Analysis of Readmissions to The Intensive Care Unit After Coronary Artery Bypass Surgery: Ten Years' Experience

Kamil Cantürk Çakalağaoğlu1, Emre Selçuk2, Hasan Erdem3

  • 1Bakırköy Sadi Konuk Research and Education Hospital Department of Cardiovascular Surgery Istanbul Turkey Department of Cardiovascular Surgery, Bakırköy Sadi Konuk Research and Education Hospital, Istanbul, Turkey.

Insights

Intensive care unit (ICU) readmission after coronary artery bypass grafting (CABG) occurs in 3.5% of patients, significantly increasing 90-day mortality. Identifying risk factors like respiratory and cardiac complications is crucial for better patient outcomes.

Area of Science:

  • Cardiovascular Surgery
  • Critical Care Medicine
  • Health Services Research

Background:

  • Coronary artery bypass grafting (CABG) is a common cardiac surgery procedure.
  • Intensive care unit (ICU) readmission after initial recovery can indicate underlying patient vulnerability or care gaps.

Purpose of the Study:

  • To determine the incidence, causes, and predictors of ICU readmission following CABG surgery.
  • To assess the impact of ICU readmission on patient mortality after CABG.

Main Methods:

  • Retrospective analysis of 4112 patients undergoing on-pump CABG from January 2007 to January 2017.
  • Comparison of demographic and perioperative characteristics between patients with and without ICU readmission.

Main Results:

  • The ICU readmission rate was 3.5%, with respiratory (29%) and cardiac (23.4%) complications being the primary causes.
  • ICU readmission was strongly associated with increased 90-day mortality (22.1% vs. 1.6%).
  • Predictive factors included severe left ventricular dysfunction, COPD, ESRD, emergency CABG, high EuroSCORE II, prolonged cross-clamp time, and various postoperative complications.

Conclusions:

  • ICU readmission post-CABG is a significant marker for increased mortality risk.
  • Comprehensive evaluation of comorbidities, intraoperative factors, and postoperative complications is essential for identifying at-risk patients.
Abstract

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