Systemic Immune-Inflammation Index Predicts Poor Outcome After Elective Off-Pump CABG: A Retrospective, Single-Center

Souvik Dey1, Ramesh Kashav1, Jasvinder Kaur Kohli1

  • 1Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi, India.

Insights

The Systemic Immune-Inflammation Index (SII) effectively predicts poor short-term outcomes in patients undergoing off-pump coronary artery bypass grafting (OPCABG). Higher SII levels correlate with increased complications and longer recovery times after OPCABG surgery.

Area of Science:

  • Cardiovascular Surgery
  • Inflammatory Biomarkers
  • Surgical Risk Prediction

Background:

  • Off-pump coronary artery bypass grafting (OPCABG) is a complex procedure.
  • Identifying patients at high risk for adverse outcomes is crucial for optimizing surgical care.
  • Preoperative hematologic indices are increasingly recognized as potential predictors of surgical outcomes.

Purpose of the Study:

  • To evaluate the predictive value of preoperative hematologic indices, specifically the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and Systemic Immune-Inflammation Index (SII), for short-term outcomes following OPCABG.
  • To determine if SII can serve as an independent predictor of poor outcomes after OPCABG.

Main Methods:

  • A retrospective, single-center study involving 1,007 patients undergoing elective OPCABG.
  • Analysis of preoperative hematologic indices including NLR, PLR, and SII.
  • Multivariate logistic regression was used to identify independent predictors of poor postoperative outcomes.

Main Results:

  • 20.4% of patients experienced poor postoperative outcomes.
  • Preoperative SII was identified as an independent predictor of poor outcomes after OPCABG.
  • An SII cutoff of 878.06 × 10^3/mm^3 demonstrated high sensitivity (97.6%) and specificity (91%) in predicting adverse events.
  • Higher SII values correlated significantly with longer mechanical ventilation duration and intensive care unit stay.

Conclusions:

  • The Systemic Immune-Inflammation Index (SII) is a valuable, parsimonious, and reproducible biomarker for predicting short-term adverse outcomes in patients undergoing OPCABG.
  • SII integrates inflammatory and thrombotic components, offering a comprehensive assessment of patient vulnerability.
  • The findings suggest that SII can aid in identifying patients at higher risk for complications, enabling tailored perioperative management.
Abstract