ECMO for the pregnant and peripartum patient: A practical review of indications, unique management considerations, and an approach framework
Bibliographic record
Abstract
The use of extracorporeal membrane oxygenation (ECMO) to support the pregnant patient and fetus requires a complex decision-making process. Peripartum ECMO requires coordinated and informed decision-making between an interdisciplinary team of experts, incorporating the unique considerations and, at times, competing physiologic priorities of the pregnant patient. It is often confounded by a scarcity of local relevant experience engendered by its rare occurrence. No event has made the need for an organized approach to the utilization of ECMO in pregnant patients more pressing than the COVID pandemic. The conditions affecting pregnant patients that warrant ECMO consideration are high stakes and, at times, ethically challenging, although outcomes are favourable compared to the general population. This review provides background information and context, followed by a practical approach to the care and specific medical management of patients who are facing life-threatening conditions warranting ECMO while pregnant.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".