Literature DB >> 35138360

Prognostic factors of 10-year mortality after coronary artery bypass graft surgery: a secondary analysis of the arterial revascularization trial.

Suprateeka Talukder1, Arnaldo Dimagli2, Umberto Benedetto2, Alastair Gray3, Stephen Gerry4, Belinda Lees5, Łukasz Krzych6, Mario Gaudino7, David P Taggart5, Marcus Flather1.   

Abstract

OBJECTIVES: The objective of this investigation was to determine the preoperative prognostic factors of long-term (10-year) mortality in patients treated with isolated coronary artery bypass graft surgery in the arterial revascularization trial (ART).
METHODS: A post hoc analysis of the ART was conducted. Cumulative 10-year mortality was estimated using the Kaplan-Meier method. Prospectively collected preoperative data were used to determine the prognostic factors of 10-year all-cause mortality in patients who participated in the ART (Cox proportional hazards model).
RESULTS: A total of 3102 patients who participated in the ART were included in the analysis. Ten-year follow-up was completed in 3040 patients (98%). A total of 644 patients (20.8%) had died by 10 years. Preoperative factors that were identified as statistically significant predictors of 10-year mortality in the multivariable analysis (all P ≤ 0.01) were: left ventricular ejection fraction, atrial fibrillation, age, diabetes, prior cerebrovascular event (stroke or transient ischaemic attack), serum creatinine and smoking status. The following variables were significantly associated in univariable models but did not retain significance in the multivariable model for mortality: non-Caucasian ethnicity, hypertension, peripheral vascular disease, chronic obstructive pulmonary disease and prior myocardial infarction.
CONCLUSIONS: Independent predictors of 10-year mortality in the ART were multifactorial. Several key independent predictors of 10-year mortality in the ART were identified including: heart function, renal function, cerebrovascular disease, age, atrial fibrillation, smoking status and diabetes. Understanding which preoperative variables influence long-term outcome after coronary artery bypass grafting may help to target treatments to those at higher risk to reduce mortality.
© The Author(s) 2022. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  ART; Mortality; Prognostic factors

Mesh:

Year:  2022        PMID: 35138360      PMCID: PMC9154348          DOI: 10.1093/ejcts/ezac043

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.534


  29 in total

1.  EuroSCORE II.

Authors:  Samer A M Nashef; François Roques; Linda D Sharples; Johan Nilsson; Christopher Smith; Antony R Goldstone; Ulf Lockowandt
Journal:  Eur J Cardiothorac Surg       Date:  2012-02-29       Impact factor: 4.191

2.  Randomized trial to compare bilateral vs. single internal mammary coronary artery bypass grafting: 1-year results of the Arterial Revascularisation Trial (ART).

Authors:  David P Taggart; Douglas G Altman; Alastair M Gray; Belinda Lees; Fiona Nugara; Ly-Mee Yu; Helen Campbell; Marcus Flather
Journal:  Eur Heart J       Date:  2010-08-30       Impact factor: 29.983

3.  Prognosis and prognostic research: Developing a prognostic model.

Authors:  Patrick Royston; Karel G M Moons; Douglas G Altman; Yvonne Vergouwe
Journal:  BMJ       Date:  2009-03-31

4.  Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction.

Authors:  Arthur J Moss; Wojciech Zareba; W Jackson Hall; Helmut Klein; David J Wilber; David S Cannom; James P Daubert; Steven L Higgins; Mary W Brown; Mark L Andrews
Journal:  N Engl J Med       Date:  2002-03-19       Impact factor: 91.245

5.  Incidence and multivariable correlates of long-term mortality in patients treated with surgical or percutaneous revascularization in the synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) trial.

Authors:  Vasim Farooq; Patrick W Serruys; Christos Bourantas; Pascal Vranckx; Roberto Diletti; Hector M Garcia Garcia; David R Holmes; Arie-Pieter Kappetein; Michael Mack; Ted Feldman; Marie Claude Morice; Antonio Colombo; Marie-angèle Morel; Ton de Vries; Gerrit Anne van Es; Ewout W Steyerberg; Keith D Dawkins; Friedrich W Mohr; Stefan James; Elisabeth Ståhle
Journal:  Eur Heart J       Date:  2012-10-26       Impact factor: 29.983

6.  The impact of preoperative atrial fibrillation on early and late mortality after coronary artery bypass grafting.

Authors:  Sander Bramer; Albert H M van Straten; Mohamed A Soliman Hamad; Eric Berreklouw; Elisabeth J Martens; Jos G Maessen
Journal:  Eur J Cardiothorac Surg       Date:  2010-04-03       Impact factor: 4.191

7.  Pre- and postoperative atrial fibrillation in CABG patients have similar prognostic impact.

Authors:  Espen Fengsrud; Anders Englund; Anders Ahlsson
Journal:  Scand Cardiovasc J       Date:  2016-09-22       Impact factor: 1.589

8.  Preoperative atrial fibrillation and long-term survival after open heart surgery in a rural tertiary heart institute.

Authors:  Wesley T O'Neal; Jimmy T Efird; Stephen W Davies; Yuk Ming Choi; Curtis A Anderson; Linda C Kindell; Jason B O'Neal; T Bruce Ferguson; W Randolph Chitwood; Alan P Kypson
Journal:  Heart Lung       Date:  2013-08-27       Impact factor: 2.210

9.  Operative mortality in women and men undergoing coronary artery bypass grafting (from the California Coronary Artery Bypass Grafting Outcomes Reporting Program).

Authors:  Radhika Nandur Bukkapatnam; Khung Keong Yeo; Zhongmin Li; Ezra A Amsterdam
Journal:  Am J Cardiol       Date:  2009-12-21       Impact factor: 2.778

10.  Protocol for the Arterial Revascularisation Trial (ART). A randomised trial to compare survival following bilateral versus single internal mammary grafting in coronary revascularisation [ISRCTN46552265].

Authors:  David P Taggart; Belinda Lees; Alastair Gray; Douglas G Altman; Marcus Flather; Keith Channon
Journal:  Trials       Date:  2006-03-30       Impact factor: 2.279

View more
  1 in total

1.  Machine learning algorithms for predicting mortality after coronary artery bypass grafting.

Authors:  Amirmohammad Khalaji; Amir Hossein Behnoush; Mana Jameie; Ali Sharifi; Ali Sheikhy; Aida Fallahzadeh; Saeed Sadeghian; Mina Pashang; Jamshid Bagheri; Seyed Hossein Ahmadi Tafti; Kaveh Hosseini
Journal:  Front Cardiovasc Med       Date:  2022-08-24
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.