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Record W2792646397 · doi:10.1093/jcag/gwy009.157

A157 THE THRESHOLD FOR INFLIXIMAB TROUGH LEVELS LEADING TO DOSE ESCALATION DIFFERS BETWEEN CROHN’S DISEASE AND ULCERATIVE COLITIS

2018· article· en· W2792646397 on OpenAlexaffabout
T A Cookson, Richard N. Fedorak, Brendan P. Halloran, Levinus A. Dieleman, Karen Wong, Vivian Huang, Farhad Peerani, Karen I. Kroeker

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInfliximabTherapeutic drug monitoringUlcerative colitisTrough levelRetrospective cohort studyConfidence intervalInternal medicineDiseasePharmacokinetics

Abstract

fetched live from OpenAlex

Therapeutic drug monitoring (TDM) of infliximab (IFX) provides an objective measure that allows physicians to optimize the dose for patients on biologic therapies and potentially reduce loss of response (LOR). The currently accepted therapeutic range is 3 – 7 μg/mL. With the potential for LOR with low drug levels and the high cost of IFX, it is important to manage medications efficiently. To better understand how physicians at the University of Alberta Hospital are using TDM, we conducted a retrospective chart review to see the clinical decisions made in response to TDM. Major clinical decisions include: no change, dose escalate (increase in dose or shorten interval), reload (2 extra doses 2 weeks apart), or dose de-escalate (decrease in dose or lengthen interval). To measure the proportion of IFX trough levels that lead to a clinical change in therapy and compare how the cut-offs used to change therapy vary by disease type. This is a retrospective chart review of all IBD patients (17+ years) on IFX at the University of Alberta IBD Clinic who had at least one trough level measured between 2015 and 2017. Charts were reviewed for demographic data, TDM drug levels, and any clinical decisions relating to the drug levels. Numerical data and categorical data are presented as a mean (standard deviation) and proportions, respectively, using t-tests and Chi-squared tests. Statistical significance is assessed at p<0.05. The information of 758 drug levels was collected from 402 patients. Demographic data for the drug levels included: 51.7% male; 72.1% Crohn’s disease; mean age of 38.9 (±14.8). 54.5% of all levels had the patient on concomitant immunosuppressants. Of all trough levels, 344 (45.4%) led to a clinical change in therapy. A majority (52.7%) of trough levels that had an elevated fecal calprotectin (FCP) of >250μg/g led to a dose escalation (p<0.001). Drug levels with positive IFX antibodies (ATIs) correlate to switching to a new biologic (p=0.042) where the mean ATI level was 3.00 (3.39). Table 1 shows the mean IFX level for clinical changes made by disease type. Physicians at the University of Alberta IBD Clinic use FCP, a therapeutic range of ~3 – 14 μg/mL, and the presence of antibodies as major factors in making clinical changes in IFX therapy for patients with IBD. Cut-offs used to reload and dose escalate are significantly higher in UC patients compared to CD patients. Table 1. Mean infliximab level for each clinical change and how they vary by CD and UC Department of Medicine Clinical Research and Projects Studentship Grant

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)0.015
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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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