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Record W2789516389 · doi:10.1093/ecco-jcc/jjx180.670

P543 Higher post-induction infliximab serum trough levels are associated with healing of fistulising perianal Crohn’s disease in children

2018· article· en· W2789516389 on OpenAlexaffabout
Thomas D. Walters, Hien Q. Huynh, Jennifer deBruyn, D Mack, Kevan Jacobson, Mary Sherlock, Peter Church, Eytan Wine, Matthew Carroll, Eric I. Benchimol, Sally Lawrence, Anne M. Griffiths

Bibliographic record

VenueJournal of Crohn s and Colitis · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcMaster UniversityUniversity of OttawaUniversity of CalgaryUniversity of AlbertaHospital for Sick ChildrenBC Children's HospitalCanadian Nutrition SocietyUniversity of TorontoSickKids FoundationUniversity of Manitoba
Fundersnot available
KeywordsMedicineInfliximabCohortTrough levelCrohn's diseaseInternal medicineCohort studyDiseaseGastroenterologyProspective cohort studySurgery

Abstract

fetched live from OpenAlex

There are no data regarding the association of response of fistulising perianal Crohn’s disease (PCD) with serum infliximab (IFX) levels in children. In a multi-centre national inception cohort using prospectively collected data, we aimed to determine serum trough IFX levels at starting maintenance (pre-dose 4) that are associated with healing of fistulising PCD at Week 24. The Canadian Children IBD Network brings together 12 academic paediatric IBD centres from across Canada. Patients younger than 17 years of age presenting with new-onset IBD were enrolled in an inception cohort study. Baseline and longitudinal phenotypic data were prospectively collected using standardised forms, which included a “perianal disease report form”. Consecutive children with fistulising PCD identified via clinical and/or magnetic resonance pelvic examination and treated with IFX between April 2013 and June 2017 and had IFX trough pre-dose 4 levels measured were included in the study. Response was defined as cessation or significant improvement of fistula drainage as defined by physician assessment. Correlation between IFX levels and response of fistulising PCD at Week 24 was examined using Pearson correlation analysis. Area under the receiver-operating characteristic curve (AUROC) was determined, with sensitivity and specificity calculated for the best cut-off of IFX level. A total of 667 children with Crohn’s disease were recruited with 85 (12.7%) patients diagnosed with fistulising PCD. Twenty-seven (mean age 12.5 + 5.1 years, 63% males) of 52 (52%) children with fistulising PCD on IFX had their pre-dose 4 IFX trough levels measured. All patients received three induction doses (median 6 mg/kg) of IFX at 0, 2, 6 weeks with dose 4 given at a median time interval from dose 3 of 50 days. At Week 24, 14 of 27 (52%) patients were classified as respondents with healing/healed PCD while the rest had on-going active fistulising PCD. The median IFX trough pre-dose four level in the respondents was 12.7 μg/ml (interquartile range (IQR) = 6.6–15.5) compared with 5.4 μg/ml (IQR = 2.7–8.4) in the active disease group (p = 0.02). There was a strong correlation between IFX level and healing of fistulising PCD at Week 24 (r = 0.65, p < 0.001). AUROC was 0.80 (95% confidence interval 0.64–0.97, p = 0.007) for pre-dose four level to predict response of fistulising PCD at Week 24, and a level of 12.7 μg/ml predicted fistula healing at Week 24 with sensitivity 0.62 and specificity 0.65. Following induction phase, higher trough IFX levels are associated with a better outcome for fistulising PCD in children. Our results need to be confirmed in larger prospective studies that include measurements of IFX levels and antibodies during the induction phase.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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