Bibliographic record
Abstract
Bivalirudin is a direct thrombin inhibitor (DTI) frequently used for anticoagulation in the setting of invasive cardiology, particularly percutaneous coronary intervention (PCI). Bivalirudin has a unique pharmacologic profile: unlike other marketed DTIs, it undergoes predominant non-organ elimination (proteolysis), and has the shortest half-life (approximately 25 min). Its affinity for thrombin is intermediate between that of lepirudin (highest) and argatroban (lowest)--this helps explain why it interferes with functional clotting assays to an extent intermediate between that achieved by these two other DTIs. This effect is best known for the PT (INR)--higher affinity for thrombin corresponds to lower molar DTI requirements to prolong the APTT; in turn, lower concentrations required for APTT prolongation (and, presumably, in-vivo effect) result in reduced PT (INR) prolongation. Bivalirudin is primarily used for its first FDA-approved indication, namely anticoagulation during percutaneous transluminal coronary angioplasty ("balloon angioplasty"), the most frequent type of PCI. Bivalirudin is also indicated for PCI with provisional use of glycoprotein IIb/IIIa antagonist therapy, and for patients with, or at risk of, heparin-induced thrombocytopenia (HIT), or HIT with thrombosis syndrome (HITTS), undergoing PCI. The bivalirudin development program has used a "quadruple" endpoint comprising a "triple" efficacy endpoint plus major bleeding - this approach anticipated the subsequent emphasis on strategies to improve clinical outcomes through bleeding reduction. Besides summarizing the key trials evaluating bivalirudin use for acute coronary syndrome (especially employing PCI), we review also the studies of bivalirudin as anticoagulant for "on-" and "off-pump" cardiac surgery, including both HIT and non-HIT situations.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".