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Does Measuring Infliximab and Human Anti-Chimeric Antibody Concentrations in Patients With Inflammatory Bowel Disease Impact Clinical Management? A Canadian Experience.

2012· article· en· W2331856104 on OpenAlexaffabout
Usha Chauhan, Usha Dutta, David Armstrong, Eric Greenwald, John K. Marshall, Frances Tse, Ted Xenodemetropoulos, Halder Smita

Bibliographic record

VenueInflammatory Bowel Diseases · 2012
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsMcMaster UniversityHamilton Health SciencesMcMaster University Medical Centre
Fundersnot available
KeywordsInfliximabMedicineUlcerative colitisInflammatory bowel diseaseDiseaseTumor necrosis factor alphaCrohn's diseaseAntibodyChristian ministryInternal medicineImmunologyGastroenterology

Abstract

fetched live from OpenAlex

Background: Infliximab (IFX) is a chimeric (mouse/human) anti-tumor necrosis factor alpha (anti-TNFa) therapy used for treatment of inflammatory bowel disease (IBD). The main phenotypes of IBD are Crohn's disease (CD) and Ulcerative colitis (UC). On biological therapy, patients may become unresponsive to therapy or develop side effects. The reasons for which may be sub-therapeutic drug levels or development of Human Anti-Chimeric Antibodies (HACA). Objective assessment of these two parameters would help guide therapy in some complex patients with IBD. An HACA serum assay is commercially available through Prometheus Laboratories, Inc., San Diego, CA. In Canada, the Ministry of Health and Long Term Care in Ontario (MOHLT) has granted approval for this test, in selected IBD patients, 12 months ago. Methods: We conducted a retrospective chart review of adult patients with IBD in whom HACA and Infliximab trough levels were estimated, to determine whether these results impacted clinical management. The indications for these tests were recorded for each patient. Approval was sought from MOHLT for performing the test. Serum was collected 24 to 48 hours prior to the next infliximab infusion. Results: Thirty-six patients with IBD (29 CD, 7 UC) had HACA and Infliximab levels estimated. The mean age (SD) was 32.5 (13) years and 56% were females. The mean disease duration (SD) was 10(6) years and mean duration on infliximab therapy (SD) was 4(3) years. Indication for testing were diminished response to therapy in 80%, development of side effects in 14% and primary non-response in 6%. HACA was positive in 7 patients and infliximab levels were undetectable in 9 patients. Infliximab levels were undetectable in all patients who were HACA positive except one. Based on these results, treatment was altered in 78% of the patients. Among the 7 HACA positive patients, 3 were switched biological therapy, 2 were switched to immunomodulators (endoscopy showed inactive disease), 2 were continued on infliximab with increased frequency. Among 29 patients who were HACA negative, 9 patients had undetectable drug concentration. In them, frequency of infusion was increased in 6, dose was increased in 2 (10 mg/kg every 4 weeks), and one patient was switched to another biological agent. After modifications in therapy, the drug levels were retested in 4 patients. It was detectable in 3 and undetectable in one who was then referred for surgery. Among the remaining 20 patients with detectable drug levels (>6.25 lg/mL), only limited modifications were required. Of these, 8 were continued on the same treatment, 6 were switched to another biological agent, the infliximab dose was increased in 3, started immunomodulator therapy in 2 and in one patient the dose of infliximab was decreased. Conclusion: Measurement of HACA and infliximab concentration impacts clinical management of patients with IBD. The use of these tests helps tailor therapy and optimizes patient management.

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)0.003
metaresearch head score (Gemma)0.012
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 score0.188
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.013
GPT teacher head0.302
Teacher spread0.290 · 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".

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Citations0
Published2012
Admission routes2
Has abstractyes

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