MétaCan
Menu
← Back to cohort

S754 Impact of Mirikizumab Treatment on Health-Related Quality of Life in Patients With Crohn’s Disease: A Phase 2 Study Analysis Using the SF-36

2022· article· en· W4316086211 on OpenAlexaff
Vipul Jairath, Toshifumi Hibi∥, Lai-Shan Chan, Hilde Carlier, Xian Zhou, Marijana Protić, David T. Rubin

Bibliographic record

VenueThe American Journal of Gastroenterology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyPlaceboMaintenance therapyPathology

Abstract

fetched live from OpenAlex

Introduction: This analysis evaluated Mirikizumab (miri) effects on Short Form Health Survey (SF-36) in the Phase (Ph)2 randomised, double-blind, parallel, placebo (PBO)-controlled study in patients (pts) with moderately-to-severely active Crohn’s disease (CD). Methods: 12-Week(W) Induction: 191 pts were randomized 2:1:1:2 to 4 treatment arms: intravenous (IV) PBO, 200, 600, or 1000mg miri every 4 weeks (Q4W; W0, 4, and 8). 40-W Maintenance: For miri induction dose, pts achieving ≥1-point improvement in Simple Endoscopic Score for CD (SES-CD) at W12 were re-randomized 1:1 to double-blind maintenance treatment from W12 to W48: continuation of induction IV treatment assignment (IV-IV; N=41) or subcutaneous (SC) 300mg miri Q4W (IV-SC; N=46). Due to small sample sizes, maintenance IV arms and SC arms were pooled. W12 SES-CD non-improvers (N=30) and pts receiving PBO during induction (N=59) received IV 1000mg miri Q4W from W12 to W48. No statistical comparisons were made between miri treatment groups in the maintenance period. SF-36 was assessed at baseline and at W4,12,16, 24, 32, 44, and 52. Results: Statistically significant improvement in MCS was observed at W4 (600mg dose level) and at W12 (all dose levels), whereas statistically significant improvements in PCS were observed only at W12 (600 and 1000mg dose levels) compared to PBO (Table). Though statistical comparisons were not made between treatment groups during maintenance, comparison of mean changes in MCS and PCS suggest that improvements during induction were sustained or further numerically increased with miri maintenance treatment, even in induction SES-CD non-improvers (Table). Conclusion: These data show that miri treatment improves health related quality of life in pts with moderately to severely active CD and suggest an earlier impact on mental compared to physical wellbeing. Maintenance treatment effects were numerically consistent or increased compared to induction effects, even among more refractory pts. These findings will be validated in the ongoing miri Ph3 CD study (NCT03926130). Proinflammatory signals can induce anxiety and depressive symptoms; better understanding of how the effects of anti-inflammatory treatment on the gut-brain axis may improve mental and physical subjective wellbeing requires additional mechanistic studies. Table 1. - Effect of mirikizumab on SF-36 MCS and PCS Change from Baseline Mental Component Score (MCS) Physical Component Score (PCS) Induction Period PBO (N=64) 200 mg IV miri (N=31) 600 mg IV miri (N=32) 1000 mg IV miri (N=64) PBO (N=64) 200 mg IV miri (N=31) 600 mg IV miri (N=32) 1000 mg IV miri (N=64) W0 Baseline (Mean ± SD) 37.0 ± 13.2 35.2 ± 10.2 41.1 ± 10.4 40.4 ± 11.6 38.9 ± 8.3 38.4 ± 6.4 42.9 ± 7.8 39.5 ± 8.6 W4 CFBL (LSM ± SE) 1.9 ± 1.0 2.6 ± 1.4 5.2 ± 1.4* 3.1 ± 1.0 2.4 ± 0.7 3.3 ± 1.0 3.4 ± 1.0 4.2 ± 0.7 W12 CFBL (LSM ± SE) 2.3 ± 1.1 7.5 ± 1.6* 6.5 ± 1.6* 6.1 ± 1.2* 3.1 ± 0.8 4.7 ± 1.1 8.0 ± 1.1** 6.7 ± 0.8** Maintenance Period PBO-1000 mg IV miri (N=59) NI-1000 mg IV miri (N=30) All IV-IV miri (N=41) All IV-SC miri (N=46) PBO-1000 mg IV miri (N=59) NI-1000 mg IV miri (N=30) All IV-IV miri (N=41) All IV-SC miri (N=46) W0 Baseline (Mean ± SD) 37.2 ±13.0 38.0 ±11.2 42.0 ± 10.1 38.7 ±10.7 39.5 ± 8.1 40.8 ± 8.3 41.1 ± 8.5 38.1 ± 7.1 W24 CFBL (Mean ± SD) 7.4 ± 8.7 7.7 ± 11.7 7.0 ± 10.6 5.9 ± 13.1 6.8 ± 7.3 7.1 ± 7.8 9.6 ± 5.6 7.1 ± 8.3 W52 CFBL (Mean ± SD) 7.1 ± 10.6 7.3 ± 9.8 8.5 ± 11.3 11.5 ± 11.4 9.9 ± 7.2 7.1 ± 8.2 10.2 ± 8.7 10.7 ± 7.9 Abbreviations: CFBL = change from baseline; IV = intravenous; IV-IV = pooled maintenance IV treatment arms for patients at each miri induction dose level who achieved ≥1-point improvement in SES-CD at W12 who were re-randomized to continued induction IV treatment assignment during maintenance; IV-SC = pooled maintenance SC treatment arms for patients at each miri induction dose level who achieved ≥1-point improvement in SES-CD at W12 who were re-randomized to SC 300mg miri Q4W during maintenance; LSM = least squares mean; NI = SES-CD non-improver (a patient who received miri during induction who did not achieve a ≥1-point improvement in SES-CD at W12); PBO = placebo; SC = subcutaneous; SD = standard deviation; SE = standard error; W = week. For statistical comparisons across induction treatment groups, a mixed model for repeated measures was used. The model includes treatment, region, prior biologic CD therapy used, baseline, visit and baseline by visit, and treatment by visit.p-values versus PBO: *p< 0.05; ** p≤0.001. Bolded values are statistically different versus PBO.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.317
Teacher spread0.300 · 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 designNon-randomized trial
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe American Journal of Gastroenterology→Same topicInflammatory Bowel Disease→French-language works237,207→