Literature DB >> 22028352

Clinical, angiographic, and genetic factors associated with early coronary stent thrombosis.

Guillaume Cayla1, Jean-Sébastien Hulot, Stephen A O'Connor, Atul Pathak, Stuart A Scott, Yves Gruel, Johanne Silvain, Jean-Baptiste Vignalou, Yves Huerre, Axel de la Briolle, Frédérick Allanic, Farzin Beygui, Olivier Barthélémy, Gilles Montalescot, Jean-Philippe Collet.   

Abstract

CONTEXT: Despite dual antiplatelet therapy, stent thrombosis remains a devastating and unpredictable complication of percutaneous coronary intervention (PCI).
OBJECTIVE: To perform a sequential analysis of clinical and genetic factors associated with definite early stent thrombosis. DESIGN, SETTING, AND PARTICIPANTS: Case-control study conducted in 10 centers in France between January 2007 and May 2010 among 123 patients undergoing PCI who had definite early stent thrombosis and DNA samples available, matched on age and sex with 246 stent thrombosis-free controls. MAIN OUTCOME MEASURE: Accuracy of early stent thrombosis prediction by 23 genetic variants.
RESULTS: Among the 23 genetic variants investigated in 15 different genes, the significant determinants of early stent thrombosis were CYP2C19 metabolic status (adjusted odds ratio [OR], 1.99; 95% CI, 1.47-2.69), ABCB1 3435 TT genotype (adjusted OR, 2.16; 95% CI, 1.21-3.88), and ITGB3 PLA2 carriage (adjusted OR, 0.52; 95% CI, 0.28-0.95). Nongenetic independent correlates were acuteness of PCI (adjusted OR, 3.05; 95% CI, 1.54-6.07), complex lesions (American College of Cardiology/American Heart Association type C) (adjusted OR, 2.33; 95% CI, 1.40-3.89), left ventricular function less than 40% (adjusted OR, 2.25; 95% CI, 1.09-4.70), diabetes mellitus (adjusted OR, 1.82; 95% CI, 1.02-3.24), use of proton pump inhibitors (adjusted OR, 2.19; 95% CI, 1.29-3.75), and higher clopidogrel loading doses (adjusted OR, 0.73; 95% CI, 0.57-0.93). The discriminative accuracy of the clinical-only model was similar to that of a genetic-only model (area under the curve, 0.73 [95% CI, 0.67-0.78] vs 0.68 [95% CI, 0.62-0.74], respectively; P = .34). A combined clinical and genetic model led to a statistically significant increase in the discriminatory power of the model compared with the clinical-only model (area under the curve, 0.78 [95% CI, 0.73-0.83] vs 0.73 [95% CI, 0.67-0.78]; P = .004).
CONCLUSIONS: This case-control study identified 3 genes (CYP2C19, ABCB1, and ITGB3) and 2 clopidogrel-related factors (loading dose and proton pump inhibitors) that were independently associated with early stent thrombosis. Future studies are needed to validate the prognostic accuracy of these risk factors in prospective cohorts.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22028352     DOI: 10.1001/jama.2011.1529

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  52 in total

1.  Genetic and platelet function testing of antiplatelet therapy for percutaneous coronary intervention: the ARCTIC-GENE study.

Authors:  Jean-Philippe Collet; Jean-Sébastien Hulot; Thomas Cuisset; Grégoire Rangé; Guillaume Cayla; Eric Van Belle; Simon Elhadad; Hélène Rousseau; Pierre Sabouret; Stephen A O'Connor; Jérémie Abtan; Mathieu Kerneis; Christophe Saint-Etienne; Olivier Barthélémy; Farzin Beygui; Johanne Silvain; Eric Vicaut; Gilles Montalescot
Journal:  Eur J Clin Pharmacol       Date:  2015-08-13       Impact factor: 2.953

Review 2.  The Tradeoff Between Shorter and Longer Courses of Dual Antiplatelet Therapy After Implantation of Newer Generation Drug-Eluting Stents.

Authors:  John A Bittl
Journal:  Curr Cardiol Rep       Date:  2016-01       Impact factor: 2.931

Review 3.  Antiplatelet drug interactions with proton pump inhibitors.

Authors:  Stuart A Scott; Aniwaa Owusu Obeng; Jean-Sébastien Hulot
Journal:  Expert Opin Drug Metab Toxicol       Date:  2013-11-09       Impact factor: 4.481

Review 4.  The pharmacogenetic control of antiplatelet response: candidate genes and CYP2C19.

Authors:  Yao Yang; Joshua P Lewis; Jean-Sébastien Hulot; Stuart A Scott
Journal:  Expert Opin Drug Metab Toxicol       Date:  2015-07-14       Impact factor: 4.481

5.  Influence of Genetic Polymorphisms on Clopidogrel Response and Clinical Outcomes in Patients with Acute Ischemic Stroke CYP2C19 Genotype on Clopidogrel Response.

Authors:  Yan Han; Hui-Hui Lv; Xu Liu; Qiang Dong; Xiao-Li Yang; Shi-Xu Li; Shuai Wu; Jian-Ming Jiang; Zheng Luo; De-Sheng Zhu; Yi Zhang; Yi Zheng; Yang-Tai Guan; Jian-Feng Xu
Journal:  CNS Neurosci Ther       Date:  2015-07-15       Impact factor: 5.243

6.  Association Between ABCB1 Polymorphisms and Outcomes of Clopidogrel Treatment in Patients With Minor Stroke or Transient Ischemic Attack: Secondary Analysis of a Randomized Clinical Trial.

Authors:  Yuesong Pan; Weiqi Chen; Yilong Wang; Hao Li; S Claiborne Johnston; Tabassome Simon; Xingquan Zhao; Liping Liu; David Wang; Xia Meng; Yongjun Wang
Journal:  JAMA Neurol       Date:  2019-05-01       Impact factor: 18.302

7.  A prospective randomized evaluation of a pharmacogenomic approach to antiplatelet therapy among patients with ST-elevation myocardial infarction: the RAPID STEMI study.

Authors:  D Y F So; G A Wells; R McPherson; M Labinaz; M R Le May; C Glover; A J Dick; M Froeschl; J-F Marquis; M H Gollob; L Tran; J Bernick; B Hibbert; J D Roberts
Journal:  Pharmacogenomics J       Date:  2015-04-07       Impact factor: 3.550

8.  CYP2C19 and ABCB1 genetic polymorphisms correlate with the recurrence of ischemic cardiovascular adverse events after clopidogrel treatment.

Authors:  Xumin Hou; Wenzheng Han; Qian Gan; Yuan Liu; Weiyi Fang
Journal:  J Clin Lab Anal       Date:  2018-02-04       Impact factor: 2.352

Review 9.  Platelet function monitoring and clopidogrel.

Authors:  Andrew R Harper; Matthew J Price
Journal:  Curr Cardiol Rep       Date:  2013-01       Impact factor: 2.931

10.  PON1 Q192R genetic variant and response to clopidogrel and prasugrel: pharmacokinetics, pharmacodynamics, and a meta-analysis of clinical outcomes.

Authors:  Jessica L Mega; Sandra L Close; Stephen D Wiviott; Michael Man; Suman Duvvuru; Joseph R Walker; Scott S Sundseth; Jean-Philippe Collet; Jessica T Delaney; Jean-Sebastien Hulot; Sabina A Murphy; Guillaume Paré; Matthew J Price; Dirk Sibbing; Tabassome Simon; Dietmar Trenk; Elliott M Antman; Marc S Sabatine
Journal:  J Thromb Thrombolysis       Date:  2016-04       Impact factor: 2.300

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.