Literature DB >> 24332189

Clinical, biochemical, and genetic predictors of coronary artery bypass graft failure.

Bobby Yanagawa1, Khaled D Algarni2, Steve K Singh3, Saswata Deb1, Jessica Vincent1, Randi Elituv1, Nimesh D Desai4, Karthikeyan Rajamani5, Bruce M McManus5, Peter P Liu6, Eric A Cohen7, Sam Radhakrishnan7, James D Dubbin7, Leonard Schwartz6, Stephen E Fremes8.   

Abstract

OBJECTIVES: To identify novel predictors for coronary artery bypass grafting failure, we probed for associations with known clinical and biochemical risk factors for atherosclerosis. We also used microarray analysis to identify novel single nucleotide polymorphisms to better understand the genetics and pathogenesis of graft occlusion.
METHODS: The present study was a nested case-control substudy of the Radial Artery Patency Study 5-year follow-up data. From 1996 to 2001, 87 patients underwent coronary artery bypass grafting. Of these, 26 patients (29.9%) had an occluded study graft (saphenous vein or radial artery) at 8.0 ± 1.1 years. The clinical parameters, late angiography, blood biomarker levels, and surgical outcomes data were included in a multivariate analysis to determine the independent predictors of graft failure.
RESULTS: The risk factors of graft failure were fibrinogen (odds ratio [OR], 3.94; 95% confidence interval [CI], 1.33-11.63; P = .01), creatinine (OR, 1.06; 95% CI, 1.02-1.10; P = .006), and diabetes mellitus (OR, 5.15; 95% CI, 1.08-24.59; P = .04). High-density lipoprotein (OR, 0.74; 95% CI, 0.53-1.02; P = .06) was weakly protective; however, low-density lipoprotein and total cholesterol were not predictors. We then identified the association of several human single nucleotide polymorphisms with graft failure, including mutations in glutathione-S-transferase α3. Human coronary arteries and bypass grafts demonstrated increased protein expression of glutathione-S-transferase α3, a known cardioprotective factor, in the atherosclerotic regions and surrounding adventitial tissues.
CONCLUSIONS: We identified diabetes as a potential clinical predictor and plasma fibrinogen, creatinine, and high-density lipoprotein as potential novel biomarkers. These might help risk stratify patients for the development of graft failure. We also demonstrated a novel association between glutathione-S-transferase α3 and graft failure.
Copyright © 2014 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 24332189     DOI: 10.1016/j.jtcvs.2013.10.011

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  11 in total

Review 1.  Vein graft failure: from pathophysiology to clinical outcomes.

Authors:  Margreet R de Vries; Karin H Simons; J Wouter Jukema; Jerry Braun; Paul H A Quax
Journal:  Nat Rev Cardiol       Date:  2016-05-19       Impact factor: 32.419

Review 2.  Coronary Artery Bypass: Review of Surgical Techniques and Impact on Long-Term Revascularization Outcomes.

Authors:  Brian McNichols; John R Spratt; Jerin George; Scott Rizzi; Eddie W Manning; Ki Park
Journal:  Cardiol Ther       Date:  2021-01-30

Review 3.  Management and Prevention of Saphenous Vein Graft Failure: A Review.

Authors:  Peter McKavanagh; Bobby Yanagawa; George Zawadowski; Asim Cheema
Journal:  Cardiol Ther       Date:  2017-07-26

4.  Does Early Graft Patency Benefit from Perioperative Statin Therapy? A Propensity Score-Matched Study of Patients Undergoing Off-Pump Coronary Artery Bypass Surgery.

Authors:  Shanglin Chen; Hengchao Wu; Tao Yang; Baotong Li; Yuanyu Hu; Hansong Sun
Journal:  Cardiovasc Ther       Date:  2019-08-06       Impact factor: 3.023

5.  Impact of Conventional Cardiovascular Risk Factors on Left Internal Mammary Artery Graft Disease.

Authors:  Hui-Juan Zuo; Nan Nan; Hong-Xia Yang; Jin-Wen Wang; Xian-Tao Song
Journal:  Front Cardiovasc Med       Date:  2022-01-14

Review 6.  Redo Coronary Artery Bypass Grafting in the era of Advanced PCI.

Authors:  Ter-Er Kusu-Orkar; Kellan Masharani; Amer Harky; Andrew D Muir
Journal:  Braz J Cardiovasc Surg       Date:  2022-08-16

Review 7.  Biomarkers in Coronary Artery Bypass Surgery: Ready for Prime Time and Outcome Prediction?

Authors:  Alessandro Parolari; Paolo Poggio; Veronika Myasoedova; Paola Songia; Giorgia Bonalumi; Alberto Pilozzi; Davide Pacini; Francesco Alamanni; Elena Tremoli
Journal:  Front Cardiovasc Med       Date:  2016-01-05

Review 8.  Inflammation in Vein Graft Disease.

Authors:  Margreet R de Vries; Paul H A Quax
Journal:  Front Cardiovasc Med       Date:  2018-01-24

9.  Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

Authors:  Sameera Senanayake; Adrian Barnett; Nicholas Graves; Helen Healy; Keshwar Baboolal; Sanjeewa Kularatna
Journal:  F1000Res       Date:  2019-10-29

10.  The effect of disease on human cardiac protein expression profiles in paired samples from right and left ventricles.

Authors:  Ben Littlejohns; Kate Heesom; Gianni D Angelini; M-Saadeh Suleiman
Journal:  Clin Proteomics       Date:  2014-09-01       Impact factor: 3.988

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