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Record W2761472969 · doi:10.1093/pch/19.6.e35-14

14: Severe Neutropenia with Fever in Previously Healthy Children: Do they all Need Broad-Spectrum Antibiotics?

2014· article· en· W2761472969 on OpenAlexaff
Jade Hindié, Yves Pastore, U‐P Nguyen, Barbara Cummins-McManus, Bruce Tapiéro, C Hervouet-Zeiber

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineNeutropeniaAbsolute neutrophil countPneumoniaFebrile neutropeniaPediatricsIncidence (geometry)Emergency departmentRetrospective cohort studyInternal medicineAntibioticsSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Previously healthy children often present to the emergency room with fever. When complete blood count shows isolated neutropenia, these patients are often hospitalised and treated with broad-spectrum antibiotics. This approach for patients with febrile neutropenia (FN) is a clear standard of care recommended by various guidelines. However, such recommendations are based upon studies on chemotherapy and cancer-related neutropenia. Whether these recommendations are applicable to children with non-oncological neutropenia, including viral-induced or benign neutropenia, remains poorly studied. Our objective was to describe the outcomes of children with fever and de-novo neutropenia. Through a six-year (April 1, 2005 to March 31, 2011) retrospective cohort study at a tertiary pediatric hospital, we reviewed the outcomes of patients who presented to the emergency room with non-oncological, isolated severe FN (absolute neutrophil count (ANC) ≤0.5×109/L, and temperature >38.5°C). All patients with prior history of cancer, chemotherapy, bone marrow transplant, known neutropenia and children <3 months of age were excluded from this study. Forty-seven children, median age of 1.1 years (range 0.3 to 6.1), were included in this study. Median ANC on admission was 0.2×109/L. Seasonal variation with higher incidence in fall and spring was observed. Broad-spectrum antibiotics were given in 91.4% of cases. Six patients had suspected bacterial infections: three (6.4%) had a urinary tract infection, one (2.1%) had pneumonia, and one (2.1%) had a peritonsillar abscess. Only one patient had a severe presentation with a rapidly controlled compensated shock and the outcome was favourable. Although an external ear canal culture revealed pseudomonas aeruginosa, blood, CSF and urine cultures remained negative for this patient. The vast majority of patients, 37 children (78.7%), received a final diagnosis of probable viral infection and four patients (8.5%) had a discharge diagnosis of FN (unspecified cause). All patients had favourable outcomes with a median hospital stay of three days. None had positive blood cultures. In this study, the rate of severe bacterial infections in children with non-oncological FN is low, contrasting with a rate of 10% to 20% of documented bacteremia, and a up to 45% of invasive infections in oncology patients. Well-appearing children with non-oncological FN may not require intravenous antibiotics or hospitalisation, but should be closely followed. Physicians could therefore rely on the presence of other clinical findings such as patient appearance and possible source for bacterial infection in order to make such a decision. The safety of such an approach warrants further prospective studies.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.004
GPT teacher head0.227
Teacher spread0.222 · 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".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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