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

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.

Isolated cranial nerve disorder as presenting sign in multiple sclerosis: optic nerve versus "the others"

Background

The prevalence of cranial nerve involvement in Multiple Sclerosis (MS) varies across studies. It has been speculated that first presentation of disease with cranial nerve involvement - except for optic neuritis - may be associated with milder progression.

Aim

This study compares the clinical outcome of patients with MS in a 4-year follow-up of patients with initial symptoms of optic neuritis (ON) versus those with other cranial nerve (OCN) involvement.

Materials and methods

Retrospective analysis of MS patient database of a tertiary referral university MS center. We included treatment-naïve patients diagnosed with MS according to the revised McDonald criteria, who presented with their first clinical symptoms suggestive of ON or OCN. Patients were required to have regular clinical and radiological follow-up visits (at least two outpatient visits per year and one annual 1.5T MRI), and no comorbidities. The number of relapses and the Expanded Disability Status Scale (EDSS) scores were assessed at six-month intervals during clinic visits. The primary outcome was the number of relapses observed during the study period, comparing the ON and OCN groups. Several statistical analyses were performed, including multiple linear regression, Cox proportional hazards model, one-way ANOVA, and odds ratios, to compare the groups.

Results

Of the 84 patients included, none had comorbities (e.g., overlap with other inflammatory diseases, neoplasm etc.). Fifty-five presented with ON and 29 with OCN (e.g., diplopia, trigeminal pain, hearing or vestibular symptoms) at onset. Patients with ON were younger than those with OCN symptoms (p = 0.02), had a higher risk of relapse (more than two relapses) (OR: 1.53) and greater disability (incremental EDSS) over the 4-year follow-up (OR: 1.60).

Conclusion

Patients with OCN involvement at the onset experienced fewer relapses and had better EDSS scores at the 4-year follow-up compared to those with ON at onset. These preliminary findings suggest that MS onset with OCN involvement may be associated with a more favorable disease course.

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.

High-Field-Blinded Assessment of Portable Ultra-Low-Field Brain MRI for Multiple Sclerosis

BACKGROUND AND PURPOSE

MRI is crucial for multiple sclerosis (MS), but the relative value of portable ultra-low field MRI (pULF-MRI), a technology that holds promise for extending access to MRI, is unknown. We assessed white matter lesion (WML) detection on pULF-MRI compared to high-field MRI (HF-MRI), focusing on blinded assessments, assessor self-training, and multiplanar acquisitions.

METHODS

Fifty-five adults with MS underwent pULF-MRI following their HF-MRI. Two neuroradiologists independently assessed pULF-MRI images in an evaluation process, including initial assessment blinded to HF-MRI, self-training with reference to HF-MRI and evaluation of 20 cases with additional T2-fluid-attenuated inversion recovery in an additional plane. A third rater conducted cross-referenced analysis with HF-MRI data to determine true-positive lesions, false-positive areas, and case-level sensitivity and positive predictive value.

RESULTS

The mean age of participants was 50 years (standard deviation: 11; 74% women). Initially, Rater 2 marked more false-positive areas than Rater 1 (p = 0.003). After self-training, both raters embraced a conservative approach, with Rater 2 marking fewer false-positive areas (p = 0.01). Both raters maintained 100% case-level sensitivity and positive predictive value for detecting at least one WML, particularly in periventricular areas. Multiplanar acquisitions reduced both false-positive areas and true-positive lesions. True-positive lesions and false-positive areas had similar contrast-to-noise ratios in the juxtacortical region (p = 0.73) but not in periventricular, deep parenchymal regions (p = 0.004, p = 0.01).

CONCLUSION

With adequate training, radiological interpretation of pULF-MRI has high sensitivity and positive predictive value for MS lesions but should be approached conservatively. These results suggest utility for patient triage, potentially reducing diagnostic delay, and screening high-risk individuals.

Time between the first symptom, diagnosis and treatment of multiple sclerosis in a Brazilian cohort. The impact of early diagnosis

INTRODUCTION

Multiple Sclerosis (MS) diagnosis can be challenging, especially in populations where the disease is rare. In Brazil, the average prevalence is 14/100,000 inhabitants, lower than the worldwide. Early treatment initiation can markedly reduce disease activity and accumulation of disability. Therefore, delayed diagnosis and access to disease modifying therapy (DMT) can have a negative impact on the course of MS.

OBJECTIVES

The aim of this study was to estimate the mean time between the first relapse, the diagnosis of MS and initiation of treatment in a cohort of Brazilian MS patients.

MATERIAL AND METHOD

We retrospectively analyzed the medical records of MS patients who met the 2017 McDonald diagnostic criteria followed in a MS reference center in Belo Horizonte, Minas Gerais. We assessed demographic and clinical data with focus on time to first symptom, time to diagnosis and treatment begging. The last Expanded Disability Status Scale (EDSS) was collected to access disability. The program GraphPad Prism 8.4.3. was used for the statistical analysis.

RESULTS

Data of 66 patients were analyzed, 77 % (51) were women. The mean age of the first symptom, diagnosis and DMT initiation was, respectively, 30,06 (± 12,43), 35,2 (± 13,59) and 36,10 (± 13,89) years. In 32 (46,38 %) patients the diagnosis was early (<1 year of disease), in 18 (26,09 %) between 1 and 5 years and in 19 (27,54 %) after to five years. Once the diagnosis was established, 65,5 % had access to DMT within 6 months and 79,71 % in the first year. Patients with diagnosis in the two first years had their first symptom at a younger age (p < 0.05). Comparing these two groups, patients with an earlier diagnosis presented less disability (EDSS: 3,5 vs 1,5; p < 0.05).

CONCLUSION

MS diagnosis can be challenging especially in low prevalence population of diseased and developing countries. Our study demonstrated the importance of early recognition of MS and its precocious intervention, impacting in reducing of disability a long term.

Diagnostic potential of blood-based biomarkers in multiple sclerosis

Multiple sclerosis (MS) is a chronic inflammatory disease affecting the central nervous system (CNS). There is a significant delay in diagnosing MS as the symptoms and tests overlap with other diseases. Blood-based biomarkers, which quantify fragments of proteins involved in MS pathophysiology, have the potential as diagnostic biomarkers. In this study, we evaluated biomarkers by immunoassays, of tissue destruction, reflected by biglycan degraded by matrix metalloproteinases (MMPs) (BGM), cathepsin S-degraded nidogen (NIC), and MMP-degraded secreted protein acidic and rich in cysteine (SPARC-M) in healthy donors and patients diagnosed with MS. The biomarkers were able to separate the two groups with an AUC = 0.710, AUC = 0.765, and AUC = 0.875, respectively. These pathologically released protein fragments could potentially be used as biomarkers in clinical management providing a specific protein fingerprint.

Investigating the influence of oral contraceptive pill use on multiple sclerosis risk using UK Biobank data

OBJECTIVE

To investigate the association between oral contraceptive (OC) pill use and the risk of developing multiple sclerosis (MS), attempting to address the limitations present in previous studies that produced conflicting results.

DESIGN

A population-based cohort study using data from the UK Biobank.

PATIENTS

The study included 181,058 women of white ethnicity born in England between 1937 and 1970, among which 1,131 had an MS diagnosis.

INTERVENTION

Oral contraceptive use, considering the self-reported age of initiation and discontinuation. The exposures of interest include the following: ever-use, current use, duration of current use in years, and age and year at initiation.

MAIN OUTCOME MEASURES

Multiple sclerosis diagnosis (International Classification of Disease, 10th revision: G35) was used as an outcome of interest, and the associations with the exposures of interest were investigated using marginal structural models with a time-to-event approach. To adjust for confounding, we included in the models several variables, including MS polygenic risk score, education level, parity, smoking, fertility problems, obesity, and mononucleosis. We further aimed to evaluate the influence of parity using a mediation analysis.

RESULTS

The association of both ever and current OC use did not result in a statistically significant MS hazard increase (ever vs. never-users, hazard ratio [HR] = 1.30 [95% confidence interval {CI}: 0.93,1.82]; current vs. never-users, HR = 1.35 [95% CI: 0.81, 2.25]). However, we highlighted parity as an effect modifier for this association. In nulliparous women, ever and current use resulted in a significant twofold and threefold MS hazard increase (HR = 2.08 [95% CI: 1.04, 4.17] and HR = 3.15 [95% CI: 1.43, 6.9]). These associations were supported by significant MS hazard increases for a higher duration of current use and for an earlier age at initiation. We further highlighted genetic MS susceptibility as another effect modifier, as a stronger OC-MS hazard association was found in women with a low MS polygenic risk score.

CONCLUSION

Our findings highlighted how the association between OC use and MS varies on the basis of individual characteristics such as parity and genetic MS susceptibility. Importantly, current use in nulliparous women was found to be associated with a threefold increase in MS hazard. We acknowledge the need for cautious causal interpretation and further research to validate these findings across diverse populations and OC types.

MS brain health quality standards: a survey on the reality in clinical practice in Germany

BACKGROUND

The quality of treatment is especially critical in the context of complex and chronic diseases such as multiple sclerosis (MS). The Brain Health Initiative, an independent international consortium of neurologists, reached a consensus on time-based quality standards prioritizing brain health-focused care for people with MS.

OBJECTIVES

To gain deeper insights into the transferability of these quality standards to a specific area, we conducted a survey among MS experts across various MS centers in Germany.

METHODS

Participants were asked about time frames considered high standards and those currently being implemented in daily routine based on their experience.

RESULTS

The results reveal a large gap between ideal conceptions and their adaptation in the real world, mostly due to a lack of resources.

CONCLUSIONS

Nevertheless, these guidelines and recommendations can be aspired to as ideals. Consensual and inclusive clinical pathways complemented by measurable quality indicators are needed to improve care and approach these ideals. Neither exists in the current management of MS.

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.

The association between multiple sclerosis and early psychiatric background

BACKGROUND

The exact cause of Multiple Sclerosis (MS) is unclear. Since its definition in the late 19th century, researchers have repeatedly suggested a connection between the disease and mental state. Studies have shown that mental symptoms tend to precede the initiation of the disease by up to ten years. However, the hypothesis that psychiatric issues might precede MS onset by longer periods has not been empirically established. This study seeks to fill this research gap. The current matched cohort study investigated the possibility that psychiatric conditions may precede the initiation of multiple sclerosis by 15 years or more METHODS: A retrospective analysis utilizing the electronic database of Clalit Health Services (CHS), Israel's largest HMO, compared a group of 9,533 MS-diagnosed female and male individuals with 28,599 non-MS matched controls RESULTS: Logistic regression analysis revealed a significant association (p < 0.001) between MS diagnosis and prior psychiatric conditions, indicating a 93% increased likelihood of psychiatric history among those later diagnosed with MS compared with those who were not CONCLUSIONS: The heightened probability of mental health issues preceding the onset of MS by extended durations suggests a potential etiological role in the development of MS, rather than solely representing a component of the prodromal stage of the disease. Limitations include the retrospective design and the need for prospective studies to validate these associations.

The diagnostic workup of children with the radiologically isolated syndrome differs by age and by sex

BACKGROUND

Cerebrospinal fluid (CSF) and spinal MRIs are often obtained in children with the radiologically isolated syndrome (RIS) for diagnosis and prognosis. Factors affecting the frequency and timing of these tests are unknown.

OBJECTIVE

To determine whether age or sex were associated with (1) having CSF or spinal MRI obtained or (2) the timing of these tests.

METHODS

We analyzed children (≤ 18 y) with RIS enrolled in an international longitudinal study. Index scans met 2010/2017 multiple sclerosis (MS) MRI criteria for dissemination in space (DIS). We used Fisher's exact test and multivariable logistic regression (covariates = age, sex, MRI date, MRI indication, 2005 MRI DIS criteria met, and race).

RESULTS

We included 103 children with RIS (67% girls, median age = 14.9 y). Children ≥ 12 y were more likely than children < 12 y to have CSF obtained (58% vs. 21%, adjusted odds ratio [AOR] = 4.9, p = 0.03). Pre-2017, girls were more likely than boys to have CSF obtained (n = 70, 79% vs. 52%, AOR = 4.6, p = 0.01), but not more recently (n = 30, 75% vs. 80%, AOR = 0.2, p = 0.1; p = 0.004 for interaction). Spinal MRIs were obtained sooner in children ≥ 12 y (median 11d vs. 159d, p = 0.03).

CONCLUSIONS

Younger children with RIS may be at continued risk for misdiagnosis and misclassification of MS risk. Consensus guidelines are needed.

Prevalence and incidence of multiple sclerosis in Turkey: A nationwide epidemiologic study

BACKGROUND

Many studies on multiple sclerosis (MS) reveal different prevalence and epidemiologic results.

OBJECTIVES

In this study, we aimed to determine the epidemiologic profile of MS using official health records in Turkey.

METHODS

Patients diagnosed with MS from the official health data of the Ministry of Health, representing the entire population of Turkey, were included in the study. Prevalence and incidence calculations were performed using the data on gender, age, year of birth, city of residence, and year of diagnosis.

RESULTS

As a result of the study, the number of patients with the ICD code G35 was determined as 201,061 and the number of patients with this code entered at least three times was determined as 82,225. The prevalence of MS in Turkey was calculated as 96.4 per 100,000 and the female/male ratio as 2.1/1. The incidence of MS in 2022 was 6.2 per 100,000 and the mean patient age was 43.1 ± 13.3 years (female: 43.0 ± 13.1 vs male: 43.2 ± 13.7) while the mean age at first diagnosis was 34.0 ± 13.0 (female: 33.6 ± 12.6 vs male: 34.9 ± 13.7).

CONCLUSION

The research was conducted via Official Database of Turkey, which includes population of 85 million and provides valuable insights into the prevalence and incidence rates of this chronic disease.

The Clinical Nurse Practitioner's Essential Role in Early Diagnosis and Management of Multiple Sclerosis in Europe: A Consensus Report

Timely diagnosis of multiple sclerosis (MS) is a challenge due to factors such as prompt identification of symptoms and consequent delays in hospital visits and treatment initiation. In part to address this challenge, an expert scientific advisory panel of clinical nurse practitioners (CNPs) from different European nations was convened by Viatris on October 25, 2022, in Amsterdam, the Netherlands. This meeting was an interactive discussion to understand the role of clinical nurse practitioners in MS management. The objectives were to (1) understand the current delays in MS diagnosis from the perspective of expert CNPs; (2) determine the role of the CNP in MS management; and (3) identify the opportunities to improve accessibility, foster collaboration among stakeholders, and promote initiatives to educate people with MS. The recommendations of the panel underline the multidimensional role of CNPs in the management of MS at all stages. Health care stakeholders need to work together to achieve better access to treatment regimens and facilitate outcomes in the management of MS through shared decision-making and follow-ups. Further exploration of the role of CNPs in the management of MS, as well as recommendations for early diagnosis, will help both general practitioners and specialists better manage MS care.

The consequences of delayed diagnosis and treatment in persons with multiple sclerosis given autologous hematopoietic stem cell transplantation

OBJECTIVES

We have analyzed the association of delayed both diagnosis and treatment of persons with MS with the long-term results of patients given autologous hematopoietic stem cell transplantation (aHSCT).

METHODS

Patients with MS referred to the HSCT-Mexico program were included in the study; in 103, detailed pre- and post-transplant evolution could be recorded. Two groups of patients were analyzed according to the time of evolution between the onset of symptoms and the definite diagnosis of MS: more than 8 months (delayed diagnosis, DD), or less than 8 months (non-delayed diagnosis, NDD). The progression of MS was assessed by changes in the expanded disability status scale (EDSS).

RESULTS

The time elapsed between the onset of symptoms and the correct diagnosis was lower for the NDD group (1.55 vs. 35.87 months, p<0.05). Both groups of patients showed a similar EDSS score at diagnosis (1.5 vs. 1.5); however, the EDSS at the time of the transplant was higher in the DD group (4.5 vs. 3.0, p=0.3) and the response of the EDSS score to the transplant was significantly better for the NDD group, the last EDSS scores being 2.5 vs. 4.25 (p=0.03). Both groups of patients responded to aHSCT by diminishing the EDSS, but the response was significantly better in the NDD group.

CONCLUSIONS

These data indicate that both the pre-transplant progression of the disease and the response to aHSCT were significantly worse in the DD group. An early diagnosis and an early aHSCT intervention are critical for a good prognosis, in terms of lowering and stabilizing the motor disability in MS patients given autografts.

Time interval between the onset of symptoms and diagnosis of multiple sclerosis and the influential factors: A national registry-based study

OBJECTIVE

The time to diagnosis of multiple sclerosis (MS) is of great importance for early treatment, thereby reducing the disability and burden of the disease. The purpose of this study was to determine the time from the onset of clinical symptoms to the diagnosis of MS and to evaluate the factors associated with a late diagnosis in Iranian MS patients.

METHODS

The present cross-sectional study was conducted on patients with MS who were registered in the National MS Registry System of Iran (NMSRI).

RESULTS

Overall, 23291 MS patients registered in 18 provinces of Iran were included in this study. The mean (standard deviation) interval between the onset of the disease and diagnosis of MS was 13.42 (32.40) months, and the median was one month. The diagnostic interval of 41.6% of patients was less than one month, and 14.8% of them had a one-month time to diagnosis. Patients with an age of onset below 18 years and those diagnosed after the age of 50 years had a longer time to diagnosis (P<0.001). Patients with primary progressive MS (PPMS) had the longest time to diagnose and those with relapsing-remitting MS (RRMS) had the shortest time (P<0.001). The results of negative binominal regression showed that the average rate of delay in diagnosis in women was 12% less than that in men. The average delay in diagnosis in patients with a positive family history of MS was 23% more than that in others. The rate of delay in the diagnosis of patients with PPMS and secondary progressive MS was 2.22 and 1.66 times higher, respectively, compared with RRMS.

CONCLUSION

The findings of the present study revealed that more than half of the MS patients were diagnosed within a one-month interval from the symptom onset, which is an acceptable period. More attention should be paid to patients' access to medical facilities and MS specialists.

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

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

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 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.

Predictors of treatment switching in the Big Multiple Sclerosis Data Network

Background

Treatment switching is a common challenge and opportunity in real-world clinical practice. Increasing diversity in disease-modifying treatments (DMTs) has generated interest in the identification of reliable and robust predictors of treatment switching across different countries, DMTs, and time periods.

Objective

The objective of this retrospective, observational study was to identify independent predictors of treatment switching in a population of relapsing-remitting MS (RRMS) patients in the Big Multiple Sclerosis Data Network of national clinical registries, including the Italian MS registry, the OFSEP of France, the Danish MS registry, the Swedish national MS registry, and the international MSBase Registry.

Methods

In this cohort study, we merged information on 269,822 treatment episodes in 110,326 patients from 1997 to 2018 from five clinical registries. Patients were included in the final pooled analysis set if they had initiated at least one DMT during the relapsing-remitting MS (RRMS) stage. Patients not diagnosed with RRMS or RRMS patients not initiating DMT therapy during the RRMS phase were excluded from the analysis. The primary study outcome was treatment switching. A multilevel mixed-effects shared frailty time-to-event model was used to identify independent predictors of treatment switching. The contributing MS registry was included in the pooled analysis as a random effect.

Results

Every one-point increase in the Expanded Disability Status Scale (EDSS) score at treatment start was associated with 1.08 times the rate of subsequent switching, adjusting for age, sex, and calendar year (adjusted hazard ratio [aHR] 1.08; 95% CI 1.07-1.08). Women were associated with 1.11 times the rate of switching relative to men (95% CI 1.08-1.14), whilst older age was also associated with an increased rate of treatment switching. DMTs started between 2007 and 2012 were associated with 2.48 times the rate of switching relative to DMTs that began between 1996 and 2006 (aHR 2.48; 95% CI 2.48-2.56). DMTs started from 2013 onwards were more likely to switch relative to the earlier treatment epoch (aHR 8.09; 95% CI 7.79-8.41; reference = 1996-2006).

Conclusion

Switching between DMTs is associated with female sex, age, and disability at baseline and has increased in frequency considerably in recent years as more treatment options have become available. Consideration of a patient's individual risk and tolerance profile needs to be taken into account when selecting the most appropriate switch therapy from an expanding array of treatment choices.

Radiological features of late-onset multiple sclerosis: A systematic review and meta-analysis

BACKGROUND

Late-onset multiple sclerosis (LOMS) is most commonly defined as the onset of the disease's presentations at age 50 or older. There is still much to discover about the radiological features of LOMS. The current study aims to assess the imaging features of LOMS, as well as the correlation between these findings and the clinical characteristics of these patients.

METHOD

This study was conducted following the PRISMA statement. A systematic search was conducted through PubMed, Scopus, and EMBASE databases to identify the studies that have applied magnetic-resonance imaging (MRI) or other imaging methods to investigate the radiological findings, as well as the relationship between them and clinical findings of LOMS patients. The risk of bias was assessed using the Joanna Briggs Institute (JBI) checklists. Meta-analysis was conducted using the third version of the compressive meta-analysis software (CMA3).

RESULTS

Our search identified 753 unique titles. Among them, 15 studies, including seven case-control, five case-series, and three cross-sectional studies, met the eligibility criteria. According to the quantitative synthesis, brain lesions were detected among 72.2% of LOMS patients (4 studies; 95% CI: 67.0% - 93.1%). In the context of spinal lesions, overall spinal cord involvement was 64.0% (8 studies; 95% CI: 42.5% - 81.1%). Based on the available evidence, supratentorial involvement was found in 82.7% of cases (3 studies; 95% CI: 17.4% - 99.1%), juxtacortical involvement in 34.1% (3 studies; 95% CI: 26.4% - 42.7%), infratentorial involvement in 51.3% (4 studies; 95% CI: 32.1% - 70.1%), and cerebellar involvement in 18.5% (3 studies; 95% CI: 13.9% - 24.1%).

CONCLUSION

Based on the neuroimaging findings, we found that, given the heterogeneity of MS, LOMS patients have a high rate of spinal cord lesions and supratentorial involvement. The limited available evidence suggests that Barkhof criteria are the best compromise for the diagnosis of LOMS. There is still a need for future studies.

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.

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.

Neuropsychiatric Status of Patients With Multiple Sclerosis Across Disease Duration Intervals

OBJECTIVES

The neuropsychiatric sequelae of multiple sclerosis (MS) are important predictors of morbidity and mortality. The authors examined how symptoms of depression, anxiety, fatigue, subjective cognitive impairment, and objective cognitive dysfunction varied with disease duration. They also explored changes in the use of disease-modifying therapies, psychotropic medications, and psychotherapies in relation to disease duration.

METHODS

A retrospective sample of 464 people with MS was stratified into three groups based on disease duration: <5 years (N=129), 5-10 years (N=101), and >10 years (N=234). Symptoms of depression and anxiety were recorded with the Hospital Anxiety and Depression Scale (HADS); fatigue, with the five-item version of the Modified Fatigue Impact Scale (MFIS-5); subjective cognitive impairment, with the five-item version of the Perceived Deficits Questionnaire (PDQ-5); and cognition, with the Minimal Assessment of Cognitive Function in MS (MACFIMS).

RESULTS

There were between-group differences in anxiety symptoms (p<0.01) and degree of cognitive impairment (p=0.03), but there were no differences in depressive symptoms, fatigue, or subjective cognitive difficulties. Anxiety was higher during the first 5 years after diagnosis, and cognitive dysfunction was higher when assessed more than 10 years after diagnosis. With longer disease duration, a greater proportion of participants received psychotropic medications (p<0.01), and lower proportions received disease-modifying therapies (p<0.01) or psychotherapies (p<0.01).

CONCLUSIONS

Findings indicated that rates of some neuropsychiatric symptoms, such as anxiety and cognitive dysfunction, may shift with disease duration, whereas other symptoms, such as fatigue and depression, may not. These findings highlight the importance of closely monitoring the mental state of people with MS over time.

Early Diagnosis of Multiple Sclerosis Using Swept-Source Optical Coherence Tomography and Convolutional Neural Networks Trained with Data Augmentation

BACKGROUND

The aim of this paper is to implement a system to facilitate the diagnosis of multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network (CNN) to classify images captured with swept-source optical coherence tomography (SS-OCT).

METHODS

SS-OCT images from 48 control subjects and 48 recently diagnosed MS patients have been used. These images show the thicknesses (45 × 60 points) of the following structures: complete retina, retinal nerve fiber layer, two ganglion cell layers (GCL+, GCL++) and choroid. The Cohen distance is used to identify the structures and the regions within them with greatest discriminant capacity. The original database of OCT images is augmented by a deep convolutional generative adversarial network to expand the CNN's training set.

RESULTS

The retinal structures with greatest discriminant capacity are the GCL++ (44.99% of image points), complete retina (26.71%) and GCL+ (22.93%). Thresholding these images and using them as inputs to a CNN comprising two convolution modules and one classification module obtains sensitivity = specificity = 1.0.

CONCLUSIONS

Feature pre-selection and the use of a convolutional neural network may be a promising, nonharmful, low-cost, easy-to-perform and effective means of assisting the early diagnosis of MS based on SS-OCT thickness data.