Electrocardiographic Criteria in Tako-Tsubo Cardiomyopathy—Is There Added Certainty in a Diagnosis Per Exclusionem?
Bibliographic record
Abstract
Tako-Tsubo cardiomypathy (TTC), also known as transient left ventricular apical ballooning syndrome, is a stress-induced cardiomyopathy that predominantly affects post-menopausal, elderly women during emotional or physical stress. Apical left ventricular dysfunction in the absence of significant coronary artery disease is the hallmark of this condition. Because the electrocardiogram (ECG) classically depicts precordial ST-segment elevations and cardiac biomarkers can often be raised, it can be a challenge to differentiate TTC from an acute myocardial infarction (AMI). Indeed, several recent studies have proposed ECG criteria to differentiate TTC from an AMI. We present a case series of consecutive patients in whom we had employed such ECG criteria but were unable to conclusively differentiate TTC from an AMI. In each case, TTC remained a diagnosis per exclusionem, where coronary angiography was necessary to rule out myocardial infarction. We review and discuss the commonly used ECG criteria and highlight the evolutionary ECG changes commonly noted with TTC to help better prepare clinicians when dealing with patients with similar clinical scenarios.
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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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".