Predictive values of inflammatory cell ratios for complexity of coronary artery disease in patients with acute coronary syndrome

Abstract

Background: The aim of this study was to investigate the relationship between neutrophil to lymphocyte ratio (NLR) platelet to lymphocyte ratio (PLR), mean platelet volume to lymphocyte ratio (MPVLR), MPV to platelet ratio (MPVPR) and the complexity of coronary artery disease (CCAD) in patients with acute coronary syndrome (ACS) using the SYNTAX score (SS) algorithm. Materials and Methods: A total of 599 patients with ACS undergoing coronary arteriography were enrolled and divided into three groups according to their SS: low SS group ≤22 (low-SSG,); intermediate SSG ≥23 and ≤32 (in-SSG,); and high- SSG ≥33 (high-SSG). Routine complete blood count parameters were analyzed at hospital admission. Results: There were significant differences between three groups in terms of PLR and MPVLR values (P = 0.007 and P = 0.029). Correlation analysis showed that PLR and MPVLR were positively correlated with CCAD (r = 0.095, P = 0.018 and r = 0.112, P = 0.005, respectively). In multivariate logistic regression analysis, MPVLR was not an independent predictor of CCAD, whereas PLR was found to be a weak independent predictor of CCAD (odds ratio = 1.003 [1.001–1.006], P = 0.021). Receiver operating characteristics analysis showed that PRL had low sensitivity (56.2%) and specificity (51.6%) for prediction of CCAD. Conclusion: Our study showed that NLR, MPVPR, and MPVLR were not independent predictors of CCAD in patients with ACS. PLR had such a weak relationship with CCAD that it could not be used for prediction of CCAD in these patients.

Keywords

• Acute coronary syndrome
• complexity of coronary artery diseases
• inflammatory cell ratios