Open AccessEarly prediction of severity in acute ischemic stroke and transient ischemic attack using platelet parameters and neutrophil‐to‐lymphocyte ratio
Author(s) -
Lim HyeonHo,
Jeong InHwa,
An GyuDae,
Woo KwangSook,
Kim KyeongHee,
Kim JeongMan,
Cha JaeKwan,
Han JinYeong
Publication year - 2019
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.22714
Subject(s) - medicine , mean platelet volume , receiver operating characteristic , neutrophil to lymphocyte ratio , modified rankin scale , platelet , ischemic stroke , stroke (engine) , lymphocyte , cardiology , gastroenterology , ischemia , mechanical engineering , engineering
Background It is still not easy to predict severity promptly in patients with acute ischemic stroke (AIS) and transient ischemic attack (TIA). We investigated that platelet parameters or combinations of them could be a useful tool for early prediction of severity of AIS and TIA at admission and after 3 months. Methods We prospectively recruited 104 patients newly diagnosed with AIS and TIA. We investigated their neutrophil‐to‐lymphocyte ratio (NLR) and platelet parameters. According to the Modified Rankin Scale scores, the patients were divided into two groups. Results In receiver operating characteristic (ROC) curve analyses, mean platelet volume (MPV), NLR/platelet count (PLT), MPV/PLT, MPV*NLR, and MPV*NLR/PLT showed statistically significant results in both at admission and after 3 months. Values of area under ROC curves for those tests at admission were 0.646, 0.697, 0.664, 0.708, and 0.722, respectively. Also, values after 3 months were 0.591, 0.661, 0.638, 0.662, and 0.689, respectively. Conclusion MPV*NLR/PLT could be used as a relatively good tool for predicting severity at the time of admission and after 3 months than other parameters or combinations of them. Further studies have to be carried out to investigate the best parameter for predicting the severity of AIS and TIA.