Safety and Efficacy of Combined Coronary and Peripheral Percutaneous Revascularization: A Proof-of-Concept Study
Bibliographic record
Abstract
Background. Lower extremity peripheral artery disease (LEPAD) frequently coexists with coronary artery disease (CAD) in patients with multisite vascular disease (MVD). While percutaneous revascularization is well-established for both LEPAD and CAD, limited evidence exists for patients eligible for both procedures. Specifically, the feasibility of concomitant LEPAD and CAD percutaneous revascularization remains unknown. Objectives. To compare the efficacy and safety of concomitant coronary and lower extremity elective percutaneous revascularization. Methods. Between 2012 and 2021, we included 135 patients in an observational, retrospective single-center registry. The population was stratified into two groups: 45 patients (concomitant group) underwent simultaneous coronary and peripheral percutaneous interventions, and 90 patients (deferred group) underwent two separate procedures within one year. The primary efficacy endpoint was major adverse cardiovascular events (MACE) at one year, while the primary safety endpoint was in-hospital contrast-induced nephropathy (CIN). Results. Study groups were well-balanced in baseline characteristics. In terms of coronary features, the concomitant revascularization group more often underwent single-vessel percutaneous coronary intervention (PCI), while the deferred group had multivessel PCI with diffuse coronary disease. No differences were detected in the number of LEPAD lesions between groups. For the primary efficacy endpoint, the incidence of MACE at one year was 37.8% in the concomitant group vs. 34.4% in the deferred group (HR 1.20, 95% CI 0.64–2.10; p = 0.61). No significant differences were found in CIN occurrence between the concomitant and deferred groups (11.1% vs. 8.9%; OR 1.30; 95% CI 0.36–4.21; p = 0.68). Conclusions. Multisite vascular disease patients eligible for CAD and LEPAD percutaneous revascularization exhibited a high cardiovascular risk profile with diffuse multivessel coronary and lower extremity disease. Our study suggests the efficacy and safety of concomitant coronary and lower extremity percutaneous revascularization based on one-year MACE incidence and in-hospital CIN. However, dedicated studies are warranted to confirm the short- and long-term outcomes of the concomitant revascularization strategy.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".