Venous Thromboembolism after Severe Injury in Children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Deep vein thrombosis and pulmonary embolism are considered common complications after major trauma. Their incidence and the associated risk factors have rarely been identified in injured children. METHODS: Severely injured children (age <18 years; admitted in a pediatric intensive care unit or length of stay > or = 72 h) with a discharge diagnosis of venous thromboembolism (VTE; deep venous thrombosis and/or pulmonary embolism) were identified from the institutional trauma registry between January 1, 1999 and April 31, 2002. The study centers included a dedicated pediatric trauma center and an adult trauma center with pediatric patients. Risk factors for VTE were identified using multivariate analysis. RESULTS: VTE was found in 11 of the 3,291 admissions, for a rate of 3.3/1,000 admissions. Children with VTE were older and had higher Injury Severity Scores. Independent risk factors for VTE included thoracic injuries [odds ratio (OR): 6.9; 95% confidence interval (CI): 1.4-35.1] and spinal injuries (OR: 37.4; 95% CI: 3.5-396.7). The greatest risk of VTE was in children with central venous catheters (OR: 64.0; 95% CI: 16.8-243.9). CONCLUSION: Older children with high Injury Severity Scores, thoracic injuries, spinal injuries or venous catheters are at risk for VTE. Because VTE prophylaxis, screening and treatment are associated with complications and costs, it is essential to identify subgroups of pediatric patients in whom these strategies might be studied.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it