Poor Prognosis in Warfarin-Associated Intracranial Hemorrhage Despite Anticoagulation Reversal
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Anticoagulant-associated intracranial hemorrhage (aaICH) presents with larger hematoma volumes, higher risk of hematoma expansion, and worse outcome than spontaneous intracranial hemorrhage. Prothrombin complex concentrates (PCCs) are indicated for urgent reversal of anticoagulation after aaICH. Given the lack of randomized controlled trial evidence of efficacy, and the potential for thrombotic complications, we aimed to determine outcomes in patients with aaICH treated with PCC. METHODS: We conducted a prospective multicenter registry of patients treated with PCC for aaICH in Canada. Patients were identified by local blood banks after the release of PCC. A chart review abstracted clinical, imaging, and laboratory data, including thrombotic events after therapy. Hematoma volumes were measured on brain CT scans and primary outcomes were modified Rankin Scale at discharge and in-hospital mortality. RESULTS: Between 2008 and 2010, 141 patients received PCC for aaICH (71 intraparenchymal hemorrhages). The median age was 78 years (interquartile range, 14), 59.6% were male, and median Glasgow Coma Scale was 14. Median international normalized ratio was 2.6 (interquartile range, 2.0) and median parenchymal hematoma volume was 15.8 mL (interquartile range, 31.8). Median post-PCC therapy international normalized ratio was 1.4: 79.5% of patients had international normalized ratio correction (<1.5) within 1 hour of PCC therapy. Patients with intraparenchymal hemorrhage had an in-hospital mortality rate of 42.3% with median modified Rankin Scale of 5. Significant hematoma expansion occurred in 45.5%. There were 3 confirmed thrombotic complications within 7 days of PCC therapy. CONCLUSIONS: PCC therapy rapidly corrected international normalized ratio in the majority of patients, yet mortality and morbidity rates remained high. Rapid international normalized ratio correction alone may not be sufficient to alter prognosis after aaICH.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".