Gastroenteritis Severity: A Prospective Cohort Comparison of Children in Emergency Department and Home Settings
Bibliographic record
Abstract
Abstract Background While nearly 2 million children are brought to emergency department (ED) annually due to vomiting and/or diarrhea from acute gastroenteritis (AGE), it is estimated that 90% of AGE cases do not seek medical care. We sought to determine whether the disease severity and enteropathogen burden of disease of children with AGE brought for ED care is different from those cared for at home. Methods Subjects were prospectively recruited by the APPETITE team in pediatric EDs in 2 urban centers and via HealthLink, a province-wide nurse telephone advice line. Eligibility criteria included: < 18 years old, AGE defined by ≥ 3 episodes of vomiting or diarrhea in the preceding 24 hours, and < 7 days of symptoms. The primary outcome was index encounter disease severity quantified using the modified Vesikari Scale (MVS) score. To eliminate the impact of the index encounter on the score we excluded the index ED visit and intervention from all calculations. Secondary objectives included the enteropathogen burden of disease. Two rectal swabs and stool were collected and tested for enteropathogens by enteric bacterial culture, Luminex xTAG GPP, and a 5-virus in-house RT-qPCR panel. Results Between December 9, 2014 and December 31, 2016, 1,623 participants were enrolled with 81.5% from the EDs. Median age was 20.1 months. Children who went to ED were less likely to have a family physician (62 vs. 82%, P < 0.001), more likely to have clinical dehydration (Clinical Dehydration Scale score 3 vs 1, P < 0.001) and vomiting (91 vs. 85%, P = 0.004), previously received IV fluids (4.1 vs. 0.7%, P = 0.001) or been admitted (5.4 vs. 1.3%, P = 0.002). The MVS score was similar between groups when the contribution of the index visit to the score was excluded (8.1 vs. 7.8, P = 0.15). Participants recruited in the ED were not significantly more likely to have bacterial pathogens (8.0 vs. 3.7%, P = 0.09) but were less likely to have viral pathogens identified (64.1 vs. 80.7, P < 0.001). Conclusion Children presenting for ED care had disease severity scores that were similar to children managed at home when the contribution of the index ED visit was accounted for. Viral pathogens were more common in AGE receiving care at home while those presenting to the ED and potentially have a clinically greater likelihood of having a bacterial enteropathogen. 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".