Impact of final kissing balloon inflation after simple stent implantation for the treatment of non-left main true coronary bifurcation lesions in patients with acute coronary syndrome
Bibliographic record
Abstract
OBJECTIVES: We sought to evaluate the impact of final kissing balloon inflation (FKBI) after simple stent implantation for the treatment of non-left main true coronary bifurcation lesions in patients with acute coronary syndrome (ACS). BACKGROUND: Whether FKBI should be mandatory after simple stent implantation for the treatment of coronary bifurcation lesion is controversial. Besides, ACS patients who have undergone bifurcation percutaneous coronary intervention with simple stent implantation may experience worse prognosis compared to stable angina pectoris patients. METHODS: Two hundred and fifty one eligible patients (67.7% male, mean age 61.7 ± 10.4 years) were enrolled. The study population was divided into two groups according to the performance of FKBI. The primary end points were major adverse cardiac event (MACE); target lesion revascularization (TLR), non-fatal myocardial infarction (MI) and cardiac death during the follow-up period. RESULTS: Over a mean follow-up period of 3.0 ± 1.9 years, there were 29 MACEs (10 TLR, 6 non-fatal MI, and 13 cardiac deaths), representing an event rate of 11.6%. Kaplan-Meier survival analysis revealed that FBKI group had favorable outcome compared to non-FKBI group with regard to hard events (p = 0.010) as well as composite MACEs (p = 0.008). In multivariable analysis, FKBI was a significant predictor of composite MACEs [hazard ratio 0.398 (95% confidence interval 0.190-0.836, p = 0.015)] and hard events [hazard ratio 0.325 (95% confidence interval 0.130-0.811, p = 0.016)]. CONCLUSIONS: In terms of prognosis, performing FKBI after simple stent implantation for the treatment of non-left main true coronary bifurcation lesions may be mandatory in ACS patients.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".