研究目的
To evaluate the early follow-up status of significant stent malapposition (SSM) in patients treated with second-generation drug-eluting stent (DES).
研究成果
A spontaneous decrease in SSM was observed early in this qualified study with a large number of study patients treated with second-generation drug-eluting stent. Adequate stent implantation, as well as optimal stent selection and expansion, may further reduce SSM early after stent implantation.
研究不足
The included patients were clinically stable and were treated with short DES. The present results cannot extend to complex scenarios such as acute coronary syndrome, bifurcation, diffusely stenotic lesions, and chronic total occlusion. The associations between proposed procedural/OCT criteria and clinical outcomes were not investigated because clinical events occurred rarely during the follow-up period. The effects of preintervention OCT on significant malapposition were not evaluated because corresponding data were not available.
1:Experimental Design and Method Selection:
The study was a randomized trial comparing early strut coverage assessed by 3-month OCT between patients receiving everolimus- and biolimus-eluting stents and between patients undergoing OCT-guided and angiography-guided stent implantation using a 2-by-2 factorial design.
2:Sample Selection and Data Sources:
A total of 386 patients (390 lesions) who underwent both postintervention and 3-month follow-up OCT examinations were included.
3:List of Experimental Equipment and Materials:
Frequency-domain OCT system (C7-XR OCT imaging system; LightLab Imaging, Inc, St Jude Medical, St Paul, MN), offline computerized quantitative coronary angiographic system (CAAS; Pie Medical Imaging, Maastricht, the Netherlands), certified offline software (Qivus; Medis Medical Imaging Systems, the Netherlands).
4:Experimental Procedures and Operational Workflow:
Stent implantation was performed according to standard techniques. OCT examinations were performed at postintervention and 3-month follow-up.
5:Data Analysis Methods:
Statistical analysis was performed using SAS 9.2 (SAS Institute, Cary, NC).
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