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Use of antibiotics and outcomes of patients presenting to emergency department with non-neutropenic fever and/or suspected infection.

2023· article· en· W4379345208 on OpenAlexaff
Zeba Siddiqui, Yuchen Li, Elaine Jin, Peter Ellis

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsHamilton Health SciencesJuravinski Cancer CentreJuravinski Hospital
Fundersnot available
KeywordsMedicineEmergency departmentCefepimeFebrile neutropeniaNeutropeniaInternal medicineCancerAntibioticsRetrospective cohort studyPiperacillinTazobactamPediatricsChemotherapyAntibiotic resistance

Abstract

fetched live from OpenAlex

e18693 Background: Current guidelines are clear about antibiotic choices for cancer patients presenting to emergency department (ED) with febrile neutropenia. However, there is little known about antibiotic use and outcomes of cancer patients who present to ED with non-neutropenic fever. The objective of this study was to identify antibiotic prescribing pattern of patients with solid tumor malignancies who presented to Juravinski Hospital (JH) emergency department (ED) with non-neutropenic fever or/and suspected infection. Methods: A retrospective cohort review was completed. All patients with solid tumor malignancies followed by an oncologist at Juravinski Cancer Centre (JCC) who presented to JH ED with non-neutropenic fever or suspected infection from July 1 to December 31, 2020 were identified from an electronic database. Patients’ baseline characteristics, antibiotics used, and outcome information were collected. The primary outcome was proportion of patients who received broad spectrum antibiotic(s) (either Piperacillin and Tazobactam, a Carbapenem, or/and Cefepime) during ED visit or hospital admission. Results: A total of 581 patients were identified and 275 met inclusion criteria. Median age was 71 years, with 46% male. Most common cancer types were breast (21%), lung (18%), gastrointestinal (16%), and genitourinary (13%). Most patients had advanced cancer [stage 4 (59%), stage 3 (14%)], and 37% were on active systemic treatment at the time of ED presentation. A source of infection was identified in 68% of patients, which included 83/187 (44%) respiratory, 32/187 (17%) cutaneous or soft tissue, 24/187 (13%) genitourinary, 20/187 (11%) gastrointestinal, 14/187 (5%) hepatobiliary, and 12/187 iatrogenic (4%). Majority of ED visits (73%) resulted in hospital admission. Median duration of hospital stay was 6 days, and death occurred in 12% of the admitted patients. Broad-spectrum intravenous antibiotics were used in 47% of patients, and most of the time (78%) was the first antibiotic type given after arrival in ED. Conclusions: In our single-centre study, nearly half of patients with solid tumor malignancies who presented to ED with non-neutropenic fever or/and suspected infection received broad spectrum intravenous antibiotics typically recommended in febrile neutropenia protocols. These data suggest a need for quality improvement strategies to improve antibiotic stewardship for patients with solid tumour malignancies presenting to ED with non-neutropenic fever.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.127
GPT teacher head0.456
Teacher spread0.329 · 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 designObservational
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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Citations0
Published2023
Admission routes1
Has abstractyes

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