The effects of cardiac rehabilitation on overall physical capacity and myocardial perfusion in women with microvascular angina
Bibliographic record
Abstract
BACKGROUND: Cardiac syndrome X (CSX) is linked with changes in microcirculation, without significant changes in main coronary vessels. According to European Society of Cardiology 2013 stable coronary artery disease (CAD) criteria, CSX was replaced by microvascular angina (MA). The main feature of MA should be regional myocardial ischaemia; however, there are several works on this subject which failed to demonstrate the presence of perfusion defects. AIM: To determine the effect of non-pharmacological procedures (cardiac rehabilitation) in patients diagnosed with MA on changes in left ventricular perfusion as assessed by myocardial single photon emission computed tomography, along with potential related improvements in exercise capacity. METHODS: Toward this goal we screened for the presence of CAD in a group of 528 women, of whom 55 were not only diagnosed with MA but also agreed to participate in our study, which involved myocardial perfusion imaging (MPI) studies, during which exercise tests and cardiac rehabilitation were performed. RESULTS: Comparison of results obtained at the beginning of the study with data obtained after completion of a three month period of cardiac rehabilitation showed improvements in both exercise test parameters (length of test, metabolic equivalents, blood pressure control during extortion) and MPI parameters for the left ventricle (both at rest and stress, global and regional). CONCLUSIONS: Cardiac rehabilitation is a very useful tool of choice in the treatment of patients with MA.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".