Anticoagulant Management and Outcomes in Nontraumatic Intracranial Hemorrhage Complicated by Venous Thromboembolism: A Retrospective Chart Review
Bibliographic record
Abstract
BACKGROUND: There are limited data on anticoagulant management of acute venous thromboembolism (VTE) after spontaneous intracranial hemorrhage (ICH). METHODS: We reviewed retrospectively all cases diagnosed with VTE during hospitalization for spontaneous ICH at our center during 15 years. Anticoagulation management outcomes were (1) timing after ICH of anticoagulant initiation for VTE treatment, (2) use of immediate therapeutic dosing or stepwise dose escalation, and (3) the proportion achieving therapeutic dose. Primary clinical effectiveness outcome was recurrent VTE. Primary safety outcome was expanding ICH. RESULTS: We analyzed 103 cases with VTE after 11 days (median; interquartile range [IQR]: 7-22) from the diagnosis of ICH. Forty patients (39%) achieved therapeutic anticoagulation 21.5 days (median; IQR: 14-34 days) from the ICH. Of those, 14 (35%; 14% of total) received immediately therapeutic dose and 26 (65%; 25% of total) had stepwise escalation. Anticoagulation was more aggressive in patients with VTE >14 days after admission versus those with earlier VTE diagnosis. Twenty-two patients (21%) experienced recurrent/progressive VTE-less frequently among patients with treatment escalation within 7 days or with no escalation than with escalation >7 days from the VTE. There were 19 deaths 6 days (median; IQR: 3.5-15) after the index VTE, with significantly higher in-hospital mortality rate among patients without escalation in anticoagulation. CONCLUSION: Prompt therapeutic anticoagulation for acute VTE seems safe when occurring more than 14 days after spontaneous ICH. For VTE occurring earlier, it might also be safe with therapeutic anticoagulation, but stepwise dose escalation to therapeutic within a 7-day period might be preferable.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 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".