Retroperitoneal haematoma associated with enoxaparin use in an elderly woman with chronic kidney disease
Bibliographic record
Abstract
An 81-year-old woman with chronic kidney disease was on enoxaparin (1 mg/kg subcutaneously two times a day) for 4 months to manage pulmonary embolism. While admitted for diagnostic evaluation of frequent falls, transient ischaemic attacks and pain management, she developed vomiting, diarrhoea, melena and hypotension. Her estimated glomerular filtration rate decreased from an admission value of 34 mL/min/1.73 m2 to 13 mL/min/1.73 m2. CT scan showed retroperitoneal haematoma. She was placed in intensive care and stabilised with aggressive fluid replacement, blood transfusion, and discontinuation of enoxaparin and concomitant aspirin. We attribute this major bleeding to enoxaparin use in an elderly woman with chronic kidney disease and concomitant aspirin intake. We will review reported cases of enoxaparin-associated retroperitoneal haematoma. We suggest that enoxaparin be used with caution in elderly patients with chronic kidney disease, and stress that treatment monitoring and reversal may not be readily available.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".