Effect of Long‐Term Voclosporin Treatment on Renal Histology in Patients With Active Lupus Nephritis With Repeat Renal Biopsies
Bibliographic record
Abstract
OBJECTIVE: This study characterized the impact of voclosporin on kidney histology in patients with lupus nephritis (LN) who had protocolized repeat kidney biopsies in the AURORA clinical trials. METHODS: Patients were randomized to voclosporin or placebo treatment for up to 3 years; all patients received mycophenolate mofetil and low-dose glucocorticoids. Patients had baseline kidney biopsies within 6 months before study start and repeat biopsies after approximately 18 months of study treatment. The revised National Institutes of Health indices for LN activity and chronicity (CI) were calculated in addition to a semiquantitative assessment of vascular and tubular lesions. RESULTS: Sixteen patients in the voclosporin group and 10 patients in the control group had both baseline and repeat kidney biopsies. Patient clinical characteristics were similar at baseline. In the voclosporin group, most (n = 13) patients had pure class IV lesions (pure class V, n = 1; mixed, n = 2). In the control group, three patients had pure class IV (pure class III, n = 3; pure class V, n = 1; mixed, n = 3). Most of the voclosporin-treated patients had no change in CI (n = 8) or a change no greater than 2 (n = 6); control-treated patients also had no change in CI (n = 3) or a change no greater than 2 (n = 6). No trends in vascular lesions or tubular compartment changes were observed. CONCLUSION: Outcomes from this small subgroup show that exposure to study treatment was not associated with nephrotoxicity based on histopathologic evaluation after 18 months. These data are reassuring and further contribute to the safety profile of voclosporin for the treatment of adults with active LN.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".