Abnormal ECG in a Structurally Normal Heart
Bibliographic record
Abstract
A 63-year-old woman presented with an abnormal electrocardiogram (ECG) triggered by a murmur on physical examination. The ECG showed low atrial ectopic rhythm at rate 46 bpm with diffuse abnormal T wave and prolonged QTc at 546 milliseconds (Fig. 1). She was completely asymptomatic. She had a history of hypertension with no other cardiovascular risk factors along with normal laboratory values. Coronary angiography revealed normal coronary arteries and normal left ventricle (LV) contractility. An ECG demonstrated normal LV size and systolic function, and cardiac magnetic resonance imaging (MRI) revealed normal LV size and function with no evidence of myocardial edema, necrosis, fibrosis, or acute myocardial tissue injury of the LV. Right ventricular size and systolic function were also normal. The main differential diagnosis of inverted T waves includes ischemia, hypertrophy, and intracranial abnormalities. As such, we did proceed with computed tomography head that showed evidence of 3.7 cm mass most consistent with planum sphenoidale meningioma. A subsequent MRI confirmed a broad-based dural mass measuring 34 × 35 × 27 mm centred in the anterior cranial fossa with a significant superolateral mass effect on the overlying bilateral frontal lobes with vasogenic edema (Fig. 2, A and B ). Dynamic ECG changes have been observed in patients with subarachnoid haemorrhage or stroke. Cerebrovascular masses may also increase sympathetic activity and a-adrenergic stimulation with subsequent ECG changes such as ST-segment depression, profound T-wave inversion, and QTc interval prolongation.1Hersch C. Electrocardiographic changes in head injuries.Circulation. 1961; 23: 853-860Crossref PubMed Scopus (86) Google Scholar, 2Kopikkar S. Baranchuk A. Guzman J.C. Morillo C.A. Stroke and ventricular arrhythmias.Int J Cardiol. 2013; 168: 653-659Abstract Full Text Full Text PDF PubMed Scopus (35) Google Scholar, 3Kukla P. Jastrzębski M. Kurdzielewicz W. et al.Dynamic ECG changes in a patient with subarachnoid haemorrhage.Kardiol Pol. 2014; 72: 473-475Crossref PubMed Scopus (1) Google Scholar Our patient presented with ECG changes secondary to the meningioma mass effect. The patient was referred to neurosurgery and is planned for surgical excision of the mass. No funding was received for this study.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".