Cardiometabolic index predicts postoperative atrial fibrillation after isolated CABG: ROC-based comparison with BMI

Ercan Kahraman1, Şirin Cetin2

  • 1Department of Cardiovascular Surgery, Faculty of Medicine Amasya University, Amasya, Türkiye.

PubMed

Insights

The cardiometabolic index (CMI) effectively predicts postoperative atrial fibrillation risk in patients undergoing coronary artery bypass grafting. This visceral adiposity measure shows promise for cardiac risk stratification.

Area of Science:

  • Cardiology
  • Metabolic Health
  • Surgical Risk Assessment

Background:

  • Visceral adipose tissue (VAT) activity is increasingly recognized for its role in cardiac risk stratification.
  • Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery, impacting patient outcomes.

Purpose of the Study:

  • To evaluate the predictive performance of novel visceral adiposity indices for POAF risk in patients undergoing isolated coronary artery bypass grafting (CABG).
  • To compare the discriminative abilities of various adiposity indices against established risk factors.

Main Methods:

  • Visceral adiposity indices were calculated from preoperative anthropometric and biochemical data.
  • Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) values were used to assess discriminative abilities.
  • Univariate analysis identified significant predictors of POAF.

Main Results:

  • Diabetes mellitus, high EuroSCORE II, and prolonged cardiopulmonary bypass were associated with POAF.
  • Visceral adiposity indices demonstrated significant predictive value for POAF.
  • The cardiometabolic index (CMI) was a significant predictor of POAF (OR: 4.054, p=0.010), showing comparable or superior performance to other indices like BMI and VAI.

Conclusions:

  • CMI, a composite measure of visceral adiposity and metabolic dysfunction, shows strong predictive performance for POAF risk after isolated CABG.
  • CMI may offer superior predictive capability compared to BMI and VAI, and comparable value to LAP and BRI.
  • Further validation in diverse populations and larger cohorts is needed before clinical implementation of CMI for POAF risk assessment.

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