Effect of Levofloxacin Prophylaxis on Rates of Febrile Neutropenia in Patients Receiving DA-EPOCH-R Chemotherapy for Aggressive Lymphomas
Notice bibliographique
Résumé
Abstract Introduction: Febrile neutropenia (FN) is a serious potential adverse event of myelosuppressive chemotherapy. Dose-adjusted EPOCH-R (DA-EPOCH-R: etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin and rituximab, with doses adjusted to induce neutropenia of < 0.5 x 10 9/L) is a chemoimmunotherapy regimen used for aggressive lymphomas including diffuse large B-cell lymphoma, double/triple hit, Burkitt, primary mediastinal, and HIV-associated large cell lymphoma. It is associated with high rates of FN (13-25% of cycles) despite use of prophylactic Septra and granulocyte colony stimulating factor (G-CSF). Fluoroquinolone antibiotics have been used in various hematological malignancies to reduce infection rates while on chemotherapy, but this strategy has never been reported with DA-EPOCH-R. This study was conducted to assess the impact of adding routine Levofloxacin prophylaxis on FN and infection rates in patients receiving DA-EPOCH-R. Methods: This is a combined cohort study comparing the patients who received DA-EPOCH-R for newly diagnosed aggressive lymphoma at the London Regional Cancer Program in London, Ontario, Canada before and after the initiation of routine Levofloxacin prophylaxis in July 2020. The prospective cohort received Levofloxacin 500 mg x 7 days with each cycle starting on cycle day 8 in addition to standard supportive care with Septra and G-CSF. The primary objective was the rate of febrile neutropenia. Secondary objectives included days hospitalized, deaths related to infections, and adverse events secondary to Levofloxacin. Results: Thirty patients who received DA-EPOCH-R in the 5 years preceding the initiation of routine prophylactic Levofloxacin were included in the retrospective cohort. Median age was 58 (range 18-79), 66% were male, and 90% had stage III/IV disease. Total number of cycles of DA-EPOCH-R received was 110, with a median of 4 cycles per patient (range: 1-6). FN developed in 14 patients (46%), and complicated a total of 20 cycles (18%) of DA-EPOCH-R. There were 19 hospital admissions due to FN, with a median duration of hospitalization of 12 days (range 3-120). Two patients died, both due to infection. Thirteen patients have been treated so far in the prospective cohort, 12 of whom received levofloxacin prophylaxis. Median age was 59 (range 23-69), 66% were male, and 76% had stage III/IV disease. Total number of cycles of DA-EPOCH-R received was 60, with a median of 5 cycles per patient (range: 1-6 ). Only 1 patient (8%) developed FN, which complicated a total of 3 cycles (5%) of chemotherapy. All 3 episodes of FN resulted in hospitalization for a median duration of 30 days (range 20-49). There have been no deaths due to infection in this cohort thus far. No concerning adverse effects from Levofloxacin have been observed. Conclusions: Although enrollment in the prospective cohort is ongoing, preliminary data are highly encouraging, with significantly lower rates of FN and death due to infection observed since the introduction of routine Levofloxacin prophylaxis. The addition of Levofloxacin to standard prophylaxis with Septra and G-CSF seems to be an effective way to mitigate the risks to patients on DA-EPOCH-R for aggressive lymphomas, and this strategy is worthy of further study. Disclosures Lam: Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Hoffmann-La Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Beigene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Honoraria, Membership on an entity's Board of Directors or advisory committees; SeaGen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Phua: NovoNordisk: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».