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Core set domains capture SLE treatment response in 89.5% of cases at week 52

Core set domains capture SLE treatment response in 89.5% of cases at week 52
Photo by Bharath Kumar / Unsplash
Key Takeaway
Consider using a core set of domains to simplify SLE RCT endpoints without impacting responder classification.

This phase III randomized controlled trial was conducted in a global setting involving 1526 subjects with Systemic Lupus Erythematosus. The study design focused on evaluating the utility of a core set of domains for classifying treatment response. This core set consisted of 30 of the 86 items found in the British Isles Lupus Assessment Group (BILAG) index. The comparator utilized in this analysis was the full set of all BILAG items. The primary outcome measured was treatment response classification. The follow-up period for the study was 52 weeks.

The analysis of baseline disease activity captured by the core set versus the full BILAG showed that the majority of disease activity was captured. Specifically, the core set captured disease activity in 1426 of 1526 subjects, representing an effect size of 93.5%. The p-value or confidence interval for this specific comparison was not reported. This finding suggests that the core set effectively represents the baseline disease state for the vast majority of the enrolled population.

Regarding treatment response concordance at week 52, the study found that responses were concordant between the two methods in 1278 of 1426 subjects. This represents an effect size of 89.5%. The p-value or confidence interval for this concordance measure was not reported. The direction of the difference was not reported in the available data. These results demonstrate a high degree of agreement between the simplified core set and the comprehensive full set when assessing treatment response.

Safety and tolerability findings were not reported in the provided data. Adverse events, serious adverse events, discontinuations, and overall tolerability were not reported. Consequently, no specific rates or qualitative descriptions of safety outcomes can be included in this summary based on the available evidence.

The study limitations include the fact that this is an ongoing global project to develop a novel outcome measure. Funding or conflicts of interest were not reported. The certainty note was not reported, and specific causality notes were not reported. The study did not report specific adverse event rates or discontinuation data, which limits the ability to fully assess the safety profile in this specific analysis.

The practice relevance of these findings is that limiting the classification of treatment response to a core set of domains has the potential to simplify SLE RCT endpoints without a significant negative impact on patient inclusion or responder classification. This suggests that clinical trials could potentially use the core set of 30 domains to reduce complexity while maintaining the integrity of the responder classification.

Key questions remain unanswered regarding the long-term safety profile of the interventions in this population. The lack of reported safety data means clinicians cannot determine the specific adverse event rates associated with the study interventions. Additionally, the absence of confidence intervals or p-values for the primary concordance outcomes limits the statistical precision of the reported effect sizes. Further research is needed to confirm these findings in diverse populations and to establish the safety profile of the treatments evaluated.

Study Details

Study typeRct
Sample sizen = 1,526
EvidenceLevel 2
PublishedMay 2026
View Original Abstract ↓
OBJECTIVE: Outcome measures used in SLE randomised controlled trials (RCTs) have impeded trial success and drug approval. In an ongoing global project to develop a novel outcome measure for SLE RCTs, a 'core set' of domains with which to determine treatment response was chosen via consensus. We investigated the impact of restricting disease activity assessment to this core set on responder classification in RCTs. METHODS: Using pooled baseline and week 52 data from two phase III SLE RCTs (Belimumab in Subjects with Systemic Lupus Erythematosus (BLISS)-52, NCT00424476; BLISS-76, NCT00410384), we divided items from the British Isles Lupus Assessment Group (BILAG) disease activity index into core and non-core sets. The core set included 30 of 86 BILAG items across five domains: mucocutaneous (rash, alopecia, mucosal ulcers), haematological (thrombocytopenia, haemolytic anaemia), arthritis, serositis and nephritis. We analysed baseline disease activity and treatment response at week 52. RESULTS: We analysed 1526 patients. At baseline, the core set captured the majority of disease activity captured using the full BILAG (1426/1526 (93.5%) of patients). Cutaneous vasculitis, non-haemolytic anaemia, leucopenia, dyspnoea and fatigue were the most common non-core set manifestations present. At week 52, about 1278/1426 (89.5%) patients demonstrated concordant treatment responses measured with the core set only versus all BILAG items. Discordance was again driven by cutaneous vasculitis, non-haemolytic anaemia, leucopenia and fatigue. CONCLUSIONS: Limiting the classification of treatment response to a core set of domains has the potential to simplify SLE RCT endpoints without a significant negative impact on patient inclusion or responder classification.
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