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Record W4391165271 · doi:10.1093/ecco-jcc/jjad212.0654

P524 Etrasimod shows low risk of adverse events following concomitant use with opioids or antidepressants in patients with ulcerative colitis

2024· article· en· W4391165271 on OpenAlexaff
Anita Afzali, Miguel Regueiro, Andrés Yarur, Yamile Zabana, Siew C. Ng, Sujatha Menon, A McDonnell, Krisztina Lazin, Michael J. Keating, Abhishek Bhattacharjee, Diogo Branquinho, Eustratios Bananis, Laurent Peyrin‐Biroulet

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsUlcerative colitisConcomitantAdverse effectMedicineInternal medicinePsychiatryGastroenterologyDisease

Abstract

fetched live from OpenAlex

Abstract Background Etrasimod is an oral, once-daily (QD), selective sphingosine 1-phosphate (S1P)1,4,5 receptor modulator for the treatment of moderately to severely active ulcerative colitis (UC). Unlike the other S1P receptor modulator approved for UC, etrasimod and its metabolites do not have a molecular structure to inhibit monoamine oxidase (MAO).1 Coadministration of drugs that inhibit MAO with opioids and antidepressants may increase the risk of adverse events (AEs), including hypertension.2 This post hoc analysis evaluated the incidence of AEs potentially related to serotonin syndrome in patients taking etrasimod and concomitant opioids or antidepressants in the phase 3 ELEVATE UC 52 (NCT03945188) and ELEVATE UC 12 (NCT03996369) trials. Methods Safety data pooled from both trials were analysed in patients receiving etrasimod 2 mg QD (up to 52 weeks of exposure) with/without concomitant opioids or antidepressants. We report the proportions of patients who had ≥1 concurrent AE potentially related to serotonin syndrome, consisting of one standardised MedDRA Query, one query based on the Hunter Criteria and supplemental preferred terms (pyrexia, tachycardia and hypertension-related AEs).3 Results Among 527 patients receiving etrasimod, 77 (14.6%) and 35 (6.6%) patients were taking concomitant opioids or antidepressants, respectively. Most patients on concomitant opioids or antidepressants were White (80.0–88.3%); male (50.6–51.4%); their median age was 35.0 (18.0–70.0) and 41.0 (19.0–74.0) years, respectively. More patients with vs without concomitant opioids or antidepressants, respectively, consumed alcohol (40.3% vs 24.7% and 48.6% vs 25.4%) and used tobacco (40.3% vs 20.9% and 34.3% vs 23.0%). The incidence of other AEs potentially related to serotonin syndrome was low and generally comparable in all subgroups; reported rates of pyrexia and tachycardia were similar in patients with/without concomitant opioids or antidepressants (Table). Hypertension-related AEs were infrequent and generally balanced. No AEs per the Hunter Criteria were reported in patients on concomitant opioids or antidepressants (Table). No reported AEs were serious or led to treatment discontinuation among patients taking these concomitant medications. Conclusion The incidence of AEs was low and comparable in patients receiving etrasimod with or without concomitant opioids or antidepressants. This analysis supports the low likelihood of clinically relevant drug–drug interactions between etrasimod and medications commonly prescribed to patients with UC, such as opioids or antidepressants. References 1. Lee CA et al. Clin Pharmacol Drug Dev 2023; 12: 553–571. 2. Sands BE et al. J Crohns Colitis 2023; online ahead of print. 3. Dunkley EJC et al. QJM 2003; 96: 635–642.

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 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)0.000
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 score0.017
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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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Citations0
Published2024
Admission routes1
Has abstractyes

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