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A Murine Model of Stent Implantation in the Carotid Artery for the Study of Restenosis
Published on: May 14, 2013
Predictors of Target Lesion Failure in Patients With In-Stent Restenosis: Insights From the AGENT IDE Trial
J Dawn Abbott1, Nicholas Kassis2, Azeem Latib3
1Brown University Health Cardiovascular Institute, Providence, RI (J.D. Abbott).
Background:
Predictors of target lesion failure (TLF) after percutaneous coronary intervention with drug-coated balloon therapy in patients with in-stent restenosis, as opposed to de novo disease, are limited. This post hoc analysis of the AGENT IDE trial (Agent Paclitaxel-Coated PTCA Balloon Catheter for the Treatment of Subjects With In-Stent Restenosis) aimed to identify predictors of TLF in patients with in-stent restenosis treated with a paclitaxel-coated balloon.
Methods:
Of the 600 patients with in-stent restenosis in the AGENT IDE trial, 406 were randomized to treatment with the paclitaxel-coated balloon. Among this cohort, demographic, clinical, and core laboratory angiographic data were assessed using a Cox proportional hazards model to identify independent predictors of TLF, defined as the composite occurrence of ischemia-driven target lesion revascularization, target vessel-related myocardial infarction, or cardiac death, at 2-year follow-up.
Results:
Independent risk factors for 2-year TLF, which occurred in 106 (27.0%) of patients, included multiple stent layers (hazard ratio, 1.80 [95% CI, 1.23-2.65]), White race (hazard ratio, 1.71 [95% CI, 1.03-2.85]), and postlesion preparation in-lesion % diameter stenosis (per 10% increment; hazard ratio, 1.16 [95% CI, 1.03-1.31]). The presence of the target lesion in the left anterior descending artery was associated with a reduced risk of 2-year TLF (hazard ratio, 0.56 [95% CI, 0.36-0.87]).
Conclusions:
Our findings highlight the variable risk of in-stent restenosis governed by relatively few patient and lesion factors and underscore the significance of optimal lesion preparation before drug-coated balloon therapy as a potentially modifiable factor.
Registration:
URL: https://www.clinicaltrials.gov; Unique identifier: NCT04647253.