Deflated Balloon-Facilitated Direct Stenting in Primary Angioplasty (The DBDS Technique): A Pilot Study
Bibliographic record
Abstract
BACKGROUND: Several studies and meta-analyses have shown that direct stenting (DS) may improve clinical outcomes in patients with acute ST-elevation myocardial infarction (STEMI). But in most cases, the thrombolysis in myocardial infarction (TIMI) flow remains ≤ 1 after wire placement. We used deflated balloon to facilitate DS in patients with totally occluded culprit arteries. The aim of this study was to evaluate the feasibility, safety and outcomes of this novel technique in patients with STEMI in real-world clinical practice. METHODS: This was a prospective, observational, single-center pilot study. From September 2016 to June 2018, 454 patients were enrolled in the study. DS was performed when the culprit vessel was visualized with at least TIMI flow grade 1. Patients with complete occlusion of the vessel after wire placement were subjected to deflated balloon-facilitated DS technique (DBDS technique) and DS was done wherever possible. RESULTS: DS was done in 74% (n = 336) of the patients and 26% (n = 118) patients received stenting after pre-dilatation (PD). DBDS technique to facilitate DS was successful in 68% patients (211/309). Final TIMI 3 flow was achieved more frequently in the DS group as compared to PD group (96.7% versus 92.3%, P = 0.04). The procedural complications were also significantly lower in DS group (0.6% versus 7.6%, P < 0.001). DS group had significantly lower procedure time (33 ± 19 min versus 41 ± 17 min, P < 0.001), fluoroscopy time (6.2 ± 3.4 min versus 7.8 ± 32 min, P < 0.001), required lesser contrast volume (112 ± 16 mL versus 123 ± 18 mL, P < 0.001) and had lower procedural cost (310 ± 45$ versus 402 ± 56$, P < 0.001). ST-segment resolution > 50% after percutaneous coronary intervention (PCI) were significantly higher in the DS group (85.7% versus 71.1%, P < 0.001). At 30 days, the major adverse cardiac event (MACE) rate was significantly lower in the DS group (2.4% versus 9.3%, P = 0.02), mainly driven by lower rates of target lesion revascularization (TLR) (0.9% versus 4.2%, P = 0.01). CONCLUSION: This cost-effective technique appears to be simple, feasible and safe and is associated with superior clinical outcomes. It helps in maximizing DS and could offer an alternative to PD and aspiration thrombectomy in total occlusion. However, larger studies with longer follow up are required before a wider application of this technique.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".