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Record W2746271885

Pharmacokinetics of once daily IV busulfan: Implications of fixed-infusion rate dosing

2007· article· en· W2746271885 on OpenAlexaff
Shahbal B. Kangarloo, Naveed Farrukh, Diana Quinlan, Michelle Geddes, Mamoonah Chaudhry, Douglas A. Stewart, Anthony M. Magliocco, James A. Russell

Bibliographic record

VenueCancer Research · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBusulfanDosingPharmacokineticsBody surface areaMedicinePharmacologyUrologyTransplantationDose rateHematopoietic stem cell transplantationChemistryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

931 Busulfan (Bu) given in myeloablative doses is a frequent component of cytotoxic preparative regimens for hematopoietic stem cell transplantation. Previously we have shown that it is feasible to individualize the dose of Bu based on a pharmacokinetically guided test dose strategy prior to administration of high dose Bu. We also found that exposure to Bu as indicated by area under the concentration/time curve (AUC) above 6000 µM.min is associated with poorer clinical outcome. Intravenous (IV) chemotherapy agents typically are infused over a set time and based on the patient’s weight (W) or body surface area (BSA). Due to variability in W and BSA among different patients the rate of infusion can vary over two-fold, and this variability often influences drug kinetics. Objectives: To optimize IV Bu in a manner that would allow predictable kinetics for individualized dose modification in order to avoid Bu exposure above an AUC of 6000 µM.min associated with toxicities. Methods: Pharmacokinetic (PK) analysis was performed on 121 patients given 3.2 mg/kg IV Bu over a 3 hr infusion, and 54 patients dosed at 3.2 mg/kg IV Bu at a fixed infusion rate of 80 mg/hr. Bu concentrations in plasma were determined by UV-HPLC. All PK data were analyzed by non-compartmental and compartmental analysis using WinNonlin Version 5.0.1 software (Pharsight Corporation, Mountain View, CA, USA). Results: The mean (±SD) rate of infusion for the 3 hr dosing was 78.3 ± 13 mg/hr with an observed range of 50 mg/hr to 119 mg/hr. The observed range of AUC for the 3 hr IV dosing was 2184 µM.min to 7794 µM.min whereas this range for the 80 mg/hr dosing was 2557 µM.min to 5296 µM.min. There was less variability observed in the kinetics of IV Bu with the fixed-infusion rate dosing. The mean (% coefficient of variance) AUC for the 80 mg/hr dosing was 3872 (17%) µM.min and the mean (% CV) for the 3 hr dosing was 4707 (24%) µM.min. The distributions for the two populations were compared by the Kolmogorov-Smirnov test (KS-test). The maximum difference between the cumulative distributions (D) was 0.42 with a P-value of 3000 µM.min. Conclusions: IV busulfan given at a fixed infusion rate has predictable and more consistent kinetics as compared to when Bu is given over a fixed time period. This allows for more reliable and accurate dose adjustment of this drug where it was not possible to achieve with fixed-time dosing. These results justify further research and debate about whether other IV chemotherapy agents should be infused with a fixed-infusion rate, and whether fixed-infusion rate dosing protocols should be used during phase I dose escalating pharmacokinetic trials.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
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 head0.126
GPT teacher head0.508
Teacher spread0.381 · 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
Published2007
Admission routes1
Has abstractyes

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