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The Predictive Value of Potential Hematological Biomarkers in Acute Coronary Syndrome by Chengxin Zhang, Haiyuan Liu, Huiping Wang, Qianshan Tao, Xianhe Lin, Shenglin Ge, Zhimin Zhai

Background: To explore the predictive value of potential hematological biomarkers in acute coronary syndrome (ACS).
Methods: A total of 309 patients suffering ACS from June 2014 to June 2016 in The First Affiliated Hospital of Anhui Medical University were enrolled. The clinical data was studied retrospectively. All patients were divided into 3 groups based on the presence of elevated ST-segment including UA (150), STEMI (159), and NSTEMI (100). The association between potential hematological biomarkers of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), white blood cell count (WBC), monocyte percentage (MO), and platelet width (PLW) and outcome of ACS including cTnI, occlusion of coronary artery, emergent PCI, and 30-day mortality was performed.
Results: Mean ± standard deviation was used to describe quantitative data of normal distribution. Inter-group comparison was performed by t or chi-square test and non-parametric test. M (P25, P75) was used to describe quantitative data of skewed distribution. Non-parametric tests revealed, except for PLW, there was significance between NLR, PLR, MO, and WBC and emergent PCI as well as 30-day mortality (p < 0.05). Multivariate logistic regression revealed that NLR was the best predictive factor of 30-day mortality. Meanwhile, it was found that the association between NLR, PLR, WBC, and cTnI was significant (p < 0.05).
Conclusions: NLR is a useful and available factor in predicting outcome of ACS and more significant when combined with PLR, MO, and WBC.

DOI: 10.7754/Clin.Lab.2019.181232