Exercise-Induced Syncope During Treadmill Testing in a Sedentary Woman: A Case Report
Bibliographic record
Abstract
Vasovagal syncope (VVS), which is triggered by physical exertion, is typically observed in athletes or patients with structural heart disease. There have been few reported cases among sedentary individuals. This case report details the experience of a 42-year-old sedentary woman who fainted during a treadmill stress test. Despite the absence of abnormalities in baseline cardiac and neurological evaluations, the patient exhibited sinus arrest (lasting 5–12 seconds) with significant ST-segment depression during haemodynamic collapse. Comprehensive assessments, incorporating coronary angiography, echocardiography, cranial computed tomography (CT), and biochemical testing, excluded the presence of structural or ischemic heart disease, arrhythmogenic syndromes, and cerebrovascular disorders. A Calgary Syncope Symptom Score of 3 confirmed the diagnosis of VVS, a diagnosis that was further substantiated by the patient’s symptoms resolving spontaneously when she was positioned supine. This case demonstrates that exercise-induced syncope can occur in individuals who are physically unfit and have no cardiac abnormalities. Transient ST-segment changes in such cases reflect autonomic nervous system dysfunction rather than myocardial ischaemia. It is incumbent upon clinicians to consider a neurocardiogenic mechanism in sedentary patients presenting with exertional syncope despite a negative standard cardiac evaluation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".