Drug‐Coated Balloons in Chronic Total Occlusion Percutaneous Coronary Intervention: Insights From the PROGRESS‐CTO Registry
Bibliographic record
Abstract
BACKGROUND: There is limited information on the use of drug-coated balloons (DCBs) in chronic total occlusion (CTO) percutaneous coronary intervention (PCI). AIMS: To assess the frequency and outcomes of DCB use in CTO PCI. OBJECTIVE: This study evaluated the frequency and outcomes of DCB use in a large, multicenter CTO PCI registry. METHODS: We analyzed 12,146 patients who underwent 12,157 successful CTO PCIs at 59 centers from 2018 to 2025. RESULTS: DCBs were used in 454 patients (3.7%) with increasing frequency over time (p = 0.020). A DCB-only strategy was used in 48.4% of the patients and a hybrid strategy combining DCBs and drug-eluting stents (DES) was used in 51.6% of patients. Patients treated with DCB (both strategies) had low prevalence of comorbidities. Compared with the DES cases, DCB only cases had favorable angiographic characteristics, lower mean J-CTO (Japanese CTO) score (1.83 ± 1.03 vs. 2.27 ± 1.23; p < 0.001), and similar technical success (96.3% vs. 97.3%; p = 0.640), and in-hospital major adverse cardiac events (MACE). The hybrid and DCB-only strategies had comparable technical success and in-hospital MACE. During a median follow-up of 323 (170-429) days, DCB only cases had lower MACE than the other strategies (hazard ratio [HR] 0.41, 95% CI 0.17-0.96, p = 0.040). After multivariable adjustment, the association remained significant (HR 0.39, 95% CI 0.16-0.92, p = 0.032). CONCLUSIONS: DCBs are increasingly being used in CTO PCI. A DCB only strategy was used in less complex lesions and was associated with similar technical success and in-hospital MACE compared with hybrid or DES strategies. A DCB only strategy was associated with lower long-term MACE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".