Intraoperative Takotsubo Syndrome
Bibliographic record
Abstract
Takotsubo cardiomyopathy is a rare condition that presents a diagnostic challenge due to its close resemblance to acute myocardial ischemia and other cardiac disorders. The excessive production of catecholamines triggers abnormal and severe changes in the myocardium, typically resulting in significant dyskinesia of the left ventricle's apex, reduced ejection fraction, hypotension, and pulmonary edema. Recent reports suggest that potential risk factors may include postmenopausal syndrome and intense, unexpected stress, whether related to life events or medical conditions. Complications such as heart failure, thrombosis, and severe arrhythmias are infrequent and more likely to occur in patients with pre-existing cardiac conditions. We present the case of a 22-year-old woman who developed intraoperative Takotsubo cardiomyopathy during a transsphenoidal resection of a prolactin-secreting pituitary tumor under general anesthesia. Perioperative combination of cabergoline and oxymetazoline induced intraoperative hypertension, pulmonary edema, and Takotsubo stress cardiomyopathy. To our knowledge, this is the first reported case in the literature of intraoperative Takotsubo cardiomyopathy, potentially linked to the specific combination of intraoperative cabergoline and oxymetazoline.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".