There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in CSF are being used in clinical practice. One of the most critical factors in CSF biomarker research is the inadequate powering of studies because of the lack of sufficient samples that can be obtained in single-center studies. Therefore, collaboration between investigators is needed to establish large biobanks of well-defined samples. Standardized protocols for biobanking are a prerequisite to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by preanalytical factors. Here, a consensus report on recommendations for CSF collection and biobanking is presented, formed by the BioMS-eu network for CSF biomarker research in multiple sclerosis. We focus on CSF collection procedures, preanalytical factors, and high-quality clinical and paraclinical information. The biobanking protocols are applicable for CSF biobanks for research targeting any neurologic disease.
Background:People with multiple sclerosis (MS) are a vulnerable group for severe COVID- 19, particularly those taking immunosuppressive disease-modifying therapies (DMTs). We examined the characteristics of COVID-19 severity in an international sample of people with MS.Methods:Data from 12 data-sources in 28 countries were aggregated (sources could include patients from 1-12 countries). Demographic (age, sex), clinical (MS-phenotype, disability), and DMT (untreated, alemtuzumab, cladribine, dimethyl-fumarate, glatiramer acetate, interferon, natalizumab, ocrelizumab, rituximab, siponimod, other DMTs) covariates were queried, alongside COVID-19 severity outcomes, hospitalisation, ICU admission, requiring artificial ventilation, and death. Characteristics of outcomes were assessed in patients with suspected/confirmed COVID-19 using multilevel mixed-effects logistic regression, adjusted for age, sex, MS-phenotype, and EDSS.Results:657(28.1%) with suspected and 1,683(61.9%) with confirmed COVID-19 were analysed. Among suspected+confirmed and confirmed-only COVID-19, 20.9% and 26.9% were hospitalised, 5.4% and 7.2% were admitted to ICU, 4.1% and 5.4% required artificial ventilation, and 3.2% and 3.9% died. Older age, progressive MS-phenotype, and higher disability were associated with worse COVID-19 outcomes. Compared to dimethyl-fumarate, ocrelizumab and rituximab were associated with hospitalisation (aOR=1.56,95%CI=1.01- 2.41; aOR=2.43,95%CI=1.48-4.02) and ICU admission (aOR=2.30,95%CI=0.98-5.39;aOR=3.93,95%CI=1.56-9.89), though only rituximab was associated with higher risk of artificial ventilation (aOR=4.00,95%CI=1.54-10.39). Compared to pooled other DMTs, ocrelizumab and rituximab were associated with hospitalisation (aOR=1.75,95%CI=1.29- 2.38; aOR=2.76,95%CI=1.87-4.07) and ICU admission (aOR=2.55,95%CI=1.49-4.36;aOR=4.32,95%CI=2.27-8.23) but only rituximab with artificial ventilation (aOR=6.15,95%CI=3.09-12.27). Compared to natalizumab, ocrelizumab and rituximab wereassociated with hospitalisation (aOR=1.86,95%CI=1.13-3.07; aOR=2.88,95%CI=1.68-4.92) and ICU admission (aOR=2.13,95%CI=0.85-5.35; aOR=3.23,95%CI=1.17-8.91), but only rituximab with ventilation (aOR=5.52,95%CI=1.71-17.84). Importantly, associations persisted on restriction to confirmed COVID-19 cases. No associations were observed between DMTs and death. Stratification by age, MS-phenotype, and EDSS found no indications that DMT associations with COVID-19 severity reflected differential DMT allocation by underlying COVID-19 severity.Conclusions:Using the largest cohort of people with MS and COVID-19 available, we demonstrated consistent associations of rituximab with increased risk of hospitalisation, ICU admission, and requiring artificial ventilation, and ocrelizumab with hospitalisation and ICU admission. Despite the study’s cross-sectional design, the internal and external consistency of these results with prior studies suggests rituximab/ocrelizumab use may be a risk factor for more severe COVID-19.
An association between multiple sclerosis (MS) and the human leukocyte antigen (HLA) complex, a dense cluster of genes on the short arm of chromosome 6, was first noted over 30 years ago. In Caucasian populations of Northern European descent, the DR15 haplotype (DRB1*1501-DQA1*0102-DQB1*0602) has been hypothesized to be the primary HLA genetic susceptibility factor for MS. However, studies of other populations have produced varying results. Thus, the authors reviewed the literature for articles on the association between the DR15 haplotype and MS. They identified 72 papers meeting the inclusion criteria: human genetic studies written in English that were published between 1993 and 2004 and that reported allele frequencies for HLA-DRB1*1501, HLA-DQA1*0102, or HLA-DQB1*0602 or the frequency of the DRB1*1501-DQA1*0102-DQB1*0602 haplotype. Most of the studies identified used a case-control design (n = 60), while the remainder used a family-based design (n = 22). In most of these papers, investigators reported a higher frequency of the DR15 haplotype and/or its component alleles among MS cases than among controls. However, the authors' confidence in these results is tempered by factors related to study design that may have biased the outcomes.
There are situations in which the requirement to obtain conventional written informed consent can impose significant or even insurmountable barriers to conducting pragmatic clinical research, including some comparative effectiveness studies and cluster-randomized trials. Although certain federal regulations governing research in the United States (45 CFR 46) define circumstances in which any of the required elements may be waived, the same standards apply regardless of whether any single element is to be waived or whether consent is to be waived in its entirety. Using the same threshold for a partial or complete waiver limits the options available to IRBs as they seek to optimize a consent process. In this article, we argue that new standards are necessary in order to enable important pragmatic clinical research while at the same time protecting patients’ rights and interests.
There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in cerebrospinal fluid (CSF) are being used in clinical practice. Anti-aquaporin-4 antibodies in serum are currently useful for the diagnosis of neuromyelitis optica (NMO), but we could expect novel CSF biomarkers that help define prognosis and response to treatment for this disease. One of the most critical factors in biomarker research is the inadequate powering of studies performed by single centers. Collaboration between investigators is needed to establish large biobanks of well-defined samples. A key issue in collaboration is to establish standardized protocols for biobanking to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by pre-analytical factors. Here, consensus guidelines for CSF collection and biobanking are presented, based on the guidelines that have been published by the BioMS-eu network for CSF biomarker research. We focussed on CSF collection procedures, pre-analytical factors and high quality clinical and paraclinical information. Importantly, the biobanking protocols are applicable for CSF biobanks for research targeting any neurological disease.
Background: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS.
Background: People with multiple sclerosis (PwMS) experienced changes in health behaviors and access to MS care due to the COVID-19 pandemic. The USA has the highest recognized number of Covid19 infections globally. The extent of the impact of COVID-19 has not been well characterized in large samples of PwMS to date. The MS patient perspective on COVID-19 would complement the physician-reported cases of MS and COVID-19 in the literature. Methods: A cross-sectional survey of adult PwMS was performed online, using the U.S.-based patient-powered iConquerMS™ platform, in April 2020. Results: There were 1,145 respondents (response rate: 20%). 1,019 had a diagnosis of MS and responded completely (average age: 54.2 years, range: 20-81; 79% female; 64% relapsing remitting, 22% secondary progressive, 12% primary progressive; 88% in the USA). 748 (73%) used a DMT in the last year, primarily higherefficacy therapies: ocrelizumab (n=238), dimethyl fumarate (n=85), fingolimod (n=80). The most frequent comorbidities were depression (41%), hypertension (26%), and asthma (12%). Women were more worried than men about COVID-19 (p=0.001); non-white-identifying PwMS believed it was a greater danger to their health than white-identifying PwMS (p=0.002). Through the continuum of symptoms to care, 61% of PwMS (n=617) reported symptoms associated with COVID-19, 39% (n=395) knew someone exposed to COVID-19, 4% (n=38) were aware of a personal COVID-19 exposure, 13% (n=128) wanted testing for COVID-19 but could not access it, and 4% (n=43) were tested. Specific to their MS care, 64% (n=650) canceled a medical visit, 22% (n=222) canceled a neurologist visit, 11% (n=112) canceled an MRI, 21% (n=212) canceled a laboratory test, and 10% (n=98) changed their DMT in some way due to COVID19 including 65 delaying at least one dose. 37% (n=382) had a telehealth visit due to COVID-19. 37% of PwMS (n=374) experienced employment changes, most commonly working from home (n=194) and having work hours reduced (n=65) while 32 lost their jobs. Of the 7 cases who tested positive for COVID-19 (<1% of participants) (5 female; age range: 29-64 years), DMTs included dimethyl fumarate (n=2), ocrelizumab (n=1), rituximab (n=1), and a clinical trial drug (n=1). Conclusions: A majority of people with MS reported interruptions to their MS care along the MS care pathway alongside limited access to COVID-19 testing. Postponements and delays in care were common with 10% of participants reporting a change in their DMT administration. Less than 1% of this self-referred convenience online cohort had a positive test for COVID-19 although more than half reported symptoms that are associated with COVID-19. Organization, 2020) By mid-April, SARS-CoV-2 was detected in 185 countries, had infected at least 19 million people worldwide, and linked to >700,000 deaths. (Johns Hopkins University, 2020) Multiple sclerosis (MS) affects more than three-quarters of a million adults in the U.S.A. People with MS (PwMS) on higher efficacy disease modifying therapies (DMTs) may be at an incr...
Background: People with multiple sclerosis (MS) are a vulnerable group for severe COVID-19, particularly those taking immunosuppressive disease-modifying therapies (DMTs). We examined the characteristics of COVID-19 severity in an international sample of people with MS. Methods: Data from 12 data-sources in 28 countries were aggregated. Demographic and clinical covariates were queried, alongside COVID-19 clinical severity outcomes, hospitalisation, admission to ICU, requiring artificial ventilation, and death. Characteristics of outcomes were assessed in patients with suspected/confirmed COVID-19 using multilevel mixed-effects logistic regression. Results: 657 (28.1%) with suspected and 1,683 (61.9%) with confirmed COVID-19 were analysed. Older age, progressive MS-phenotype, and higher disability were associated with worse COVID-19 outcomes. Compared to dimethyl fumarate, ocrelizumab and rituximab were associated with hospitalisation (aOR=1.56,95%CI=1.01-2.41; aOR=2.43,95%CI=1.48-4.02) and ICU admission (aOR=2.30,95%CI=0.98-5.39; aOR=3.93,95%CI=1.56-9.89), though only rituximab was associated with higher risk of artificial ventilation (aOR=4.00,95%CI=1.54-10.39). Compared to pooled other DMTs, ocrelizumab and rituximab were associated with hospitalisation (aOR=1.75,95%CI=1.29-2.38; aOR=2.76,95%CI=1.87-4.07) and ICU admission (aOR=2.55,95%CI=1.49-4.36; aOR=4.32,95%CI=2.27-8.23) but only rituximab with artificial ventilation (aOR=6.15,95%CI=3.09-12.27). Compared to natalizumab, ocrelizumab and rituximab were associated with hospitalisation (aOR=1.86,95%CI=1.13-3.07; aOR=2.88,95%CI=1.68-4.92) and ICU admission (aOR=2.13,95%CI=0.85-5.35; aOR=3.23,95%CI=1.17-8.91), but only rituximab with ventilation (aOR=5.52,95%CI=1.71-17.84). Importantly, associations persisted on restriction to confirmed COVID-19 cases. No associations were observed between DMTs and death. Conclusions: Using the largest cohort of people with MS and COVID-19 available, we demonstrated consistent associations of rituximab with increased risk of hospitalisation, ICU admission, and requiring artificial ventilation, and ocrelizumab with hospitalisation and ICU admission, suggesting their use may be a risk factor for more severe COVID-19.
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