Research Article The Effectiveness of Neutrophil-Lymphocyte Ratio in Predicting in-Hospital Mortality in Non-ST-Elevation Myocardial Infarction Beg¨ um S ¸eyda Avci, 1 Akkan Avci , 2 Yurdaer D¨ onmez, 3 Adem Kaya, 2 M¨ uge G¨ ulen , 2 Ali ˙ Ilker ¨ Ozer, 2 Atilla Bulut, 3 Mevl¨ ut Koç, 3 Hakan Nazik , 4 and Salim Satar 2 1 Health Science University, Adana City Research and Training Hospital, Department of Internal Medicine, Adana, Turkey 2 Health Science University, Adana City Research and Training Hospital, Department of Emergency Medicine, Adana, Turkey 3 Health Science University, Adana City Research and Training Hospital, Department of Cardiology, Adana, Turkey 4 Science Health University, Adana City Research and Traning Hospital, Department of Gynecology, Adana, Turkey Correspondence should be addressed to Akkan Avci; drakkanavci@gmail.com Received 20 September 2019; Revised 27 January 2020; Accepted 4 February 2020; Published 9 March 2020 Academic Editor: Chak W. Kam Copyright © 2020 Beg¨ um S ¸eyda Avci et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Myocardial infarction is the most common cause of death all over the world. ere are many studies in predicting mortality. e aim of this study was to determine the effectiveness of hematologic parameters measured at the moment of admission to the emergency room in predicting in-hospital mortality and to determine cutoff values of strongly predictive values. Methods. A total of 681 patients over 18 years of age, whose date could be obtained, were included in the study. From the hemogram parameters, white blood cells (WBC), red cell distribution width (RDW), mean platelet volume (MPV), and neu- trophils-to-lymphocytes ratio (NLR) values were determined and recorded. CK-MB and high-sensitive troponin T values were recorded as cardiac markers. For statistical analysis, “SPSS for Windows version 21” package program was used. Results. 62.6% (n = 426) of the patients were male, and 37.4% (n = 255) of the patients were female. e NLR was found to be the strongest predictor (area under the curve (AUC), 0.783, SD = 0.052, 95% confidence interval (CI)). It was found that the WBC value came in the second place after NLR as a strong predictor of mortality (AUC, 0.702, SD = 0.075, 95% CI). Conclusion. According to the hemogram results which were acquired with a simple and cheap method, we found that WBC and especially NLR values obtained with a simple method can be used as powerful predictors. 1. Introduction Cardiovascular diseases are some of the most important causes of mortality and morbidity in society. ese diseases may present as stable coronary artery disease (CAD) or acute coronary syndromes. Non-ST-elevation myocardial infarction (NSTEMI) is a presentation in the acute coro- nary syndrome spectrum and accounts for 61% of myo- cardial infarction [1]. Although NSTEMI has lower in- hospital mortality compared to ST-elevation myocardial infarction (STEMI), the 4-year mortality is 2 times higher than that of STEMI patients [2]. For this reason, careful risk management and clinical follow-up of these patients from the moment the diagnosis of NSTEMI is made in the emergency room will reduce the risk of developing adverse events. Acute coronary syndromes are triggered by the rupture of atherosclerotic plaques in the coronary arteries. e occurring situation starts a thrombotic process. When the artery lumen is partially obstructed, unstable angina or NSTEMI appears, while the artery lumen is completely blocked, STEMI appears. e relationship between acute myocardial infarction (AMI) and inflammation has been expressed in various epidemio- logical and clinical investigations [3–6]. Among different hematological markers, the ratio of neutrophils to lymphocytes (NLR) is claimed to have the highest value in predicting death in high-risk patients in terms of coronary artery disease [7]. Increased white cell counts play a role in the Hindawi Emergency Medicine International Volume 2020, Article ID 8718304, 5 pages https://doi.org/10.1155/2020/8718304