Neutrophil to Lymphocyte Ratio in Acute Ischemic Stroke

Lashin, Menat-Allah Mohamed and Khalil, Salma Hamed and Alloush, Taha Kamel and Anis, Sherif and Fouad, Mohamed Mahmoud (2020) Neutrophil to Lymphocyte Ratio in Acute Ischemic Stroke. Neuroscience and Medicine, 11 (02). pp. 52-62. ISSN 2158-2912

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Abstract

Introduction: The neutrophil to lymphocyte ratio (NLR) can be used as a marker of subclinical inflammation, and may have a predictive power in prognosis and severity of atherosclerosis-related diseases. This study aimed to assess an association between the NLR, and clinical characteristics and one-month outcome in acute ischemic stroke (AIS). Subjects and Methods: This case-control observational prospective study included 75 patients admitted to stroke unit of Ain Shams University hospitals with AIS, sub grouped into 3 equal groups according to subtype of AIS, in addition to 25 healthy individuals. The demographic characteristics of the patients, complete blood picture test results at presentation, National Institutes of Health Stroke Scale (NIHSS) scores and modified Rankin Scale (mRS) scores were recorded. The clinical outcome was assessed by the NIHSS and mRS scores after one month. Results: The total leucocyte count was significantly higher in large artery atherosclerosis (P = 0.004) and cardioembolic (P = 0.020) stroke groups, unlike lacunar stroke group (P = 0.082), when compared to controls. The neutrophils count was higher (P < 0.001) and the lymphocyte count was lower (P < 0.001) among all the stroke groups compared to the control group. The NLR was higher among all the stroke groups compared to the control group (P < 0.001). The NLR at cutoff value more than 1.34 had predicted stroke with a sensitivity of 89.33% and specificity of 72% and accuracy reached 88.6%. There was non-significant association between NLR and each of NIHSS and mRS after one month from onset of AIS. Conclusion: NLR was significantly higher among AIS subtypes compared to controls, but not a good predictor for one month outcome.

Item Type: Article
Subjects: Librbary Digital > Medical Science
Depositing User: Unnamed user with email support@librbarydigit.com
Date Deposited: 17 Jan 2023 12:06
Last Modified: 24 May 2024 06:55
URI: http://info.openarchivelibrary.com/id/eprint/53

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