Identifying Enteropathogens in Children with Acute Gastroenteritis Presenting with Isolated Vomiting–Appetite Study
Bibliographic record
Abstract
Abstract Background As diarrheal stool samples are the recommended specimen for testing in acute gastroenteritis (AGE), etiological investigations are rarely performed in children presenting with isolated vomiting. This study identifies enteropathogens in children with AGE presenting with isolated vomiting. Methods Children <18 years old with ≥3 episodes of vomiting/diarrhea in 24 hours and <7 days of symptoms were recruited in 2 pediatric emergency departments, a public health clinic and via Health Link, a provincial nurse advice phone line. Rectal swabs and stool samples were collected and tested using the Luminex xTAG GPP, an in-house 5-virus RT-qPCR panel and enteric bacterial culture. Vomiting and diarrhea data were collected at enrollment (day 0) and at day 14. Results Between Dec 9, 2014 and Apr 14, 2016, 2,184 children were enrolled and tested: 784 (36%) presented with isolated vomiting, 250 (11%) with isolated diarrhea (ID), 1,138 (52%) with both vomiting and diarrhea (V&D), 12 had missing data. The detection of enteropathogens was 56% when presenting with isolated vomiting, 55% with ID and 83% with V&D. Of the 784 children with isolated vomiting, 54% (n = 424) had one or more viruses: the most common was norovirus (NoV) (n = 244, 50%), followed by adenovirus (Adv) (91, 19%), rotavirus (Rota) (57, 12%), sapovirus (84, 17%) and astrovirus (10, 2%). Fifty-eight cases had >1 virus; co-infection with NoV and Adv was the most common (n = 23). Ten of these 424 patients also had enteric bacteria (2 Aeromonas, 2 ETEC, 2 Salmonella, 2 Yersinia, 1 Campylobacter, 1 E coli O157) and 8/9 (89%) of these patients reported development of diarrhea at day 14. In comparison, 212/383 (55%) of patients with virus only reported diarrhea at follow up. Enteric bacteria with no virus was detected in 11 patients (3 Aeromonas, 3 Salmonella, 3 STEC, 1 Campylobacter, 1 E coli O157) and 3/10 of these patients reported diarrhea. Conclusion Over 50% of AGE presented with isolated vomiting had enteric virus identified in stool or rectal swabs, representing a significant pathogen-based disease burden not previously included in healthcare planning (e.g., Rota vaccine). NoV was the predominant agent followed by Adv and Rota. Finding enteric bacteria in these cases is novel and requires further study. Disclosures All authors: No reported disclosures.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".