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Record 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 on OpenAlexaffabout
Brent Parker, Mina Dehghani, Selay Lam, Chai W. Phua, Cheryl Foster, Kang Howson‐Jan, Joy Mangel

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineFebrile neutropeniaLevofloxacinVincristineEpoch (astronomy)Internal medicineNeutropeniaRegimenSurgeryChemotherapyCyclophosphamideAntibiotics

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.290
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes2
Has abstractyes

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