Postoperative C-Reactive Protein/Albumin Ratio: A New Era in Predicting Mortality After Coronary Artery Bypass Grafting
Postoperative CRP/Albumin Ratio and Mortality Prediction After CABG
DOI:
https://doi.org/10.37609/srinmed.44Keywords:
Coronary artery bypass grafting, postoperative inflammation, C-reactive protein to albumin ratio, mortality prediction, systemic inflammationAbstract
Background: Coronary artery bypass grafting (CABG) is a widely performed procedure for advanced coronary artery disease. However, postoperative complications and mortality remain major concerns. Systemic inflammation and nutritional status are critical factors influencing surgical outcomes. The prognostic value of biomarkers reflecting both parameters postoperatively is not well established. The C-reactive protein to albumin ratio (CAR) has emerged as a novel marker of inflammation and nutritional status.
Aims: This study investigates the role of postoperative CAR in predicting early mortality after CABG. The impact of postoperative inflammatory response and nutritional status on patient outcomes is analyzed.
Methods: A retrospective study of 350 CABG patients was conducted. Preoperative and postoperative biochemical markers, including C-reactive protein, albumin, and CAR, were evaluated. The primary outcome was 30-day mortality. Logistic regression models assessed the independent association between postoperative CAR and mortality, adjusting for confounders.
Results: Higher postoperative CAR was significantly associated with increased mortality (p = 0.0155). Preoperative CAR showed no significant correlation with mortality (p = 0.5178), whereas postoperative levels emerged as a strong predictor. Elevated postoperative urea levels were also independently linked to mortality (p < 0.0001).
Conclusions: Postoperative CAR is an independent predictor of early mortality in CABG patients. The interplay between systemic inflammation and nutritional status plays a crucial role in postoperative outcomes. Routine postoperative CAR assessment may enable early risk stratification and improve targeted clinical management.
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