Heparin Resistance in ECMO and the Role of Direct Thrombin Inhibitors: A Case Report
Bibliographic record
Abstract
Extracorporeal membrane oxygenation (ECMO) is a potentially life-saving technology that can provide timely support to those failing to oxygenate their blood, either due to cardiac or respiratory related illnesses. However, ECMO also requires a careful hemostatic balance due to the thrombotic nature of the external circuit and the potential for bleeding events while anticoagulated. Current standard procedure for anticoagulating patients on ECMO is the use of unfractionated heparin. Despite its widespread use, many patients still face bleeding and/or clotting complications during their admission, some resulting in disastrous consequences. One possible etiology for this ineffectiveness is due to the mechanism by which heparin works via antithrombin (AT) and the AT deficiency of a critically ill patients. In this case study, we discuss the use of an alternative anticoagulant, a direct-thrombin inhibitor (DTI) in a patient cannulated to ECMO, which is independent of AT. The case study follows their course while on ECMO, focusing on relevant hemostatic measures. We further demonstrate the therapeutic potential for DTIs in place of UFH in ECMO patients, and the need for further research into anticoagulation strategies in critically ill patients.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.010 | 0.008 |
| 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".