A case-control study of readmission to the intensive care unit after cardiac surgery

Rimantas Benetis1, Edmundas Sirvinskas, Birute Kumpaitiene

  • 1Institute of Cardiology, Department of Cardiothoracic and Vascular Surgery, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Insights

Predictors of intensive care unit (ICU) readmission after cardiac surgery include older age, higher BMI, and non-elective procedures. Identifying high-risk patients can help reduce readmission rates and improve outcomes.

Area of Science:

  • Cardiology
  • Critical Care Medicine
  • Surgical Outcomes

Background:

  • Cardiac surgery patients face risks of intensive care unit (ICU) readmission.
  • Identifying predictors for ICU readmission is crucial for patient management and resource allocation.

Purpose of the Study:

  • To identify predictors of repeated ICU admission in patients undergoing cardiac surgery.
  • To inform strategies for reducing ICU readmission rates and associated mortality.

Main Methods:

  • Retrospective analysis of 169 patients undergoing isolated coronary artery bypass grafting (CABG).
  • Comparison of 54 patients readmitted to the ICU with 115 randomly selected control patients.
  • Logistic regression analysis to determine independent predictors of ICU readmission.

Main Results:

  • Independent predictors for ICU readmission include older age, BMI > 30 kg/m², EuroSCORE II > 3.9%, non-elective surgery, operation duration > 4 hours, bypass time > 103 min, mechanical ventilation > 530 min, and postoperative CNS disorders.
  • Patients readmitted to the ICU had significantly higher hospital mortality (17%) compared to those not readmitted (3.8%).

Conclusions:

  • Key patient groups at risk for ICU readmission after CABG include older individuals, those with higher BMI, and patients undergoing non-elective procedures or prolonged operations.
  • Postoperative central nervous system disorders are a significant predictor of ICU readmission.
  • Targeted optimization and careful discharge planning for high-risk patients may reduce ICU readmissions, mortality, and healthcare costs.
Abstract

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