Pathogen inactivation treatment of plasma and platelet concentrates and their predicted functionality in massive transfusion protocols
Bibliographic record
Abstract
BACKGROUND: Trauma transfusion packages for hemorrhage control consist of red blood cells, plasma, and platelets at a set ratio. Although pathogen reduction improves the transfusion safety of platelet and plasma units, there is an associated reduction in quality. This study aimed to investigate the impact of riboflavin/ultraviolet light-treated plasma or platelets in transfusion trauma packages composed of red blood cell, plasma, and platelet units in a ratio of 1:1:1 in vitro by modeling transfusion scenarios for trauma patients and assessing function by rotational thromboelastometry. STUDY DESIGN AND METHODS: Pathogen-reduced or untreated plasma and buffy coat platelet concentrate units produced in plasma were used in different combinations with red blood cells in trauma transfusion packages. After reconstitution of these packages with hemodiluted blood, the hemostatic functionality was analyzed by rotational thromboelastometry. RESULTS: Hemostatic profiles of pathogen-inactivated buffy coat platelet concentrate and plasma indicated decreased activity compared with their respective controls. Reconstitution of hemodiluted blood (hematocrit = 20%) with packages that contained treated or nontreated components resulted in increased alpha and maximum clot firmness and enhanced clot-formation time. Simulating transfusion scenarios based on 30% blood replacement with a transfusion trauma package resulted in a nonsignificant difference in rotational thromboelastometry parameters between packages containing treated and nontreated blood components (p ≥ 0.05). Effects of pathogen inactivation treatment were evident when the trauma package percentage was 50% or greater and contained both pathogen inactivation-treated plasma and buffy coat platelet concentrate. CONCLUSION: Rotational thromboelastometry investigations suggest that there is relatively little impact of pathogen inactivation treatment on whole blood clot formation unless large amounts of treated components are used.
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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) | 0.000 | 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) | 0.000 | 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".