerosis (MS) impact patients and healthcare systems.

Objectives: This study aimed to determine the prevalence of MS misdiagnosis and underdiagnosis, time delay in reaching a correct diagnosis and potential impact of sex.

Methods: Systematic review and meta-analysis on MS diagnostic errors.

Results: Out of 3910 studies, we included 62 for a qualitative synthesis and 24 for meta-analyses. Frequency of misdiagnosis (incorrect assignment of an MS diagnosis) ranged from 5% to 41%, with a pooled proportion based on six studies of 15% (95% CI: 9%-26%, n = 1621). The delay to rectify a misdiagnosis ranged from 0.3 to 15.9 years. Conversely, underdiagnosis (unrecognized diagnosis of MS) ranged from 3% to 58%, with a pooled proportion in four studies of 36% (95% CI: 20%-55%, n = 728). Pooling seven studies comprising 2851 individuals suggested a diagnostic delay to establish a correct MS diagnosis of 17.3 months (95% CI: 11.9-22.7) in patients underdiagnosed. In a meta-analysis of five studies, women were 2.1 times more likely to be misdiagnosed with MS compared to men (odds ratio, 95% CI: 1.53-2.86).

Conclusion: This study provides summary-level evidence for the high prevalence of MS misdiagnosis and underdiagnosis. Future studies are needed to understand the causes of these diagnostic challenges in MS care.

Background: Previous studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity.

Methods: Data were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression.

Results: We analysed data from 17,314 people with MS, including participants from self-reported Black (n = 157) or South Asian (n = 230) ethnic backgrounds. Age at MS onset and diagnosis was lower in those of South Asian (median 30.0) and Black (median 33.0) ethnicity compared with White ethnicity (median 35.0). In participants with online MS severity measures available, we found no statistically significant evidence for an association between ethnic background and physical disability in MS in both cross-sectional and longitudinal analyses.

Conclusion: We found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings.

Background: Multiple sclerosis (MS) may occur before the age of 18. Differentiation between paediatric MS (PedMS) and other demyelinating syndromes (ODSs) is challenging. In adult with MS, the kappa free light chain (KFLC) index has proven to be a reliable marker of intrathecal Ig synthesis.

Objective: To assess the diagnostic value of the KFLC index in a cohort of patients with paediatric-onset, inflammatory disorders of the CNS.

Methods: We included 73 patients and divided them into four groups: PedMS (n = 16), ODS (n = 17), encephalitis and/or inflammatory epilepsy (EE, n = 15), and controls without inflammatory CNS diseases (n = 25). The KFLC index was calculated and compared with the results of the oligoclonal bands determination.

Results: The KFLC index was higher in the PedMS group (median (interquartile range (IQR)): 150.9 (41.02-310.6)) than in the ODS (3.37 (2.22-8.11)), the EE (5.53 (2.31-25.81)) and the control group (3.41 (2.27-5.08)), respectively. The best KFLC index cut-off for differentiating between patients with PedMS and controls was 6.83 (sensitivity: 100%; specificity: 92%). A KFLC index over 93.77 indicated that the patient is very likely to have PedMS (sensitivity: 68%; specificity: 100%).

Conclusion: The KFLC index is a reliable tool for the diagnosis of MS in a paediatric population.

One in three females with multiple sclerosis (MS) becomes pregnant after diagnosis. In the postpartum period, there is a risk of rebound inflammatory activity. This risk can likely be reduced with breastfeeding, as well as with early initiation of effective therapies that have low therapeutic lag. To guide patients in their choices surrounding breastfeeding and MS therapies, clinicians must be familiar with how best to protect against relapses, to ensure infant safety, and to support breastfeeding choices. This topical review provides a broad framework on lactation in women with MS. It seeks to reframe guidelines around caring for the maternal-infant dyad, and for diverse populations living with MS. It also provides updated data on the effects of lactation in women with MS and the limited data on transfer of disease-modifying therapies (DMTs) into breastmilk. The ultimate goal is to support informed shared decision-making between clinicians and patients regarding breastfeeding during the high-risk postpartum period.

Healthcare breakthroughs are extending the lives of multiple sclerosis (MS) patients and cancer survivors, creating a growing cohort of individuals navigating a dual diagnosis. Determining the relationship between MS and cancer risk remains challenging, with inconclusive findings confounded by age, risk exposures, comorbidities, genetics and the ongoing introduction of new MS disease-modifying therapies (DMTs) across study periods.This research places significant emphasis on cancer survival, with less attention given to the impact on MS outcomes. Our review explores the existing literature on MS, cancer risk and the intersection of DMTs and cancer treatments. We aim to navigate the complexities of managing MS in cancer survivors to optimise outcomes for both conditions. Continuous research and the formulation of treatment guidelines are essential for guiding future care. Collaboration between neuro-immunology and oncology is crucial, with a need to establish databases for retrospective and ultimately prospective analysis of outcomes in these rapidly evolving fields.

Despite the commonly observed association of anti-myelin oligodendrocyte glycoprotein (MOG) antibodies with bilateral optic neuritis, their connection to uveitis is largely unexplored. The presented case involves a 41-year-old male with uveitis and bilateral optic neuritis, subsequently diagnosed with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). This case, characterized by bilateral optic neuritis associated to anti-MOG antibodies and the concurrent onset of unilateral anterior uveitis, provides further evidence concerning the features of intraocular inflammation in MOGAD. The patient's treatment response, including the use of rituximab due to contraindications to oral steroids, emphasizes the importance of personalized management strategies in MOGAD-associated ocular manifestations.

Background: The role of the glymphatic system in multiple sclerosis (MS)-related disability remains underexplored. Diffusion-tensor image analysis along the perivascular space (DTI-ALPS) offers a non-invasive method to assess glymphatic function.

Objective: To evaluate glymphatic function in MS patients with lower and higher disability.

Methods: This study included 118 MS patients who underwent structural, diffusion-weighted imaging, and clinical assessment. The participants were divided into lower (MS-L, n = 57) and higher disability (MS-H, n = 61) subgroups. Brain parenchymal fraction (BPF), lesion load (LL), and DTI-ALPS index were measured. Subgroup differences and correlations between DTI-ALPS index and other measures were explored. Logistic regression was performed to evaluate BPF, LL, and DTI-ALPS index in classifying lower and higher disability patients.

Results: Significant differences in DTI-ALPS index between MS-H and MS-L (d = -0.71, false discovery rate-corrected p-value (p-FDR) = 0.001) were found. The DTI-ALPS index correlated significantly with disease duration (r_p = -0.29, p-FDR = 0.002) and EDSS (r_sp = -0.35, p-FDR = 0.0002). It also showed significant correlations with BPF and LL. DTI-ALPS index and LL were significant predictors of disability subgroup (DTI-ALPS: odds ratio (OR) = 1.77, p = 0.04, LL: OR = 0.94, p = 0.02).

Conclusion: Our findings highlight DTI-ALPS index as an imaging biomarker in MS, suggesting the involvement of glymphatic impairment in MS pathology, although further research is needed to elucidate its role in contributing to MS-related disability.