Hemostatic Management of Extracorporeal Circuits Including Cardiopulmonary Bypass and Extracorporeal Membrane Oxygenation
Bibliographic record
Abstract
Cardiopulmonary bypass and extracorporeal membrane oxygenation (ECMO) cause hemostatic derangements that can predispose patients to both bleeding and thrombotic complications. Often, patients present for urgent surgery while taking medications including antiplatelet agents, vitamin K antagonists, and direct oral anticoagulants, which must be recognized, monitored, and managed. During extracorporeal circulation, appropriate anticoagulation, most commonly with heparin, is required to maintain blood flow and avoid thrombotic complications. However, anticoagulation and other effects of extracorporeal circuits can also have an undesired consequence of bleeding. Extracorporeal circulation leads to coagulopathy that may require therapy with blood products such as platelets, cryoprecipitate, and plasma in case a patient bleeds. Platelet dysfunction related to exposure to a foreign circuit is a primary concern, as is the development of acquired von Willebrand syndrome, which frequently remains undetected on routine testing. Hemorrhagic complications in ECMO, such as intracranial hemorrhage, pulmonary hemorrhage, and hemithorax, can occur. Hemostatic agents including antifibrinolytics, desmopressin, fibrinogen concentrates, and other factor concentrates may be needed to achieve hemostasis in these often-challenging patients. Managing bleeding on extracorporeal support requires careful monitoring and a thoughtful approach.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".