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Record W4413847656 · doi:10.1016/j.jaip.2025.08.020

Long-Term Safety and Effectiveness of Sebetralstat: Interim Analysis of KONFIDENT-S Open-label Extension

2025· article· en· W4413847656 on OpenAlexaff
John Anderson, Laurence Bouillet, Teresa Caballero, Mauro Cancian, Timothy Craig, Atsushi Fukunaga, Vesna Grivcheva‐Panovska, Mar Guilarte, Daisuke Honda, Henry Kanarek, Sorena Kiani‐Alikhan, Tamar Kinaciyan, Damia Leguevaques, Hilary Longhurst, Markus Magerl, Michael Manning, Inmaculada Martinez‐Saguer, Isaac Melamed, Maeve O’Connor, Jonny Peter, Sinisa Savic, Daniel Soteres, Maria Staevska, Petra Staubach, Marcin Stobiecki, Raffi Tachdjian, Anna Valerieva, Patrick Yong, James Hao, Matthew Iverson, Michael D. Smith, Christopher Yea, Paul K. Audhya, Emel Aygören‐Pürsün, Jonathan A. Bernstein, Danny M. Cohn, William R. Lumry, Marc A. Riedl, Andrea Zanichelli, Marcus Maurer

Bibliographic record

VenueThe Journal of Allergy and Clinical Immunology In Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsInstitute of Infection and Immunity
FundersKalVista Pharmaceuticals
KeywordsMedicineInterimTerm (time)Interim analysisExtension (predicate logic)Clinical trialInternal medicineProgramming languageComputer scienceLaw

Abstract

fetched live from OpenAlex

BACKGROUND: Poor compliance with hereditary angioedema guidelines for on-demand treatment is common due to challenges with parenteral administration. Sebetralstat, an oral plasma kallikrein inhibitor, demonstrated faster times to beginning of symptom relief, reduction in attack severity, and complete resolution than placebo in the phase 3 KONFIDENT trial (NCT05259917). OBJECTIVE: This analysis evaluated long-term safety and effectiveness of sebetralstat in KONFIDENT-S (NCT05505916), an ongoing, 2-year, open-label extension study. METHODS: Enrolled participants aged ≥12 years with hereditary angioedema due to C1-inhibitor deficiency administered sebetralstat 600 mg for each attack, as early as possible, regardless of severity or location. The primary outcome was incidence of treatment-emergent adverse events (TEAEs). Secondary outcomes were times to beginning of symptom relief, reduction in severity, and complete resolution. RESULTS: At data cutoff (January 31, 2024), 84 participants (mean age: 35.9 years; 14.3% <18 years; 64.3% female) treated 640 attacks with sebetralstat (84% of total attacks); the median (interquartile range [IQR]) number of attacks per participant was 5 (2-8). The median (IQR) time from attack onset to treatment was 9 (1-69) minutes. Baseline severity was as follows: 30.0% mild, 43.3% moderate, and 25.0% severe or very severe. Treatment-related TEAEs occurred in 8 participants (9.5%); none were serious. The median time to beginning of symptom relief (allowing for missing data entries between consecutive time points) was 1.68 (0.79-3.89) hours, to reduction in severity 6.57 (1.61 to >12) hours, and to complete attack resolution 21.02 (7.22 to >24) hours. No evidence of a diminished response over repeated treatments of attacks was observed. CONCLUSIONS: Oral sebetralstat enabled compliance with treatment guidelines. No new safety signals were observed, and effectiveness for repeated attacks was consistent with the KONFIDENT trial results.

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)0.018
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.044
GPT teacher head0.422
Teacher spread0.378 · 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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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