Six-month outcomes after single- and multi-lesion percutaneous coronary intervention: results from the ROSETTA registry.
Bibliographic record
Abstract
BACKGROUND: The American College of Cardiology/American Heart Association exercise testing guidelines suggest that routine functional testing may benefit patients at high risk of restenosis, such as those undergoing multi-lesion percutaneous coronary intervention (PCI). OBJECTIVES: To compare the six-month post-PCI clinical and procedural outcomes in patients following single- and multi-lesion PCI, and to examine the use of routine functional testing (ie, in all patients) versus selective functional testing (ie, only in those with recurrent symptoms) following multi-lesion PCI. METHODS: Six-month outcomes among 562 patients after single-lesion PCI and 229 patients after multi-lesion PCI were examined. All patients were enrolled in the Routine versus Selective Exercise Treadmill Testing after Angioplasty (ROSETTA) registry, a prospective, multicentre registry examining the use of functional testing after successful PCI. RESULTS: For single- versus multi-lesion PCI patients, respectively, rates of death (1.8% versus 2.2%, P=0.7) and myocardial infarction (0.7% versus 2.6%, P=0.03) were low in both groups. Rates of unstable angina (12.0% versus 11.7%, P=0.9) and the composite clinical end point of death, myocardial infarction or unstable angina (13.5% versus 13.9%, P=0.9) were similar. Multi-lesion PCI patients had a higher number of repeat PCI procedures (6.6% versus 13.4%, P=0.02) but there was no difference in the rates of coronary artery bypass graft surgery (3.0% versus 2.6%, P=0.7). A routine functional testing strategy was used in 28.0% of single-lesion and 31.6% of multi-lesion patients. In a multivariate analysis of the multi-lesion patients, routine functional testing was not associated with a significant reduction in the composite clinical event rate (odds ratio 0.5, 95% CI 0.2 to 1.7, P=0.27). CONCLUSIONS: During the six-month period following successful PCI, clinical event rates were similar among patients undergoing single- or multi-lesion PCI. Routine functional testing was not associated with a statistically significant benefit in patients after multi-lesion PCI. However, additional study is required to better define the role of routine functional testing in this subgroup of 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".