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Record W2587532087 · doi:10.1093/ecco-jcc/jjx002.567

P442 Incidence of pneumonia and other respiratory tract infections with vedolizumab treatment for inflammatory bowel disease: clinical trial experience

2017· article· en· W2587532087 on OpenAlexaff
Brian G. Feagan, Fatima Bhayat, Javaria Mona Khalid, William Palo, Aimee Blake, Michael A. Shetzline, Simon Travis

Bibliographic record

VenueJournal of Crohn s and Colitis · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsMedicineVedolizumabInternal medicinePneumoniaRespiratory tract infectionsUlcerative colitisInflammatory bowel diseaseLower respiratory tract infectionPopulationIncidence (geometry)PlaceboGastroenterologyImmunologyDiseaseRespiratory systemPathology

Abstract

fetched live from OpenAlex

Background: Vedolizumab (VDZ) is a humanised monoclonal antibody that binds to α4β7 integrin and selectively blocks gut-specific lymphocyte trafficking. Although upper respiratory tract infections (URTIs) have been reported with VDZ [1] its gut selectivity may reduce the risk of respiratory tract infections (RTIs), including pneumonia, compared with therapies producing systemic immunosuppression (e.g. anti-tumour necrosis factor-alpha [TNFα] agents). We aimed to determine the incidence of RTIs associated with VDZ treatment in the clinical trial setting. Methods: Safety data from VDZ phase 3 randomised controlled trials (RCTs) in ulcerative colitis (UC; GEMINI 1) and Crohn's disease (CD; GEMINI 2) and a phase 3 open-label extension (OLE; C13008 ongoing study in both UC and CD) were used to calculate the incidence of lower RTIs (LRTIs), including pneumonia, and URTIs using the MedDRA High Level Terms “lower respiratory tract and lung infections” and “upper respiratory tract infections”. A Cox proportional hazards model was used to identify potential predictors of these AEs for the pooled GEMINI 1 and 2 results. Results: Of 1731 patients in the pooled RCT population and 2243 patients in the OLE, mean (SD) ages were 37.9 (12.7) years and 39.1 (13.2) years, respectively; 43% and 50%, respectively, had disease duration ≥7 years; and 57% and 59%, respectively, had prior anti-TNFα therapy. In the RCTs, the rate of LRTIs, including pneumonia, was similar in the VDZ and placebo groups (Table 1). Rates of LRTIs were higher for VDZ-treated patients with CD than with UC. Most LRTI and URTI AEs were not serious and did not result in treatment discontinuation. Predictors of increased incidence of LRTIs were identified as being a current or former smoker, female sex and prior anti-TNFα therapy (Table 2). Predictors of URTIs were: being a current smoker, concomitant narcotic use and prior anti-TNFα therapy. Table 1. Incidence of LRTIs and URTIs – number of patients with AEs in the maintenance phase (time-adjusted incidence rate per 100 patient-years) Table 2. Predictors of LRTI AEs in GEMINI 1 and GEMINI 2 Conclusions: In this post hoc analysis, VDZ treatment of IBD was not associated with an increased incidence of LRTIs, including pneumonia, compared with placebo. Continuing pharmacovigilance will supplement these data and ongoing observational studies will further characterise these findings. References: [1] Takeda Pharmaceuticals America, Inc. (2014), ENTYVIO® (vedolizumab) Prescribing Information

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)0.020
metaresearch head score (Gemma)0.018
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 score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.343
Teacher spread0.313 · 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
Published2017
Admission routes1
Has abstractyes

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