Dyspnea in pregnancy. Can POCUS be the game changer?
Bibliographic record
Abstract
Dyspnea is a common symptom during pregnancy, but it can present a diagnostic challenge. While it may often be attributed to physiological changes it may also signal serious underlying conditions such as asthma crisis, infection, pulmonary edema (PEd), pulmonary embolism, and amniotic fluid embolism. Point-of-care ultrasound (POCUS) is a swift and effective bedside modality for assessing acute or critical medical conditions. It can be used as an alternative or alongside traditional formal ultrasound conducted by a radiology-cardiology service. This review explores the role of POCUS in the parturient experiencing shortness of breath, highlighting the potential value of maternal cardiopulmonary POCUS in obstetric anesthesia, facilitating timely treatment and providing immediate differential diagnosis in potentially unstable patients. As an example, a case is discussed involving a sudden onset of PEd and loss of consciousness in a 48-year-old patient who underwent a category-1 cesarean section under general anesthesia. POCUS identified severely decreased global systolic function and confirmed pulmonary edema through the presence of B-Kerley lines, providing a swift guidance for intraoperative inotropic support and fluid management while excluding other causes of pathological dyspnea in pregnancy.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".