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Record W4415426104 · doi:10.1093/ndt/gfaf116.0231

#2548 Long-term stabilization of kidney function (estimated glomerular filtration rate) with iptacopan in patients with native C3 glomerulopathy

2025· article· en· W4415426104 on OpenAlexaff
David Kavanagh, Christoph Licht, Serge Smeets, Rubeen Israni, Deborah Keefe, Soudeh Ansari, Junhao Liu, Carla Nester

Bibliographic record

VenueNephrology Dialysis Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsRenal functionKidney diseaseCreatininePopulationGlomerulopathyAlternative complement pathwayDialysisKidney

Abstract

fetched live from OpenAlex

Abstract Background and Aims C3 glomerulopathy (C3G), is an ultra-rare primary glomerulonephritis caused by overactivation of the alternative complement pathway (AP). Iptacopan (LNP023) is an oral, proximal complement inhibitor that targets Factor B to selectively inhibit the AP of the complement cascade. The estimated glomerular filtration rate (eGFR) slope (i.e. the rate of decline over time) is accepted as a surrogate endpoint in glomerular diseases. We have previously reported stabilization of eGFR parameters with iptacopan treatment across Phase 2 and 3 studies. This pooled analysis aims to demonstrate the long-term stabilization of eGFR observed with iptacopan treatment in patients with native C3G. Method In this pooled exploratory analysis, data spanning up to 57 months were combined for all patients with native C3G from Study X2202 (Phase 2), APPEAR-C3G (Phase 3), and Study B12001B (Phase 3b, roll-over extension; Table 1). Improvement in kidney function through long-term stabilization of eGFR was evaluated by comparing the change in eGFR slope from prior to treatment with iptacopan to post-iptacopan treatment initiation (200 mg b.i.d.) in the overall study population and subgroups of participants with baseline eGFR <90 mL/min/1.73 m2 versus ≥90 mL/min/1.73 m2 (normal range). Historical serum creatinine data (collected up to 2 years before randomization) were used to calculate eGFR using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Pooling the data allowed for more precise eGFR slope reporting. Before iptacopan treatment, a common eGFR slope was assumed for all treatment arms. Results A total of 90 patients with native C3G were included in the pooled analysis (baseline eGFR ≥90 mL/min/1.73 m2, n = 47; <90 mL/min/1.73 m2, n = 43). In the overall study population, an improvement in post-iptacopan treatment initiation eGFR slope was observed (change in slope: 7.62 mL/min/1.73 m2/year, P < 0.0001; Table 2). Subgroup analyses demonstrated an improvement in post-iptacopan treatment initiation eGFR slope in participants with baseline eGFR <90 mL/min/1.73 m2 (eGFR slope change: 12.98 mL/min/1.73 m2/year, P < 0.0001) but not in participants with baseline eGFR ≥90 mL/min/1.73 m2 (eGFR slope change: 0.57 mL/min/1.73 m2/year, P = NS; Table 2). In the subgroup with eGFR ≥90 mL/min/1.73 m2, the eGFR slope was only minimally negative in the prior to treatment with iptacopan period and remained unchanged post-iptacopan treatment initiation. These pooled data are consistent with eGFR slopes from the individual studies. Conclusion The findings from this pooled analysis indicate that in patients with native C3G, treatment with iptacopan 200 mg b.i.d. resulted in the stabilization of eGFR trajectory, with significant change observed in patients with at least mild renal impairment from C3G disease at baseline (<90 mL/min/1.73 m2) and maintenance of stable eGFR in those with normal baseline eGFR (≥90 mL/min/1.73 m2). eGFR slope analysis has demonstrated valuable utility in monitoring kidney function over time, and these data suggest iptacopan treatment results in a long-term, clinically relevant positive impact on kidney function.

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)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.006
GPT teacher head0.238
Teacher spread0.232 · 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 designObservational
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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Citations1
Published2025
Admission routes1
Has abstractyes

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