Postpartum Hemorrhage Emergency Management Using Focused Assessment With Sonography For Obstetrics (FASO): A Case Report
Bibliographic record
Abstract
Postpartum hemorrhage is the leading cause of maternal death around the world according to World Health Organization [1]. While cesarean delivery is a risk factor, uterine atony is the main etiology [2]. Cesarean delivery and concomitant tubal sterilization are a known risk of postoperative intra-abdominal bleeding, which can be insidious and difficult to diagnose in the recovery period. Furthermore, a late diagnosis can lead to a less than optimal management. Point-of-care ultrasonography is an available technique that can contribute to a prompt diagnosis and accurate decision-making [3]. We present a case of a patient in postoperative care after cesarean delivery and tubal sterilization who developed hypovolemic shock symptoms, without any sign of uterine atony or vaginal bleeding. Focused assessment with sonography for obstetrics (FASO) was quickly performed in the recovery room to diagnose intra-abdominal bleeding and decision-making to perform an emergency surgical intervention.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".