Epidural Hematoma Following Cessation of a Direct Oral Anticoagulant
Bibliographic record
Abstract
OBJECTIVE: In this case report, we describe a case of epidural hematoma following epidural analgesia in a patient with recent cessation of a direct oral anticoagulant (DOAC). CASE REPORT: An 89-year-old woman requiring upper abdominal surgery presented with multiple comorbidities, including a prior cerebrovascular accident resulting in a left-sided hemiparesis and atrial fibrillation requiring anticoagulation with rivaroxaban. In accordance with our departmental guidelines at the time of procedure, rivaroxaban was discontinued 4 days preoperatively. A thoracic epidural was placed at T8/9 immediately prior to induction. Venous thromboembolism prophylaxis was provided with compression devices, and every-12-hour unfractionated heparin initiated 5.5 hours after epidural placement. On postoperative day 2, the patient was noted to have a bilateral motor block, and imaging demonstrated a thoracic epidural hematoma extending from T6 to T11. Preexisting neurological deficits may have delayed detection. With patient agreement, neurosurgery recommended observation rather than surgical decompression because the patient was a poor surgical candidate and limited neurologic recovery was expected. The patient had modest motor recovery over the next few months. CONCLUSIONS: Guidelines for cessation of DOACs prior to neuraxial techniques are based on pharmacologic half-lives rather than accumulated experience. This case adds to the experience of neuraxial analgesia complications while following these guidelines. Patient risk may be increased by the combination of recent cessation of a DOAC, as well as the cumulative effect of multiple small risk factors. Continued vigilance and reporting of cases of epidural hematomas will enhance our understanding and ultimately improve patient care. Elderly patients and/or patients with prior neurological deficits may present further challenges for early detection and require frequent assessments with comparison to baseline status.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".