Outcome analysis in patients with multi vessel coronary artery disease and left ventricular ejection fraction after percutaneous coronary intervention: single center experience
Bibliographic record
Abstract
Background: The present study evaluated the changes in baseline left ventricular function and clinical symptoms in multi-vessel coronary artery disease patients after multi-vessel percutaneous coronary intervention.Methods: This was a prospective, observational study conducted at Medical Super-speciality Hospital, Kolkata, India, between August 2017 and August 2019. The study included 48 patients who were diagnosed with ≥2 coronary artery stenosis of ≥50% in native coronary arteries with left ventricular ejection fraction (LVEF) <40%. Echocardiography was performed before and after 3 months of the procedure to observe LVEF. Canadian Cardiovascular Society (CCS) score was calculated before and after 3 months after PCI.Results: Mean age of the patients was 61.89±9.96 years and 89.6% patients were male. Mean LVEF before and after angioplasty was 34.9±4.95% and 42.06±8.78%, respectively (p=0.001). CCS score before and after angioplasty was 2.89 and 1.83, respectively (p=0.001).Conclusions: The results displayed significant improvement in clinical symptoms as well as LVEF after PCI in patients with multi-vessel disease with LVEF <40%. These results will be helpful to conduct larger randomized trials with long term follow-up in order to prove the safety and effectiveness of PCI in such patients over coronary artery bypass grafting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 teacher head, 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".