Impact of extracorporeal shockwave myocardial revascularization on the ischemic burden of refractory angina patients: a single photon emission computed tomography study
Bibliographic record
Abstract
BACKGROUND: Extracorporeal shockwave myocardial revascularization (ESMR) is a non-invasive treatment designed to improve symptoms in refractory angina (RA) patients. Enhanced perfusion through local vasodilation and neo-capillarization is postulated to be the mechanism of the observed clinical benefit. However, the impact of ESMR on the ischemic burden of RA patients has not been adequately assessed. METHODS: One-hundred twenty-one consecutive RA patients suitable for ESMR were treated. Twenty-nine RA patients not suitable for treatment were clinically followed-up as a control group for clinical endpoints. ESMR-treated patients underwent baseline and 6-month single photon emission computed tomography (SPECT) to evaluate the changes in ischemic burden. The operator was blinded to the pre/post-treatment status of the SPECT exam. The primary endpoint was the difference in summed stress score (SSS) and summed difference score (SDS) between follow-up and baseline SPECTs. Secondary endpoints included the changes in Canadian Cardiovascular Society (CCS) angina class and nitroglycerin use between 6-month follow-up and baseline. Clinical endpoints were further compared between ESMR-treated patients and the control group. RESULTS: Following ESMR, a significant reduction in the ischemic burden was observed (follow-up SSS: 14.2±10 vs. baseline SSS: 21.2±9.42, P<0.0001; follow-up SDS: 4.6±5.9 vs. baseline SDS 10.2±7.9, P<0.0001) including less patients with moderate to severe ischemia (19% vs. 46% P<0.0001). CCS class and nitroglycerin use were significantly reduced (CCS: 1.5±0.6 vs. 2.7±0.6, P<0.0001; patients needing nitroglycerin: 24% vs. 64%, P<0.0001). When compared to the control group, CCS class reduction, nitroglycerin use and hospitalizations were significantly lower for ESMR treated vs. non-treated RA patients at 6-month follow-up. CONCLUSIONS: In this single-center cohort of RA patients undergoing ESMR treatment and serial myocardial perfusion imaging, ESMR was associated with a significant reduction in the ischemic burden. These findings provide a physiological rationale and mechanism for the observed clinical benefit.
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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 | 0.001 | 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) | 0.001 | 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".