Association of Novel Hematological Indices with Severity of Coronary Artery Disease using SYNTAX Score in Patients with Acute Coronary Syndrome.

Recent evidence suggests that systemic inflammation not only plays an important role in the pathogenesis of Acute Coronary Syndrome but also correlates with disease severity. Monocyte-to-high-density lipoprotein cholesterol ratio (MHR), Neutrophil-Lymphocyte Ratio (NLR), and Monocyte-Lymphocyte Ratio (MLR) are novel systemic inflammation markers used for predicting the burden of coronary artery disease (CAD) based on SYNTAX Score. This single-center, cross-sectional, observational study compared the association of these novel hematological indices with CAD severity using the SYNTAX Score in ACS patients and aimed to determine the best predictor of the severity of CAD. A total of 403 consecutive patients with ACS who underwent coronary angiography were enrolled. On the basis of the SYNTAX Score, patients were divided into three groups: Low: <22, Moderate 22 - 32 and High ≥ 32. MHR, MLR, and NLR were calculated and correlated with SYNTAX Score. All three indices: MHR (r=0.511; p <0.001), MLR (r=0.373; p <0.001), and NLR (r=0.292; p =0.001) showed significant correlation with SYNTAX Score. The MHR ROC was significantly higher than that of MLR (difference between area: 0.158; 95% CI: 0.079-0.259) and NLR (difference between area: 0.279; 95% CI: 0.172-0.419) for the SYNTAX Score. Analysis showed a strong correlation between these indices with SYNTAX Score >22 compared to low scores <22 and that these also related to the LAD as an infarct artery. Multiple regression analysis showed that diabetes mellitus, eGFR, Infarct-related artery left anterior descending (IRALAD), MHR, MLR, and NLR were predictors of the severity of CAD in ACS patients based on SYNTAX Score. In ACS patients MHR, MLR, and NLR showed significant correlation with SYNTAX score >22 which may be indicative of severity of disease. MHR is a better predictor of the severity of CAD than MLR and NLR in ACS patients.

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