Epidemiology of Oronasal Hemorrhage in the First 2 Years of Life: Implications for Child Protection
Bibliographic record
Abstract
BACKGROUND: Epistaxis in childhood is common but unusual in the first years of life. Oronasal blood has been proposed as a marker of child abuse. METHODS: We performed a retrospective review of all hospital notes of children in the Lothian region of Scotland who were <2 years of age and in whom facial blood had been recorded over a 10-year period. RESULTS: There were 77,173 accident and emergency department attendances with 58,059 admissions during the 10-year study period in children <2 years of age; 16 cases of nose bleed and 3 cases of hemoptysis were recorded. All cases of hemoptysis were associated with significant bouts of coughing and respiratory infections. Epistaxis in 8 cases was associated with visible trauma and in 4 cases with thrombocytopenia (secondary to malignancy in 3). In 2 cases, an associated apparent life-threatening event was described, and in 2 cases there was a coincident upper respiratory tract infection. Review of previous and subsequent history suggested 7 cases of "accidental" injury that might have been caused by abuse. These cases are described here. All children who presented with this problem to the accident and emergency department had been admitted for observation or management. CONCLUSIONS: Epistaxis is rare in the accident and emergency department and hospital in the first 2 years of life and is often associated with injury or serious illness. The investigation of all cases should involve a pediatrician with expertise in child protection.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".