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Enregistrement W3216359699 · doi:10.1182/blood-2021-151885

Effect of Levofloxacin Prophylaxis on Rates of Febrile Neutropenia in Patients Receiving DA-EPOCH-R Chemotherapy for Aggressive Lymphomas

2021· article· en· W3216359699 sur OpenAlexaffabout
Brent Parker, Mina Dehghani, Selay Lam, Chai W. Phua, Cheryl Foster, Kang Howson‐Jan, Joy Mangel

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueNeutropenia and Cancer Infections
Établissements canadiensLondon Health Sciences CentreWestern University
Organismes subventionnairesnon disponible
Mots-clésMedicineFebrile neutropeniaLevofloxacinVincristineEpoch (astronomy)Internal medicineNeutropeniaRegimenSurgeryChemotherapyCyclophosphamideAntibiotics

Résumé

récupéré en direct d'OpenAlex

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.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,032

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,290
Écart entre enseignants0,279 · 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'étudeEssai non randomisé
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2021
Routes d'admission2
Résumé présentoui

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