Risk Factors for Ankle Fractures in Asian Adolescents Seen in a Pediatric Emergency Department
Bibliographic record
Abstract
OBJECTIVES: Pediatric ankle injuries remain one of the most common presenting complaints to the pediatric emergency department (PED). In this study, we aimed to describe risk factors associated with simple ankle fractures and ankle fractures that require surgery, among adolescents presenting to the PED with ankle injuries. METHODS: We analyzed a retrospective cohort study of adolescents 12 to 16 years old who presented to our PED with an acute ankle injury and received an ankle radiograph from November 1, 2016, to October 31, 2017. Demographic, anthropometric variables, physical examination findings including those of the Ottawa Ankle Rules were obtained. We recorded any surgical interventions required, as well as follow-up and to return to physical activity. RESULTS: Five hundred fifty-six cases of adolescent ankle injuries were reviewed, of which 109 adolescents had ankle fractures, whereas 19 had ankle fractures requiring surgery. Sports-related injuries remained the most common cause of ankle fractures. Age (adjusted odds ratio [aOR], 0.69; 95% confidence interval [CI], 0.56-0.83; P < 0.001), male sex (aOR, 2.12; 95% CI, 1.34-3.35; P < 0.001), clinical findings of tenderness over the lateral malleolus (aOR, 3.13; 95% CI, 1.74-5.64; P < 0.001) or medial malleolus (aOR, 3.55; 95% CI, 2.18-5.78; P < 0.001), and inability to walk (aOR, 3.09; 95% CI, 1.95-4.91; P < 0.001) were significant independent risk factors for ankle fractures.Patients with a weight more than 90th centile for age were at greater risk of ankle fractures requiring surgery (aOR, 2.64; 95% CI, 1.05-6.64; P = 0.04). CONCLUSIONS: We found that younger age, male sex, and clinical findings in the Ottawa Ankle Rules correlated well with predicting ankle fractures and are well suited for application in the Southeast Asian population. Weight greater than the 90th percentile for age was a significant risk factor for ankle fractures requiring surgery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".