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P193 Clinical features of patients with active ankylosing spondylitis who did not respond to adalimumab but responded to ixekizumab: a post-hoc analysis

2021· article· en· W3159707144 on OpenAlexaboutno aff
Xenofon Baraliakos, Rebecca Bolce, David Sandoval Calderon, Soyi Liu Leage, Vladimir Geneus, David H. Adams, Atul Deodhar, Jessica A. Walsh, Joachim Sieper

Bibliographic record

VenueLara D. Veeken · 2021
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsIxekizumabMedicineAnkylosing spondylitisAdalimumabPlaceboPost-hoc analysisBASDAIPost hocInternal medicinePhysical therapyTumor necrosis factor alphaSecukinumabPathologyDiseaseAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Background/Aims Biologic treatment in ankylosing spondylitis (AS) are currently limited to TNF and IL-17A inhibitors (IL-17Ai). It is unknown whether there are predictors of AS patients who only respond to 1 of these mechanisms of action or respond to switching from TNF-blocker to IL-17Ai. This post-hoc analysis evaluated whether patients who did not respond to TNF inhibitor adalimumab (ADA) but did subsequently respond to IL-17Ai ixekizumab (IXE) differed from those that responded to both ADA and subsequent IXE. Methods The analysis included patients from the phase-3 COAST-V trial in bio-naive patients with active AS (BASDAI≥4 and back pain≥4 on VAS of 0-10). There were 341 patients randomized 1/1/1/1 to IXE80mg/2weeks (wks) (Q2W), IXE 80mg/4wks (Q4W), ADA 40mg Q2W (reference arm), and placebo (PBO) for the 16-week blinded-treatment period. Of these, 329 entered the dose double-blind extended treatment period (wks16 to 52). Those who received PBO or ADA were re-randomized to receive IXE 80mg Q4W or Q2W. Patients were stratified as responders or non-responders based on their Assessment of Spondyloarthritis International Society (ASAS) 40 response at wks16 and 52. Data for the 2 IXE dose groups were pooled. Results Overall, more patients responded to IXE than ADA at wk16. Based on ASAS40 response at wks16 and at wk52, 30.9% of patients responded to both initial ADA and subsequent IXE, 23.5% of patients did not respond to initial ADA but did respond to subsequent IXE, 45.9% of patients responded to IXE at both time points, and 12.3% of patients did not respond to IXE at wk16 but did so at wk52. Across the groups, patients were of similar age and predominantly males, though there were proportionally more women among those who did not respond to either ADA or IXE at wk16. However, ADA non-responders at wk16/IXE responders at wk52 had numerically lower baseline (mean[SD]) C-reactive protein (11.2 [11.2]), lower MRI Spondyloarthritis Research Consortium of Canada (SPARCC) scores of the spine (11.6 [12.1]), and lower MRI SPARCC score of the sacroiliac joints (1.1 [2.2]) than ADA responders at wk16/IXE responders at wk52 patients (16.0 [17.1], 24.6 [32.6], and 5.5 [9.8]), respectively. Conclusion In this analysis, patients who did not respond to ADA but subsequently responded to IXE exhibited overall lower levels of inflammation, as measured by CRP and MRI of the spine or sacroiliac joints, compared with patients who responded on ADA and also after switching to IXE. Along with comparative findings in patients who continuously received IXE and responded at both wks16 and 52 or wk52 only, these data indicate that IXE is efficacious in patients with active AS irrespective of inflammation level, assessed by CRP and MRI. Alternatively, lower baseline inflammation may be a predictor of delayed response. Disclosure X. Baraliakos: Consultancies; X. Baraliakos has served as a consultant for AbbVie, Bristol-Myers Squibb, Celgene, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Roche, and UCB Pharma. Grants/research support; X. Baraliakos has received research grants from AbbVie, Bristol-Myers Squibb, Celgene, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Roche, and UCB Pharma. R. Bolce: Shareholder/stock ownership; R. Bolce is a shareholder and employee of Eli Lilly and Company. D. Sandoval Calderon: Shareholder/stock ownership; D. Sandoval Calderon is a shareholder and employee of Eli Lilly and Company. S. Liu Leage: Shareholder/stock ownership; S.L. League is a shareholder and employee of Eli Lilly and Company. V. Geneus: Shareholder/stock ownership; V. Geneus is a shareholder and employee of Eli Lilly and Company. D. Adams: Shareholder/stock ownership; D. Adams is a shareholder and employee of Eli Lilly and Company. A. Deodhar: Consultancies; A. Deodhar has served as a consultant for AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly and Company, Galapagos NV, GlaxoSmithKline, Janssen, Novartis, Pfizer, and UCB Pharma. Grants/research support; A. Deodhar has received grants from AbbVie, Eli Lilly and Company, GlaxoSmithKline, Novartis, Pfizer, and UCB Pharma. J. Walsh: Consultancies; J. A. Walsh has received consultancy fees from AbbVie, Eli Lilly and Company, Novartis, and UCB Pharma. Grants/research support; J. A. Walsh has received grant/research support from AbbVie and Pfizer. J. Sieper: Consultancies; J. Sieper is a consultant for: AbbVie, Eli Lilly and Company, Novartis, Merck, Janssen, Pfizer. Other; J. Sieper has served as a speaker for: AbbVie, Janssen, Novartis, Merck, Pfizer, and UCB.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.310
Teacher spread0.292 · 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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Citations0
Published2021
Admission routes1
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