Abstract 16435: Contemporary In-Hospital Outcomes of Chronic Total Occlusion Interventions: Update From the PROGRESS-CTO (prospective Global Registry for the Study of Chronic Total Occlusion Intervention) Multicenter International Registry
Bibliographic record
Abstract
Introduction: Chronic total occlusion (CTO) percutaneous coronary intervention (PCI) has been advancing due to improvement of equipment, operator experience, and techniques. Methods: We examined contemporary outcomes of CTO PCI by analyzing the clinical, angiographic, and procedural characteristics of 7,031 CTO interventions performed in 6,984 patients at 35 participating centers between 2012 and 2020. Results: Mean age was 64.5 ± 10 years and 82% of the patients were men. The patients had high prevalence of comorbidities, such as diabetes (42%), prior coronary artery bypass graft surgery (29%), prior myocardial infarction (45%), and prior heart failure (29%). The most common CTO target vessel was the right coronary artery (53%), followed by the left anterior descending artery (26%), and left circumflex artery (20%). The mean J-CTO and PROGRESS scores were 2.41 ± 1.28 and 1.09 ± 1.01, respectively. The overall technical and procedural success rates were 85.9% and 83.8% and the rate of in-hospital major cardiac adverse events (MACE) was 2.06%. Technical success and procedural success rates were lower for higher values of J-CTO and PROGRESS scores, and MACE rate was higher ( Figure 1 ). The final successful crossing strategy was antegrade wire escalation in 53.7%, retrograde in 19.9%, and antegrade dissection reentry in 14.6%. The overall median air kerma radiation dose, contrast volume, procedure and fluoroscopy time were 2.30 (1.30, 3.90) Gray, 225 (160, 305) ml, 115 (75, 170) and 43 (26, 70) minutes, respectively. Conclusions: Using a combination of crossing strategies, high success and acceptable complication rates can be achieved in CTO PCI among various centers and patient populations.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".