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Enregistrement W2619998886 · doi:10.1016/s1473-3099(17)30274-8

Staphylococcus aureus in critical care

2017· letter· en· W2619998886 sur OpenAlexaboutno aff
Ravindra Dotel, Matthew O’Sullivan, Gwendolyn L. Gilbert

Notice bibliographique

RevueThe Lancet Infectious Diseases · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueAntimicrobial Resistance in Staphylococcus
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStaphylococcus aureusMicrobiologyMedicineBiologyBacteria

Résumé

récupéré en direct d'OpenAlex

The Article by James Price and colleagues1Price JR Cole K Bexley A et al.Transmission of Staphylococcus aureus between health-care workers, the environment, and patients in an intensive care unit: a longitudinal cohort study based on whole-genome sequencing.Lancet Infect Dis. 2017; 17: 207-214Summary Full Text Full Text PDF PubMed Scopus (109) Google Scholar describes an important study that explores the role of health-care workers and the environment in patient acquisition of Staphylococcus aureus. We congratulate the team on the study, which, impressively, enrolled 95% of eligible health-care workers who, along with patients and the environment, were screened for S aureus; the large number of isolates were then analysed using whole-genome sequencing. However, we feel the authors' conclusion that “health-care workers were infrequently sources of transmission to patients” is not warranted, in light of the study's limitations. Several of these limitations, including the fact that the study was done at a single hospital with a low prevalence of meticillin-resistant S aureus, were cited by the authors, and in the accompanying Comment.2Denis O Route of transmission of Staphylococcus aureus.Lancet Infect Dis. 2017; 17: 124-125Summary Full Text Full Text PDF PubMed Scopus (15) Google Scholar However, in addition, large numbers of health-care workers (eg, visiting medical teams, radiographers, allied health staff other than physiotherapists, food handlers, cleaners, porters) and visitors were not screened and the intervals between samplings of those who were screened were long. Members of staff were only considered to be sources of acquisition for patient colonisation if the staff member's isolate was obtained before, or at the same time as, the patient's isolate. However, the order of sampling does not necessarily reflect the direction of transmission, and staff might only be found to be colonised after transmission has occurred. Considering the high proportion of health-care workers who were transient S aureus carriers, the median staff screening interval of 4 weeks, and the relatively poor sensitivity of nasal swabs alone (70·3%), the conclusion that health-care workers were only infrequent sources of acquisition seem unjustified. Almost 40% (727 of 1854) of patients admitted to the units were screened only once and none were screened after discharge, so a large number of patient acquisitions were likely to be unrecognised. Potential sources of S aureus were not identified in 72 (76%) of 97 recognised patient acquisitions. Although the authors suggest that these might not be true acquisitions, but rather explained by false-negative admission screens, it also raises an alternative possibility that nosocomial acquisition of S aureus is much more frequent than suggested by this study. Identifying sources of S aureus transmission is difficult, but can be facilitated by more frequent sampling and rapid screening of isolates, using a high-throughput, inexpensive strain-typing tool, supplemented by whole-genome sequencing, to detect transmissions events.3O'Sullivan MV Zhou F Sintchenko V Gilbert GL Prospective genotyping of hospital-acquired methicillin-resistant Staphylococcus aureus isolates by use of a novel, highly discriminatory binary typing system.J Clin Microbiol. 2012; 50: 3513-3519Crossref PubMed Scopus (21) Google Scholar RD's PhD is supported by Australian Postgraduate Awards (2016). MOS and GG declare no competing interests. Transmission of Staphylococcus aureus between health-care workers, the environment, and patients in an intensive care unit: a longitudinal cohort study based on whole-genome sequencingIn the presence of standard infection control measures, health-care workers were infrequently sources of transmission to patients. S aureus epidemiology in the ICU and HDU is characterised by continuous ingress of distinct subtypes rather than transmission of genetically related strains. Full-Text PDF Open AccessRoute of transmission of Staphylococcus aureusHealth-care-associated infections represent a major health concern with a substantial impact on morbidity and mortality. The prevalence of nosocomial infections is especially high in intensive care units (ICUs), where the occurrence of multidrug-resistant pathogens is highest in the hospital.1 Staphylococcus aureus is a major agent of health-care-associated infections that causes a wide range of diseases from mild to life-threatening conditions. It is one of the most prevalent causes of nosocomial bacteraemia, hospital-acquired pneumonia, and surgical site infections. Full-Text PDF Open AccessBoosters for meningococcal B vaccines?Two new meningococcal vaccines are licensed for prevention of serogroup B meningococcal disease: 4CMenB (Bexsero, Novartis, Siena, Italy) is licensed in 35 countries including the USA, Europe, Canada, and Australia, and bivalent rLP2086 (Trumenba; Pfizer, Philadelphia, PA, USA)—a bivalent factor H binding protein meningococcal vaccine—is licensed in the USA and under European review.1 Both vaccines target variable, non-capsular surface antigens, generate an established immunological correlate of protection (human complement serum bactericidal activity [hSBA]) used for licensure, and have shown initial favourable safety and tolerability profiles. Full-Text PDF Staphylococcus aureus in critical care – Authors' replyRavindra Dotel and colleagues highlight several limitations of our study1 and argue that, taken together, these limitations undermine our conclusion that health-care workers are infrequently sources of Staphylococcus aureus transmission. Although we acknowledge the criticisms made, we do not agree with this analysis. Full-Text PDF

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,013
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0050,007
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,346
Écart entre enseignants0,309 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

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