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Record W2906032049 · doi:10.4212/cjhp.v45i5.2660

Compatibility and Stability of Hyaluronidase and Hydromorphone

2018· article· en· W2906032049 on OpenAlexvenueno aff
Scott Walker, Danny W.C. Lau

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsnot available
Fundersnot available
KeywordsHydromorphoneHyaluronidaseChemistryChromatographyBiochemistryEnzyme

Abstract

fetched live from OpenAlex

ABSTRACT The stability and compatibility of the combination of three different hydromorphone concentrations (2 mg/ml, 10 mg/mL and 40 mg/mL) and hyaluronidase (150 U/mL) was evaluated over a seven day period. In addition to physical inspection and pH, solutions were assayed for hydromorphone content using a validated stability-indicating liquid chromatographic method and hyaluronidase activity using hyaluronic acid as the substrate. Each test was performed at time zero and after 1, 2, 4 and 7 days storage at 4°C, room temperature (23°C), and 37°C. The solutions were all observed to be physically compatible over the seven day study period and there was no change in the hydromorphone concentration, all concentrations remaining within 10% of the initial concentration. However, hyaluronidase activity was substantially reduced by hydromorphone during storage. The reduction in activity was dependent on the hydromorphone concentration (as the hydromorphone concentration increased there were greater reductions in hyaluronidase activity) and storage temperature (at higher temperatures hyaluronidase activity was lost at a faster rate). We conclude that although the combination is physically compatible, the chemical incompatibility which results in reduced hyaluronidase activity is such that the practice of mixing these two medications cannot be recommended. Rather, we would support the practice recommended by the manufacturer which involves injecting hyaluronidase subcutaneously into the site prior to the start of hypodermoclysis or priming the intravenous tubing with hyaluronidase. RESUME On a determine la stabilite et la compatibilite des melanges de trois concentrations differentes d'hydromorphone (2 mg/mL, 10 mg/mL et 40 mg/mL) et d'hyaluronidase (150 U/mL) sur une periode de sept jours. En plus de proceder a un examen physique et de determiner le pH des solutions, on a dose l'hydromorphone au moyen d'une technique de chromatographie en phase liquide eprouvee indiquant la stabilite de la solution et mesure l'activite de l'hyaluronidase en prenant l'acide hyaluronique comme substrat. Chaque essai a ete effecte au temps de depart et apres 1, 2, 4 et 7 jours d'entreposage a 4 °C, a temperature ambiante (23°C) et a 37°C. Les solutions sont restees physiquement compatibles durant la periode de sept jours et on n'a decele aucune modification de la concentration d'hydromorphone, celle-ci demeurant constamment a 10% de la concentration initiale. L'hydromorphone a neanmoins reduit de facon appreciable l'activite de l'hyaluronidase au cours de l'entreposage. La baisse d'activite depend de la concentration d'hydromorphone (a mesure qu'elle augmente, l'activite de l'hyaluronidase diminue) et de la temperature d'entreposage (l'activite de l'hyaluronidase diminue plus rapidement avec la hausse de la temperature). On en conclut que si les deux composes sont physiquement compatibles, l'incompatibilite chimique a l'origine de l'activite reduite de l’hyaluronidase ne permet pas de recommander la pratique qui consiste a melanger les deux medicaments. On appuierait plutot la recommandation du fabricant, a savoir injecter l'hyaluronidase sous la peau au site d'inoculation, avant de commencer l'hypodermoclyse, ou amorcer la perfusion avec l'hyaluronidase dans la tubulure.

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 score0.005

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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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