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POS0023 PERFORMANCE OF BASDAI VS. ASDAS IN EVALUATING AXIAL INVOLVEMENT IN PATIENTS WITH PSA TREATED WITH GUSELKUMAB: POOLED ANALYSIS OF TWO PHASE 3 STUDIES

2023· article· en· W4379522682 on OpenAlexaff
Xenofon Baraliakos, Dafna D. Gladman, Soumya D. Chakravarty, Cinty Gong, M. Shawi, Emmanouil Rampakakis, Mitsumasa Kishimoto, Enrique R. Soriano, P. J. Mease

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsMcGill UniversityToronto Western Hospital
Fundersnot available
KeywordsMedicineBASDAIInternal medicineArthritisPsoriatic arthritis

Abstract

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<h3>Background</h3> Although the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is used to assess the activity of axial disease in patients (pts) with psoriatic arthritis (PsA), only one of its questions is specific to axial symptoms. Alternatively, the Ankylosing Spondylitis Disease Activity Score (ASDAS) excludes assessment of enthesitis, gives less weight to peripheral activity and is considered more objective than the BASDAI. <h3>Objectives</h3> The current post hoc analysis aimed to compare the performance of BASDAI and ASDAS in evaluating symptoms of axial involvement in pts with axial PsA (axPsA). <h3>Methods</h3> Pts enrolled in the DISCOVER-1 (D1) and DISCOVER-2 (D2) studies were adults with active PsA despite standard therapies. D1 pts had ≥3 swollen and ≥3 tender joints (SJC; TJC) and C-reactive protein (CRP) ≥0.3 mg/dL; D2 pts had SJC ≥5, TJC ≥5 and CRP ≥0.6 mg/dL. 31% of D1 pts received 1-2 prior tumor necrosis factor inhibitors; D2 pts were biologic-naïve. Pts were randomized 1:1:1 to GUS 100 mg every 4 weeks (Q4W); GUS 100 mg at W0, W4, then Q8W; or placebo with crossover to GUS Q4W at W24. axPsA was defined by presence of sacroiliitis based on previous radiograph or magnetic resonance (MR) imaging confirmation. Data were pooled across all treatment groups. In addition to BASDAI and ASDAS, modified versions excluding the peripheral arthritis and enthesitis questions (mBASDAI) and the peripheral arthritis question (mASDAS) were calculated. Normalized (scale of 0-10) versions of ASDAS and mASDAS were calculated based on maximum scores of ≈7 and ≈6.3, respectively. The correlation of BASDAI/mBASDAI and ASDAS/mASDAS with SJC, TJC, enthesitis, Functional Assessment of Chronic Illness Therapy (FACIT)-fatigue, pt pain, pt global, and physician global was assessed with Pearson’s correlation coefficient. The cross-sectional and longitudinal (W52) effects of Leeds enthesitis index (LEI), SJC, and axPsA on BASDAI/mBASDAI and ASDAS/mASDAS were assessed with mixed models. <h3>Results</h3> 436 pts with available baseline (BL) BASDAI information were included in the analysis. In pts with axPsA, BASDAI showed weak correlation with SJC, TJC, LEI, and physician global; moderate correlation with fatigue; and strong correlation with pt global and pt pain. Similar results were observed for ASDAS and modified versions. Among pts without axPsA, correlations of BASDAI and ASDAS with SJC, TJC, and LEI remained weak; correlations with pt global and pt pain remained strong. Longitudinally, among pts with and without BL enthesitis, respectively, LEI and SJC showed significant but not clinically important associations with either outcome. Presence of axial disease was associated with significantly greater BASDAI and ASDAS scores, at BL and longitudinally, without differences in the incremental effect on BASDAI, normalized ASDAS, or their modified versions. <h3>Conclusion</h3> In pts with axPsA, the BASDAI and ASDAS performed similarly, with both demonstrating weak correlations with peripheral arthritis and moderate/strong correlations with pt fatigue and pain. The BASDAI and ASDAS also showed similar ability to discern changes in axial disease activity. These results suggest that both BASDAI and ASDAS are valid, and perform comparably, in assessing activity of axial disease in PsA pts. <h3>REFERENCES:</h3> NIL. <h3>Acknowledgements:</h3> NIL. <h3>Disclosure of Interests</h3> Xenofon Baraliakos Consultant of: AbbVie, Chugai, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, MSD, and Novartis, Dafna D Gladman Consultant of: BMS, Galapagos, Gilead, and Novartis, Grant/research support from: AbbVie, Amgen, Eli Lilly, Janssen, Pfizer, UCB, Soumya D Chakravarty Employee of: Janssen Scientific Affairs, LLC and shareholder in Johnson &amp; Johnson, of which Janssen Scientific Affairs, LLC is a wholly-owned subsidiary, Cinty Gong Employee of: Janssen Scientific Affairs, LLC and shareholder in Johnson &amp; Johnson, of which Janssen Scientific Affairs, LLC is a wholly-owned subsidiary, May Shawi Shareholder of: Johnson &amp; Johnson, Employee of: Janssen Pharmaceutical Companies, a wholly-owned subsidiary of Johnson &amp; Johnson, Emmanouil Rampakakis Consultant of: Janssen, Employee of: JSS Medical Research, Mitsumasa Kishimoto Speakers bureau: AbbVie, Amgen, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, Tanabe-Mitsubishi, and UCB Pharma, Consultant of: AbbVie, Amgen, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Novartis, Pfizer, Tanabe-Mitsubishi, and UCB Pharma, Enrique Soriano Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Janssen, Novartis, and Roche, Grant/research support from: AbbVie, Janssen, Novartis, Pfizer, Roche, and UCB, Philip J Mease Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Consultant of: AbbVie, Aclaris, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Inmagene, Janssen, Novartis, Pfizer, Sun Pharma, and UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun Pharma, and UCB.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.338
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.169
GPT teacher head0.466
Teacher spread0.297 · 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 teacher head, 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
Published2023
Admission routes1
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