Predicting Readmission to Intensive Care After Cardiac Surgery Within Index Hospitalization: A Systematic Review.

Area of Science:

• Cardiology
• Critical Care Medicine
• Health Services Research

Background:

• Readmission to the cardiac intensive care unit (CICU) post-cardiac surgery poses significant challenges.
• Identifying at-risk patients can lead to improved patient outcomes and healthcare resource management.

Purpose of the Study:

• To systematically review risk factors for CICU readmission within a single hospitalization after cardiac surgery.
• To identify and evaluate clinical prediction models for CICU readmission.

Main Methods:

• Systematic review of PubMed, MEDLINE, and EMBASE databases.
• Inclusion of studies using multivariate analyses to identify independent predictors of readmission.
• Pooled analysis of readmission rates and identified risk factors across 25 studies.

Main Results:

• The pooled readmission rate was 4.9%.
• Readmitted patients experienced higher in-hospital mortality and longer hospital stays.
• Key predictors included preoperative renal failure, age >70, diabetes, COPD, low ejection fraction, surgery type/urgency, prolonged bypass/ventilation, anemia, and neurologic dysfunction.
• Respiratory and cardiac complications were primary causes for readmission.

Conclusions:

• Several clinical factors consistently predict CICU readmission.
• Existing risk prediction models have limitations, necessitating further development using larger datasets.
• Improved models are needed to accurately identify high-risk patients for targeted interventions.