Literature DB >> 33470872

Risk prediction of in-stent restenosis among patients with coronary drug-eluting stents: current clinical approaches and challenges.

Atsushi Sakamoto1, Yu Sato1, Rika Kawakami1, Anne Cornelissen1, Masayuki Mori1, Kenji Kawai1, Raquel Fernandez1, Daniela Fuller1, Neel Gadhoke1, Liang Guo1, Maria E Romero1, Frank D Kolodgie1, Renu Virmani1, Aloke V Finn1,2.   

Abstract

Introduction: In-stent restenosis (ISR) has been one of the biggest limitations to the success of percutaneous coronary intervention for the treatment of coronary artery disease (CAD). The introduction of drug-eluting stent (DES) was a revolution in the treatment of CAD because these devices drastically reduced ISR to very low levels (<5%). Subsequently, newer generation DES treatments have overcome the drawbacks of first-generation DES, i.e. delayed endothelialization, and late stent thrombosis. However, the issue of late ISR, including neoatherosclerosis after DES implantation especially in high-risk patients and complex lesions, still exists as a challenge to be overcome.Areas covered: We discuss the mechanisms of ISR development including neoatherosclerosis, past and current clinical status of ISR, and methods to predict and overcome this issue from pathological and clinical points of view.Expert opinion: The initial drawbacks of first-generation DES, such as delayed endothelial healing and subsequent risk of late stent thrombosis, have been improved upon by the current generation DES. To achieve better long-term clinical outcomes, further titration of drug-release and polymer degradation profile, strut thickness as well as material innovation are needed.

Entities:  

Keywords:  Drug-eluting stent; coronary artery disease; in-stent restenosis; percutaneous coronary intervention

Year:  2021        PMID: 33470872     DOI: 10.1080/14779072.2021.1856657

Source DB:  PubMed          Journal:  Expert Rev Cardiovasc Ther        ISSN: 1477-9072


  3 in total

1.  Random forest vs. logistic regression: Predicting angiographic in-stent restenosis after second-generation drug-eluting stent implantation.

Authors:  Zhi Jiang; Longhai Tian; Wei Liu; Bo Song; Chao Xue; Tianzong Li; Jin Chen; Fang Wei
Journal:  PLoS One       Date:  2022-05-23       Impact factor: 3.752

2.  Local hemodynamic analysis after coronary stent implantation based on Euler-Lagrange method.

Authors:  Yuchen Wang; Jingmei Zhan; Weiguo Bian; Xiaoli Tang; Min Zeng
Journal:  J Biol Phys       Date:  2021-05-27       Impact factor: 1.560

3.  Macrophage membrane camouflaged reactive oxygen species responsive nanomedicine for efficiently inhibiting the vascular intimal hyperplasia.

Authors:  Boyan Liu; Wenhua Yan; Li Luo; Shuai Wu; Yi Wang; Yuan Zhong; Dan Tang; Ali Maruf; Meng Yan; Kun Zhang; Xian Qin; Kai Qu; Wei Wu; Guixue Wang
Journal:  J Nanobiotechnology       Date:  2021-11-17       Impact factor: 10.435

  3 in total

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