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Record W3180742167 · doi:10.1177/00185787211029545

Stability of Compounded Digoxin Solution 0.05 mg/mL for Injection

2021· article· en· W3180742167 on OpenAlexaffabout
Mihaela Friciu, Ruth Bernine Marcelin, Pascal Bédard, Jean‐Marc Forest, Grégoire Leclair

Bibliographic record

VenueHospital Pharmacy · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de Montréal
Fundersnot available
KeywordsMedicineDigoxinPharmacologyAnesthesiaInternal medicineHeart failure

Abstract

fetched live from OpenAlex

Background: In 2015, commercial pediatric digoxin injection 0.05 mg/mL was discontinued, leaving only one adult concentration (0.25 mg/mL) for injection on the Canadian market. No published studies have documented the chemical stability over a long period of time of a diluted solution of digoxin for injection. Objective: The aim of this study was to assess the chemical stability of 2 digoxin injection formulations 0.05 mg/mL diluted in 2 vehicles stored at 5°C or a 25°C. Methods: The compounded solution of digoxin 0.05 mg/mL for injection was prepared with digoxin 0.25 mg/mL after dilution in 2 different vehicles, normal saline, and a compounding of the commercial vehicle. Half of the compounding products were stored in 2 mL transparent glass vials at 25°C and the other half at 5°C. Chemical stability was evaluated by HPLC–UV analysis on days 0, 14, 30, 60, 90, 120, 150, 180 for each temperature conditions. In addition, samples were tested for organoleptic change, presence of particular matter as well as sterility. Results: For all tested preparations, the concentration of digoxin remained above 90.0% of the initial concentration throughout the 180-day study. Furthermore, no organoleptic change was observed; particulate matter assessment was in acceptable range; and sterility specifications were met. Conclusions: Digoxin 0.05 mg/mL obtained with a dilution of digoxin 0.25 mg/mL by normal saline or a copy of the commercial vehicle remained stable for at least 180 days at 5°C and 25°C.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.000

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 head0.023
GPT teacher head0.310
Teacher spread0.287 · 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 designBench or experimental
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

Citations1
Published2021
Admission routes2
Has abstractyes

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