OP-179 Relationship Between Myocardial Perfusion Scintigraphy Findings and Neutrophil Lymphocyte Ratio

Abstract

A Relationship Between Myocardial Perfusion Scintigraphy Findings and Neutrophil Lymphocyte Ratio. Ayse Nurdan Korkmaz, Billur Caliskan, Fatma Erdem, Betul Kizildag, Gulzade Ozyalvacli, Serkan Ozturk. Department of Nuclear Medicine, Abant Izzet Baysal University, Bolu, Turkey; Department of Cardiology, Abant Izzet Baysal University, Bolu, Turkey; Department of Radiology, Abant Izzet Baysal University, Bolu, Turkey; Department of Pathology, Abant Izzet Baysal University, Bolu, Turkey. B S T R A C T S Objective: The neutrophil lymphocyte ratio (NLR) is a new predictor for cardiovascular risk and mortality. We investigate association between myocardial perfusion imaging findings that has been validated as a powerful prognostic tool for predicting adverse cardiovascular outcomes and neutrophil lymphocyte ratio. Methods: Total 558 patients were included in our study. Patients were divided into groups according to the MPI findings and coronary angiography (CAG) results. Their hematologic and biochemical data were obtained. Neutrophil lymphocyte ratio was calculated. Relationship between patients groups and NLR were statistically analyzed. Results: NLR were statistically higher in ischemia group were detected in MPI, than patients had normal MPI value (2.52 1.62; 2.13 1.07, respectively). Therefore, NLR was similar in between patients had both CAG positive and ischemic MPI. Also, NLR was similar for both patients had normal MPI and CAG negative. NLR was detected as an independent predictor for coronary artery disease by logistic regression analysis (p1⁄40.005, OR1⁄4 1.29, 95%CI 1.082-1.539). At a value of 1.90, NLR has a sensitivity of 67% and a specificity of 52% for a diagnosis of CAD (p1⁄40.001, AUROC: 0.611, 95%CI 0.542-0.680) (Fig. 1). Conclusions: As mentioned previous articles, NLR is an independent predictor for coronary artery disease. This novel index is a beneficial identifier to interpret MPI in terms of increasing diagnostic accuracy.