Skip to content
akaturk Academic measurement

Article detail · 2023 · article

Immature Granulocyte and Other Markers in Prediction of the Short-term and Long-term Prognosis of Patients with Acute Ischemic Stroke

Journal Neurology Asia
ISSN1823-6138
YÖKSİS OpenAlex Open access · bronze SJR Q4 JCR Q4
Year2023
Citations0OpenAlex
Percentile%27.1
FWCI0.01.00 = world average
Scopus (SJR)Q4
WoS (JCR)Q4

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueNEUROLOGY ASIA
  • Catalog match (ISSN)Neurology Asia
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex English

Background & Objectives: To evaluate immature granulocytes, a new inflammatory biomarker, and other markers in short- and long-term prognosis in patients with acute ischemic stroke (AIS). Methods: Laboratory information system data from a tertiary hospital in Turkiye were used in this retrospective study. Of the 327 patients with the diagnosis of AIS, 275 recovered, and 52 died. It was determined that 31 of these 275 patients, who were followed up retrospectively, died within 12 months after discharge. Routinely measured immature granulocyte (IG), other hemogram parameters in the Sysmex XN 1000 (XN-1000-Hematology-Analyzer-Sysmex Corporation, Japan), and demographic data were statistically compared in both groups. We tried to estimate the short- and long-term mortality from the blood samples of these patients at their first admission to the hospital. Results: Of the patients included in the study, 150 (45.9%) were female, and 177 (54.1%) were male. National Institutes Of Health Stroke Scale (NIHSS) (AUC=960), length of stay (AUC=791), red blood cell distribution width – standard deviation (RDW-CV) (AUC=728), and IG (AUC=712) were the most effective parameters in predicting short-term mortality, while age (AUC=764) in predicting long-term mortality was the most effective parameters. Conclusion: IG, together with NIHSS and length of stay, shows moderate and high predictive properties in prognosticating short-term mortality but is ineffective in prognosticating long-term mortality. Age was found to be the most predictive marker for long-term mortality.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

0citationsOpenAlex · cited_by_count (cache / database)

Authors

2
  1. İDRİS KOCATÜRK KASTAMONU ÜNİVERSİTESİ 1
  2. SEDAT GÜLTEN 2