Intracranial hemorrhage in adults on ECMO
Bibliographic record
Abstract
RATIONALE: Extracorporeal membrane oxygenation (ECMO) use has exploded over the last decade. However, it remains invasive and associated with significant complications, including tamponade, infection, thrombosis, gas embolism and bleeding. The most dreaded complication is intracranial hemorrhage (ICH). In this article, we review the literature on the incidence, diagnosis, risk factors, pathophysiology, prognosis, prevention and management of ICH in adults on ECMO. MAIN FINDINGS: We found a high incidence of ICH in the literature with a poor prognosis. Important risk factors included pre-ECMO cardiac arrest, sepsis, influenza, renal failure, renal replacement therapy, hemolysis and thrombocytopenia. The optimal anticoagulation strategy is still uncertain. As platelet dysfunction and depletion appear to play an important role in the pathogenesis of ICH in patients on ECMO, a liberal platelet transfusion strategy may be advised. Prompt computed tomography (CT) diagnosis is of great importance as interventions to limit hematoma expansion and secondary neurological injury are most effective if instituted early. Transporting patients to the radiology department can be performed safely while on ECMO. A strategy combining screening CT on admission with a heparin-free period of extracorporeal support was demonstrated to be safe in VV-ECMO patients and resulted in a better prognosis compared to similar cohorts in the literature. CONCLUSION: Despite major technological improvements and all the experience gained in adults, ECMO remains associated with a high incidence of ICH. There are still wide gaps in our understanding of the disease. Optimal management strategies that minimize the risk of ICH and improve prognosis need to be further studied.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".