Predictors of death during 5 years after coronary artery bypass grafting

Int J Cardiol. 1998 Mar 13;64(1):15-23. doi: 10.1016/s0167-5273(97)00299-4.

Abstract

Aim: To describe predictors of death during five years of follow-up after coronary artery bypass grafting (CABG).

Methods: All patients who underwent CABG during a period of three years in Western Sweden were included in the analysis and were prospectively followed for five years. Mortality was related to preoperative and peroperative factors as well as findings at physical examination and medication 4-7 days after the operation.

Results: In all 2121 patients underwent CABG without simultaneous valve surgery during the study period. The overall five-year mortality was 14.6%. The following appeared as independent predictors of death during five years but >30 days after CABG: Current smoking (relative risk ratio 2.43 [95% Ci 1.64-3.61]) degree of impairment of left ventricular function (1.51 [1.23-1.86]), a history of congestive heart failure (1.91 [1.35-2.701), age (1.04 [1.02-1.06]) arrhythmia 4-7 days after CABG (1.89 [1.26-2.83]), intermittent claudication (1.73 [1.19-2.52]), a history of diabetes (1.71 [1.16-2.51]), time in respirator (1.43 [1.13-1.81]), a history of cerebrovascular disease (1.72 [1.13-2.64]), treatment with digitalis at day 4-7 (1.48 [1.07-2.05]), enzyme release (1.49 [1.03-2.16]).

Conclusion: Among patients who underwent CABG 11 independent predictors for mortality were found including smoking habits at CABG, history of cardiovascular diseases, left ventricular dysfunction, age, post operative complications and medication after CABG.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Cause of Death*
  • Coronary Artery Bypass / adverse effects
  • Coronary Artery Bypass / mortality*
  • Coronary Disease / mortality
  • Coronary Disease / surgery*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Reoperation
  • Risk Factors
  • Sex Distribution
  • Sweden / epidemiology