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Record W1935451714 · doi:10.4212/cjhp.v68i5.1485

Outcomes in Documented Pseudomonas aeruginosa Bacteremia Treated with Intermittent IV Infusion of Ceftazidime, Meropenem, or Piperacillin–Tazobactam: A Retrospective Study

2015· article· en· W1935451714 on OpenAlexaffvenueabout
Francine Kwee, Sandra A N Walker, Marion Elligsen, Lesley Palmay, Andrew E. Simor, Nick Daneman

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsMedicineMeropenemPiperacillinBacteremiaCeftazidimeDiscontinuationPseudomonas aeruginosaPiperacillin/tazobactamTazobactamAntibioticsRetrospective cohort studyInternal medicineIntensive care medicineAntibiotic resistanceMicrobiology

Abstract

fetched live from OpenAlex

Background: Pseudomonas aeruginosa, one of the leading causes of nosocomial gram-negative bloodstream infections, is particularly difficult to treat because of its multiple resistance mechanisms combined with a lack of novel antipseudomonal antibiotics. Despite knowledge of timedependent killing with ß-lactam antibiotics, most hospitals in Canada currently administer ß-lactam antibiotics by intermittent rather than extended infusions.Objectives: To determine clinical outcomes, microbiological outcomes, total hospital costs, and infection-related costs for patients with P. aeruginosa bacteremia who received intermittent IV administration of antipseudomonal ß-lactam antibiotics in a tertiary care institution.Methods: For this retrospective descriptive study, data were collected for patients who were admitted between March 1, 2005, and March 31, 2013, who had P. aeruginosa bacteremia during their admission, and who received at least 72 h of treatment with ceftazidime, meropenem, or piperacillin–tazobactam. Clinical and microbiological outcomes were determined, and total and infection-related hospital costs were calculated.Results: A total of 103 patients were included in the analysis, of whom 79 (77%) experienced clinical cure. In addition, bacterial eradication was achieved in 41 (87%) of the 47 patients with evaluable data for this outcome. Twenty-eight (27%) of the 103 patients died within 30 days of discontinuation of antipseudomonal ß-lactam antibiotic therapy. The median total cost of the hospital stay was $121 718, and the median infection-related cost was $29 697.Conclusions: P. aeruginosa bacteremia is a clinically significant nosocomial infection that continues to cause considerable mortality and health care costs. To the authors’ knowledge, no previous studies have calculated total and infection-related hospital costs for treatment of P. aeruginosa bacteremia with intermittent infusion of antipseudomonal ß-lactam antibiotics, with characterization of cost according to site of acquisition of the infection. This study may provide important baseline data for assessing the impact of implementing extended-infusion ß-lactam therapy, antimicrobial stewardship, and infection control strategies targeting P. aeruginosa infection in hospitalized patients.RÉSUMÉContexte : La bactérie Pseudomonas aeruginosa, l’une des principals causes des bactériémies nosocomiales à ram négatif, est particulièrement difficile à traiter, parce qu’elle possède de nombreux mécanismes de résistance et qu’il n’y a pas de nouveaux antibiotiques anti-Pseudomonas. Bien que l’on sache que l’effet bactéricide des ß-lactamines est fonction du temps, la plupart des hôpitaux au Canada administrent actuellement ces antibiotiques par perfusions intermittentes plutôt que prolongées.Objectifs : Déterminer quels sont les résultats cliniques, les résultats microbiologiques, les coûts totaux d’hospitalisation et ceux liés à l’infection seule pour les patients atteints d’une bactériémie à P. aeruginosa ayant reçudes ß-lactamines anti-Pseudomonas par perfusion intermittente dans un établissement de soins tertiaires.Méthodes : Pour la présente étude rétrospective descriptive, on a recueilli des données sur des patients hospitalisés entre le 1er mars 2005 et le 31 mars 2013, qui étaient atteints d’une bactériémie à Pseudomonas aeruginosa, et qui ont reçu au moins 72 heures de traitements par ceftazidime, méropenem ou pipéracilline-tazobactam. Les résultats cliniques et microbiologiques ont été déterminés, et les coûts totaux d’hospitalisation et ceux liés à l’infection ont été calculés.Résultats : En tout, 103 patients ont été retenus pour l’analyse. Parmi eux, 79 (77 %) ont joui d’une guérison clinique. De plus, une eradication bactérienne a été obtenue chez 41 (87 %) des 47 patients ayant des données évaluables pour ce résultat. Vingt-huit (27 %) des 103 patients sont décédés dans les trente jours suivant la fin de l’antibiothérapie par ß-lactamines anti-Pseudomonas. Le coût total médian du séjour à l’hôpital était de 121 718 $ et le coût médian lié à l’infection était de 29 697 $.Conclusions : La bactériémie à Pseudomonas aeruginosa est une infection nosocomiale cliniquement significative. Elle demeure à ce jour une cause importante de mortalité et une source considérable de coûts de soins de santé. À la connaissance des auteurs, aucune étude antérieure n’a calculé les coûts totaux d’hospitalisation et ceux liés à l’infection pour le traitement de la bactériémie à Pseudomonas aeruginosa par perfusion intermittente de ß-lactamines anti-Pseudomonas, en caractérisant ces coûts selon le site de transmission de l’infection. Cette étude pourrait fournir d’importantes données de référence pour évaluer l’effet de la mise en place du traitement par perfusion prolongée de ß-lactamines, d’une gestion responsable des antimicrobiens et de stratégies de prévention des infections qui visent l’infection à P. aeruginosa chez les patients hospitalisés.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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".

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Citations8
Published2015
Admission routes3
Has abstractyes

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