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In 2001, the German Multiple Sclerosis Society, facing lack of data, founded the German MS Registry (GMSR) as a long-term data repository for MS healthcare research. By the establishment of a network of participating neurological centres of different healthcare sectors across Germany, GMSR provides observational real-world data on long-term disease progression, sociodemographic factors, treatment and the healthcare status of people with MS. This paper aims to illustrate the framework of the GMSR. Structure, design and data quality processes as well as collaborations of the GMSR are presented. The registry’s dataset, status and results are discussed. As of 08 January 2021, 187 centres from different healthcare sectors participate in the GMSR. Following its infrastructure and dataset specification upgrades in 2014, more than 196,000 visits have been recorded relating to more than 33,000 persons with MS (PwMS). The GMSR enables monitoring of PwMS in Germany, supports scientific research projects, and collaborates with national and international MS data repositories and initiatives. With its recent pharmacovigilance extension, it aligns with EMA recommendations and helps to ensure early detection of therapy-related safety signals.

Investigating low-prevalence diseases such as multiple sclerosis is challenging because of the rather small number of individuals affected by this disease and the scattering of real-world data across numerous data sources. These obstacles impair data integration, standardization, and analysis, which negatively impact the generation of significant meaningful clinical evidence. This study aims to present a comprehensive, research question-agnostic, multistakeholder-driven end-to-end data analysis pipeline that accommodates 3 prevalent data-sharing streams: individual data sharing, core data set sharing, and federated model sharing. A demand-driven methodology is employed for standardization, followed by 3 streams of data acquisition, a data quality enhancement process, a data integration procedure, and a concluding analysis stage to fulfill real-world data-sharing requirements. This pipeline's effectiveness was demonstrated through its successful implementation in the COVID-19 and multiple sclerosis global data sharing initiative. The global data sharing initiative yielded multiple scientific publications and provided extensive worldwide guidance for the community with multiple sclerosis. The pipeline facilitated gathering pertinent data from various sources, accommodating distinct sharing streams and assimilating them into a unified data set for subsequent statistical analysis or secure data examination. This pipeline contributed to the assembly of the largest data set of people with multiple sclerosis infected with COVID-19. The proposed data analysis pipeline exemplifies the potential of global stakeholder collaboration and underlines the significance of evidence-based decision-making. It serves as a paradigm for how data sharing initiatives can propel advancements in health care, emphasizing its adaptability and capacity to address diverse research inquiries.

Background People with Multiple Sclerosis (PwMS) suffer from an increased risk of unemployment during the course of the disease. In recent years progress has been made in increasing the time until patients have to leave the workforce permanently. Such a retirement is often associated with MS but the driving factors including disability progression, support measures at the workplace, and societal aspects are not yet fully understood. Methods We consolidated data from four European MS databases from Germany, Poland, Sweden, and the United Kingdom, which were able to provide data on working status, disability progression and quality of life in accordance with the data harmonization framework of the EUReMS (European Registry in Multiple Sclerosis) project. Results Factors strongly associated with unemployment are disability progression, low quality of life and being close to the statutory retirement age. Overall, highest employment rate (77%) and lowest effects of gender and disease duration were found in Sweden. Conclusions We found remarkable differences between the European registers and the countries studied, which may indicate inequalities at European level. Furthermore, our findings suggest that it is feasible and useful to combine data from different MS registers in Europe, albeit the data structures are heterogeneous.

ObjectivesSome disease-modifying therapies (DMTs) have been associated with COVID-19 severity in people with MS. Comprehensive exploration of these relationships in large international samples is needed.MethodsClinician-reported demographic/clinical data from 27 countries were aggregated into a dataset of 5,648 patients with suspected/confirmed COVID-19. COVID-19 severity outcomes (hospitalisation, admission to ICU, requiring artificial ventilation, death) assessed using multilevel mixed-effect ordered probit and logistic regression, adjusted for age, sex, disability, and MS phenotype. DMTs were compared to glatiramer acetate, dimethyl fumarate, pooled other DMTs, and natalizumab.ResultsOf 5,648 patients (83.4% confirmed COVID-19) were included. Compared to glatiramer acetate, ocrelizumab and rituximab were associated with higher probability of hospitalisation (4%(95%CI=1–7) & 7%(95%CI=4–11)), ICU/artificial ventilation (2%(95%CI=0–4) & 4%(95%CI=2–6)), and death (1%(95%CI=0–2) & 2%(95%CI=1–4)) [predicted marginal effects]. Untreated patients had 5%(95%CI=2–8), 3%(95%CI=1–5), and 1%(95%CI=0–3) higher probabilities of the three respective levels of COVID-19 severity than glatiramer acetate. Compared to pooled other DMTs and to natalizumab, the associations of ocrelizumab and rituximab with COVID-19 severity were also more pronounced. Evaluation of interferon associations with COVID-19 severity found these only apparent in comparison with the untreated but not vs individual or pooled other DMTs. All associations persisted/enhanced on restriction to confirmed COVID-19.ConclusionsAnalysing the largest international real-world dataset of people with MS with suspected/confirmed COVID-19 confirms that the use of anti-CD20 medication (both ocrelizumab and rituximab) are associated with more severe course of COVID-19, while interferon-based DMTs have no intrinsic protective benefit from other treatment.