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Record W2081443731 · doi:10.2146/ajhp100011

Visual compatibility of oritavancin diphosphate with selected coadministered drugs during simulated Y-site administration

2010· article· en· W2081443731 on OpenAlexaff
Atul Kumar, Henry J. Mann

Bibliographic record

VenueAmerican Journal of Health-System Pharmacy · 2010
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCompatibility (geochemistry)PharmacologyMedicineChemistryMaterials science

Abstract

fetched live from OpenAlex

PURPOSE: The visual compatibility of the new intravenous antibiotic oritavancin diphosphate with various drugs commonly administered to patients in acute care settings was studied. METHODS: Clinically used concentrations of 37 drugs, including antibiotics, sedatives, analgesics, and cardiovascular agents, were evaluated in 1:1 mixtures with oritavancin concentrations of 0.8, 1.2, and 2 mg/mL. Oritavancin solutions were prepared in 5% dextrose injection and mixed with each test drug solution. The mixtures were then visually observed over a period of four hours at room temperature. The pH of the mixtures was also determined immediately and four hours after mixing. Compatibility was defined as the absence of any color change, haze, fibers, particles, and precipitate. RESULTS: Of the 37 tested drugs, 23 were visually compatible with all three concentrations of oritavancin over the four-hour study period. Drugs formulated at a basic or neutral pH were more likely to be incompatible with oritavancin. CONCLUSION: Oritavancin diphosphate was visually incompatible with many intravenous drugs that are likely to be coadministered in acute care settings.

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 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)0.001
metaresearch head score (Gemma)0.000
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 score0.101
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.332
Teacher spread0.322 · 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".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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