Clinical outcomes of percutaneous coronary intervention for chronic total occlusion by treated segment length
Bibliographic record
Abstract
BACKGROUND: Long lesions are known to have worse outcomes following percutaneous coronary intervention (PCI), but there are limited data assessing the association between lesion length and clinical outcomes in PCI procedures undertaken in chronic total occlusions (CTO). METHODS AND RESULTS: We formed a longitudinal cohort (2006-2018, n = 27,205) of stable angina patients who underwent PCI to CTO in the British Cardiovascular Intervention Society (BCIS) database. Clinical, demographical, procedural, and outcome data were analyzed in three groups by treated segment length, < 30 mm (n = 11,782), 30-59 mm (n = 10,415), ≥ 60 mm (n = 5008). Prevalence of previous myocardial infarction and PCI were higher in patients in 30-59 mm group or ≥ 60 mm group compared with < 30 mm group. Following multivariable analysis, no significant difference was observed in in-patient death (OR = 30-59 mm group = 1.10, CI:0.55-2.19, p = 0.78) (OR ≥ 60 mm group = 0.82, CI: 0.33-2.05, p = 0.67), and 1-year death (OR = 30-59 mm group = 1.06, CI: 0.81-1.37, p = 0.69) (OR ≥ 60 mm group =1.01, CI: 0.70-1.43, p = 0.99) (< 30 mm group = reference) but in-patient MACE was higher in > = 60 mm group (OR: 1.52, CI: 1.15-2.01, p = 0.06) but similar in 30-59 mm group (OR: 1.16, CI: 0.91-1.48, p = 0.22) compared with < 30 mm group. The adjusted rates of procedural complications were higher in ≥ 60 mm group (OR: 1.61, CI: 1.40-1.85, p < 0.001) but were similar in 30-59 mm group (OR: 1.06, CI: 0.94-1.20, p < 0.31) compared with < 30 mm group. For every 10 mm increase, there was an increased adjusted risk of in-patient procedural complications and coronary perforation but not in-patient MACE or death. CONCLUSION: Patients with very long CTO lesions have higher risk of procedural complications and in-patient MACE but similar risk of short or long-term mortality compared with short CTO lesions.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".