Prothrombin Complex Concentrates to Treat Coagulation Disturbances: An Overview With a Focus on Use in Infants and Children
Bibliographic record
Abstract
Various factors may lead to coagulation disturbances following cardiopulmonary bypass and surgery for congenital heart disease. In addition to the risks associated with the administration of allogeneic blood products, persistent disturbances in coagulation function and ongoing bleeding may lead to prolonged surgical times, hemodynamic alterations, intracranial hemorrhage, and even mortality. In most clinical scenarios, coagulation disturbances are treated by targeted blood product therapy including fresh frozen plasma, platelet transfusions, or the administration of cryoprecipitate. When routine blood product therapy fails, coagulation adjuncts such as activated recombinant factor VII or prothrombin complex concentrates (PCCs) may be an option to rapidly replenish depleted coagulation factors and correct coagulation disturbances. The PCC formulations including three-factor PCC, four-factor PCC, and factor eight-inhibitor bypass activator (FEIBA) have been used mainly in the adult population with sporadic case series and anecdotal reports in the pediatric population. The following manuscript discusses the various PCC products available for clinical use, reviews previous reports of their use in infants and children with an emphasis on their role following surgery for congenital heart disease, and outlines their potential role in these clinical scenarios.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".