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Retrospective Study of Trough Imatinib Plasma Levels Conducted as Part of the Follow-up of Patients with Chronic Myeloid Leukemia in a Canadian Cohort

2008· article· en· W2588455970 on OpenAlexaffabout
Rahima Jamal, Danielle Desmarais, John Chapdelaine, Y Côté, Lambert Busque

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsImatinibMyeloid leukemiaMedicineTrough levelInternal medicineCohortGastroenterologyOncology

Abstract

fetched live from OpenAlex

Abstract While imatinib biodisponibility is excellent, trough imatinib plasma levels associated with standard dose imatinib are variable and cannot be predicted by the age, the body surface area or the weight of the patient. Imatinib trough levels have recently been associated with both cytogenetic and molecular responses, making imatinib pharmacokinetics a possible target in optimisation of the treatment of patients with chronic myeloid leukemia. We retrospectively analysed trough imatinib plasma levels prescribed as part of the longitudinal follow-up of a cohort of patients with chronic myeloid leukemia in Canada. Indications for testing were inadequate response, important side effects or suspicion of non compliance. The objectives of the study were to evaluate the variability of trough imatinib plasma levels in our cohort and determine the impact a first result had on the subsequent plasma level in patients with more than one imatinib plasma determination. Analyses of trough plasma levels in 278 patients were conducted in a central canadian laboratory from April 2007 to April 2008. Trough imatinib plasma levels were measured using liquid chromatography and tandem mass spectrometry (LC/MS/MS) with deuterated imatinib as the internal standard. Distribution of trough imatinib plasma levels according to the established IRIS quartiles (Q1–Q4; BLOOD. 2008, vol 11, p4022)) showed an important variability, with plasma levels distributed between less than 100 ng/ml and more than 4500 ng/ml. Sixty-two (22.3%) patients in our cohort had plasma levels below 647 ng/ml (Q1), 101(36.3%) patients had levels between 647–1170 ng/ml (Q2–Q3) and 115 (41.3%) patients had trough levels above 1170 ng/ml (Q4). There were 31 patients (11.2%) with levels above 2000 ng/ml, all of whom were included in the Q4. Thirty seven patients in our cohort had more than one analysis of trough imatinib plasma levels done during the one year follow-up for a total of 82 analyses. Sub-group analysis of trough imatinib plasma levels was conducted in the 13 patients in the Q1 and the six patients in the Q4 who had 2 analyses done. Mean trough imatinib plasma levels went from 401ng/ml to 665 ng/ml in the Q1 patients and from 2845 ng/ml to 1065 ng/ml in the Q4 patients. These results confirm the feasibility of imatinib plasma levels testing in the community and the important variability of trough imatinib plasma concentrations in individual patients, as described by other groups. A significant portion of patients in our cohort had trough levels below 647 ng/ml, which has been associated with less favourable cytogenetic and molecular responses in studies. These results also suggest that physicians act on the information procured by the determination of imatinib plasma levels as second level determination was improved for patients initially in Q1 or Q4. Further follow up analyses are needed to document if optimisation of dosing leads to better response or improvement in tolerability of the drug.

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)0.002
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 score0.192
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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
Published2008
Admission routes2
Has abstractyes

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