Clostridium Difficile Associated Diarrhea in Children with Hematological Malignancy-Experience from a Pediatric Oncologic Centre, Bangladesh
Bibliographic record
Abstract
Background: Clostridium difficile Associated Diarrhea (CDAD) is considered to be one of the commonest causes of nosocomial diarrhoea worldwide. Gastrointestinal infections in the form of diarrhoea are common in pediatric oncology patients in Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh. The study was conducted to find out the frequency of Clostridium difficile infection (CDI) among diarrheal children with haematological malignancy. Materials and Methods: This prospective observational study was conducted from April 2012 to March 2013 at the Pediatric Hematology and Oncology Unit, BSMMU, Bangladesh. Total 58 diarrheal episodes occurred in 51 children with various types of haematological malignancies were included consecutively. Faecal samples of the children were sent to International Centre for Diarrheal Disease Research, Bangladesh (ICDDR, B) laboratory for detection of Clostridium difficile antigen (GDH) and toxins (A and/ or B) by Enzyme Immunoassay (EIA). Results: Among 58 diarrheal episodes 22.4% faecal samples were positive for GDH, but none of the faecal samples was positive for toxin A and or B. There were a significant association with leucopenia, severe neutropenia; usage of meropenem plus vancomycin, cefepime plus amikacin, imipenem, cytarabine and omeprazole with GDH positive diarrheal episodes. Conclusion: Positive GDH antigen with a negative result for toxin indicates C. difficile colonization. Among GDH positive episodes, a significantly higher proportion of children had leucopenia, severe neutropenia and usage of some drugs known as risk factors for C. difficile infection. To confirm the CDI advanced tests are needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".