Transfusion Ratios and Deficits in Injured Children With Life-Threatening Bleeding*
Bibliographic record
Abstract
OBJECTIVES: To assess the impact of plasma and platelet ratios and deficits in injured children with life-threatening bleeding. DESIGN: Secondary analysis of the MAssive Transfusion epidemiology and outcomes In Children study dataset, a prospective observational study of children with life-threatening bleeding events. SETTING: Twenty-four childrens hospitals in the United States, Canada, and Italy. PATIENTS: Injured children 0-17 years old who received greater than 40 mL/kg total blood products over 6 hours or were transfused under activation of massive transfusion protocol. INTERVENTION/EXPOSURE: Weight-adjusted blood product volumes received during the bleeding event were recorded. Plasma:RBC ratio (plasma/RBC weight-adjusted volume in mL/kg) and platelet:RBC ratio (platelet/RBC weight-adjusted volume in mL/kg) were analyzed. Plasma deficit was calculated as RBC mL/kg - plasma mL/kg; platelet deficit was calculated as RBC mL/kg - platelet mL/kg. MEASUREMENTS AND MAIN RESULTS: Of 191 patients analyzed, median (interquartile range) age was 10 years (5-15 yr), 61% were male, 61% blunt mechanism, and median (interquartile range) Injury Severity Score was 29 (24-38). After adjusting for Pediatric Risk of Mortality score, cardiac arrest, use of vasoactive medications, and blunt mechanism, a high plasma:RBC ratio (> 1:2) was associated with improved 6-hour survival compared with a low plasma:RBC ratio (odds ratio [95% CI] = 0.12 [0.03-0.52]; p = 0.004). Platelet:RBC ratio was not associated with survival. After adjusting for age, Pediatric Risk of Mortality score, cardiac arrest, and mechanism of injury, 6-hour and 24-hour mortality were increased in children with greater plasma deficits (10% and 20% increased odds of mortality for every 10 mL/kg plasma deficit at 6 hr [p = 0.04] and 24 hr [p = 0.01], respectively); 24-hour mortality was increased in children with greater platelet deficits (10% increased odds of 24-hr mortality for every 10 mL/kg platelet deficit [p = 0.02)]). CONCLUSIONS: In injured children, balanced resuscitation may improve early survival according to this hypothesis generating study. Multicenter clinical trials are needed to assess whether clinicians should target ratios and deficits as optimal pediatric hemostatic resuscitation practice.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".