Can immature granulocytes indicate mortality in patients with acute ischemic stroke?

Authors

  • Mustafa Korkut Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya,Turkey
  • Cihan Bedel Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya,Turkey
  • Ökkeş Zortuk Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya,Turkey
  • Fatih Selvi Department of Emergency Medicine, Health Science University, Antalya Training and Research Hospital, Antalya,Turkey

DOI:

https://doi.org/10.54029/2021fjn

Keywords:

immature granulocytes, inflammation, acute ischemic stroke

Abstract

Background & Objective: Stroke is the most common cause of permanent disability and the most important cause of mortality. Acute ischemic stroke (AIS) reveals inflammation in the ischemic brain tissue. Ischemic tissue causes proinflammatory cytokine release and aggregation of immune cells. Therefore in this study, we aimed to investigate the role of immature granulocyte (IG) in showing 30-day mortality in patients with AİS.

Methods: This study was designed as a single-centered, retrospective cohort study. Patients aged >18 years who were diagnosed with AIS in the tertiary emergency department were included in this study. Patients were divided into two groups as low (<0.6%) and high (≥0.6%) by IG values. Demographic and laboratory parameters were compared between the groups at admission to the emergency department.

Results: Our study consisted of 172 patients diagnosed with AIS, who met the inclusion criteria. The average age of the study group was 69.19 ± 14.34 years, and 94 (54.7%) of the patients were male. 98 (56.9%) patients were in the low IG group, and 74 (43.1%) of them were in the poor outcome group. IG at the cut-off value of 1.3 was shown to predict mortality in patients with AIS with 80.5% sensitivity and 93.2% specificity (area under the curve: 0.715 95% CI: 0.623-0.807, p <0.001)

Conclusion: The results of our study showed that IG is a new and simple predictor to predict 30-day prognosis in patients with AIS.

Published

2022-01-01

Issue

Section

Original Article