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Record W7009225654

DOES DOSE-STAGGERING REDUCE METABOLIC DRUG-DRUG INTERACTION BETWEEN CLOZAPINE AND FLUVOXAMINE IN DOG?

2023· dissertation· en· W7009225654 on OpenAlexaff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsClozapineFluvoxaminePharmacokineticsCrossover studyAdverse effectDrug interactionAtypical antipsychoticDrug
DOInot available

Abstract

fetched live from OpenAlex

Clozapine, an antipsychotic, and fluvoxamine, an antidepressant, are frequently coadministered in the treatment of schizophrenia. Oral coadministration of clozapine with fluvoxamine in humans results in profound increases in serum concentrations of clozapine due to reversible enzyme inhibition. Dose-staggering is a potential way to reduce drug-drug interactions with orally administered drugs. We hypothesized that staggering doses of clozapine and fluvoxamine twelve hours apart will decrease the extent of interaction between clozapine and its known inhibitor, fluvoxamine, in dog. We used the dog model due to similar metabolic profiles between humans and dogs, and for safety reasons, since doses that are well tolerated in schizophrenic patients may cause serious adverse side effects in healthy volunteers. The principle focus of this research work was to validate a computer simulation model that may predict drug-drug interaction potential. An 1-1-PLC method was developed to quantify clozapine and its two major metabolites, clozapine N-oxide and N-desmethyl clozapine in dog plasma. The pharmacokinetics of clozapine was examined for a single dose (IV and oral) and multiple doses (oral) in dog. A two-phase, crossover design was used to determine if staggering multiple oral doses of clozapine and fluvoxamine twelve hours apart could decrease the extent of this drug-drug interaction. Our HPLC method was fast, simple and demonstrated good recovery rates for clozapine and N-desmethyl clozapine. The average half-life, elimination rate constant, volume of distribution, and systemic clearance of clozapine in dog calculated from a single IV bolus dose (1 mg/kg) were 11.2 h (±2.9), 0.067 WI (±0.022), 115 L (±32), and 7.54 L/h (±2.21). The average half-life, elimination rate constant, and oral clearance of clozapine in dog calculated from a single oral dose (5 mg/kg) were 18.5 h (±14.7), 0.081 III (±0.065), and 43.51 L/h (±3.06). The average AUC TO value of clozapine between the simultaneous condition (AUC r o = 757 +181 µg x h/L) and the staggered condition (AUC To = 573 ±72 µg x h/L) approached significance (p = 0.05). Dose-staggering did not appear to decrease the extent of the drug-drug interaction between clozapine and fluvoxamine in dog. The prediction of the computer simulation model could not be confirmed.

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)0.001
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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
Published2023
Admission routes1
Has abstractyes

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