Death in severely malnourished hospitalized children presenting with diarrhea and vomiting
Bibliographic record
Abstract
INTRODUCTION: There is lack of data on outcomes of severely malnourished children who are hospitalized with concomitant diarrhea and vomiting. We sought to evaluate outcomes of such children. METHODOLOGY: In this retrospective chart review, we used electronic databases to evaluate children aged 0-59 months and admitted to the Dhaka Hospital of the International Centre for Diarrhoeal Disease Research, Bangladesh, with diarrhea and severe malnutrition between April 2011 and August 2012. Outcomes of children with and without vomiting were compared. The primary outcome was death. A probability of ≤ 0.05 was considered statistically significant. RESULTS: Out of 306 enrolled children, 51 (17%) had vomiting and 255 (83%) did not have vomiting. A total of 31 (10%) children died, 12 (24%) of them had vomiting and 19 (8%) did not have vomiting. Death was significantly higher in severely malnourished diarrheal children with vomiting (12/51 (24%)) compared to those without vomiting (19/255 (8%)) (Relative risk [RR] 2.73, 95% confidence interval [CI] 1.61-4.64; p < 0.001). We used Log linear bi-nominal regression after adjusting for potential confounders such as metabolic acidosis and hypoglycemia, and found that vomiting was significantly associated with deaths in severely malnourished diarrheal children (RR 1∙89, 95% CI 1.01-1.33; p = 0.05). CONCLUSIONS: Our analysis showed that children with diarrhea and severe malnutrition who had vomiting during hospitalization were at a higher risk of death compared to those without vomiting. The results underscore the importance of prompt identification and management of vomiting to reduce deaths in such children.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".