Reply to Davido et al
Notice bibliographique
Résumé
To the Editor—We thank Davido et al for their comments on our report on the impact of fecal microbiota transplantation (FMT) on antimicrobial resistance gene acquisition and depletion among patients with recurrent Clostridium difficile infection (CDI) [1, 2]. We agree that inferences based on our small sample should be limited and additional, larger clinical studies are required to validate our observations. Davido et al raise 3 points. First, we confirm that no carbapenemase-encoding genes were identified in our cohort. Second, we agree that antibiotic administration prior to FMT may impact microbiota composition and antimicrobial resistance gene carriage. However, we reiterate that recipients of FMT in our study were given vancomycin until 2 days before FMT, and not “2 days prior to FMT” as Davido et al state in their letter. This means that fecal samples for our study were taken approximately 48 hours after the last dose of oral vancomycin. Resistance gene acquisition may occur via stool donation immediately following FMT, but may also appear to occur in recipients receiving antibiotic treatment just prior to FMT; differentiating between these 2 sources of resistance gene acquisition is challenging. Our data suggest that the potential for resistance gene acquisition as the result of FMT is an important consideration in using FMT therapy. This risk should be balanced against the potential benefits of the FMT procedure for preventing recurrent CDI and for multidrug-resistant organism (MDRO) decolonization. Third, it is interesting to note that depletion of clinically meaningful resistance genes occurred in almost all recipients, despite the inclusion of 8 unique donors. However, the degree of gene depletion varied by donor–recipient pair. For example, pairs 5 and 8 experienced the loss of many more resistance genes than the other pairs. Currently, the clinical evidence for FMT MDRO decolonization efficacy is still very limited, and there may be significant differences in efficacy by unrecognized host factors and by the bacterial species being targeted (eg, extended spectrum β-lactamase–producing Escherichia coli vs vancomycin-resistant enterococci). More intervention studies of FMT are needed to determine MDRO decolonization effectiveness, safety, durability, and mechanism of action in a wider spectrum of potential recipients. Potential conflicts of interest. A. R. M. has received research funding from a 2011 Pfizer Aspire Antibacterial Research Award. M. M. has been an employee of bioMérieux since October 2012. C. V. received a studentship from the Research Institute of the McGill University Health Centre, as well as a Frederick Banting and Charles Best Canada Graduate Scholarship (Doctoral Award) from the Canadian Institutes of Health Research (GSD-113375). C. V. also has been an employee of Roche Diagnostics since 2016. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,054 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,006 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,135 | 0,064 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,010 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».