Patterns of Bacterial Isolates and their Resistance to Antibiotics in Patients with Chemotherapyinduced Febrile Neutropenia at a University Hospital
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".