The Prevalence of Hypoglycemia in Children With Vomiting or Decreased Oral Intake and Irritability
Bibliographic record
Abstract
OBJECTIVE: This study aimed to estimate the prevalence of hypoglycemia in children younger than 5 years presenting to the emergency department with vomiting or decreased oral intake and irritability. METHODS: Children aged 1 month to 5 years presenting to the emergency department with vomiting (twice or more) or decreased oral intake (>50%) during the past 24 hours and irritability as part of the history of present illness were enrolled. Capillary blood glucose was obtained at triage. Patients with glucose level higher than 3.0 mmol/L were considered normoglycemic. Patients with glucose level of 3.0 mmol/L or lower were re-triaged (acuity level increased by 1), and sent to a treatment room with the recommendation that our institution's hypoglycemia protocol be applied. RESULTS: Of the 145 enrolled patients, 2 were hypoglycemic, for an estimated prevalence of 1.4%. The mean capillary blood glucose level was 5.4 mmol/L, and the range was 2.8 to 11.8 mmol/L. The average age of participants was 21 months, and 48.3% were female. Most were triaged category 4 or 5, and the most common discharge diagnoses were gastroenteritis, viral illness, and vomiting not yet diagnosed. CONCLUSIONS: Hypoglycemia is a rare occurrence in all-comers younger than 5 years with vomiting or decreased oral intake, even with early signs of neuroglycopenia. Measuring the capillary glucose is better left to the discretion of the physician than as part of triage.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".