Objective To implement a dynamic data management and control framework that meets the multiple demands of high data quality, rigorous information technology security, and flexibility to continuously incorporate new methodology for a large disease registry. Materials and Methods Guided by relevant sections of the COBIT framework and ISO 27001 standard, we created a data control framework supporting high-quality real-world data (RWD) studies in multiple disease areas. We first mapped and described the entire data journey and identified potential risks for data loss or inconsistencies. Based on this map, we implemented a control framework adhering to best practices and tested its effectiveness through an analysis of random data samples. An internal strategy board was set up to regularly identify and implement potential improvements. Results We herein describe the implementation of a data management and control framework for multiple sclerosis, one disease area in the NeuroTransData (NTD) registry that exemplifies the dynamic needs for high-quality RWD analysis. Regular manual and automated analysis of random data samples at multiple checkpoints guided the development and implementation of the framework and continue to ensure timely identification of potential threats to data accuracy. Discussion and conclusions High-quality RWD, especially those derived from long-term disease registries, are of increasing importance from regulatory and reimbursement perspectives, requiring owners to provide data of comparable quality to clinical trials. The framework presented herein responds to the call for transparency in real-world analyses and allows doctors and patients to experience an immediate benefit of the collected data for individualized optimal care.

ObjectiveWe investigated the predictive value of the enzyme-linked immunospot technique (ELISPOT) in identifying patients with relapsing-remitting multiple sclerosis (RRMS) who will respond to treatment with glatiramer acetate (GA) or interferon-β (IFN-β), based on the brain-reactive B-cell activity of peripheral blood cells.MethodsIn this retrospective, cross-sectional, real-world multicenter study, we identified patients with RRMS in the NeuroTransData MS registry and stratified them based on their documented treatment response (relapse-free in the first 12 months of treatment) to GA or IFN-β. The GA group comprised 73 patients who responded to GA and 35 nonresponders. The IFN-β group comprised 62 responders to IFN-β and 37 nonresponders. Patients with previous or current therapy affecting B-cell activity were excluded. We polyclonally stimulated mononuclear cells from peripheral blood samples (collected after participant selection) and investigated brain-reactive B-cell activity after incubation on brain tissue lysate-coated ELISPOT plates. Validity metrics of the ELISPOT testing results were calculated (Python 3.6.8) in relation to the clinical responsiveness in the 2 treatment groups.ResultsThe ELISPOT B-cell activity assay showed a sensitivity of 0.74, a specificity of 0.76, a positive predictive value of 0.78, a negative predictive value of 0.28, and a diagnostic OR of 8.99 in predicting clinical response to GA vs IFN-β therapy in patients with RRMS.ConclusionMeasurement of brain-reactive B-cell activity by ELISPOT provides clinically meaningful predictive probabilities of individual patients' treatment response to GA or IFN-β. The assay has the potential to improve the selection of optimal first-line treatment for individual patients with RRMS.Classification of EvidenceThis study provides Class II evidence that in patients with RRMS, the brain reactivity of their peripheral-blood B cells predicts clinical response to GA and IFN-β.

ObjectiveTo evaluate the impact of drug diversity on treatment effectiveness in relapsing-remitting multiple sclerosis (RRMS) in Germany.DesignThis study employs real-world data captured in-time during clinical visits in 67 German neurology outpatient offices of the NeuroTransData (NTD) multiple sclerosis (MS) registry between 1 January 2010 and 30 June 2019, including 237 976 visits of 17 553 patients with RRMS. Adherence and clinical effectiveness parameters were analysed by descriptive statistics, time-to-event analysis overall and by disease-modifying therapies (DMTs) stratified by administration modes (injectable, oral and infusion). Three time periods were compared: 2010–2012, 2013–2015 and 2016–2018.ResultsBetween 2010 and 2018, an increasing proportion of patients with RRMS were treated with DMTs and treatment was initiated sooner after diagnosis of MS. Introduction of oral DMT temporarily induced higher readiness to switch. Comparing the three index periods, there was a continuous decrease of annualised relapse rates, less frequent Expanded Disability Status Scale (EDSS) progression and increasing periods without relapse, EDSS worsening and with stability of no-evidence-of-disease-activity 2 and 3 criteria, lower conversion rates to secondary progressive MS on oral and on injectable DMTs.ConclusionSparked by the availability of new mainly oral DMTs, RRMS treatment effectiveness improved clinically meaningful between 2010 and 2018. As similar effects were seen for injectable and oral DMTs more than for infusions, a better personalised treatment allocation in many patients is likely. These results indicate that there is an overall beneficial effect for the whole patient with MS population as a result of the greater selection of available DMTs, a benefit beyond the head-to-head comparative efficacy, resulting from an increased probability and readiness to individualise MS therapy.