New recommendations
—
EULAR – The European Alliance of Associations for Rheumatology – has published new recommendations on core datasets to be used in systemic lupus erythematosus (SLE). The work defines a set of essential items for the comprehensive care of people with SLE in clinical practice, plus vital elements for translational and observational research.
SLE is a complex and potentially life-threatening autoimmune disease. Part of the complexity stems from how it can differ from person to person – giving rise to marked heterogeneity in not only manifestations, but also in disease course and treatment response. To support better understanding of the disease, researchers have suggested using “big data”. Traditional data is often structured and stored in databases of tables – making it easy to query and run statistics. This is fine for relatively small volumes of data with predictable formats. With big data, massive and complex datasets can be utilised with advanced tools such as machine learning to uncover patterns and insights.1 However, big data can cope with massive datasets in structured, semi-structured, and unstructured formats, and this information is stored in different ways, such as in data lakes without predefined schemas. The analyses from such projects could have a number of impacts, such as helping to identify patient subgroups that might be suitable for targeted clinical trials. However, although there are many registries collecting data in SLE, these do not always use the same terms or measures, and this makes it hard to combine datasets to achieve big data. To enhance clinical and multi-centre research outcomes, standardised documentation of patient- and disease-related features is important.
To address these issues, EULAR put together a taskforce to define a comprehensive core dataset of the essential elements necessary to ensure complete clinical care, as well as to facilitate scientific research for the benefit of people with SLE. In total, 25 stakeholders from 14 different countries took part. A literature search was conducted to collect relevant information, resulting in a list of 99 items to consider. In an anonymous online survey, the expert panel rated the perceived importance of each of these, followed by a Delphi survey.
The new work, published in the August 2025 issue of the Annals of the Rheumatic Diseases, includes 73 items for a clinical core dataset, and an additional 8 for research purposes. The core clinical dataset is split into three overarching groups based on timing of data collection: first visit and on-demand, yearly, and regularly. The former includes general demographic items, plus disease history and serology, the second a yearly review of comorbidities and recording of disease damage and progression, and the latter regular review of laboratory parameters, outcomes, treatment, patient-reported outcomes, and disease activity. Within each topic there are specific suggested measures.
The additional 8 items in the research extension cover fulfilment of classification criteria, haematological damage, vaccinations, achievement of low disease activity, drug adherence, the use of other medications, plus health-related quality of life and work productivity.
“Harnessing big data, especially through standardised datasets, will be pivotal in accelerating research and revealing new insights that can transform how we manage and treat challenging conditions”, said Dr Johanna Mucke – lead author on the paper and researcher at Ruhr-University Bochum, Germany. “The development of this core dataset lays a crucial foundation for achieving that standardisation”.
EULAR believes that this core dataset is feasible for assessment in clinical care – especially since many of the items do not require regular assessment but only yearly or one-off evaluation. The comparability that will result from standardised datasets will facilitate clinical benchmarking, leading to advancements in our understanding and treatment of SLE. Ultimately, this project aims to improve care and quality of life for people living with SLE.
Source
Mucke J, et al. EULAR recommendations for a core data set to support clinical care and translational and observational research in systemic lupus erythematosus. Ann Rheum Dis 2025; doi.org/10.1016/j.ard.2025.07.001
References
1. Badman A, Kosinski M. What is big data? https://www.ibm.com/think/topics/big-data
About EULAR
EULAR is the European umbrella organisation representing scientific societies, health professional associations and organisations for people with rheumatic and musculoskeletal diseases (RMDs). EULAR aims to reduce the impact of RMDs on individuals and society, as well as improve RMD treatments, prevention, and rehabilitation. To this end, EULAR fosters excellence in rheumatology education and research, promotes the translation of research advances into daily care, and advocates for the recognition of the needs of those living with RMDs by EU institutions.
Contact
EULAR Communications, communications@eular.org