Real-World Data on Voclosporin for the Treatment of Lupus Nephritis, Including Use of Concomitant Biologic Therapies: Analysis of the Enlight-LN Registry
Bibliographic record
Abstract
Background: Voclosporin is approved for the treatment of adults with active lupus nephritis (LN). In the Phase 3 AURORA studies, voclosporin plus MMF and low-dose glucocorticoids led to significant reductions in proteinuria while maintaining a stable eGFR for up to 3 years of follow-up. Biologic therapies are also frequently used in systemic lupus erythematosus and LN, yet information on the use of voclosporin in combination with these agents is limited. Here we describe baseline characteristics and demographics of patients enrolled in the Enlight-LN registry and detail the use of concomitant medications, specifically biologics. Methods: The Enlight-LN registry enrolled patients between March 2022 and January 2025 (NCT05337124). Enrolled patients were ≥18 years with biopsy-confirmed LN who initiated treatment with commercial voclosporin prior to study consent. Patients received standard of care in accordance with usual clinical practice at each site. Results: As of April 4, 2025, data were available on 229 patients. Median (range) patient age was 34.0 (18-78), with 36.2% of patients ≤30 years; 83.4% were female. Most patients self-identified as White (43.2%) or Black/African American (38.0%); 35.4% were Hispanic/Latino. Median (range) time since first LN diagnosis was 1.6 (0-26.2) years. The majority of patients had Class V disease (31.4%), Class IV disease (20.1%), or mixed Class IV/V disease (15.7%). Median (range) eGFR was 89.3 (6-170) mL/min/1.73 m2; 10.4% of patients had baseline eGFR <45 mL/min/1.73 m2. Median (range) UPCR was 2.3 (0.1-16.8) g/g; 38.2% of patients had baseline UPCR ≥3 g/g. There were 83 (36.2%) patients on voclosporin who concomitantly received treatment with a biologic including belimumab (28.4%), rituximab (4.8%), anifrolumab (3.9%) and obinutuzumab (1.3%). Conclusion: This initial analysis portrays the use of concomitant immunosuppressive biologics in LN patients treated with voclosporin. This is notable given the unique and possibly synergistic effects of these agents on the immune system. Additional analysis of the registry data will provide further clinical and mechanistic insights into the use of these multi-targeted therapeutic approaches. Funding: Commercial Support - Aurinia Pharmaceuticals Inc.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".