Amniotic fluid embolism
Bibliographic record
Abstract
PURPOSE OF REVIEW: This article reviews the incidence, pathophysiology, risk factors, diagnosis, and management of amniotic fluid embolism (AFE). RECENT FINDINGS: AFE is a leading cause of maternal morbidity and mortality despite an incidence of approximately 7 to 8 per 100,000 births. Recent reevaluation of AFE suggests that the presence of fetal tissue in maternal circulation alone is not sufficient to cause the clinical syndrome, but rather an individual's response to this fetal tissue. The 'anaphylactoid reaction' associated with AFE shares many clinical and metabolic aspects of septic shock. Acute dyspnea followed by cardiovascular collapse, coagulopathy, and neurological symptoms, such as coma and seizures may all be associated with the clinical AFE syndrome. Specific biochemical markers have been described, but are of limited clinical value because of the rapid progression of the disease process. Treatment is based on an interdisciplinary approach that consists of a combination of prompt, aggressive hemodynamic resuscitation, provision of end-organ support, correction of hemostatic disorders, and delivery. SUMMARY: Although AFE cannot be prevented, early diagnosis and intervention may lead to better outcomes for both the mother and the fetus. Clinical suspicion, traditional laboratory data, or intravascular cellular debris (demonstrated only in 50% of patients) are insufficient to make a definitive diagnosis of AFE. An evolving array of novel biomarkers may help differentiate AFE from other conditions, but none of them currently provide sufficient 'early warning' ability to make real-time impact on diagnosis and/or treatment of AFE.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.000 | 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 teacher head, 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".