144 Characterizing the Pain Experience of Children with Acute Gastroenteritis Based on Identified Pathogens
Bibliographic record
Abstract
Abstract Primary Subject area Emergency Medicine - Paediatric Background Many children with acute gastroenteritis (AGE) experience moderate-to-severe pain. To date, the relationship between specific enteropathogens and pain intensity in children with AGE is poorly characterized. Objectives To describe pain severity experienced by children with AGE, by enteropathogen type (i.e., bacteria, virus, co-detection) during the 24 hours prior to emergency department (ED) presentation and while in the ED. We also sought to describe analgesic medication use in AGE. Design/Methods Children 0 to under 18 years with symptoms of AGE (vomiting and/or diarrhea, less than 7 days duration) were prospectively recruited in two pediatric EDs from December 2014 to August 2018. Rectal swabs and stool specimens were analyzed with a commercial enteric panel, an in-house viral panel, and standard enteric bacterial culture. Pain severity was reported by caregivers, with input from the child whenever possible, using a validated 11-point Verbal Numerical Rating Scale from 0 (no pain) to 10 (maximum pain). Results 2686 children with AGE participated in the study. The overall maximal mean pain score was 5.50 (SD 3.00) during the 24 hours preceding the ED visit. Children with bacteria detected in their stool had a significantly higher mean pain score (difference: 1.10 [95% CI: 0.36, 1.84]) prior to ED visit and 1.32 (95% CI: 0.54, 2.10) while in the ED, compared to those with no pathogen identified. They also had significantly higher mean pain scores (difference: 1.10 [95%CI: 0.39, 1.81]) prior to ED visit and 1.44 (95%CI: 0.69, 2.20) while in the ED when compared to AGE caused by a single virus. Using a multivariable regression model, the association between pain severity and enteropathogen type was no longer demonstrated; however, longer illness duration (p=0.01), fever (p < 0.0001), increased number of diarrheal (p < 0.0001) and vomiting (p=0.03) episodes, and respiratory symptoms (p=0.03) were all associated with greater pain at home. Overall, analgesic use was low, with 41.6% (1117/2686) and 20.0% (538/2686) of participants receiving an analgesic at home and in the ED, respectively. Conclusion Enteropathogen type was not predictive of greater pain severity after adjustment for clinical symptoms (i.e., vomiting and diarrhea). The clinical constellation of symptoms accompanying any particular pathogen may differ between pathogens, and this clinical picture may play the greater role in pain experience. Analgesic use was low in children with this painful condition.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".