Retrospective Review of Invasive Fungal Disease in a Cohort of Patients with Acute Leukemia
Notice bibliographique
Résumé
Abstract Abstract 4265 Background: Invasive fungal disease (IFD) is a significant cause of morbidity and mortality in patients with acute leukemia (AL). Fluconazole has an established role for prophylaxis in the setting of allogeneic hematopoietic stem cell transplant (AHSCT), and possibly in the setting of acute leukemia. More recently, posaconazole has been shown to reduce the incidence of IFD and mortality in AHSCT recipients, and in patients undergoing chemotherapy for acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS). However, with increasing use of broader-spectrum antifungal agents, there are concerns regarding breakthrough infections with resistant organisms. Objectives: The first goal of this study is to define the epidemiology of IFD in all patients with acute leukemia, treated at one academic center (The Ottawa Hospital). The second goal is to identify risk factors, which could stratify patients into a very high risk category for the development of IFD. We hope to identify a subset of patients who would benefit from prophylaxis with broader-spectrum antifungal agents. Methods: We performed a retrospective study of adult patients with acute leukemia (including AML, acute lymphoblastic leukemia (ALL), high-grade MDS and blast-phase CML) treated at our institution between May 2009 and April 2011. Patients at all stages of treatment were included. All patients treated with antifungal agents were identified through our pharmacy database. Computerized medical records were reviewed for baseline demographics (age, gender, occupation, diagnosis, days of neutropenia and comorbidities), as well as treatment-related variables (chemotherapy regimen, conditioning regimen, date of AHSCT, response to treatment and presence of GVHD). Imaging, microbiology and biopsy results were also collected. Proven and probable IFD were defined as per the 2008 EORTC/MSG revised criteria. Patient characteristics were compared using Fisher’s exact test. Results: We identified 89 inpatient encounters. Primary diagnosis was AML in 58, high-grade MDS in 15, ALL in 12, blast-phase CML in 3 and PCL in 1 patient. 42 patients were undergoing induction chemotherapy and 10 were undergoing consolidation. 30 patients were post-AHSCT. Contrary to prior studies, all patients were on fluconazole prophylaxis. Out of these 89 encounters, 8 patients (9%) were diagnosed with proven or probable IFD, 12 (13%) met criteria for possible IFD, and the rest (69/89 or 78%) did not meet criteria for IFD. There were 5 probable cases of pulmonary aspergillosis, 1 proven case of hepatic aspergillosis, and 2 proven cases of zygomycosis (1 disseminated and 1 CNS). In terms of risk factors, in our initial analysis, median age was higher in patients with IFD than in patients without (62 vs. 57), though this difference did not reach statistical significance (p = 0.46). There was no difference in the development of IFD based on gender, occupation, days of neutropenia or comorbidities. Although this did not reach statistical significance, almost all patients with IFD had an underlying diagnosis of AML (7/8). In addition, no patients were diagnosed with IFD during consolidation therapy. This is consistent with prior studies. We were not able to assess transplant-related variables, given that only one IFD was diagnosed in a post-AHSCT patient. Overall mortality at 30 days post-admission was significantly higher in the IFD group (6/8 vs. 28/81, p = 0.05). However, only 1 death was directly attributable to the IFD. Otherwise, 3/8 patients with IFD died of refractory leukemia (1 post-AHSCT), 1/8 died of leukemia, 1/8 died of multiorgan failure (not clearly related to IFD), 1/8 survived hepatic aspergillosis and 1/8 survived disseminated mucormycosis. Conclusions: Though limited by sample size, our study indicates that older patients, patients with AML, patients undergoing induction chemotherapy and patients with refractory leukemia may be at highest risk for IFD. In addition, in our cohort, almost all patients with IFD died of their underlying leukemia, while being treated for IFD. It is not clear at this time, but suggestive, that the diagnosis of IFD delayed or interfered with the ongoing treatment plan for some of these patients, possibly contributing to their treatment failure. Therefore, the use of novel antifungal agents would be favored in this group to avoid interruption of leukemia treatment. Further study of this group is currently underway. Disclosures: No relevant conflicts of interest to declare.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».