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Record W4380448111 · doi:10.1093/ndt/gfad063a_3032

#3032 EFFICACY AND SAFETY OF VOCLOSPORIN IN PATIENTS WITH PROTEINURIA ≥2 MG/MG: AN INTEGRATED ANALYSIS OF THE AURA-LV AND AURORA 1 STUDIES

2023· article· en· W4380448111 on OpenAlexaff
Salem Almaani, Emily Littlejohn, Lucy S. Hodge, Christopher M. Mela, Christopher Collins

Bibliographic record

VenueNephrology Dialysis Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsAurinia (Canada)
Fundersnot available
KeywordsMedicineProteinuriaUrologyPlaceboLupus nephritisRenal functionInternal medicineRenal biopsyPost-hoc analysisGastroenterologyKidneyPathology

Abstract

fetched live from OpenAlex

Abstract Background and Aims Proteinuria has been established as a mediator of progressive renal damage in many nephropathies. However, recent studies of several monoclonal antibodies demonstrated a lack of efficacy in patients with lupus nephritis and moderate to high levels of proteinuria (UPCR ≥2 to ≥3 mg/mg), potentially due to an increase in renal antibody clearance.1-4 Given that, we examined the efficacy and safety of voclosporin in patients with lupus nephritis and a UPCR of ≥2 mg/mg using the pooled dataset from the Phase 2 AURA-LV and Phase 3 AURORA 1 trials. Method Both studies enrolled patients with biopsy-proven LN (Class III, IV, or V ± III/IV, biopsied within 6 months in AURA-LV or up to 2 years in AURORA 1) and proteinuria ≥1.5 mg/mg (≥2 mg/mg for Class V). Patients were randomized to receive either voclosporin (23.7 mg BID) or placebo and treated for up to one year (48 weeks [AURA-LV], 52 weeks [AURORA 1]); all patients received MMF and low-dose steroids. For this post-hoc analysis, changes in UPCR and renal response rates were evaluated in patients with baseline UPCR ≥2 mg/mg. Complete renal response (CRR) was defined as UPCR ≤0.5 mg/mg with stable renal function, low-dose steroids, and no rescue medication; partial renal response (PRR) was defined as a ≥50% reduction in UPCR from baseline. Safety outcomes were also assessed. Results The pooled analysis included 268 and 266 patients in the voclosporin and control arms, respectively. Of those, 217 and 215 patients had UPCR ≥2 mg/mg (baseline mean [SD], 5.2 [3.4] vs. 4.6 [2.9] mg/mg, respectively). A significantly greater percentage of voclosporin-treated patients achieved a CRR at one year compared to the control arm (41.0% vs. 21.9%; odds ratio [OR] 2.48, p<0.0001, Figure 1A). Similarly, significantly more patients in the voclosporin arm (69.6%) than control arm (50.0%) achieved a PRR at the same time point (OR 2.3, p<0.0001); this endpoint was met significantly earlier in voclosporin-treated patients as well (29 vs. 57 days, hazard ratio [HR] 2.0, p<0.0001). The median time to UPCR ≤0.5 mg/mg was also significantly earlier in the voclosporin arm (211 days); less than 50% of the control arm achieved this endpoint within the study period (OR 1.9, p<0.0001, Figure 1B). Adverse event rates were comparable in both arms (Table 1), and mean eGFR levels were similar and stable over the study period, a trend that was maintained for AURORA 1 patients who continued randomized treatment for another two years in the AURORA 2 study. Conclusion Consistent with results from the overall pooled study population, patients with UPCR ≥2 mg/mg at baseline treated with voclosporin achieved significantly higher renal response rates and significantly earlier reductions in UPCR than patients treated with MMF and low-dose steroids alone. These findings are clinically important given the lack of effective therapies available for patients with high baseline proteinuria.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.019
GPT teacher head0.294
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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