P442 Incidence of pneumonia and other respiratory tract infections with vedolizumab treatment for inflammatory bowel disease: clinical trial experience
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".