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Record W2913750266 · doi:10.1093/ecco-jcc/jjy222.092

DOP58 IdeaL: a multi-centre prospective infliximab dose to level pharmacokinetic study during induction in paediatric Crohn’s disease

2019· article· en· W2913750266 on OpenAlexaffabout
Geraldine Huynh, Matthew Carroll, Anne M. Griffiths, A Petrova, Connie Prosser, Cheryl Kluthe, Jennifer deBruyn, Diane Tomalty, Diane R. Mould, Eytan Wine, Hien Q. Huynh

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryAlberta Health ServicesUniversity of ManitobaChildren's Hospital Research Institute of ManitobaUniversity of TorontoSickKids FoundationStollery Children's HospitalHospital for Sick ChildrenUniversity of Alberta
Fundersnot available
KeywordsMedicineInfliximabPharmacokineticsFaecal calprotectinInternal medicineTrough levelTrough ConcentrationGastroenterologyCrohn's diseasePopulationInflammatory bowel diseaseProspective cohort studySurgeryCalprotectinDisease

Abstract

fetched live from OpenAlex

Infliximab (IFX) is an effective therapy for Crohn's disease (CD), but pharmacokinetic data during induction are sparse. The objective of this study was to model the pharmacokinetic (PK) and use individual clearance (CL) estimates to explore relationships between PK and clinical remission in children with CD receiving IFX induction. A prospective study was conducted at 3 Canadian Children IBD Network sites. Baseline data collected included simple endoscopic score (SES-CD) and weighted Paediatric CD Activity index (wPCDAI). IFX doses ranged 5 to 10 mg/kg. Up to 8 IFX levels per subject were collected: trough and peak at doses 2 and 3, trough prior dose 4, between doses 3 and 4, and trough prior to dose 5. Free antibody to IFX (ATI) levels measured at doses 3, 4, and 5. Faecal calprotectin (FCP), wPCDAI, CBC, albumin (ALB), ESR, and CRP samples were also collected at each dose. NONlinear Mixed Effects Modelling was used to develop a population PK model using standard model building approaches. Covariate factors had to be significant at p < 0.001 and clinically relevant (>20% change in CL) to be retained. Dose and frequency may be adjusted clinically or based on preceding trough levels. Thirty-five subjects, 18 males, were recruited and followed for up to 22 weeks over 5 doses. Median age was 12.3 years (IQR: 10.2–14.8). Median dose for Dose 1 was 6.0 mg/kg (IQR: 5.0–7.0) and increased to 7.0 mg/kg (IQR: 5.0–8.3) for Dose 5. Eighty per cent of patients did not follow the standard induction and maintenance regimen of 0, 2, 6, and 14 weeks. Dose 4 had the most variability in frequencies with the median of Q6W. IFX CL was marked varied between subjects and improved during follow-up. Median baseline CL was 0.31 (IQR: 0.24,0.40). During single covariate evaluations, the following factors were identified as potentially predictive of IFX CL: ALB (negative correlation) and FCP, CRP, SES-CD, wPCDAI, and ESR (positive correlation). On back elimination, only ALB and CRP were important predictors. CL had a nonlinear correlation with weight where CL/kg was higher in those weigh < 30 kg vs. those >30 kg (p = 0.005). Twenty-nine subjects (83%) went into complete remission (wPCDAI <12.5). IFX CL of ≤0.39 l/day was a good predictor of remission status determined by wtPCDAI at Dose 5 (AUC [95% CI] = 0.828[0.63–1.00], p = 0.013). ATI levels drawn at Doses 4 and 5 were all negative. IFX CL is variable and affected by factors including weight, ALB, disease activity and endoscopic severity. Under dosing is common in lower age bracket, due to higher drug CL/kg using current weight-based dosing. Paediatric IBD patients may benefit from precision medicine using PK model-based (dashboard) dose adjustments where individualised dosing can be calculated based on individual patient factors.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.263
Teacher spread0.253 · 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
Published2019
Admission routes2
Has abstractyes

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