Survey of pediatric massive transfusion protocol practice at United States level I trauma centers: An AABB Pediatric Transfusion Medicine Subsection study
Bibliographic record
Abstract
BACKGROUND: Trauma remains the leading cause of pediatric mortality in the United States. Although use of massive transfusion protocols (MTPs) in this population is widespread, optimal pediatric resuscitation is not well established. We sought to assess contemporary pediatric MTP practice in the United States. STUDY DESIGN AND METHODS: A web-based survey was designed by the Association for the Advancement of Blood & Biotherapies (AABB) Pediatric Transfusion Medicine Subsection and distributed to select American College of Surgeons (ACS) Level I Verified pediatric trauma centers. The survey assessed current MTP policy, implementation, and recent changes in practice. RESULTS: Response rate was 55% (22/40). Almost half of the respondents were from the South. The median RBC:plasma ratio was 1 (interquartile range 1-1.5). Protocolized fibrinogen supplementation was common while integration of antifibrinolytic therapy into MTPs was infrequent. Viscoelastic testing (VET) was available at most sites, 71% (15/21, one site did not respond), and was generally utilized on an ad-hoc basis. Roughly, a third of sites had changed their MTP in the past 3 years due to blood supply issues, and about a third reported having group O Whole Blood on-site. CONCLUSION: MTP practice is similar throughout the United States. Though fibrinogen supplementation is common-other emerging interventions such as antifibrinolytic therapy or utilization of routine viscoelastic testing-are not widespread. Pediatric transfusion medicine experts must continue to follow practice change, as contemporary large trials begin to characterize new supportive modalities to optimize resuscitation in pediatric trauma patients.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 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".