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Record W3196668231 · doi:10.5001/omj.2021.87

Patterns of Bacterial Isolates and their Resistance to Antibiotics in Patients with Chemotherapyinduced Febrile Neutropenia at a University Hospital

2021· article· en· W3196668231 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOman Medical Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineFebrile neutropeniaAntibioticsNeutropeniaAntibiotic resistanceMicrobiologyIntensive care medicineInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

Objectives: Febrile neutropenia is a major complication of cytotoxic chemotherapy and is associated with a high rate of mortality and morbidity if not treated appropriately. Consequently, it is important to know the bacterial spectrum and pattern of its resistance in each hospital to formulate an appropriate empiric antibiotic regimen. We sought to study the bacterial spectrum in patients with chemotherapy-induced neutropenia and report their resistance patterns. Methods: We conducted a retrospective study on patients admitted with febrile neutropenia between January 2010 and December 2016 in the oncology unit at Sultan Qaboos University Hospital in Oman. Consecutive patients diagnosed with non-hematological malignancies who had febrile neutropenia and positive blood culture were included in this study. Results: A total of 76 bacterial isolates were documented in 67 episodes in 62 patients. There were 26 male and 36 female patients. The median age was 51 (14–81) years. The most common cancers were breast cancer (17.7%), non-Hodgkin lymphoma (16.1%), and colon cancer (14.5%). Gramnegative and gram-positive organisms accounted for 73.7% and 26.3% of all isolates, respectively. The most common gram-negative organisms were Pseudomonas aeruginosa (26.8%), Escherichia coli (23.2%), Klebsiella species (17.9%), and Acinetobacter baumannii (12.5%). The most common gram-positive organisms were Staphylococcus aureus (30.0%), followed by coagulase-negative Staphylococcus (25.0%). There were 14 multidrugresistant organisms and eight extended-spectrum beta-lactamases (ESBL). The resistance among gram-negative organisms to the commonly used broad-spectrum antibiotics was 23.5–55.6%. No resistance was recorded against vancomycin amongst the gram-positive organisms. Eight (12.1%) patients died while neutropenic. Conclusions: Gram-negative organisms were the predominant organisms. There is a high rate of resistance to the commonly used antibiotics. Using a combination of antibiotics is warranted in patients presenting with chemotherapy-induced febrile neutropenia.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.722

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.203
Teacher spread0.199 · 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