Value contribution of blood-based neurofilament light chain as a biomarker in multiple sclerosis using multi-criteria decision analysis.

Introduction: Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease that represents a leading cause of non-traumatic disability among young and middle-aged adults. MS is characterized by neurodegeneration caused by axonal injury. Current clinical and radiological markers often lack the sensitivity and specificity required to detect inflammatory activity and neurodegeneration, highlighting the need for better approaches. After neuronal injury, neurofilament light chains (NfL) are released into the cerebrospinal fluid, and eventually into blood. Thus, blood-based NfL could be used as a potential biomarker for inflammatory activity, neurodegeneration, and treatment response in MS. The objective of this study was to determine the value contribution of blood-based NfL as a biomarker in MS in Spain using the Multi-Criteria Decision Analysis (MCDA) methodology. Materials and methods: A literature review was performed, and the results were synthesized in the evidence matrix following the criteria included in the MCDA framework. The study was conducted by a multidisciplinary group of six experts. Participants were trained in MCDA and scored the evidence matrix. Results were analyzed and discussed in a group meeting through reflective MCDA discussion methodology. Results: MS was considered a severe condition as it is associated with significant disability. There are unmet needs in MS as a disease, but also in terms of biomarkers since no blood biomarker is available in clinical practice to determine disease activity, prognostic assessment, and response to treatment. The results of the present study suggest that quantification of blood-based NfL may represent a safe option to determine inflammation, neurodegeneration, and response to treatments in clinical practice, as well as to complement data to improve the sensitivity of the diagnosis. Participants considered that blood-based NfL could result in a lower use of expensive tests such as magnetic resonance imaging scans and could provide cost-savings by avoiding ineffective treatments. Lower indirect costs could also be expected due to a lower impact of disability consequences. Overall, blood-based NfL measurement is supported by high-quality evidence. Conclusion: Based on MCDA methodology and the experience of a multidisciplinary group of six stakeholders, blood-based NfL measurement might represent a high-value-option for the management of MS in Spain.

Traumatic brain injury, race, ethnicity and cognition in newly diagnosed persons with multiple sclerosis.

We sought to determine whether a history of traumatic brain injury (TBI) could explain the lower symbol digit modalities test (SDMT) scores observed among newly diagnosed multiple sclerosis (MS) and control participants identifying as Black or Hispanic versus white in the MS Sunshine Study (n = 1172). 330 (29.2 %) participants reported a history of ≥1 TBI. Accounting for TBI did not explain the significant independent associations between having MS, being Black or Hispanic and lower SDMT. The pervasive effects of systemic racism in the United States remain the best explanation for the lower SDMT scores observed in Black and Hispanic participants.

Passive assessment of tapping speed through smartphone is useful for monitoring multiple sclerosis.

INTRODUCTION: Continuously acquired smartphone keyboard interactions may be useful to monitor progression in multiple sclerosis (MS). We aimed to study the correlation between tapping speed (TS), measured as keys/s, and baseline disability scales in patients with MS. METHODS: Single-center prospective study in patients with MS. We passively assessed TS during first week, measured by an "in house" smartphone application. Reliability was assessed by intraclass correlation coefficient (ICC). Correlations between median and maximum keys/s of first week of assessment and baseline disability measures were explored. RESULTS: One-hundred three patients were included: 62.1 % women, with a median (IQR) age of 47 (40.4-54.8) years-old and an EDSS score of 3.0 (2.0-4.0). Distribution by MS subtypes was: 77.7 % relapsing-remitting MS (RRMS), 17.5 % secondary-progressive MS (SPMS) and 4.9 % primary-progressive MS (PPMS). ICC during first week was 0.714 (p < 0.00001). Both median and maximum keys/s showed a negative correlation with Expanded Disability Status Score, 9-hole peg test and timed 25-foot walk and a positive correlation with Processing Speed Test CogEval® raw and Z-score. Median and maximum keys/s were lower in patients diagnosed with SPMS than in RRMS. Both measures of tapping speed were associated with MS phenotype independently of age. CONCLUSION: TS measured through our application is reliable and correlates with baseline disability scales.

Sample Entropy Improves Assessment of Postural Control in Early-Stage Multiple Sclerosis.

Postural impairment in people with multiple sclerosis (pwMS) is an early indicator of disease progression. Common measures of disease assessment are not sensitive to early-stage MS. Sample entropy (SE) may better identify early impairments. We compared the sensitivity and specificity of SE with linear measurements, differentiating pwMS (EDSS 0-4) from healthy controls (HC). 58 pwMS (EDSS ≤ 4) and 23 HC performed quiet standing tasks, combining a hard or foam surface with eyes open or eyes closed as a condition. Sway was recorded at the sternum and lumbar spine. Linear measures, mediolateral acceleration range with eyes open, mediolateral jerk with eyes closed, and SE in the anteroposterior and mediolateral directions were calculated. A multivariate ANOVA and AUC-ROC were used to determine between-groups differences and discriminative ability, respectively. Mild MS (EDSS ≤ 2.0) discriminability was secondarily assessed. Significantly lower SE was observed under most conditions in pwMS compared to HC, except for lumbar and sternum SE when on a hard surface with eyes closed and in the anteroposterior direction, which also offered the strongest discriminability (AUC = 0.747), even for mild MS. Overall, between-groups differences were task-dependent, and SE (anteroposterior, hard surface, eyes closed) was the best pwMS classifier. SE may prove a useful tool to detect subtle MS progression and intervention effectiveness.

Validation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) in individuals with multiple sclerosis from Mexico.

BACKGROUND: Cognitive impairment is observed in 43-70 % of Multiple sclerosis (MS) patients. One of the most widely used batteries for cognitive assessment in this population is the Brief International Cognitive Assessment for MS (BICAMS). The objective of this study was to validate and assess the reliability of the BICAMS in a Mexican population with MS and to obtain and provide regression-based norms. METHODS: One hundred healthy controls (HCs) and 100 patients with multiple sclerosis participated in the present study, and groups were matched for age, years of education and sex. Subjects completed all three tests of the BICAMS. Test-retest measures were obtained from 30 patients to test reliability. RESULTS: The sample´s average age was 43.39 ± 6.03 years old, and the average years of education was 12.55 ± 2.52 years. Approximately 63 % of the participants were female. The groups did not differ in age, years of education, or sex. The MS group performed significantly worse than the HCs group on all three neuropsychological tests. A significant difference was observed for the SDMT (t = 10.166; p=<0.001), CVLT-II (t = 10.949; p=<0.001), and BVMT-R (t = 2.636; p = 0.009). For all comparisons, the effect size (d) for each test was calculated as follows: SDMT= 0.58 and CVLT-II= 0.61. The test-retest coefficients for each test were as follows: SDMT: r = 0.95; CVLT-II: r = 0.84; and BVMT-R = 0.81. CONCLUSION: The BICAMS can provide information on cognitive impairment in MS patients, and this information can be used by neuropsychologists for cognitive rehabilitation in different domains.

Agreement between video-based clinician-rated tools and patient-reported outcomes on gait assessment in individuals with multiple sclerosis.

PURPOSE: To our knowledge, no studies compared the video-clinician-based tools and patient-reported questionnaires in assessing gait and balance in people with MS (pwMS). The present study investigated the correlation and agreement between video-clinician-based objective measurement tools and patient-reported outcome measures (PROMs) in gait and balance evaluation. METHODS: A prospective cross-sectional study was conducted with 55 pwMS. Video analysis-based gait was evaluated by the Tinetti Gait Assessment (TGA), Gait Assessment and Intervention Tool (GAIT), and Functional Ambulation Classification Scale (FACS) by the clinician. Participants' self-reported gait and balance were assessed with the Multiple Sclerosis Walking Scale-12 (MSWS-12) and Activity-Specific Balance Confidence Scale (ABC). RESULTS: There was a moderate positive correlation between ABC with TGA and FACS (r1: 0.552, r2: 0.510, p < 0.001). ABC was strongly correlated with GAIT (r: - 0.652, p < 0.001). A moderate positive correlation was observed between MSWS-12 with TGA and FACS (r1: - 0.575, r2: - 0.524, p < 0.001). In addition, there was a strong positive correlation between MSWS-12 and GAIT (r: - 0.652, p < 0.001). Clinician-rated tools and PROMs were within the agreement limits regarding the unstandardized beta values p < 0.001). CONCLUSIONS: Clinician-based gait and balance tools demonstrate consistent results with PROMs in pwMS. Considering the low cost and practical use of PROMs, in cases where video-based clinician-based measurements cannot be provided (time, space, and technical inadequacies), questionnaires can provide concordant results at moderate and severe levels compared with objective tools.

The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment.

BACKGROUND: The Nine-Hole Peg Test (9HPT) is the golden standard to measure manual dexterity in people with multiple sclerosis (MS). However, administration requires trained personnel and dedicated time during a clinical visit. OBJECTIVES: The objective of this study is to validate a smartphone-based test for remote manual dexterity assessment, the icompanion Finger Dexterity Test (FDT), to be included into the icompanion application. METHODS: A total of 65 MS and 81 healthy subjects were tested, and 20 healthy subjects were retested 2 weeks later. RESULTS: The FDT significantly correlated with the 9HPT (dominant: ρ = 0.62, p < 0.001; non-dominant: ρ = 0.52, p < 0.001). MS subjects had significantly higher FDT scores than healthy subjects (dominant: p = 0.015; non-dominant: p = 0.013), which was not the case for the 9HPT. A significant correlation with age (dominant: ρ = 0.46, p < 0.001; non-dominant: ρ = 0.40, p = 0.002), Expanded Disability Status Scale (EDSS, dominant: ρ = 0.36, p = 0.005; non-dominant: ρ = 0.31, p = 0.024), and disease duration for the non-dominant hand (ρ = 0.31, p = 0.016) was observed. There was a good test-retest reliability in healthy subjects (dominant: r = 0.69, p = 0.001; non-dominant: r = 0.87, p < 0.001). CONCLUSIONS: The icompanion FDT shows a moderate-to-good concurrent validity and test-retest reliability, differentiates between the MS subjects and healthy controls, and correlates with clinical parameters. This test can be implemented into routine MS care for remote follow-up of manual dexterity.

Reliability and validity of the Arabic version of brief international cognitive assessment for multiple sclerosis in Egyptian pediatric multiple sclerosis patients.

BACKGROUND & OBJECTIVES: About one-third of pediatric-onset MS (POMS) patients report cognitive impairment. This case-control study aimed to assess the reliability and validity of the Arabic version of the Brief International Cognitive Assessment for MS (BICAMS) in Egyptian POMS patients. METHODS: A case-control study was conducted on 30 POMS patients aged 9 to 17 years old and 30 healthy controls. Both groups underwent the following tests: neuropsychological testing using the BICAMS-validated Arabic version battery involving the Symbol Digit Modality Test (SDMT), California Verbal Learning Test 2nd edition (CVLT-II) and revised Brief Visuospatial Retention Test (BVRT-R). Test-retest data were obtained from MS patients and controls 2 weeks following the primary evaluation. Mean variances between both groups were evaluated, controlling for age, gender, and educational level. RESULTS: MS patients scored significantly lower on the SDMT, CVLT-II, and BVMT-R tests than healthy controls (P-value <0.001). Test-retest reliability was satisfactory for SDMT, CVLT-II total, and BVRT-R in MS patients and controls with r values of 0.73, 0.83, and 0.80, respectively. CONCLUSION: BICAMS is a feasible approach to cognitive screening in POMS and adults. The Arabic version of BICAMS is a reliable and valid tool for the cognitive assessment of pediatric MS patients in different clinical and research settings.

Smartphone-based gait assessment for multiple sclerosis.

INTRODUCTION: Multiple Sclerosis causes gait alteration, even in the early stages of the disease. Traditional methods to quantify gait impairment, such as performance-based measures, lab-based motion analyses, and self-report, have limited ecological relevance. The Mon4t® app is a digital tool that uses sensors embedded in standard smartphones to measure various gait parameters. OBJECTIVES: To evaluate the use of Mon4t® technology in monitoring MS patients. METHODS: 100 MS patients and age-matched healthy controls were evaluated using both a human rater and the Mon4t Clinic™ app. Three motor tasks were performed: 3m Timed up and go test (TUG), 10m TUG, and tandem walk. The digital markers were used to compare MS vs. HC, MS with EDSS=0 vs. HC, and MS with EDSS=0 vs. MS with EDSS>0. Within the MS EDSS>0 group, correlations between digital gait markers and the EDSS score were calculated. RESULTS: Significant differences were found between MS patients and HC in multiple gait parameters. When comparing MS patients with minimal disability (EDSS=0) and HC: On the 3m TUG task, MS patients took longer to complete the task (mean difference 0.167seconds, p =0.034), took more steps (mean difference 1.32 steps, p =0.003), and had a weaker ML step-to-step correlation (mean difference 0.1, p = 0.001). The combination of features from the three motor tasks allowed distinguishing a nondisabled MS patient from a HC with high confidence (AUC of 85.65 on the ROC). When comparing MS patients with minimal disability (EDSS=0) to those with higher disability (EDSS>0): On the tandem walk task, patients with EDSS>0 took significantly longer to complete 10 steps than those with EDSS=0 (mean difference 4.63 seconds, p < 0.001), showed greater ML sway (mean difference 0.2, p < 0.001), and had larger angular velocity in the SI axis on average (mean difference 2.31 degrees/sec, p = 0.01). A classification model achieved 81.79 ROC AUC. In the subgroup of patients with EDSS>0, gait features significantly correlated with EDSS score in all three tasks. CONCLUSION: The findings demonstrate the potential of digital gait assessment to augment traditional disease monitoring and support clinical decision making. The Mon4t® app provides a convenient and ecologically relevant tool for monitoring MS patients and detecting early changes in gait impairment.

Initial validation of the university of Alabama Birmingham study of aging life-space assessment in older adults with multiple sclerosis.

BACKGROUND: Older adults with multiple sclerosis (OAMS) have declines in walking and physical performance that may erode community mobility defined as the spatial extent of mobility in one's daily life and environment. OBJECTIVE: This study provided the first application and validation of the University of Alabama Birmingham Study of Aging Life-Space Assessment (UAB LSA) as a measure of community mobility in OAMS. METHODS: The sample included 97 OAMS and 108 healthy controls (HCs) who completed baseline assessments as part of an ongoing, longitudinal study. The primary assessments included the UAB LSA and timed 25-foot walk (T25FW), short physical performance battery (SPPB), global health score (GHS), and geriatric depression scale (GDS) in both OAMS and HCs, and patient determined disease steps (PDDS) scale in only OAMS. RESULTS: OAMS had significantly lower UAB LSA scores than HCs (p < .001). UAB LSA scores had strong correlations with T25FW(rs = -.641) and SPPB(rs = 0.507) in OAMS, and moderate correlations in HCs (rs = -.300 & rs = 0.384). The correlations between UAB LSA and GHS and GDS scores were significant, but small in OAMS (rs = -.239 & rs = -.231), and not statistically significant in HCs (rs = -.009 & rs = -.166). There was a strong correlation between UAB LSA and PDDS scores in the OAMS sample (rs = -.605). CONCLUSION: We provided initial evidence for UAB LSA scores as a measure of community mobility in OAMS.

[Assessment of compliance and patient pathway among multiple sclerosis patients on disease modifying treatment]. / Compliance- és betegútvizsgálat betegségmódosító kezelés alatt álló sclerosis multiplexes betegeknél.

Background and purpose:

Epidemiological data and the number of patients treated suggest that the proportion of Hungarian patients with Multiple Sclerosis (MS) receiving disease-modifying therapy (DMT) is lower than in some neighboring countries. We investigated possible reasons for this.

First we analysed patient compliance based on an anonymised database of the National Health Insurance Fund (NHIF). A total of 5441 patients were included in the analysis from NHIF prescription data from 1 July 2014 to 28 February 2021. In the second part of the study, a quantitative and qualitative assessment of patient journeys of MS patients was conducted. 

The compliance of Hungarian MS patients is good compared to international MS treatment data and outstanding compared to other neurological and other diseases, e.g. cardiovascular. This cannot be said about the results of the patient pathway analysis based on patient interviews. Patients indicated that they often have difficulty accessing public health care. Tracing their pathways revealed that they needed to see 3-5 doctors (general practitioner, various specialists) before a diagnosis was made. However, they gave positive feedback about MS Centres. They trusted their doctors, found them empathetic, but they would have liked more time to discuss lifestyle issues.

Compared to some neighbou­ring countries, Hungary has a lower proportion of patients with treated MS, which, given the good compliance of patients, highlights the problem of patient path in Hungary. Further training of fellow physicians is also a task for neurologists specialising in MS. Just as the most common symptoms of stroke have been successfully introduced into the public consciousness, the same can be the aim for MS.

Is it cost-effective to request IgM oligoclonal bands against lipids in daily practice as a biomarker for poor prognosis in multiple sclerosis?

BACKGROUND: various prognostic factors of multiple sclerosis have been identified, including demographic, clinical, radiological, and laboratory factors. The aim was to analyze whether the presence of IgM oligoclonal bands against lipids is associated with disease progression. METHODS: an individual-based, prospective, observational study was conducted at the Neurology Department of Hospital Universitari i Politècnic la Fe. Clinical, radiological, and laboratory variables were collected. Data analysis was divided into a descriptive phase and a subsequent analytical phase. RESULTS: a total of 116 patients were included. 81.9% of them had IgM oligoclonal bands against lipids, with phosphatidylcholine being the predominant type. A higher proportion of patients with IgM oligoclonal bands against lipids required treatment with a disease-modifying drug, started treatment at an earlier stage, showed poorer results in functional tests, and exhibited a higher increase in lesion burden, although these differences were not statistically significant. CONCLUSIONS: In our study, the presence of IgM oligoclonal bands against lipids was not found to be associated with other poor prognostic variables.

Predictive value of α-synuclein expression in peripheral blood of multiple sclerosis patients: A two-dimensional assessment of a selected biomarker.

INTRODUCTION: Our study aimed to evaluate whether assessing α-synuclein expression levels in blood samples could provide a reliable and straightforward alternative to existing diagnostic and prognostic methods for neurodegenerative disorders, including multiple sclerosis (MS). We specifically investigated if α-synuclein and IL-6 expression levels from serum and peripheral blood mononuclear cells (PBMCs) could accurately predict MS severity in patients using a two-dimensional approach. METHODS: We designed a case-control study to analyze the expression of α-synuclein and IL-6 in the peripheral blood of an MS patient group (n = 51) and a control group (n = 51). We statistically evaluated the PBMCs and serum profiles of α-synuclein and IL-6 in MS patients, along with their age of onset, disease duration, tobacco exposure, and Expanded Disability Status Scale (EDSS) score, using SPSS V22.0 software and GraphPad Prism V9.0. RESULTS: Our findings indicate that α-synuclein production was significantly downregulated in MS patients. Principal component analysis also revealed distinct profiles between MS patients and controls. PBMCs and serum profiles of α-synuclein correlated with the EDSS score, suggesting that disease severity can be predicted using α-synuclein profiles. Moreover, α-synuclein showed a significant correlation with IL-6 and age of onset. Lastly, receiver operating characteristic curves of PBMCs and serum activity of α-synuclein profiles displayed discrimination with area under the curve values of 0.856 and 0.705, respectively. CONCLUSION: Our results imply that measuring α-synuclein levels in both serum and PBMCs could be a valuable method for diagnosing and predicting MS severity, potentially serving as a non-invasive biomarker for the disease.

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

BACKGROUND AND OBJECTIVES: Recent data suggest increasing global prevalence of multiple sclerosis (MS). Early diagnosis of MS reduces the burden of disability-adjusted life years and associated health care costs. Yet diagnostic delays persist in MS care and even within national health care systems with robust resources, comprehensive registries, and MS subspecialist referral networks. The global prevalence and characteristics of barriers to expedited MS diagnosis, particularly in resource-restricted regions, have not been extensively studied. Recent revisions to MS diagnostic criteria demonstrate potential to facilitate earlier diagnosis, but global implementation remains largely unknown. METHODS: The Multiple Sclerosis International Federation third edition of the Atlas of MS was a survey that assessed the current global state of diagnosis including adoption of MS diagnostic criteria; barriers to diagnosis with respect to the patient, health care provider, and health system; and existence of national guidelines or national standards for speed of MS diagnosis. RESULTS: Coordinators from 107 countries (representing approximately 82% of the world population), participated. Eighty-three percent reported at least 1 "major barrier" to early MS diagnosis. The most frequently reported barriers included the following: "lack of awareness of MS symptoms among general public" (68%), "lack of awareness of MS symptoms among health care professionals" (59%), and "lack of availability of health care professionals with knowledge to diagnose MS" (44%). One-third reported lack of "specialist medical equipment or diagnostic tests." Thirty-four percent reported the use of only 2017 McDonald criteria (McD-C) for diagnosis, and 79% reported 2017 McD-C as the "most commonly used criteria." Sixty-six percent reported at least 1 barrier to the adoption of 2017 McD-C, including "neurologists lack awareness or training" by 45%. There was no significant association between national guidelines pertaining to MS diagnosis or practice standards addressing the speed of diagnosis and presence of barriers to early MS diagnosis and implementation of 2017 McD-C. DISCUSSION: This study finds pervasive consistent global barriers to early diagnosis of MS. While these barriers reflected a lack of resources in many countries, data also suggest that interventions designed to develop and implement accessible education and training can provide cost-effective opportunities to improve access to early MS diagnosis.

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.

Personalized longitudinal disease assessment is central to quickly diagnosing, appropriately managing, and optimally adapting the therapeutic strategy of multiple sclerosis (MS). It is also important for identifying idiosyncratic subject-specific disease profiles. Here, we design a novel longitudinal model to map individual disease trajectories in an automated way using smartphone sensor data that may contain missing values. First, we collect digital measurements related to gait and balance, and upper extremity functions using sensor-based assessments administered on a smartphone. Next, we treat missing data via imputation. We then discover potential markers of MS by employing a generalized estimation equation. Subsequently, parameters learned from multiple training datasets are ensembled to form a simple, unified longitudinal predictive model to forecast MS over time in previously unseen people with MS. To mitigate potential underestimation for individuals with severe disease scores, the final model incorporates additional subject-specific fine-tuning using data from the first day. The results show that the proposed model is promising to achieve personalized longitudinal MS assessment; they also suggest that features related to gait and balance as well as upper extremity function, remotely collected from sensor-based assessments, may be useful digital markers for predicting MS over time.