Invasive Fungal Infections in Lung Transplant Recipients
Notice bibliographique
Résumé
(See Reply by Baker and Alexander on Volume 72, Issue 2, 15 January 2021, Pages 366–7.) To the Editor—We would like to thank Baker and colleagues for their prospective single-center study of invasive fungal infections (IFIs) in lung transplant recipients during the first 180 days posttransplant [1]. This study clearly demonstrated the incidence and timing of IFIs with a standard prophylaxis regimen of aerosolized amphotericin B lipid complex (ABLC); however, clinical applicability and generalizability of these results remain limited. We noted with interest that invasive candidiasis (IC) was the most common IFI in this study cohort. This finding diverges from the results of previous retrospective single and multicenter studies of lung transplant recipients, where Aspergillus species have consistently been identified as the most frequent causative pathogens [2–5]. In addition, surprisingly, Baker and colleagues demonstrated that most cases of IC (n = 58 [62%]) involved the pleural space or deep surgical incision site with a median time to diagnosis of just 31 days. These findings may suggest that seeding of Candida occurred at the time of operation. Further details about whether there were any identifiable risk factors, surgical or otherwise, such as Candida colonization of the donor or recipient lungs prior to transplant or use of extracorporeal membrane oxygenation (ECMO), that increased the risk of IC may certainly contribute to understanding of the pathogenesis of these findings. Identification of specific risk factors mayalso allow for a targeted systemic antifungal strategy to prevent such infections. We were struck by the fact that 58 of the 93 (62%) episodes of IC were due to pleural (n = 43) and deep surgical (n = 15) infections. One may opine that aerosolized ABLC was ineffective in preventing infections arising at these anatomical sites. We also noted that in addition to aerosolized ABLC, micafungin prophylaxis was given to patients who had delayed chest closure after lung transplantation and those on ECMO. The authors document that 18 cases of breakthrough IC occurred on prophylactic systemic antifungal therapy, including 16 of 18 (88%) cases that broke through micafungin therapy. The authors cite micafungin extraction by the ECMO circuit as a potential explanation for breakthrough IFIs but do not report on the number of lung transplant recipients requiring ECMO and what proportion of IFIs occurred in in the context of ECMO use. In vitro studies have demonstrated that micafunginas well as voriconazole, but not caspofungin orfluconazole, are extracted by the EMCO circuit [6, 7]. In critically ill patients, the use of ECMO results in a 23% reduction in the area under the curve concentration of micafungin [8]. As therapeutic drug monitoring is not routinely available for micafungin, its use in patients on ECMO should be avoided; if this is not possible, it would be prudent to consider an increased dose. Antifungal prophylaxis is advantageous in preventing IFIs in lung transplant recipients. However, universal aerosolized ABLC prophylaxis with the addition of micafungin for specific indications may not offer optimum coverage. Perhaps an alternative strategy, preemptive targeted therapy, may prove to be more effective, as demonstrated by others [9]. Potential conflicts of interest. C. R. reports grants from Astellas Pharma Canada, Chimerix Inc, Cidara, Merck Canada Inc, and Pfizer Canada Inc; personal fees from Merck Canada Inc, Pfizer Canada Inc, Avir Pharma, Pendopharm, Roche Pharma Canada, Sunovion Pharmaceuticals Canada Inc, and Teva Pharmaceutical Industries Ltd, outside the submitted work. T. M. reports no potential conflicts of interest. Both 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 | 0,001 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,029 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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.
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 ».