Diffuse Deep T-Wave Inversions Following a Generalized Seizure
Bibliographic record
Abstract
BACKGROUND Stress cardiomyopathy (SCM) is a transient dysfunction of the left ventricle due to physical or emotional triggers that produces a range of electrocardiogram (ECG) changes. While ST-segment elevation or depression often leads to more urgent investigation and diagnosis, T-wave inversions can result in delayed diagnosis. CASE REPORT A 44-year-old woman with a prior left middle cerebral artery septic embolic stroke from endocarditis resulting in residual dense right sided hemiparesis and aphasia was admitted to the hospital for treatment of Staphylococcus aureus bacteremia. While hospitalized, she experienced a generalized seizure that was aborted with lorazepam and then loaded with phenytoin. Her ECG following the seizure showed a prolonged QT interval, for which her methadone that she was stabilized on during hospitalization was held. Her ECG to follow-up on her QT interval 25 h following the seizure showed new diffuse symmetric deep T-wave inversions. While initially believed to be due to the either the discontinuation of methadone or initiation of phenytoin, retrospective analysis revealed that these changes were more suggestive of a missed SCM. CONCLUSIONS We report a patient who experienced a generalized seizure resulting in diffuse, symmetric, deep T-wave inversions that were incorrectly attributed to medication effects before identifying the likely diagnosis of SCM. Fortunately for this patient, there were no consequences of the delayed diagnosis, but this case emphasises the importance of considering SCM following a generalized seizure in any patient with ECG abnormalities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".