Prothrombin complex concentrate for emergency surgery in patients on oral Xa-inhibitors
Bibliographic record
Abstract
BACKGROUND: It is uncertain whether prothrombin complex concentrate (PCC) improves hemostasis in patients on treatment with oral factor Xa-inhibitors (XaI) who require emergency surgery. OBJECTIVES: To evaluate whether, in patients with therapeutic levels of oral XaI, preoperative PCC prevents excessive bleeding during and after emergency surgery and is not associated with thrombotic complications. METHODS: We conducted a prospective cohort study wherein a fixed 2000 IU dose of 4-factor PCC was given to patients taking oral XaI with plasma XaI levels of at least 75 ng/mL before the emergency surgery with an expected blood loss of at least 50 mL. Patients were followed for 30 days. The primary efficacy outcome was the incidence of normal or mildly abnormal surgical hemostasis, as assessed by the surgeon; primary safety outcome was the incidence of thromboembolic events within 7 days. RESULTS: We included 20 patients, of which 50% were female, on apixaban (75%) or rivaroxaban (25%) with median XaI level of 128 ng/mL (range, 77-497 ng/mL). The median duration of surgery was 2 hours 42 minutes (range, 15 minutes to 8 hours 17 minutes). Normal or mildly abnormal hemostasis was observed in 16 patients (80%); 2 patients had moderately abnormal and 2 had severely abnormal hemostasis, 1 each of those was considered due to local or technical factors. There were 4 deaths (20%) secondary to underlying disease and 1 incidental pulmonary embolism in a patient with cancer. CONCLUSION: A fixed dose of PCC appears to control hemostasis in patients with therapeutic plasma levels of apixaban or rivaroxaban requiring emergency surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".