Predictors associated with stroke after coronary artery bypass grafting: a systematic review

Zhifeng Mao1, Xiaonan Zhong1, Junjie Yin1

  • 1Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, China.

Insights

Predicting stroke after coronary artery bypass grafting (CABG) is crucial. Advanced age, prior stroke, carotid stenosis, peripheral vascular disease, unstable angina, longer bypass times, and atrial fibrillation are key predictors of perioperative stroke.

Area of Science:

  • Cardiovascular Surgery
  • Neurology
  • Public Health

Background:

  • Stroke is a significant complication following coronary artery bypass grafting (CABG), contributing to morbidity and mortality.
  • Identifying predictors of perioperative stroke is essential for patient risk stratification and management.

Purpose of the Study:

  • To systematically review and evaluate the predictors of perioperative stroke after CABG.
  • To synthesize findings from studies utilizing multivariate regression models to identify prognostic factors.

Main Methods:

  • Systematic review of published literature on prognostic factors for perioperative stroke post-CABG.
  • Inclusion of studies employing multivariate regression models.
  • Qualitative synthesis and assessment of statistical validity of prognostic models.

Main Results:

  • Fourteen studies were reviewed, with variable methodological quality.
  • Stroke incidence ranged from 1.1% to 5.7%, with 37-59% occurring intraoperatively.
  • Consistent predictors included advanced age, prior cerebrovascular disease/stroke, carotid stenosis, peripheral vascular disease, unstable angina, prolonged cardiopulmonary bypass, and postoperative atrial fibrillation.

Conclusions:

  • Seven key variables indicate a high atherosclerotic burden and are associated with increased perioperative stroke risk after CABG.
  • The study highlights the need for standardized stroke assessment scales in post-CABG evaluations.
  • Findings offer insights for improving future research on stroke prediction in CABG patients.
Abstract

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