Chronic total coronary occlusion: treatment results
Bibliographic record
Abstract
OBJECTIVES: To describe the clinical and procedural coronary chronic total occlusion (CTO) treatment results in a Nordic PCI centre during the implementation of a CTO treatment program. DESIGN: In a retrospective registry study, we assessed; (1) indication for the procedure, (2) Canadian Cardiovascular Society angina pectoris score (CCS)/New York Heart Association (NYHA) heart failure score, (3) lesion complexity and (4) adverse events during hospital stay and three months following the index procedure. RESULTS: The study cohort included 503 patients (594 lesions). From 2010 to 2013 96% of procedures were performed with antegrade wire-escalation technique and 4% performed using retrograde techniques, from 2013-2016 the corresponding numbers were 83% and 17.0%. The procedural success rate was 69%, increasing from 64% before to 72% (p = .06) after routinely using the retrograde approach. No individual patient characteristic, lesion variable or score was strongly associated with procedural success or failure. There were 4% serious procedure related complications. In patients with PCI of a CTO lesion only, 87% were in CCS or NYHA functional class ≥2 before the index procedure vs. 22% at follow-up. CONCLUSIONS: Routine use of retrograde techniques tended to increase the procedural success rate. Clinical results after three months were acceptable, but the complication rate was higher than for non-CTO PCI. Individual patient and lesion characteristics had a low predictability for procedural success. Therefore, clinical symptoms, objective signs of myocardial ischemia and procedural risk should be focus points in coronary chronic total occlusion treatment strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".