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Predictors of 30-Day Hospital Readmission Following CABG in a Multicenter Database: A Cross-Sectional Study

Rene Augusto Gonçalves E Silva1, Gabrielle Barbosa Borgomoni2, Fabiane Letícia de Freitas2

  • 1Hospital João XXIII, Santarém, PA - Brasil.

Arquivos Brasileiros De Cardiologia
|September 11, 2024
PubMed

Insights

Hospital readmission after coronary artery bypass grafting (CABG) occurred in 4.42% of patients, primarily due to infections. Sleep apnea, cardiac arrhythmia, and intra-aortic balloon pump use were identified as key predictors of readmission.

Area of Science:

  • Cardiology
  • Surgical Outcomes
  • Healthcare Quality Improvement

Background:

  • Hospital readmission rates are key indicators for assessing and enhancing healthcare service quality and operational management.
  • Analyzing readmission patterns post-cardiac procedures is vital for patient care optimization.

Purpose of the Study:

  • To determine factors associated with hospital readmission within 30 days following coronary artery bypass grafting (CABG).

Main Methods:

  • A cross-sectional cohort study utilized the REPLICCAR II database (N=3,392) from June 2017 to June 2019.
  • 150 patients were retrospectively analyzed using univariate and multivariate logistic regression to identify readmission predictors.
  • Statistical analysis was performed using R software, with a 0.05 significance level and 95% confidence intervals.

Main Results:

  • Out of 3,392 patients, 150 (4.42%) experienced readmission within 30 days post-CABG.
  • Infections (mediastinitis, surgical wounds, sepsis) were the primary cause (52 cases, 34.66%), followed by surgical complications and pneumonia.
  • Multivariate analysis identified sleep apnea (OR: 1.117, p=0.0165), cardiac arrhythmia (OR: 1.040, p=0.0712), and intra-aortic balloon pump use (OR: 1.068, p=0.0021) as significant predictors.

Conclusions:

  • A 4.42% readmission rate was observed post-CABG, with infections being the leading cause.
  • Sleep apnea, cardiac arrhythmia, and intra-aortic balloon pump use are significant predictors of readmission.
  • The study demonstrated moderate predictive capability for readmission risk (AUC: 0.70).
Abstract

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