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Record W4323350797 · doi:10.1093/jcag/gwac036.203

A203 EARLY PROACTIVE DRUG MONITORING STRATEGY OF INFLIXIMAB AS MONOTHERAPY FOR INFLAMMATORY BOWEL DISEASE IN PAEDIATRIC PATIENTS IS ASSOCIATED WITH GOOD SUSTAINED CLINICAL REMISSION

2023· article· en· W4323350797 on OpenAlexaffabout
C. Girard, S Ackhar, Samuel Sassine, Laurence Chapuy, Prévost Jantchou, C Deslandres

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsMontreal Children's HospitalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineInfliximabInternal medicineTherapeutic drug monitoringInflammatory bowel diseaseTrough levelRetrospective cohort studyGastroenterologyMaintenance therapySurgeryDiseasePharmacokineticsChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background Monotherapy with Infliximab (IFX) can be as efficient as combotherapy with immunomodulators in the treatment and maintenance of remission for children with inflammatory bowel disease (IBD) if an early proactive therapeutic drug monitoring strategy is adequately performed. This strategy may allow optimization of blood levels of IFX in order to obtain a sustained clinical response. Purpose This study demonstrated that with appropriate early trough levels of IFX before dose #3 and dose #4 , monotherapy was very efficient in inducing remssion at week 52 . Method A retrospective study was conducted at CHU Sainte-Justine, Montréal,Canada .Children with IBD 2 to 18 years old diagnosed between 01/2018 and 06/2020 and treated with IFX less than 30 days after diagnosis were included .IFX blood levels were collected before the 3rd and/or 4th dose of IFX and regularly thereafter. Adjustments were done in IFX dose per infusion according to blood levels and clinical response. The primary outcome was clinical remission at one year after diagnosis.The secondary outcomes included: (1) At 52 weeks, the median (IQR) dose of IFX (mg/kg) and the intervals between IFX infusions ; (2) the median (IQR) number of IFX dose changes and the median (IQR) number of blood trough levels of IFX done. Result(s) 101 patients were included : 56.4% males; 81CD; 18 UC; 2 IBDU. Mean age at diagnosis was 13.2 years (IQR = 11.20 to 15. 20). Median time to IFX initiation after diagnosis was 5 days (IQR :3-14).Median IFX dose #1: was 8.4 mg/kg (IQR = 5. 8 to 10). 90% of patient had an IFX optimisation (increasing dose and/or shortening intervals) after dose 3 or dose 4. At week 52, 36,5% of patients were receiving IFX infusion every 4 weeks and 30,6% every 6 weeks. The median IFX dose per infusion was 8,9mg/kg (IQR = 7.4- 9,8 ). The IFX doses at week 52 varied greatly according to age at diagnosis The median number of IFX blood level dosage was 4 per patient over a year (IQR=3-5).At week 52, 83 patients (84.6%) achieved clinical remission with a median IFX level of 10.96 (7.05-15.59). 74 /83 (89%) were on monotherapy and 9/83(10.8%) on combotherapy Image Conclusion(s) Early treatment for IBD with IFX as monotherapy and an early proactive optimization strategy is associated with a good sustained steroid free clinical remissionAt week 52, 83 patients (84.6%) achieved clinical remission with a median IFX level of 10.96 (7.05-15.59). 74 /83 (89%) were on monotherapy and 9/83(10.8%) on combotherapy.The majority of the patients required IFX optimization during their first year of treatment. We therefore recommend to proactively monitor blood levels of IFX before the third and fourth dose of IFX and thereafter, in order to lower the risk of treatment failure and anti-infliximab antibodies occurrence. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest C. Girard: None Declared, S. Ackhar: None Declared, S. Sassine: None Declared, L. Chapuy: None Declared, P. Jantchou: None Declared, C. Deslandres Speakers bureau of: moderator and speaker Abbvie and Janssen

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.328
Teacher spread0.303 · 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 teacher head, 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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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