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Background: As of September 2022, there was no globally recommended set of core data elements for use in multiple sclerosis (MS) healthcare and research. As a result, data harmonisation across observational data sources and scientific collaboration is limited. Objectives: To define and agree upon a core dataset for real-world data (RWD) in MS from observational registries and cohorts. Methods: A three-phase process approach was conducted combining a landscaping exercise with dedicated discussions within a global multi-stakeholder task force consisting of 20 experts in the field of MS and its RWD to define the Core Dataset. Results: A core dataset for MS consisting of 44 variables in eight categories was translated into a data dictionary that has been published and disseminated for emerging and existing registries and cohorts to use. Categories include variables on demographics and comorbidities (patient-specific data), disease history, disease status, relapses, magnetic resonance imaging (MRI) and treatment data (disease-specific data). Conclusion: The MS Data Alliance Core Dataset guides emerging registries in their dataset definitions and speeds up and supports harmonisation across registries and initiatives. The straight-forward, time-efficient process using a dedicated global multi-stakeholder task force has proven to be effective to define a concise core dataset. [ABSTRACT FROM AUTHOR]

Background and purpose: The validity, reliability, and longitudinal performance of the Patient‐Determined Disease Steps (PDDS) scale is unknown in people with multiple sclerosis (MS) with mild to moderate disability. We aimed to examine the psychometric properties and longitudinal performance of the PDDS. Methods: We included relapsing–remitting MS patients with an Expanded Disability Status Scale (EDSS) score of less than 4. Validity and test–retest reliability was examined. Longitudinal data were analysed with mixed‐effect modelling and Cohen's kappa for concordance in confirmed disability progression (CDP). Results: We recruited a total of 1093 participants, of whom 904 had complete baseline data. The baseline correlation between PDDS and EDSS was weak (ρ = 0.45, p < 0.001). PDDS had stronger correlations with patient‐reported outcomes (PROs). Conversely, EDSS had stronger correlations with age, disease duration, Kurtzke's functional systems and processing speed test. PDDS test–retest reliability was good to excellent (concordance correlation coefficient = 0.73–0.89). Longitudinally, PDDS was associated with EDSS, age and depression. A higher EDSS score was associated with greater PDSS progression. The magnitude of these associations was small. There was no concordance in CDP as assessed by PDDS and EDSS. Conclusion: The PDDS has greater correlation with other PROs but less correlation with other MS‐related outcome measures compared to the EDSS. There was little correlation between PDDS and EDSS longitudinally. Our findings suggest that the PDDS scale is not interchangeable with the EDSS. [ABSTRACT FROM AUTHOR]

Background: MSProDiscuss is a validated physician-completed tool based on a set of weighted questions that include information on multiple sclerosis (MS) relapses, symptoms, and impacts experienced by the patient within the past 6 months. The tool's traffic light system-linked output is meant as an aid for discussing the signs of MS disease progression. The tool is available online at www.msprodiscuss.com. Objectives: To report physician findings on usability and usefulness testing of the MSProDiscuss tool while discussing disease progression with patients in the real-world setting. Methods: An online qualitative survey was undertaken in 34 countries. Health care practitioners (HCPs) completed individual questionnaires (i) after using MSProDiscuss during face-to-face patient consultations and a final questionnaire (f) to capture the overall experience on the tool. The HCPs also provided general feedback and recommendations for improving the tool. Results: In total, 301 HCPs (including 23 MS nurses and 6 neurology nurse practitioners) tested the tool in 6974 patients with MS. The time taken to complete MSProDiscuss during a regular consultation was 1-4 minutes in 97% (i) to 98% (f) of the time. In 94% (i) to 97% (f ) of cases, HCPs agreed that patients were able to comprehend the questions from the tool. HCPs were willing to use the tool again in the same patient 91% (i) of the time. MSProDiscuss was useful in discussing MS symptoms and its impact on daily activities (88% i / 92% f) and cognitive function (79% both i and f) and in discussing progression in general (88% i / 90% f). While completing the final questionnaire, 95% of HCPs agreed that the questions were similar to those asked in regular consultation. MSProDiscuss was also found helpful for understanding the impact of MS symptoms on daily activities (91%) and cognitive function (80%). Overall, 92% of the HCPs would recommend MSProDiscuss to a colleague. Regarding integration of MSProDiscuss into their clinical practice, 92% of HCPs think that it is feasible and 86% are willing to integrate. Key recommendations were to allow for longitudinal follow-up, expand on cognitive assessments, and provide a patient-completed version; these are considered in the updated version of MSPro- Discuss. Conclusions: The findings from this real-world study suggest that MSProDiscuss is a usable and useful tool to facilitate physician-patient discussion on disease progression in daily clinical practice by capturing structured disease history. [ABSTRACT FROM AUTHOR]

Background: As of September 2022, there was no globally recommended set of core data elements for use in multiple sclerosis (MS) healthcare and research. As a result, data harmonisation across observational data sources and scientific collaboration is limited., Objectives: To define and agree upon a core dataset for real-world data (RWD) in MS from observational registries and cohorts., Methods: A three-phase process approach was conducted combining a landscaping exercise with dedicated discussions within a global multi-stakeholder task force consisting of 20 experts in the field of MS and its RWD to define the Core Dataset., Results: A core dataset for MS consisting of 44 variables in eight categories was translated into a data dictionary that has been published and disseminated for emerging and existing registries and cohorts to use. Categories include variables on demographics and comorbidities (patient-specific data), disease history, disease status, relapses, magnetic resonance imaging (MRI) and treatment data (disease-specific data)., Conclusion: The MS Data Alliance Core Dataset guides emerging registries in their dataset definitions and speeds up and supports harmonisation across registries and initiatives. The straight-forward, time-efficient process using a dedicated global multi-stakeholder task force has proven to be effective to define a concise core dataset., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: T.P. has no other conflicts of interests to disclose than that she is funded by the Flemish Government under the ‘Special Research Fund (Bijzonder Onderzoeksfonds, BOF)’: BOF22OWB01. L.G. has no other conflicts of interests to disclose than that she is funded by the Flemish Government under the ‘Onderzoeksprogramma Artificiële Intelligentie Vlaanderen’. A.H. has no personal pecuniary interests to disclose, other than being an employee of the MS International Federation, which receives income from a range of corporate sponsors, recently including: Biogen, BristolMyersSquibb, Coloplast, Janssen, Merck, Viatris (formerly Mylan), Novartis, Roche and Sanofi – all of which is publicly disclosed. J.H. has received honoraria for serving on advisory boards for Biogen, Bristol-Myers-Squibb, Sanofi-Genzyme, Merck KGaA, Novartis, and Sandoz and speaker’s fees from Biogen, Novartis, Merck KGaA, Teva and Sanofi-Genzyme. He has served as P.I. for projects, or received unrestricted research support from, Biogen, Bristol-Myers-Squibb, Merck KGaA, Novartis, Roche and Sanofi-Genzyme. His MS research was funded by the Swedish Research Council and the Swedish Brain foundation. H.S. works for the Accelerated Cure Project for MS (ACP), which has received grants, collaboration funding, payments for use of assets, or in-kind contributions from the following companies: EMD Serono, Sanofi/Genzyme, Biogen, Genentech, AbbVie, Octave, GlycoMinds, Pfizer, MedDay, AstraZeneca, Teva, Mallinckrodt, MSDx, Regeneron Genetics Centre, BC Platforms, and Celgene. A.C.P. has also received funding from the Patient-Centred Outcomes Research Institute (PCORI) and the National MS Society (NMSS). A.S. is on the editorial board for Neurology and serves as a consultant for Gryphon Bio, LLC. She has received research funding from the Department of Defence, MS Society of Canada, National MS Society and the Consortium of MS Centres. A.S. works for the NARCOMS Registry which is supported by the Consortium of MS Centres (CMSC) and the Foundation of the CMSC. R.M. has received no personal funding from any sources, the UK MS Register is funded by the MS Society, and has received funding for specific projects from Novartis, Sanofi-Genzyme, and Merck KGaA. A.S. has no personal pecuniary interests to disclose, other than being the lead of the German MS-Registry, which receives funding from a range of public and corporate sponsors, recently including: The German Innovation Fund (G-BA), The German MS Trust, The German Retirement Insurance, German MS Society, Biogen, Celgene (BMS), Merck, Novartis, Roche and Sanofi. P.D. is a full-time employee and a shareholder of Biogen. E.H.M.-L. and K.P. have no conflicts of interest to disclose. The views expressed in this article are the personal views of the author(s) and may not be understood or quoted as being made on behalf of or reflecting the position of the EMA or one of its committees or working parties. P.I. has served on scientific advisory boards for Biogen Idec, Bayer, Teva, Roche, Merck Serono, Novartis and Genzyme and has received funding for travel and/or Speaker honoraria from Sanofi Aventis, Genzyme, Biogen Idec, Teva, Merck Serono, Alexion and Novartis. J.I.R. has received honoraria from Novartis as a scientific advisor. He has received travel grants and attended courses and conferences on behalf of Merck-Serono Argentina, Novartis, Roche, Sanofi-Genzyme, Biogen, Bayer and Teva. He receives unrestricted research funding from Novartis, Biogen, Roche, Merck and Sanofi. M.M. has served in scientific advisory board for Sanofi, Novartis, Merck, and has received honoraria for lecturing from Biogen, Merck, Novartis, Roche, Genzyme, Bristol-Myers Squibb. She received research support and support for congress participation from Biogen, Genzyme, Roche, Merck, Novartis. A.v.d.W. has received honoraria and unrestricted research funding from Novartis, Biogen, Roche, Merck and Sanofi. G.C. reports that he has received consulting and speaking fees from Novartis, Teva Pharmaceutical Industries Ltd, Teva Italia Srl, Sanofi-Genzyme Corporation, Genzyme Europe, Merck KGgA, Merck Serono SpA, Celgene Group, Biogen Idec, Biogen Italia Srl, F. Hoffman-La Roche, Roche SpA, Almirall SpA, Forward Pharma, Medday, and Excemed. L.M.P. has no conflict to report related to this work other than being the chair and the coordinator of the MSDA initiative, receiving funding from a range of corporate sponsors, including Biogen, Bristol-Myers Squibb, Janssen Pharmaceuticals, Merck, Novartis, and Roche. All other co-authors have no relevant competing interests to report. The authors declare that the funding sources did not influence the content of this work.

Peripheral T-cell lymphoma comprises a heterogeneous group of mature non-Hodgkin lymphomas. Their diagnosis is challenging, with up to 30% of cases remaining unclassifiable and referred to as "not otherwise specified". We developed a reverse transcriptase-multiplex ligation-dependent probe amplification gene expression profiling assay to differentiate the main T-cell lymphoma entities and to study the heterogeneity of the "not specified" category. The test evaluates the expression of 20 genes, including 17 markers relevant to T-cell immunology and lymphoma biopathology, one Epstein-Barr virus-related transcript, and variants of RHOA (G17V) and IDH2 (R172K/T). By unsupervised hierarchical clustering, our assay accurately identified 21 of 21 ALK-positive anaplastic large cell lymphomas, 16 of 16 extranodal natural killer (NK)/T-cell lymphomas, 6 of 6 hepatosplenic T-cell lymphomas, and 13 of 13 adult T-cell leukemia/lymphomas. ALK-negative anaplastic lymphomas (n=34) segregated into one cytotoxic cluster (n=10) and one non-cytotoxic cluster expressing Th2 markers (n=24) and enriched in DUSP22 -rearranged cases. The 63 T FH -derived lymphomas divided into two subgroups according to a predominant T FH (n=50) or an enrichment in Th2 (n=13) signatures. We next developed a support vector machine predictor which attributed a molecular class to 27 of 77 not specified T-cell lymphomas: 17 T FH , five cytotoxic ALK-negative anaplastic and five NK/T-cell lymphomas. Among the remaining cases, we identified two cell-of-origin subgroups corresponding to cytotoxic/Th1 (n=19) and Th2 (n=24) signatures. A reproducibility test on 40 cases yielded a 90% concordance between three independent laboratories. This study demonstrates the applicability of a simple gene expression assay for the classification of peripheral T-cell lymphomas. Its applicability to routinely-fixed samples makes it an attractive adjunct in diagnostic practice., (Copyright© 2020 Ferrata Storti Foundation.)