The Adverse Events Rate of Endothelial Progenitor Cell Capturing Stent in the Treatment of CAD Patients

Author:

Xu Wei-Yuan1,Tang Wei-Liang1,Yuan Min1,Sun Yong1,Xu Feng1,Peng Fang1

Affiliation:

1. Department of Cardiology, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang 312000, China

Abstract

Background: Circulating endothelial progenitor cells (EPCs) have regenerative capacities and play an important role in vessel wall homeostasis. When attracted to the site of vessel wall injury, EPCs rapidly differentiate into a functional layer as part of the healing process. The Genous TM endothelial progenitor cell (EPC) capturing stent is coated with anti-human CD34+ antibodies which combine with circulating EPCs from the peripheral blood to the stent surface. Objective: This meta-analysis aims to explore the Genous TM endothelial progenitor cell capturing stent in coronary artery disease (CAD) adverse event rate after one-year follow-up. Methods: PubMed, EMBASE and, Google Scholar databases were searched for eligible studies. CAD survival data and clinicopathological features were analyzed by expected shortfall (ES) and 95% CI. Fixed-effect model and random-effect model are used for summary statistics. Results: 12 studies, including 15985 coronary artery disease (CAD) patients who received PCI treatment were included in this study. After 1-year follow-up, the rate of adverse event showed that the target vessel failure (TVF) was 8.5% (7.6%-17.4%), target vessel revascularization was 4.1% (TVR, 0-15.6%), target lesion revascularization was 4.2% (TLR, 3.7%-22%), myocardial infarction was 2.0% (MI, 1.8%-5.2%), major adverse cardiac events was 8.7% (MACE, 6.4%-28%), and the all-cause death was 4.0% (0-9.2). Conclusion: After one-year follow-up, the incidence rate of Genous stent adverse events was stable in CAD patients. The study showed a better evaluation of Genous stent, and it provides a better reference for CAD clinical treatment.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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