Traditional Versus Dual Lumen Microcatheter‐Assisted Parallel Wiring in Chronic Total Occlusion Percutaneous Coronary Intervention: Insights From the PROGRESS‐CTO Registry
Bibliographic record
Abstract
BACKGROUND: The effectiveness and safety of traditional versus dual lumen microcatheter (DLMC)-assisted parallel wiring in chronic total occlusion (CTO) percutaneous coronary intervention (PCI) has received limited study. AIMS: To compare traditional versus dual lumen microcatheter (DLMC)-assisted parallel wiring. METHODS: We compared the clinical and angiographic characteristics and outcomes of traditional versus DLMC-assisted parallel wiring after failed antegrade wiring (AW) in a large, multicenter CTO PCI registry. RESULTS: Among 1353 CTO PCIs with failed AW with a single wire, traditional parallel wiring (n = 1081) or DLMC-assisted parallel wiring (n = 272) were utilized at the operator's discretion. The baseline characteristics of patients were similar in both groups except for higher prevalence of diabetes mellitus, and lower prevalence of hypertension, prior heart failure, prior MI and cerebrovascular disease in DLMC patients. Lesions in the DLMC group were more likely to have proximal cap ambiguity, side branch at the proximal cap, blunt/no stump, moderate/severe calcification, and had higher J-CTO score (2.6 ± 1.0 vs. 2.1 ± 1.3, p < 0.001). Technical (87.1% vs. 74.3%, p < 0.001) and procedural (83.8% vs. 75.5%, p = 0.001) success and the incidence of in-hospital major cardiac adverse events (MACE) (4.8% vs. 2.0%, p = 0.020) were higher in the DLMC group. In propensity score matching analysis, DLMC-assisted wiring was associated with higher technical success (odds ratio [OR] 2.17, 95% confidence interval [CI] 1.33-3.54, p = 0.002) and no significant difference in MACE (OR 2.00, 95% CI 0.89-4.50, p = 0.093). CONCLUSIONS: In lesions that could not be crossed with AW, DLMC-assisted parallel wiring was associated with a higher likelihood of technical success, without an increased risk of MACE, compared with traditional parallel wiring.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".