Resolution of cardiac surgical bleeding with the combination of 4-factor prothrombin complex concentrate and fresh frozen plasma following lack of response to fresh frozen plasma alone in a patient with severe factor XI deficiency
Bibliographic record
Abstract
Factor XI deficiency is associated with a bleeding tendency in some patients. Factor XI helps to reduce fibrinolysis. Bleeding risk is increased in factor XI-deficient patients during surgeries with high fibrinolytic activity, including nasopharyngeal/oropharyngeal and genitourinary surgeries. Treatment options for factor XI-deficient patients include fresh frozen plasma (FFP), antifibrinolytics, recombinant factor VIIa, and factor XI concentrates (available in Australia, Canada, and some European countries). 4-factor prothrombin complex concentrate (4-factor PCC) is an extract of FFP comprised of unactivated factors II, VII, IX, and X, proteins C and S, and heparin. It has been used for cardiac surgical bleeding. We report the first case of a patient with severe factor XI deficiency and cardiac surgical bleeding, which resolved with the combination of 4-factor PCC and FFP after lack of response to FFP alone.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".