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Record W4411729510 · doi:10.63209/2025.1566

Exploration de test de stérilité rapide à des fins de contrôle microbiologique pour les préparations magistrales stériles

2025· article· fr· W4411729510 on OpenAlexaffabout
Tatiana Cheng, Thomas Sullivan, Jean‐Marc Forest

Bibliographic record

VenuePharmactuel · 2025
Typearticle
Languagefr
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Objectif : Cet article vise à explorer les méthodes de rechange au test de stérilité standard effectué par les départements de pharmacie des centres hospitaliers québécois à des fins de contrôle microbiologique pour les préparations stériles. Dans ces centres, c’est présentement la norme USP <71> qui est privilégiée pour les tests de stérilité. Les contrôles microbiologiques actuels, quant à eux, suivent la méthode classique décrite dans les pharmacopées internationales. Les échantillons sont filtrés à travers une membrane qui est ensuite incubée pendant 14 jours, ce qui représente un délai non négligeable. L’échantillon est validé par évaluation visuelle de la turbidité dans un premier temps. Description de la problématique : Bien que l’utilisation de méthodes rapides de microbiologie semble implantée depuis plusieurs années dans le secteur privé, principalement dans l’industrie, peu de données sont disponibles sur le sujet. Parmi les différentes technologies existantes, on retrouve un système de cytométrie en phase solide permettant la détection de la contamination microbienne en quelques heures à peine. Résolution de la problématique : Une revue de la littérature a été réalisée dans le but de trouver des méthodes de rechange au test de stérilité standard utilisé dans différents milieux, notamment en établissement hospitalier. Idéalement, ces méthodes permettraient d’obtenir des résultats plus rapidement. Conclusion : La mise en place d’un test de stérilité rapide de façon systématique dans les établissements hospitaliers est difficilement envisageable à court terme en raison de divers obstacles. L’avenir de cette méthode s’annonce cependant prometteur. Abstract Objective: This article aims to explore alternative methods to the standard sterility test performed by pharmacy departments in Quebec hospital centres for microbiological control of sterile preparations. In these centres, the USP <71> standard is currently preferred for sterility tests. Current microbiological controls follow the classical method described in international pharmacopoeias. Samples are filtered through a membrane, which is then incubated for 14 days, representing a significant delay. The sample is initially validated by visual evaluation of turbidity. Description of the problem: Although the use of rapid microbiology methods seems to have been implemented for several years in the private sector, mainly in industry, little data is available on the subject. Among the existing technologies, there is a solid-phase cytometry system allowing microbial contamination detection in just a few hours. Resolution of the problem: A literature review was conducted to find alternative methods to the standard sterility test used in various settings, particularly in hospital settings. Ideally, these methods would provide faster results. Conclusion: The systematic implementation of rapid sterility testing in hospital settings is difficult to consider in the short term due to various obstacles. However, the future of this method looks promising.

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)0.008
metaresearch head score (Gemma)0.009
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.038
GPT teacher head0.342
Teacher spread0.304 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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