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Determinants of discharge following coronary artery bypass graft surgery

H L Lazar1, K Wilcox, J R McCormick

  • 1Department of Cardiothoracic Surgery, Boston University Medical Center.

Chest
|November 1, 1987
PubMed

Insights

Early discharge after coronary artery bypass graft (CABG) surgery is safe for select patients. Factors like female sex, older age, and major complications predict longer hospital stays following CABG.

Area of Science:

  • Cardiovascular Surgery
  • Health Services Research

Background:

  • The optimal discharge timing post-coronary artery bypass graft (CABG) surgery remains unclear.
  • Hospitalization duration after CABG varies significantly across medical institutions.

Purpose of the Study:

  • To identify factors differentiating early versus late discharge after CABG.
  • To inform clinical decision-making regarding patient discharge protocols.

Main Methods:

  • Retrospective analysis of 177 patients undergoing isolated CABG procedures.
  • Patients categorized into three discharge groups: ≤8 days, 9-11 days, and ≥12 days.
  • Chi-square analysis used to identify discriminating factors between early (≤8 days) and late (≥12 days) discharge.

Main Results:

  • Female sex, unstable angina, congestive heart failure (CHF), age ≥65 years, and major postoperative complications discriminated between early and late discharge groups (p<0.05).
  • No significant differences were observed in angina class, prior myocardial infarction, coronary artery disease extent, aortic cross-clamp time, graft number, ejection fraction, or minor complications.
  • Early discharge (≤8 days) did not correlate with increased 60-day readmissions or return visits.

Conclusions:

  • While early discharge (≤8 days) is feasible for some CABG patients, specific patient characteristics predict longer hospitalization.
  • Identifying high-risk patients (female, ≥65 years, unstable angina, CHF, major complications) can guide discharge planning.
  • This research supports tailored discharge strategies to optimize resource utilization and patient outcomes.

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