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The Prognostic Value of Inflammatory Indices in Predicting Poor Postoperative Outcomes in Isolated Coronary Artery Bypass Graft Surgery
Background:This study aimed to analyze the predictive effect of various inflammatory indices and inflammatory biomarkers on prognosis after coronary artery bypass grafting (CABG). Methods:In this retrospective observational study, data were recorded from 99 patients who underwent isolated elective C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483436/ https://www.ncbi.nlm.nih.gov/pubmed/37692618 http://dx.doi.org/10.7759/cureus.43120 |
Sumario: | Background:This study aimed to analyze the predictive effect of various inflammatory indices and inflammatory biomarkers on prognosis after coronary artery bypass grafting (CABG). Methods:In this retrospective observational study, data were recorded from 99 patients who underwent isolated elective CABG between January 2019 and June 2021 and met the inclusion criteria. The patients were divided into two main groups according to the postoperative clinical results: “favorable outcome” and “poor outcome.” Preoperative inflammatory parameters, inflammatory indices (such as systemic inflammation index (SII), neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR)), and clinical variables were compared between the groups. Results:Poor postoperative outcomes developed in 31 (31.3%) patients. In the univariate analysis, white blood cell count (p=0.008), neutrophil count (p=0.002), SII (p=0.018), NLR (p=0.003), and dNLR (p=0.003) were found to be significant predictors for poor outcomes. In the multivariate analysis, only the presence of chronic obstructive pulmonary disease (COPD) (OR=8.765; 95% CI 1.308-58.702; p=0.025) and high creatinine levels (OR=1.049; 95% CI 1.005-1.094; p=0.027) were independent risk factors for poor outcomes. Optimal cut-off values were 603.08 (areas under the curve (AUC)=0.632, p=0.036) for SII, 2.34 (AUC=0.669, p=0.007) for NLR, and 1.76 (AUC=0.667, p=0.008) for dNLR. Conclusion:SII, NLR, dNLR, and inflammatory markers, such as white blood cell and neutrophil counts, are feasible markers for predicting poor outcomes following CABG procedures. These parameters may aid in the development of early therapeutic interventions to improve patient outcomes. |
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