P793 Infliximab and prevention of colectomy in acute severe ulcerative colitis: an individual patient data meta-analysis
Bibliographic record
Abstract
Abstract Background Infliximab (IFX) is used to treat patients with acute severe ulcerative colitis (ASUC) who fail to respond to intravenous corticosteroid therapy. Yet, a significant proportion of patients does not respond adequately and requires colectomy. Our aim was to explore baseline predictors of colectomy-free survival during IFX rescue therapy in patients with steroid-refractory ASUC. Methods We performed an individual patient data meta-analysis (IPDMA) with data retrospectively collected from hospitalised, corticosteroid-refractory patients diagnosed with ASUC (based on Truelove and Witts’ criteria) who received IFX rescue therapy. Baseline characteristics including sex, smoking status, disease extent, disease duration, Mayo endoscopic subscore, serum albumin, C-reactive protein, haemoglobin, and white blood count were evaluated as predictors of colectomy-free survival at three and twelve months after start of IFX therapy. Data were analysed using R software (v4.2.0). Results Data were collected from six centres contributing a total of 140 patients (Table 1). Fifteen patients (10.7%) required colectomy within three months and another eight patients underwent colectomy by one year (total colectomy rate after one year 16.4%) (Figure 1). No baseline predictors of colectomy-free survival were identified (log-rank P>0.05). Patients who received intensified IFX induction therapy (n=64, >5 mg/kg), in contrast to patients on regular induction doses of 5 mg/kg at weeks 0-2-6 (n=49), did not have lower rates of colectomy. A total of 53 IFX serum trough concentrations (TC) were measured in 31 patients. The median IFX TC during weeks (w)1-2 of therapy was 13.5 mg/L (interquartile range [IQR] 9.3-16.3 mg/L), and 7.0 (IQR 1.9-12.0) mg/L during w3-6. Target attainment rates were 8.3% (1/12 patients) and 18.2% (2/11 patients), respectively, towards the previously reported IFX TC targets of 28.3 mg/L at w2 and 15.0 mg/L at w6 for achieving endoscopic remission at w12.1 IFX TCs during induction were not significantly different between patients who received standard and intensified induction therapy. Conclusion Colectomy rates remain a significant burden of ASUC even for patients receiving IFX. In our interim IPDMA, we did not identify baseline predictors of colectomy-free survival. Poor target attainments of the previously established concentration targets demand dose optimisation. Pharmacometrics modelling of the IFX dose-exposure-biomarker/measure-response relationship within the spECTRUM consortium (DEFINE study) will facilitate dose-finding simulations to demonstrate the value of model-informed therapeutic drug monitoring. References: 1. Papamichael et al. Clin Gastroenterol Hepatol. 2016.
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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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.042 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".