Hypoglycemia in a Pediatric Emergency Department: Single-Center Experience on 402 Children.
Bibliographic record
Abstract
OBJECTIVES: This study aimed to establish the rate, etiology, and short-term outcome of hypoglycemia in infants and children accessing an emergency department of a tertiary care pediatric hospital. METHODS: The study was retrospectively conducted on the clinical records of children with hypoglycemia aged 15 days to 17 years who were admitted consecutively to the emergency department during a 6-year period for various clinical conditions. Hypoglycemia was defined as a venous plasma glucose level lower than 45 mg/dL. RESULTS: Hypoglycemia was detected in 402 patients (female-to-male ratio, 1.26; mean age, 2.6 ± 1.8 years), with a rate of 0.99 per 1000 children. Plasma glucose levels ranged from 3 to 45 (mean, 37.48 ± 7.44) mg/dL. Hypoglycemia was associated with gastroenteritis or other infectious diseases causing protracted fasting in 86.32% of cases, whereas hypoglycemia related to a different etiology (HDE) was observed in 13.68% of hypoglycemic children. Most HDE patients had a final diagnosis of ketotic hypoglycemia, whereas metabolic defects were a rare (1.49%) but nonnegligible etiologic cause. A severe triage code was more frequent in the HDE group (P < 0.001). Factors significantly and independently associated with HDE were impaired level of consciousness, assessed with the AVPU scale (A, alert; V, responding to verbal; P, responding to pain; U, unresponsive; adjusted odds ratio, 2.50; P = 0.025) and clinical onset within 12 hours (adjusted odds ratio, 3.98; P < 0.001). CONCLUSIONS: In a nonnegligible number of critically ill children, hypoglycemia can be detected. In a minority of cases, hypoglycemia was due to metabolic disorders that should be suspected on the basis of the severity of hypoglycemia, and the recent onset and the presence of neuroglycopenic symptoms.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".