OBJECTIVES Childhood-onset systemic lupus erythematosus (cSLE), representing 15%-20% of individuals with SLE, has been difficult to study globally due to differences between registries. This initiative, supported by Childhood Arthritis Rheumatology Research Alliance (CARRA) and Paediatric Rheumatology European Society (PReS), aims to create Core and Expanded cSLE Datasets to standardise and enhance research worldwide. METHODS 21 international cSLE experts and 4 patients participated in a Delphi process (questionnaires, 2 topic-specific focus groups and 3 virtual consensus meetings) to create 2 standardised cSLE datasets. The Core cSLE Dataset was designed to include data essential to meaningful clinical research across many settings. The Expanded cSLE Dataset was designed for centres able to consistently collect data to address broader research questions. Final data items for the Core and Expanded datasets were determined by consensus defined as >80% agreement) using an adapted nominal group technique and voting. RESULTS The resulting Core cSLE Dataset contains 46 items, including demographics, clinical features, laboratory results, medications and significant adverse events. The Expanded cSLE Dataset adds 26 additional items and includes patient-reported outcomes. Consensus was also achieved regarding the frequency and time points for data collection: baseline, quarterly follow-up visits, annually and flare visits. CONCLUSION Standardised Core and Expanded cSLE Datasets for registry-based international cSLE research were defined through the consensus of global experts and patient/caregiver representatives, endorsed by CARRA and PReS. These datasets incorporate disease-specific and patient-specific features, optimised for diverse settings to facilitate international collaborative research for children and adolescents with SLE worldwide.

Simple Summary Patients with chronic lymphocytic leukemia (CLL) are more susceptible to infections, which are also the most common cause of death in these patients. Previous studies in patients with CLL described elevated levels of FOXP3+ regulatory T cells (Tregs), which also correlated with decreased T cell responses to microbial antigens. As the activation of the STAT5 transcription factor induces the expression of FOXP3 and human CD4+FOXP3+ T cells that also contain nonsuppressive T cells, we analyzed STAT5 phosphorylation (pSTAT5) and suppressive subpopulations, including activated Tregs (aTregs). We found a significantly increased frequency of aTregs in patients with advanced stages, which significantly correlated with the total tumor mass score. aTreg expansion in vitro was associated with significantly higher aTreg pSTAT5 responses to SARS-CoV-2 antigen-specific stimulation in vitro. Finally, a subgroup of patients characterised by an increased aTreg percentage among CD4+FOXP3+ T cells experienced a more severe disease course with serious grade ≥3 infections during follow-up. Abstract Introduction: Advanced chronic lymphocytic leukemia (CLL) is accompanied by increased circulating regulatory T cells (Tregs) and increased susceptibility to severe infections, which were also shown to entail a striking induction of FOXP3 expression in Tregs. As homeostasis of the most suppressive CD45RA−FOXP3high activated Treg (aTreg) subset differs, it is critical to analyse homeostatic signalling in Treg subsets. Materials and Methods: In this study, by using conventional and imaging flow cytometry, we monitored STAT5 signalling/phosphorylation (pSTAT5) and investigated Treg subsets in relation to the Binet stage, the total tumor mass score (TTM) and the disease course during a follow-up of 37 patients with CLL. Results: The aTreg percentage was significantly increased among CD4+ T cells from patients with advanced disease and significantly correlated with the TTM. A subgroup of patients with higher aTreg percentages among CD4+FOXP3+ T cells at the start of therapy was characterised by more frequent episodes of severe infections during follow-up. Conclusions: The results suggesting that an aTreg fraction could represent a possible marker of a severe disease course with infectious complications. Augmented homeostatic STAT5 signalling could support aTreg expansion, as higher pSTAT5 levels were significantly correlated with an increased aTreg frequency among CD4+FOXP3+ T cells during the follow-up of patients on therapy, as well as following SARS-CoV-2 antigen-specific stimulation in vitro.

BACKGROUND The 2023 ACR/EULAR Antiphospholipid Syndrome (APS) Classification Criteria development, aiming to identify patients with high likelihood of APS for research, employed a four-phase methodology. Phase I and II resulted in 27 proposed candidate criteria, organized into laboratory and clinical domains. Here, we summarize the last stage of Phase III efforts employing a consensus-based multi-criteria decision analysis (MCDA) to weigh candidate criteria and identify an APS classification threshold score. METHODS We evaluated 192 unique, international real-world cases referred for "suspected APS" with a wide range of APS manifestations. Using proposed candidate criteria, subcommittee members rank-ordered 20 representative cases from highly unlikely to highly likely APS. During an in-person meeting, the subcommittee refined definitions and participated in an MCDA exercise to identify relative weights of candidate criteria. Using consensus decisions and pairwise criteria comparisons, 1000Minds™ software assigned criteria weights, and we rank ordered 192 cases by their additive scores. A consensus-based threshold score for APS classification was set. RESULTS Pre-meeting evaluation of 20 representative cases demonstrated variability in APS assessment. MCDA resolved 81 pairwise decisions; relative weights identified domain item hierarchy. After assessing 192 cases by weights and additive scores, the Steering Committee reached consensus that APS classification should require separate clinical and laboratory scores, rather than a single aggregate score, to ensure high specificity. CONCLUSION Using MCDA, candidate criteria preliminary weights were determined. Unlike other disease classification systems using a single aggregate threshold score, separate clinical and laboratory domain thresholds were incorporated into the new APS classification criteria.

Background: Data suggest that food allergies greatly impact a child’s health and growth due to inadequate nutrient intake. Our study aimed to establish the long-term outcome of children with food allergies compared to a control group. Methods: This study was a retrospective cohort study with longitudinal follow-up with a mean period of 4.85 years from the diagnosis to the last study visit. The patients’ nutritional intake was assessed using a three-day food diary and analysed by a dietitian. Patients (61 boys and 33 girls, mean age 6.9 years) had a single food allergy including 21 patients with cow’s milk, 34 with egg, and 39 with peanut allergies. The control group included 36 children (19 boys and 17 girls, mean age 8.03 years). Blood analysis was performed on all participants. Results: Data from our study showed that patients with cow’s milk, egg or peanut allergies had normal growth and achieved catch-up growth from the diagnosis until the last study visit. In the cow’s milk allergy group, the allergy was shown to affect calcium intake (p < 0.05), while egg and peanut allergies did not impact the dietary intake of nutrients. None of the investigated food allergies affected blood results (p < 0.05). Conclusions: In the present study, we showed that single food allergies do not compromise growth in children if they are provided with appropriate support and that the affected children reach catch-up growth from the diagnosis.