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  • 标题:Genetic risk model for in-stent restenosis of second-and third-generation drug-eluting stents
  • 本地全文:下载
  • 作者:Yen-Wen Liu ; Mu-Shiang Huang ; Ling-Wei Hsu
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2021
  • 卷号:24
  • 期号:9
  • 页码:1-14
  • DOI:10.1016/j.isci.2021.103082
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryThe new generation, i.e., second- and third-generation, drug-eluting stents (DESs) remain a risk of in-stent restenosis (ISR). We evaluated the power of a genetic risk score (GRS) model to identify high-risk populations for new generation DES ISR. We enrolled patients with coronary artery disease (CAD) treated with new generations DESs by a single-center cohort study in Taiwan and evaluated their genetic profile. After propensity score matching, there were 343 patients and 153 patients in the derivation and validation cohorts, respectively. Five selected single-nucleotide polymorphisms (SNPs), i.e., SNPs inCAMLG,GALNT2,C11orf84,THOC5, and SAMD11, were included to calculate the GRS for new generation DES ISR. In the derivation and the validation cohorts, patients with a GRS greater than or equal to 3 had significantly higher new generation DES ISR rates. We provide biological information for interventional cardiologists prior to percutaneous coronary intervention by specific five SNP-derived GRS.Graphical abstractDisplay OmittedHighlights•A validated GRS model identified high-risk population for new generation DES ISR•This GRS includes 5 SNPs in exons:CAMLG,GALNT2,C11orf84,THOC5, and SAMD11•The patients with high GRSs (≥3) had higher rates of new generation DES ISR•The GRS provides crucial information in shared decision-making process clinicallyMedicine; Clinical genetics; Drugs
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