Predictive Value of Preoperative Morphology Parameters in Patients Undergoing On-Pump and Off-Pump Coronary Artery

Krzysztof Greberski1,2, Jakub Batko3, Paweł Bugajski1,2

  • 1Faculty of Health Sciences, University of Medical Sciences, 60-572 Poznan, Poland.

Insights

Certain blood morphological parameters like abnormal platelet-to-lymphocyte ratio (PLR), red blood cell distribution width (RDW-SD), and neutrophil-to-lymphocyte ratio (NLR) predict mortality after coronary artery bypass grafting (CABG). Abnormal lymphocyte counts predict late mortality.

Area of Science:

  • Cardiology
  • Hematology
  • Surgical Outcomes Research

Background:

  • Coronary heart disease (CHD) is a leading global cause of mortality, particularly in individuals over 35.
  • Predicting postoperative mortality in patients undergoing Coronary Artery Bypass Grafting (CABG) is critical.
  • Biomarkers are under investigation for their prognostic value in CABG patients.

Purpose of the Study:

  • To evaluate the predictive capability of specific blood morphological parameters.
  • To assess these parameters in both standard CABG and off-pump coronary artery bypass grafting (OPCAB) procedures.

Main Methods:

  • A retrospective analysis of 520 patients undergoing CABG (404) or OPCAB (116).
  • Data collected included demographics, comorbidities, survival rates, and preoperative blood samples.
  • Inverse propensity treatment weighting was used to control for baseline confounding factors.

Main Results:

  • No significant difference in outcomes was observed between isolated CABG and OPCAB groups.
  • Abnormal red blood cell distribution width (RDW-SD), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were linked to increased mortality at one and five years.
  • Abnormal lymphocyte counts were associated with increased late mortality.

Conclusions:

  • Elevated PLR, RDW-SD, and NLR are significant predictors of both early and late mortality in patients undergoing CABG and OPCAB.
  • Abnormal lymphocyte counts specifically predict late mortality in these patient populations.
Abstract