Serotonin Syndrome After Treatment of Nausea and Vomiting in Pregnancy
Bibliographic record
Abstract
BACKGROUND: Nausea and vomiting in pregnancy often require pharmacotherapy for symptom management. Serotonin syndrome is a rare clinical entity that can be precipitated by the medications used to treat nausea and vomiting in pregnancy. CASE: A 35-year-old pregnant individual with a history of hyperemesis gravidarum in an earlier pregnancy requiring prolonged hospitalization presented with nausea and vomiting at 7 weeks of gestation. She was incidentally found to have severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection when she was universally screened at the time of admission. She required pharmacotherapy, including prochlorperazine and ondansetron for treatment of nausea as well as sumatriptan for migraine. She developed acute spasticity, autonomic dysfunction, and temperature rise, precipitated by antiemetic therapy, consistent with serotonin syndrome. The syndrome resolved with supportive care and benzodiazepines. CONCLUSION: Serotonin syndrome is a serious clinical entity that can be provoked by the pharmacotherapy given to treat nausea and vomiting in pregnancy. This medical emergency requires early recognition and prompt 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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".