The Effectiveness of Neutrophil-Lymphocyte Ratio in Predicting in-Hospital Mortality in Non-ST-Elevation Myocardial Infarction

Begüm Şeyda Avci; Akkan Avci; Yurdaer Dönmez; Adem Kaya; Müge Gülen; Ali İlker Özer; Atilla Bulut; Mevlüt Koç; Hakan Nazik; Salim Satar

doi:10.1155/2020/8718304

The Effectiveness of Neutrophil-Lymphocyte Ratio in Predicting in-Hospital Mortality in Non-ST-Elevation Myocardial Infarction

Emerg Med Int. 2020 Mar 9:2020:8718304. doi: 10.1155/2020/8718304. eCollection 2020.

Authors

Affiliations

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.

Abstract

Background: Myocardial infarction is the most common cause of death all over the world. There are many studies in predicting mortality. The 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 neutrophils-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 = 426) of the patients were male, and 37.4% (.

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.