Comorbidity in multiple sclerosis is associated with diagnostic delays and increased mortality

Multiple Sclerosis diagnostic delay in a public reference center in Brazil: Related factors and functional impact

INTRODUCTION

Early and accurate MS diagnosis followed by prompt intervention is crucial in modifying the disease's natural history. This study aimed to assess the factors related to diagnostic delay in relapsing-remitting MS (RRMS) and its association with functional status.

METHODS

A cross-sectional study at a reference center in Bahia, Brazil, carried out from July/2021 to April/2024. Late MS diagnosis was defined as >3 months since the disease's clinical onset. EDSS assessed functional status.

RESULTS

A total of 265 patients were included. The median time from symptoms' onset until diagnosis was 7 (IQR, 2-29) months, and 159 patients (60 %) had a late diagnosis. Multivariate logistic regression showed that living outside the metropolitan region, comorbidities, prior misdiagnosis, and disease onset before the McDonald 2017 criteria update were associated with late diagnosis. Meanwhile, disease onset with visual symptoms was related to early diagnosis. Finally, late diagnosis was related to worse functional status in RRMS patients.

CONCLUSION

Diagnostic delays in our population are significant, driven by living in cities outside the metropolitan region, comorbidities, previous misdiagnosis, and the use of McDonald's diagnostic criteria before the 2017 update. Understanding this reality is crucial, as timely diagnosis and treatment are essential for a favorable prognosis in RRMS.

Mortality and causes of death for people with multiple sclerosis: a Finnish nationwide register study

INTRODUCTION

Population-based longitudinal data on mortality and causes of death (COD) for people with Multiple Sclerosis (pwMS) is scarce. We studied all-cause and cause-specific mortality in Finnish pwMS in a nationwide registry study.

METHODS

PwMS from 1st January 1971 until end of 2019 were identified from the Finnish MS registry and national health care register. Standardized mortality ratios (SMRs), excess death rates (EDRs), life expectancies, and causes of death (COD) were determined by linkage to national registries.

RESULTS

For 16,602 pwMS, 3936 deaths occurred between 1980 and 2020. During 1980-1999, SMR for pwMS was 3.07 (95% CI 2.91-3.25) and EDR 14.05 (95% CI 13.72-14.37), and during 2000-2020 2.18 (95% CI 2.10-2.26) and 7.48 (95% CI 7.2-7.75), respectively. SMRs were higher for female pwMS and for patients diagnosed under age 30. EDRs were higher for males. Risk of death was lower for pwMS diagnosed 1996-2005 versus 1980-1995 (HR 0.49; 95% CI 0.43-0.55; p < 0.001). MS was the underlying cause in 51.2%, and a mentioned cause in 73.1% of deaths during 2000-2020. Mortality by underlying cause was higher than expected for gastrointestinal diseases (SMR 2.15, 95% CI 1.53-2.77), respiratory infections (SMR 1.99, 95% CI 1.22-2.75), and vascular diseases (SMR 1.38, 95% CI 1.25-1.51). Median lifetime expectancy was shortened by 7 years.

CONCLUSION

Excess mortality in Finnish pwMS has decreased during the last 40 years. Life expectancy is shortened by 7 years and MS itself is the most frequent underlying COD. Risk of death is lower for pwMS diagnosed during the therapeutic era.

Performance of a Modified Version of the Charlson Comorbidity Index in Predicting Multiple Sclerosis Disability Accrual

BACKGROUND

The natural history of multiple sclerosis (MS) is highly heterogeneous and almost unpredictable since several factors may affect the disease course including comorbidities. The aims of this study were to predict the risk of disability worsening and disease progression at the first patient's visit by using a modified version of the Charlson Comorbidity Index (mCCI).

METHODS

the mCCI was obtained by incorporating the grade of pyramidal functional system scores extracted by the Expanded Disability Status Scale (EDSS) into the original CCI version. The risk of reaching EDSS 4, EDSS 6, and secondary MS progression (SPMS) associated to mCCI classes was calculated by carrying out multivariable Cox-regression models and it was reported as hazard ratios (HRs) and 95% confidence intervals (95% CIs). The accuracy of mCCI for the recognition of individuals who reached the study milestones was estimated by building the receiving operator curves and the optimal cut-off values were estimated.

RESULTS

A total of n = 622 individuals were enrolled (72.7% women; median age 30.8 years [24-40]). Compared with patients with a mCCI equal to zero, the HRs for those with a mCCI comprised between 1 and 2 at the first visit were 1.53 (1.1-2.1), 2.17 (1.48-2.96), and 1.57 (1.16-2.1) for the reaching of EDSS 4, EDSS 6, and SPMS, respectively. Moreover, individuals with a mCCI equal or higher than 3 were at even higher risk of reaching EDSS 6 (HR = 2.34 [1.44-3.8]) and SPMS conversion (HR = 2.38 [1.29-4.01]). The mCCI cut-off value of 3 reached a sensitivity and specificity of 88.1% and 77.8%, respectively, for the recognition of EDSS 4, while the mCCI cut-off of 4 reached a sensitivity of 83.1% and a specificity of 80.7% for the recognition of EDSS 6 and a sensitivity and a specificity of 76.8% and 87.5%, respectively, for the recognition of SPMS conversion.

CONCLUSION

mCCI appeared a simple and fast tool for the prediction of MS prognosis since the first patient's visit and its best cut-off values showed higher sensitivity and specificity for the recognition of patients who undergo disability worsening and SPMS conversion.

Diagnostic delay and misdiagnosis of symptoms reported by patients with multiple sclerosis participating in a research registry

Background

Research cohort data suggest diagnostic delay in multiple sclerosis (MS) has diminished in tandem with MS diagnostic criteria revisions, yet other studies have not replicated this finding. Recent data indicate misdiagnosis of initial symptoms of MS is a frequent contributor to diagnostic delay.

Objectives

This survey study assessed diagnostic delay and misdiagnosis in an MS patient registry.

Methods

Participants completed the survey study between November 12, 2021, through December 22, 2021.

Results

There were 428 participants. Diagnostic delay was a median of 2.0 months (mean of 22.8 months, range: 0-32.9 years); 173/428 (40.4%) reported misdiagnosis of symptoms later attributed to MS, and this was associated with longer diagnostic delay (p < 0.001). Diagnostic delay decreased over time proximal to revisions to MS diagnostic criteria. 217/428 (50.7%) reported earlier symptoms retrospectively recognized as referable to MS that were not clinically evaluated, resulting in a diagnostic delay median of 5.4 years (mean 8.9 years, range: 0-47.4 years).

Conclusions

Diagnostic delay was prevalent and associated with frequent misdiagnosis of initial symptoms of MS and earlier unevaluated symptoms later attributed to MS. Studies tracing the diagnostic journey of patients with MS are needed to understand and prevent causes of diagnostic delay.

Comorbidities and their association with outcomes in the multiple sclerosis population: A rapid review

INTRODUCTION

Multiple sclerosis (MS) has a high comorbidity burden. Despite known associations with adverse outcomes, a comprehensive evaluation of the specific associations between individual comorbidities and disability, treatment initiation, and mortality remains underexplored. This study aimed to review and summarize existing evidence on the association between comorbidities and these three MS outcomes.

METHODS

A rapid review spanning the period from January 2002 to October 2023 was conducted following the Cochrane Rapid Review Methods Group recommendations. MEDLINE, Embase, and the grey literature were searched to identify studies examining the effects of comorbidities on disability, treatment initiation, and mortality among individuals with MS. Data extraction and risk of bias assessments were systematically performed, with the Newcastle-Ottawa scale and A MeaSurement Tool to Assess systematic Reviews (AMSTAR-2) criteria for observational studies and systematic reviews respectively.

RESULTS

The review included 100 primary studies, encompassing 88 different comorbidities. Most study populations were between 60-80% female, with an average age of 30-45 years at study start. The majority of included studies were conducted in Europe, North America, and Asia (specifically the Middle East). Over half (66%) of specific comorbidity-outcome relationships were examined within a single study only, and just two studies examined treatment initiation as an outcome. Methods used to assess comorbidities and outcomes varied widely and included self-report measures, medical records and diagnostic codes, and standardized clinical assessments. Depression was consistently associated with greater disability (adjusted hazard ratio (aHR): 1.50-3.59) and mortality (aHR: 1.62-3.55). Epilepsy was similarly associated with increased disability (aOR: 1.13-1.77) and increased mortality (aHR: 2.23-3.85). Diabetes was generally associated with increased mortality (aHR: 1.39-1.47), but results for disability were inconsistent. Most other conditions were examined in one or two studies only or findings varied across studies, unable to collectively indicate a clear association. Although the anxiety-disability relationship was assessed by 24 studies, the findings varied in terms of the presence, direction, and strength of a possible association, requiring nuanced interpretation.

CONCLUSIONS

This study identifies relationships between various comorbidities and three outcomes in MS, providing a foundation for future research and clinical guidelines. People with psychiatric, metabolic, and neurological conditions may be at a higher risk of MS disease progression and may therefore benefit from the targeted treatment of their comorbidities. Overall, comorbidities have varying associations with MS outcomes and individual associations require further exploration. However, there is evidence that some comorbidities indicate worse disability and higher mortality risk, and present barriers to initiating MS treatment, making the prevention and management of comorbidities an integral piece of MS patient care.

PROTOCOL

The protocol for this rapid review was registered on PROSPERO (ID: CRD42023475565) and published on Protocol Exchange (https://doi.org/10.21203/rs.3.pex-2438/v1).

Investigation of differences between chronological and vascular age in persons with multiple sclerosis

OBJECTIVE

To determine vascular age (VA) in a cohort of persons with multiple sclerosis (PwMS) in Belgrade, Serbia, and to assess the difference between chronological age (CA) and VA, in this population.

MATERIAL AND METHODS

A case-control study was conducted at the Clinic of Neurology, University Clinical Center of Serbia in Belgrade. Study participants (n = 274) were recruited during regular outpatient visits. Demographic and clinical characteristics including the presence of CVD comorbidities of PwMS were collected. Data were obtained using a questionnaire, designed and adapted for the study purposes. Additionally, fasting blood samples were collected from all participants, in order to determine their lipid profile. VA was calculated based on the patient's sex, age, smoking status, total serum cholesterol level and systolic blood pressure (SBP) value. Afterwards, the study sample was divided into five groups with the different levels of the atherosclerotic burden, as follows: 1) PwMS without any CVD comorbidity; 2) PwMS with hyperlipidemia (HLP); 3) PwMS with HLP and hypertension (HTA); 4) PwMS with HLP, HTA and type 2 diabetes, and 5) PwMS with coronary artery disease (CAD). In the statistical analysis, for the determination of factors that are independently associated with the discrepancy between CA and VA in persons with MS, hierarchical regression analysis was performed.

RESULTS

The mean values of CA and VA were statistically significantly different among the groups(p<0.001). Additionally, a significant difference was also detected between CA and VA (p<0.001). The highest VA (66.4±15.8 years) and the difference between CA and VA (6.5±7.3 years) were registered only in the group comprising PwMS, HPL, HTA and type 2 diabetes. Results of the hierarchical linear regression analysis showed that the Expanded Disability Status Scale (EDSS) score, Body mass index (BMI), physical activity and the presence of type 2 diabetes, explained a total of 24% of the variations in the difference between CA and VA, in our cohort of MS patients.

CONCLUSION

Our study showed significant difference between CA and VA in PwMS and additionally, increasing VA with atherosclerotic burden. Additionally, it has been demonstrated that crucial factors which led to the occurrence of these differences were BMI, physical activity, EDSS and the presence of type 2 diabetes.

Differential diagnosis of suspected multiple sclerosis: considerations in people from minority ethnic and racial backgrounds in North America, northern Europe, and Australasia

The differential diagnosis of suspected multiple sclerosis has been developed using data from North America, northern Europe, and Australasia, with a focus on White populations. People from minority ethnic and racial backgrounds in regions where prevalence of multiple sclerosis is high are more often negatively affected by social determinants of health, compared with White people in these regions. A better understanding of changing demographics, the clinical characteristics of people from minority ethnic or racial backgrounds, and the social challenges they face might facilitate equitable clinical approaches when considering a diagnosis of multiple sclerosis. Neuromyelitis optica, systemic lupus erythematous, neurosarcoidosis, infections, and cerebrovascular conditions (eg, hypertension) should be considered in the differential diagnosis of multiple sclerosis for people from minority ethnic and racial backgrounds in North America, northern Europe, and Australasia. The diagnosis of multiple sclerosis in people from a minority ethnic or racial background in these regions requires a comprehensive approach that considers the complex interplay of immigration, diagnostic inequity, and social determinants of health.

Misdiagnosis and underdiagnosis of multiple sclerosis: A systematic review and meta-analysis

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.

Protocol of a prospective multicenter study on comorbidity impact on multiple sclerosis and antibody-mediated diseases of the central nervous system (COMMIT)

Comorbidities in patients with multiple sclerosis (MS) and antibody-mediated diseases of the central nervous system (CNS) including neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein (MOG)-antibody-associated disease (MOGAD) are common and may influence the course of their neurological disease. Comorbidity may contribute to neuronal injury and therefore limit recovery from attacks, accelerate disease progression, and increase disability. This study aims to explore the impact of comorbidity, particularly vascular comorbidity, and related risk factors on clinical and paraclinical parameters of MS, NMOSD and MOGAD. We propose COMMIT, a prospective multicenter study with longitudinal follow-up of patients with MS, NMOSD, and MOGAD, with or without comorbidities, as well as healthy subjects as controls. Subjects will be stratified by age, sex and ethnicity. In consecutive samples we will analyze levels of inflammation and neurodegeneration markers in both fluid and cellular compartments of the peripheral blood and cerebrospinal fluid (CSF) using multiple state-of-the-art technologies, including untargeted proteomics and targeted ultrasensitive ELISA assays and quantitative reverse transcription polymerase chain reaction (RT-qPCR) as well as high-dimensional single-cell technologies i.e., mass cytometry and single-cell RNA sequencing. Algorithm-based data analyses will be used to unravel the relationship between these markers, optical coherence tomography (OCT) and magnetic resonance imaging (MRI), and clinical outcomes including frequency and severity of relapses, long-term disability, and quality of life. The goal is to evaluate the impact of comorbidities on MS, NMOSD, and MOGAD which may lead to development of treatment approaches to improve outcomes of inflammatory demyelinating diseases of the CNS.

Impact of multiple sclerosis comorbidities on quality of life and job activity

BACKGROUND

Multiple sclerosis (MS) is frequently accompanied by comorbid conditions.

OBJECTIVES

This study aimed to determine the prevalence of key comorbid conditions in people with multiple sclerosis (pwMS) and assess their impact on quality of life and work-related activities.

METHODS

A cross-sectional study involving 755 pwMS from two third-level Italian MS centers was conducted. Comorbidities were identified from medical records, and quality of life was assessed using the EQ-5D-3L questionnaire. Work-related challenges were evaluated using the Multiple Sclerosis Questionnaire for Job Difficulties (MSQ-Job).

RESULTS

53.8% of pwMS had at least one comorbidity. Hypertension, depression, and anxiety were the most prevalent. Comorbidity presence was associated with reduced quality of life scores in almost all EQ-5D-3L domains and greater job difficulties in all but one MSQ-Job domain.

CONCLUSION

Comorbidities in pwMS are prevalent and have a profound influence on quality of life and work-related activities. This comprehensive study offers new insights into the role of comorbidities in MS within the Italian context, emphasizing the need for a multidisciplinary approach in MS management. Further research is crucial to deepen our understanding of these findings in the broader Italian MS community.

Prevalence and epidemiology of stroke in patients with multiple sclerosis: a systematic review and meta-analysis

BACKGROUND

Epidemiological data are sparse regarding the risk of stroke in patients with multiple sclerosis (MS).

OBJECTIVE

To estimate the following: (1) the pooled prevalence of all-cause stroke, acute ischaemic stroke (AIS) and intracerebral haemorrhage (ICH) in MS patients; (2) the relative risk for all-cause stroke, AIS and ICH in MS patients compared to the general population; (3) associations between patient characteristics and the risk for AIS and ICH in MS patients.

METHODS

Systematic review and meta-analysis of registry-based and cohort studies.

RESULTS

Thirteen observational studies comprising 146,381 MS patients were included. The pooled prevalence of all-cause stroke was 2.7% (95% confidence interval [CI] 1.3-4.6%), with the relative risk of all-cause stroke being higher in MS patients compared to the general population (RR: 2.55; 95% CI 1.97-3.29). Subgroup analyses per stroke subtype revealed a pooled AIS prevalence of 2.1% (95% CI 0.8-4.1%) and a pooled ICH prevalence of 0.6% (95% CI 0.2-1.2%). Compared to the general population, patients with MS were found to harbour an increased risk for AIS (RR: 2.79; 95% CI 2.27-3.41) and ICH (RR: 2.31; 95% CI 1.04-5.11), respectively. The pooled prevalence of cardiovascular risk factors in MS patients was 11.5% (95% CI 2.9-24.7%) for dyslipidaemia, 18.2% (95% CI 5.9-35.3%) for hypertension and 5.4% (95% CI 2.1-10.2%) for diabetes. In meta-regression, age was negatively associated with AIS risk (β =  - .03, p = 0.04), with a 1-year increase in age resulting in a significant 3% (95%CI 0-5) attenuation of the risk of AIS.

CONCLUSION

The findings of the present meta-analysis indicate that MS is associated with an increased risk for ischaemic and haemorrhagic stroke. Future well-designed epidemiological studies are warranted to corroborate the robustness of the present findings in the MS population.

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.

Perceived health- related quality of life in persons with multiple sclerosis with and without a vascular comorbidity

PURPOSE

Vascular comorbidities are prevalent and can contribute to adverse health outcomes in persons with multiple sclerosis (PwMS). Understanding the association between vascular comorbidities and health-related quality of life (HRQOL) among PwMS may be beneficial in improving outcomes and disease management. This cross-sectional study aimed to examine the relationship between vascular comorbidities and the different dimensions of HRQOL in PwMS.

METHODS

Participants (n = 185) were PwMS recruited from a community-based comprehensive MS care center. Demographics, comorbid conditions, and disability level were collected via a self-report REDCap survey, with the 29-item Multiple Sclerosis Quality of Life (MSQOL-29) as the outcome measure. Regression models were used to examine the association between vascular comorbidities and the MSQOL-29, controlling for age, gender, ethnicity, level of education, marital status, MS subtype, disease duration, and disability.

RESULTS

Approximately 35% reported at least one vascular comorbidity, with the most common being hypertension (27.0%), followed by hyperlipidemia (24.9%) and diabetes (8.1%). After factoring in for demographics and disability, having a vascular comorbidity was associated with lower physical HRQOL (β = - 10.05, 95% CI: - 28.24, 23.50), but not mental HRQOL (β = - 2.61, 95% CI: - 10.54, 5.32). Hypertension was negatively associated with several dimensions of HRQOL, including Physical Function, Change in Health, Health Perceptions, Energy, and Health Distress.

CONCLUSIONS

 Having at least one vascular comorbidity is associated with lower physical HRQOL, independent of demographics and level of physical disability. Focus should be directed to the physical burden and challenges vascular comorbidities may cause on the lives of PwMS.

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.

[A role of cerebrovascular diseases in the progression of multiple sclerosis]

OBJECTIVE

To identify the association between cerebrovascular diseases (CVD) and multiple sclerosis (MS) among patients over 50 years old in two independent populations of Moscow and Tyumen.

MATERIAL AND METHODS

The study included 94 patients with MS in combination with CVD (main group) and 90 age-and sex-matched patients with MS without a vascular history (comparison group). An analysis of parameters such as disease duration, EDSS at different time points, disease progression index, duration of first remission in each population separately and in both populations together was carried out.

RESULTS

The presence of CVD in patients with MS was associated with the presence of other diseases that are associated with an increased risk of developing cerebrovascular pathology. In the main group, there was a statistically significant decrease in the duration of the first remission and an increase in the disease progression index. In addition, other diseases and syndromes were identified in the main group that, in combination with CVD in patients with MS, could lead to a worsening of the course of MS. These included arterial hypertension, diabetes mellitus, obesity, dyslipidemia, chronic venous insufficiency, and regular use of proton pump inhibitors.

CONCLUSION

Comorbid vascular pathology can affect the severity of MS from the very beginning of the disease. It can lead to a shorter duration of the first remission and a higher disease progression index, increasing the degree of disability. The combination of autoimmune-inflammatory, demyelinating, and vascular processes can worsen the prognosis for MS.

Disease Modifying Strategies in Multiple Sclerosis: New Rays of Hope to Combat Disability?

Multiple sclerosis (MS) is the most prevalent chronic autoimmune inflammatory- demyelinating disorder of the central nervous system (CNS). It usually begins in young adulthood, mainly between the second and fourth decades of life. Usually, the clinical course is characterized by the involvement of multiple CNS functional systems and by different, often overlapping phenotypes. In the last decades, remarkable results have been achieved in the treatment of MS, particularly in the relapsing- remitting (RRMS) form, thus improving the long-term outcome for many patients. As deeper knowledge of MS pathogenesis and respective molecular targets keeps growing, nowadays, several lines of disease-modifying treatments (DMT) are available, an impressive change compared to the relative poverty of options available in the past. Current MS management by DMTs is aimed at reducing relapse frequency, ameliorating symptoms, and preventing clinical disability and progression. Notwithstanding the relevant increase in pharmacological options for the management of RRMS, research is now increasingly pointing to identify new molecules with high efficacy, particularly in progressive forms. Hence, future efforts should be concentrated on achieving a more extensive, if not exhaustive, understanding of the pathogenetic mechanisms underlying this phase of the disease in order to characterize novel molecules for therapeutic intervention. The purpose of this review is to provide a compact overview of the numerous currently approved treatments and future innovative approaches, including neuroprotective treatments as anti-LINGO-1 monoclonal antibody and cell therapies, for effective and safe management of MS, potentially leading to a cure for this disease.

A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis

BACKGROUND

The central vein sign (CVS) is a proposed magnetic resonance imaging (MRI) biomarker for multiple sclerosis (MS); the optimal method for abbreviated CVS scoring is not yet established.

OBJECTIVE

The aim of this study was to evaluate the performance of a simplified approach to CVS assessment in a multicenter study of patients being evaluated for suspected MS.

METHODS

Adults referred for possible MS to 10 sites were recruited. A post-Gd 3D T2*-weighted MRI sequence (FLAIR*) was obtained in each subject. Trained raters at each site identified up to six CVS-positive lesions per FLAIR* scan. Diagnostic performance of CVS was evaluated for a diagnosis of MS which had been confirmed using the 2017 McDonald criteria at thresholds including three positive lesions (Select-3*) and six positive lesions (Select-6*). Inter-rater reliability assessments were performed.

RESULTS

Overall, 78 participants were analyzed; 37 (47%) were diagnosed with MS, and 41 (53%) were not. The mean age of participants was 45 (range: 19-64) years, and most were female (n = 55, 71%). The area under the receiver operating characteristic curve (AUROC) for the simplified counting method was 0.83 (95% CI: 0.73-0.93). Select-3* and Select-6* had sensitivity of 81% and 65% and specificity of 68% and 98%, respectively. Inter-rater agreement was 78% for Select-3* and 83% for Select-6*.

CONCLUSION

A simplified method for CVS assessment in patients referred for suspected MS demonstrated good diagnostic performance and inter-rater agreement.

Comorbid autoimmune disorders in people with multiple sclerosis: A retrospective cohort study

Most autoimmune disorders, including multiple sclerosis (MS), are influenced by shared genetic and environmental factors. We conducted a cohort study of people with MS to calculate the frequency of comorbid autoimmune disorders and characterize this cohort. Autoimmune diseases were present in 30 (8.6%) of 349 patients. The most prevalent diagnoses were autoimmune thyroiditis, type 1 diabetes mellitus, psoriasis, and inflammatory bowel disease. We found no association with demographic or clinical factors. In our cohort, autoimmune disorders were not uncommon. Identifying such comorbidities in people with MS can be determinant for understanding disease mechanisms, treatment decisions and disease management.

Impact of Alcohol Consumption on Multiple Sclerosis Using Model-based Standardization and Misclassification Adjustment Via Probabilistic Bias Analysis

BACKGROUND

The etiology of multiple sclerosis (MS) is still not well-demonstrated, and assessment of some risk factors like alcohol consumption has problems like confounding and measurement bias. To determine the causal effect of alcohol consumption on MS after adjusting for alcohol consumption misclassification bias and confounders.

METHODS

In a population-based incident case-control study, 547 patients with MS and 1057 healthy people were recruited. A minimally sufficient adjustment set of confounders was derived using the causal directed acyclic graph. The probabilistic bias analysis method (PBAM) using beta, logit-logistic, and triangular probability distributions for sensitivity/specificity to adjust for misclassification bias in self-reporting alcohol consumption and model-based standardization (MBS) to estimate the causal effect of alcohol consumption were used. Population attributable fraction (PAF) estimates with 95% Monte Carlo sensitivity analysis (MCSA) intervals were calculated using PBAM and MBS analysis. Bootstrap was used to deal with random errors.

RESULTS

The adjusted risk ratio (95% MCSA interval) from the probabilistic bias analysis and MBS between alcohol consumption and MS using the three distribution was in the range of 1.93 (1.07 to 4.07) to 2.02 (1.15 to 4.69). The risk difference (RD) in all three scenarios was 0.0001 (0.0000 to 0.0005) and PAF was in the range of 0.15 (0.010 to 0.50) to 0.17 (0.001 to 0.47).

CONCLUSION

After adjusting for measurement bias, confounding, and random error alcohol consumption had a positive causal effect on the incidence of MS.

Diagnostic delay of multiple sclerosis: prevalence, determinants and consequences

BACKGROUND

Early diagnosis and treatment of patients with multiple sclerosis (MS) are associated with better outcomes; however, diagnostic delays remain a major problem.

OBJECTIVE

Describe the prevalence, determinants and consequences of delayed diagnoses.

METHODS

This single-centre ambispective study analysed 146 adult relapsing-remitting MS patients (2016-2021) for frequency and determinants of diagnostic delays and their associations with clinical, cognitive, imaging and biochemical measures.

RESULTS

Diagnostic delays were identified in 77 patients (52.7%), including 42 (28.7%) physician-dependent cases and 35 (24.0%) patient-dependent cases. Diagnosis was delayed in 22 (15.1%) patients because of misdiagnosis by a neurologist. A longer diagnostic delay was associated with trends towards greater Expanded Disability Status Scale (EDSS) scores (B = 0.03; p = 0.034) and greater z-score of the blood neurofilament light chain (B = 0.35; p = 0.031) at the time of diagnosis. Compared with patients diagnosed at their first clinical relapse, patients with a history of >1 relapse at diagnosis (n = 63; 43.2%) had a trend towards greater EDSS scores (B = 0.06; p = 0.006) and number of total (B = 0.13; p = 0.040) and periventricular (B = 0.06; p = 0.039) brain lesions.

CONCLUSION

Diagnostic delays in MS are common, often determined by early misdiagnosis and associated with greater disease burden.

Post-marketing safety surveillance of dalfampridine for multiple sclerosis using FDA adverse event reporting system

Objective: To investigate and analyze the post-marketing adverse event (AE) data of multiple sclerosis (MS) therapeutic drug dalfampridine using the US Food and Drug Administration Adverse Event Reporting System (FAERS) for its clinical safety application. Methods: Use OpenVigil2.1 platform to obtain AE data of dalfampridine from FAERS from February 2010 to September 2022. Match "adverse drug reaction" with preferred term (PT) and system organ class (SOC) according to the Medical Dictionary for Regulatory Activities (MedDRA), then merge the same PT and delete non-AE PT. Positive signals were identified by the reporting odds ratio (ROR), proportional reporting ratio (PRR), and Bayesian confidence propagation neural network (BCPNN) methods. When AE signals met the criteria of those three methods, they were identified as positive signals. Results: A total of 44,092 dalfampridine-related AE reports were obtained, and 335 AE signals were identified, including 11,889 AE reports. AEs were more common in females and in the 45-65 age group, which is consistent with the epidemiological characteristics of MS. The 335 AE signals involved 21 SOCs, including investigations, infections and infestations, eye disorders, etc. Among the top 20 PTs in signal strength, 10 were associated with abnormal lymphocyte percentage and count, and 5 were associated with abnormal urine tests, some of which were not described in the instruction, such as spinal cord injury cauda equina, haemoglobin urine present, urinary sediment abnormal and so on. The most frequently reported AE signals were urinary tract infection, dizziness, condition aggravated. In addition, 23 AE signals with death outcomes were identified, with an incidence of less than 0.1%. Conclusion: Data mining of FAERS was conducted to analyze the AEs of dalfampridine, and new AE signals were found. This study provides a reference for the safe use of dalfampridine in the treatment of MS.

Etiology, effects and management of comorbidities in multiple sclerosis: recent advances

Comorbid conditions commonly affect people with multiple sclerosis (MS). Population-based studies indicate that people with MS have an increased incidence of ischemic heart disease, cerebrovascular disease, peripheral vascular disease, and psychiatric disorders as compared to people without MS. People with MS from underrepresented minority and immigrant groups have higher comorbidity burdens. Comorbidities exert effects throughout the disease course, from symptom onset through diagnosis to the end of life. At the individual level, comorbidity is associated with higher relapse rates, greater physical and cognitive impairments, lower health-related quality of life, and increased mortality. At the level of the health system and society, comorbidity is associated with increased health care utilization, costs and work impairment. A nascent literature suggests that MS affects outcomes from comorbidities. Comorbidity management needs to be integrated into MS care, and this would be facilitated by determining optimal models of care.

The impact of menopause on multiple sclerosis

Menopause, defined as the permanent cessation of ovarian function, represents a period of significant fluctuation in sex hormone concentrations. Sex hormones including oestrogen, progesterone, testosterone and anti-Mullerian hormone are thought have neuroinflammatory effects and are implicated in both neuroprotection and neurodegeneration. Sex hormones are thought to have a role in modifying clinical trajectory in multiple sclerosis (MS) throughout the lifespan. Multiple sclerosis predominantly effects women and is typically diagnosed early in a woman's reproductive life. Most women with MS will undergo menopause. Despite this, the effect of menopause on MS disease course remains unclear. This review examines the relationship between sex hormones and MS disease activity and clinical course, particularly around the time of menopause. It will consider the role of interventions such as exogenous hormone replacement therapy in modulating clinical outcomes in this period. Understanding the impact of menopause on multiple sclerosis is fundamental for delivering optimal care to women with MS as they age and will inform treatment decisions with the aim of minimising relapses, disease accrual and improving quality of life.

The economic impact of comorbidity in multiple sclerosis

BACKGROUND

Comorbid conditions are common in people with multiple sclerosis (pwMS). They can delay diagnosis and negatively impact the disease course, progression of disability, therapeutic management, and adherence to treatment.

OBJECTIVE

To quantify the economic impact of comorbidity in multiple sclerosis (MS), based on cost-of-illness estimates made using a bottom-up approach.

METHODS

A retrospective study was carried out in two northern Italian areas. The socio-demographic and clinical information, including comorbidities data, were collected through ad hoc anonymous self-assessment questionnaire while disease costs (direct and indirect costs of disease and loss of productivity) were estimated using a bottom-up approach. Costs were compared between pwMS with and without comorbidity. Adjusted incremental costs associated with comorbidity were reported using generalized linear models with log-link and gamma distributions or two-part models.

RESULTS

51.0% of pwMS had at least one comorbid condition. Hypertension (21.0%), depression (15.7%), and anxiety (11.7%) were the most prevalent. PwMS with comorbidity were more likely to use healthcare resources, such as hospitalizations (OR = 1.21, p < 0.001), tests (OR = 1.59, p < 0.001), and symptomatic drugs and supplements (OR = 1.89, p = 0.012), and to incur non-healthcare costs related to investment (OR = 1.32, p < 0.001), transportation (OR = 1.33, p < 0.001), services (OR = 1.33, p < 0.001), and informal care (OR = 1.43, p = 0.16). Finally, they experienced greater productivity losses (OR = 1.34, p < 0.001) than pwMS without comorbidity. The adjusted incremental annual cost per patient due to comorbidity was €3,106.9 (13% of the overall costs) with MS disability found to exponentially affect annual costs.

CONCLUSION

Comorbidity has health, social, and economic consequences for pwMS.

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.

Cancer related mortality in multiple sclerosis. A population based cohort study

BACKGROUND

Cancer is a major cause of death, but how cancer influences mortality risk in Multiple Sclerosis (MS) is unclear.

OBJECTIVES

Determine all-cause mortality and mortality following a cancer diagnosis among MS patients compared with matched population controls.

METHODS

Norwegian MS patients born 1930 - 1979 (n= 6950) followed-up 1953 - 2016, were matched with 37 922 controls. We compared incident cancer diagnosis from the Cancer Registry of Norway, date of death from the Cause of Death Registry, education from the National Education Database, by multivariate Cox proportional hazard regression.

RESULTS

Hazard ratio (HR) and 95% confidence interval (CI) for all-cause mortality among MS patients was 4.97 (4.64 - 5.33), and 2.61 (2.29 - 2.98) for mortality following a cancer diagnosis. Mortality in MS was highest following urinary- (2.53: 1.55 - 4.14), colorectal- (2.14: 1.47 - 3.11), hematological- (1.76: 1.08 - 2.88), ovarian - 2.30 (1.73-3.06) and breast cancer diagnosis (2.61: 1.85 - 3.68), compared to controls. High education was inversely associated with mortality among MS patients.

CONCLUSIONS

All-cause mortality was five- fold and mortality following a cancer diagnosis was two- fold increased among MS patients. Mortality following specific cancers raises the possibility of diagnostic neglect.

Barriers to exercise and the role of general practitioner: A cross-sectional survey among people with multiple sclerosis

Introduction

Regular exercise is strongly recommended for people with MS (pwMS), but recent studies still describe them as sedentary and insufficiently active. The purpose of this study is to identify the major barriers that prevent pwMS from exercising and underline the importance of the general practitioner (GP) in promoting an active lifestyle.

Materials and methods

We performed a multicenter cross-sectional study using a self-administered questionnaire among pwMS. Data about demographics, the disease, current exercise practice, barriers, previous GP's advice to practice, and motivation were collected.

Results

A total of 741 pwMS (age 55.6 ± 12.5 years, 66% females) completed the survey. Most responders (75.3%) did not practice any exercise. Fatigue was the most limiting factor to attending and/or starting an exercise program, followed by travel and/or moving issues, and the lack of time. Only 25.5% of participants received GP's advice to practice exercise, but 48.6% of them attended an exercise program. A greater likelihood of practice was evidenced for people that received the GP's advice than those who had not received it (OR 2.96; p &lt; 0.001). Finally, among those who did not practice exercise but received advice from GPs, 69 out of 99 (69.7%) were motivated to start an exercise program.

Conclusion

Fatigue and physical issues are the main barriers to exercise for pwMS, but also other factors not related to the disease seem to be relevant, like travel issues and lack of time. Although few participants received advice to exercise from their general practitioner, his role proved effective in encouraging the practice.

The interplay between the gut-brain axis and the microbiome: A perspective on psychiatric and neurodegenerative disorders

What is the effect of our gut microbial flora on brain? Does the gut microbiome have any role in the causation of psychiatric and neurodegenerative diseases? Does the effect of gut microbiota traverse the gut-brain axis? Questions like these have captured the interest and imagination of the scientific community for quite some time now. Research in the quest for answers to these questions, to unravel the potential role of the microbiota inhabiting the gut in controlling brain functions, has progressed manifold over the last two decades. Although the possibility of microbiome as a key susceptibility factor for neurological disorders viz. Parkinson's disease, Alzheimer's disease, multiple sclerosis, and autism spectrum disorder has bolstered by an increase in the clinical and preclinical evidence, the field is still in its infancy. Given the fact that the diversity of the gut microbiota is affected by various factors including the diet and exercise, the interpretation of such data becomes all the more difficult. Also, such studies have been mostly conducted on animal models, so there is a need for randomized controlled trials in human subjects, corroborated by longitudinal studies, to establish if modulating the gut microbiota can unravel novel therapeutic interventions. Exploring the genomic, metagenomic and metabolomic data from clinical subjects with psychiatric and neurological diseases can prove to be a helpful guide in individual treatment selection.

Central vestibular dysfunction: don't forget vestibular rehabilitation

INTRODUCTION

Vestibular rehabilitation (VR) is now a subject of active studies and has been shown to be effective for multiple vestibular disorders, peripheral or central. VR is a physical therapy that helps train the central nervous system to compensate for vestibular dysfunction. There is moderate to strong evidence that VR is safe and effective for the management of peripheral vestibular dysfunction. Nonetheless, the studies on how VR works on central vestibular dysfunction remains scanty.

AREAS COVERED

This article addressed the rehabilitation strategies and possible mechanisms, including how central vestibular function might improve upon rehabilitation. In addition, it provides some examples concerning the effect of VR on central vestibular dysfunction.

EXPERT OPINION

VR works on the vestibular system through repetition of specific physical exercises that activate central neuroplastic mechanisms to achieve adaptive compensation of the impaired functions. VR has become a mainstay in the management of patients with dizziness and balance dysfunction. Individualized VR programs are a safe and effective treatment option for a large percentage of patients with central vestibular disease reporting imbalance and dizziness. Exploration of various treatment strategies and possible mechanisms will help develop the best and personalized VR treatment for patients with central vestibular dysfunction.

Physical and Mental Health Comorbidities Among Adults With Multiple Sclerosis

OBJECTIVE

To compare the incidence of and adjusted hazard ratios for common cardiometabolic diseases, musculoskeletal disorders, and psychological morbidities among adults with and without multiple sclerosis (MS).

PATIENTS AND METHODS

Beneficiaries were included if they had an International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic code for MS (n=9815) from a national private insurance claims database (Clinformatics Data Mart; OptumInsight). Adults without MS were also included (n=1,474,232) as a control group. Incidence estimates of common cardiometabolic diseases, musculoskeletal disorders, and psychological morbidities were compared at 5 years of continuous enrollment. Survival models were used to quantify unadjusted and adjusted hazard ratios for incident morbidities.

RESULTS

Adults with MS had a higher incidence of any common cardiometabolic disease (51.6% [2663 of 5164] vs 36.4% [328,690 of 904,227]), musculoskeletal disorder (68.8% [3411 of 4959] vs 47.5% [512,422 of 1,077,737]), and psychological morbidity (49.4% [3305 of 6691] vs 30.8% [380,893 of 1,235,388]) than adults without MS, and differences were clinically meaningful (all P<.001). Fully adjusted survival models revealed that adults with MS had a greater risk for any (hazard ratio [HR], 1.37; 95% CI, 1.32 to 1.43) and all (HR, 1.19 to 1.48) common cardiometabolic diseases, any (HR, 1.59; 95% CI, 1.53 to 1.64) and all (HR, 1.22 to 2.77) musculoskeletal disorders, and any (HR, 1.57; 95% CI, 1.51 to 1.62) and all (HR, 1.20 to 2.51) but one (impulse control disorders) psychological morbidity.

CONCLUSION

Adults with MS have a significantly higher risk for development of common cardiometabolic diseases, musculoskeletal disorders, and psychological morbidities (all P<.001) than adults without MS. Efforts are needed to facilitate the development of improved clinical screening algorithms and early interventions to reduce risk of chronic physical and mental disease onset/progression in this higher risk population.

Factors driving delayed time to multiple sclerosis diagnosis: Results from a population-based study

BACKGROUND

Multiple sclerosis (MS) is a highly complex chronic inflammatory disease, in which a diagnostic delay could reduce the available therapeutic options. Our aim was to identify factors contributing to diagnostic delay in a MS population living in the municipality of Biancavilla.

METHODS

This retrospective population-based study consecutively selected patients with MS diagnosed from 1992 to 2018 and resident in the city of Biancavilla. Socio-demographic and clinical data were collected through the iMed database. Date of final MS diagnosis was obtained and diagnostic delay was calculated.

RESULTS

A total of 70 patients (66.7% women) were found affected by MS according to the 2011 McDonald criteria in the municipality of Biancavilla in the period between 2005 and 2010. The mean diagnostic delay in the MS cohort of Biancavilla was 33.8 ± 56 months [median 19.5, range 1-315]. The multivariate logistic regression confirmed that age ≥ 40 years, lower educational level (1-5 years) and motor symptoms at onset were associated to longer diagnostic delay.

CONCLUSION

In this population-based study a mean delay of about 30 months occurred between initial symptoms and the MS diagnosis. Older age at onset, lower education level and motor symptoms at onset were associated to longer MS diagnostic delay.

Interface of Multiple Sclerosis, Depression, Vascular Disease, and Mortality: A Population-Based Matched Cohort Study

Background and Objectives

To assess whether the association among depression, vascular disease, and mortality differs in people with multiple sclerosis (MS) compared with age-, sex-, and general practice–matched controls.

Methods

We conducted a population-based retrospective matched cohort study between January 1, 1987, and September 30, 2018, that included people with MS and matched controls without MS from England, stratified by depression status. We used time-varying Cox proportional hazard regression models to test the association among MS, depression, and time to incident vascular disease and mortality. Analyses were also stratified by sex.

Results

We identified 12,251 people with MS and 72,572 matched controls. At baseline, 21% of people with MS and 9% of controls had depression. Compared with matched controls without depression, people with MS had an increased risk of incident vascular disease regardless of whether they had comorbid depression. The 10-year hazard of all-cause mortality was 1.75-fold greater in controls with depression (95% confidence interval [CI] 1.59–1.91), 3.88-fold greater in people with MS without depression (95% CI 3.66–4.10), and 5.43-fold greater in people with MS and depression (95% CI 4.88–5.96). Overall, the interaction between MS status and depression was synergistic, with 14% of the observed effect attributable to the interaction. Sex-stratified analyses confirmed differences in hazard ratios.

Discussion

Depression is associated with increased risks of incident vascular disease and mortality in people with MS, and the effects of depression and MS on all-cause mortality are synergistic. Further studies should evaluate whether effectively treating depression is associated with a reduced risk of vascular disease and mortality.

Assessment of cognitive functions in patients with multiple sclerosis

Background

About 40–70% of patients with multiple sclerosis (MS) develop cognitive impairment (CI) throughout their life. We aim to study the influence of MS on cognitive changes. This is a case–control study of fifty patients with MS who met the revised 2017 Mc Donald Criteria and fifty age- and sex-matched healthy subjects. The Expanded Disability Status Scale (EDSS) was used to assess the degree of disability, and the Montreal Cognitive Assessment (MoCA) scoring system was used to assess cognitive function.

Results

MS patients show low total MoCA score than the controls. Total MoCA scores were lower in patients with CI versus those with intact cognition. CI was higher in those with a longer duration of illness and a high EDSS. MoCA was positively correlated with education level but negatively with EDSS and disease duration.

Conclusion

MoCA scale has optimal psychometric properties for routine clinical use in patients with MS, even in those with mild functional disability. The longer the disease duration and the higher the EDSS, the lower the MoCA score and the higher the education level, the higher the MoCA score. As for the profile of cognitive dysfunction in patients with MS, the domains most frequently failed by the patients were memory, attention, visuospatial learning, and language.

High prevalence of comorbidities at diagnosis in immigrants with multiple sclerosis

Background:

Multiple sclerosis (MS) has been associated with certain comorbidities in general population studies, but it is unknown how comorbidity may affect immigrants with MS.

Objective:

To compare prevalence of comorbidities in immigrants and long-term residents at MS diagnosis, and in matched control populations without MS.

Methods:

We identified incident MS cases using a validated definition applied to health administrative data in Ontario, Canada, from 1994 to 2017, and categorized them as immigrants or long-term residents. Immigrants and long-term residents without MS (controls) were matched to MS cases 3:1 on sex, age, and geography.

Results:

There were 1534 immigrants and 23,731 long-term residents with MS matched with 4585 and 71,193 controls, respectively. Chronic obstructive pulmonary disease (COPD), diabetes, hypertension, ischemic heart disease, migraine, epilepsy, mood/anxiety disorders, schizophrenia, inflammatory bowel disease (IBD), and rheumatoid arthritis were significantly more prevalent among immigrants with MS compared to their controls. Prevalence of these conditions was generally similar comparing immigrants to long-term residents with MS, although COPD, epilepsy, IBD, and mood/anxiety disorders were less prevalent in immigrants.

Conclusion:

Immigrants have a high prevalence of multiple comorbidities at MS diagnosis despite the “healthy immigrant effect.” Clinicians should pay close attention to identification and management of comorbidity in immigrants with MS.

Hypertension and hypertension severity in Hispanics/Latinx with MS

BACKGROUND

Vascular comorbidities (VCs) including hypertension (HTN) are associated with worse multiple sclerosis (MS) outcomes. HTN is common in Latinx, but the prevalence and relationship with disability are unknown in Latinx with MS.

METHODS

Latinx (n = 451) from the Alliance for Research in Hispanic MS (ARHMS) seen between 2007 and 2019 were included. HTN, diabetes (DM), hyperlipidemia (HLD), ischemic events, and smoking were considered VC. Blood pressures (BPs) were classified using the American Heart Association (AHA) criteria. Logistic regression determined associations between VC and ambulatory disability accounting for age, sex, and disease duration.

RESULTS

Medical comorbidities were found in 41.9% and VC in 24.2%. Smoking (13.6%) and HTN (7.3%) were the most common. HTN was the most common over the age of 40 (12.6%). The odds of having severe disability were three times higher for those with HTN (odds ratio [OR], 3.12; 95% confidence interval (CI), 1.37-7.12). Stage II HTN according to AHA also tripled the odds (OR, 2.89; 95%CI, 1.11-7.55). AHA BP confirmed HTN in 27.5% (compared to 7.3% with established diagnosis).

CONCLUSION

HTN diagnosis and stage II HTN defined by AHA were independently associated with severe ambulatory disability in Latinx with MS. HTN was underdiagnosed. Future studies should assess whether HTN treatment control would prevent disability in MS.

Early-Onset Alcohol Dependence and Multiple Sclerosis: Diagnostic Challenges

Multiple sclerosis (MS) is an inflammatory demyelinating disorder characterized by the progressive disruption of the myelin sheath around the nerve fibres. The early initiation of disease-modifying treatments is crucial for preventing disease progression and neurological damage. Unfortunately, a diagnostic delay of several years is not uncommon, particularly in the presence of physical and mental comorbidities. Among psychiatric comorbidities, the role of alcohol misuse is still under debate. In this paper, we discuss a case of early-onset alcohol dependence and its possible role in delaying the initiation of a specific therapy for MS. The differential diagnosis between idiopathic and secondary neurodegenerative disorders is often challenging. When dealing with patients reporting an early-onset substance abuse (likely to present organic damage), clinicians may be prone to formulate a diagnosis of secondary neuropathy, particularly when facing non-specific symptoms. This case report highlights the need for in-depth medical investigations (including imaging) in the presence of neurological signs suggesting a damage of the central nervous system, prompting a differential diagnosis between idiopathic and secondary neurodegenerative conditions. Indeed, a timely diagnosis is crucial for the initiation of specific therapies positively affecting the outcome.

Functional neurological disorder and multiple sclerosis: a systematic review of misdiagnosis and clinical overlap

Multiple sclerosis (MS) and functional neurological disorder (FND) are both diagnostically challenging conditions which can present with similar symptoms. We systematically reviewed the literature to identify patients with MS who were misdiagnosed with FND, patients with FND who were misdiagnosed with MS, and reports of patients with both conditions. In addition to FND, we included studies of patients with other functional and psychiatric disorders where these caused symptoms leading to investigation for or a diagnosis of MS, which in a different context would likely have been labeled as FND. Our review suggests that MS is one of the most common causes of misdiagnosis of FND and vice versa. We discuss the clinical errors that appear to result in misdiagnoses, such as over-reliance on psychiatric comorbidity when making a diagnosis of FND or over-reliance on neuroimaging for the diagnosis of MS, and practical ways to avoid them. Comorbidity between these two conditions is also likely common, has been poorly studied, and adds complexity to diagnosis and treatment in patients with both MS and FND. Misdiagnosis and comorbidity in a landscape of emerging evidence-based treatments for both MS and FND are issues not only of clinical importance to the care of these patients, but also to treatment trials, especially of MS, where FND could be a hidden confounder.

Interferon beta 1a (Rebif®) in relapsing remitting multiple sclerosis

Multiple sclerosis (MS) is an autoimmune neurodegenerative disease that affects the central nervous system. It is the second cause of neurological disability in young adults. The exact cause of the disease remains unknown and there is no curative treatment. It is imperative to evaluate the efficacy of newest, biotechnological products modifying the disease. This study was designed to evaluate the use of interferon beta 1a (Rebif®) in patients with relapsing remitting MS treated at International Center for Neurological Restoration. Thirty-one patients with relapsing remitting MS, between 10 and 65 years of age, four males and 27 females, were treated with Rebif® three times per week during 1 year. The safety of the treatment was evaluated based on the adverse events and the efficacy based on the disability scale score, the number of attacks and the number of lesions at magnetic resonance imaging (MRI). The public clinical trial is registered in Cuba (Number B-10-030-L03). Adverse effects occurred in 75% of the cases, but they were mild. A significant reduction in the number of attacks, the disability scale score and the number of lesions at MRI were observed in patients with relapsing remitting MS treated with Rebif®. The use of interferon beta 1a showed safety and efficacy in the treatment of patients with relapsing remitting MS.

Multiple sclerosis and aging: comorbidity and treatment challenges

BACKGROUND

The prevalence of elderly patients with MS is increasing, in conjunction with the ageing general population. This review will examine the principal characteristics of elderly patients with MS and how the concomitant pathologies affect them. Finally, it will assess the impact of the medications on these patients and whether it would be safe to discontinue the disease-modifying treatment.

METHODS

Searches using PubMed were conducted in October 2020 to collect studies assessing the impact of age and comorbidities on patients with MS.

RESULTS

Several studies showed that aged patients develop concomitant pathologies that could worsen the disease's prognosis. Also, MS itself may be closely related to cognitive impairment, even though the exact etiopathogenic mechanism of it is still unclear. To date, safety and efficacy of currently available drugs remain unassessed in elderly populations. These treatments may not be beneficial in preventing the progression of disability in ageing people with no signs of inflammatory activity, and discontinuation of treatment is often discussed in this subgroup of patients.

CONCLUSIONS

The presence of cardiovascular pathology, psychiatric disorders, diabetes or cancer is further associated with increased mortality in MS patients. The diagnosis and treatment of the disease is challenged by both age-related comorbidities and clinical variations compared to younger patients. It may be safe to discontinue treatment in elderly patients with no clinico-radiological activity.

Delayed diagnosis of multiple sclerosis in a low prevalence country

Background: Early diagnosis and treatment of multiple sclerosis (MS) is crucial to avoid future disability. The factors that influence diagnostic delay in low prevalence settings have been poorly studied.Objectives: To evaluate the factors associated with a delayed diagnosis of MS after the symptomatic onset.Methods: Clinical records of confirmed MS patients were reviewed. Diagnostic delay was calculated by subtracting the date of onset from the date of diagnosis and categorized as early and delayed, when below and above than 1 year. Logistic regression was performed to evaluate the likelihood of a delayed diagnosis according to age at first symptom, gender, type of the first symptom, progressive vs relapsing onset, diagnostic criteria prevailing at the time of symptom onset, comorbidities, and family history of MS.Results: Data of 525 (95.6%) from a cohort of 549 patients were analyzed. About 69.1% were women. The mean age was 43.2 years. About 86.3% had relapsing-remitting MS. The mean overall diagnostic delay was 3.07 years. About 45.7% of the patients had a delayed diagnosis, and it was dependent on the symptom and the diagnostic criteria prevailing at the onset. Multivariate logistic regression showed onset during the Schumacher (OR = 10.03 [95%CI 1.30-77.1], p = 0.027) and Poser (OR = 4.26 [95%CI 1.25-15.15], p = 0.021) years were associated with delayed MS diagnosis.Conclusions: MS onset before the McDonald diagnostic criteria era is associated with delayed diagnosis.

Integration of the Extreme Gradient Boosting model with electronic health records to enable the early diagnosis of multiple sclerosis

BACKGROUND

Delayed multiple sclerosis (MS) diagnoses are not uncommon, an early diagnostic tool is urgently warranted. We aimed to develop an effective tool through electronic health records and machine learning techniques to early recognize MS patients from hospital visitors in China.

METHODS

Two case sets were collected from January 2016 to December 2018. The training set had 239 MS and 1142 controls, and the test set had 23 MS and 92 controls. The utility of Extreme Gradient Boosting (XGBoost), Random Forest (RF), Naive Bayes, K-nearest-neighbor (KNN) and Support Vector Machine (SVM) in early diagnosis of MS was evaluated by the area under curve of receiver operating characteristic, precision, recall, specificity, accuracy and F1 score.

RESULTS

The XGBoost performed the best and was used to generate the results. Thirty-four variables which were highly relevant to MS diagnosis were set for the XGBoost model, and their relative importance with MS were ranked. The training set recall was 0.632, with a precision of 0.576, and the test set recall was 0.609, with a precision of 0.609. Our study found that 61%, 51%, and 49% of the patients could be diagnosed with MS, 1, 2, and 3 years earlier than their real diagnostic time point, respectively.

CONCLUSIONS

A diagnostic tool for early MS recognition based on the XGBoost model and electronic health records were developed to help reduce diagnostic delays in MS.

Effects of Comorbid Fibromyalgia Syndrome on activities of daily living in multiple sclerosis patients

OBJECTIVE

To investigate the frequency of Comorbid Fibromyalgia Syndrome and its effects on quality of life and activities of daily living without any known psychiatric problem (schizophrenia or bipolar disorder) or severe disability, other than depression, in patients with multiple sclerosis, which is known to be a chronic disease in young adults.

METHODS

The study included 103 patients diagnosed with multiple sclerosis, following McDonald criteria, who had relapsing remitting disease. The Fibromyalgia Impact Questionnaire, Beck Anxiety Inventory, Beck Depression Inventory, Pittsburgh Sleep Quality Index, Fatigue Severity Scale, and Multiple Sclerosis Quality of Life-54 were applied for all patients. Results were analyzed using statistical methods.

RESULTS

Mean age was 35.04±8.72 years in the study population. The Expanded Disability Status Scale (EDSS) score was 2.21±0.93. Comorbid Fibromyalgia Syndrome was detected in 20 patients (19.4%). The mean score of Multiple Sclerosis Quality of Life-54 was found to be significantly higher in multiple sclerosis patients with Comorbid Fibromyalgia Syndrome when compared to those without it (34.80±9.14 versus 71.67±13.95; p<0.05).

CONCLUSION

These results indicate that increased frequency of Comorbid Fibromyalgia Syndrome in multiple sclerosis causes worsening in activities of daily living and quality of life, delayed diagnosis, disability progression, and increased admission rates. Questioning and appropriately managing Comorbid Fibromyalgia Syndrome in clinical practice are important to improve the quality of life in multiple sclerosis patients.