Bibliographic record
Abstract
Amniotic fluid embolism (AFE) is a rare but deadly complication of pregnancy. First described in 1926, it remains a diagnosis of exclusion, without clear etiology or a specific test to confirm the diagnosis. Mortality remains high and neurological injury is common among survivors, although reported case fatality rates are decreasing over time. Hemodynamic instability appears to be caused by severe pulmonary vasospasm and subsequent right heart failure, followed by severe left ventricular failure. Presentation is often sudden with loss of consciousness and circulatory arrest, requiring immediate cardiopulmonary resuscitation, vasopressor and inotropic support, and endotracheal intubation. Disseminated intravascular coagulation commonly follows with severe coagulopathy and postpartum hemorrhage and may in some cases be the primary presenting feature. Management remains largely supportive, with the use of extracorporeal membrane oxygenation and inhaled pulmonary vasodilators assuming an increased role, in addition to advanced life support methods. Blood products and coagulation factor replacement are frequently required, sometimes in the form of a massive transfusion. This narrative review summarizes the past and current literature, emphasizing rapid identification of AFE and therapeutic options for its immediate management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".