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Published in: The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 1/2021

Open Access 01-12-2021 | Stroke | Research

Role of some inflammatory biomarkers in prediction of short-term outcome in acute ischemic stroke

Authors: Yosria Abd Al Hameed AlTaweel, Rania Sanad Nageeb, Pakinam Mahmoud Metwally, Ahmed Elsayed Badawy

Published in: The Egyptian Journal of Neurology, Psychiatry and Neurosurgery | Issue 1/2021

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Abstract

Background

Several factors affect acute ischemic stroke (AIS) outcomes.

Objective

This study aimed to assess the role of the leukocyte count, neutrophil/lymphocyte ratio (NLR), and c reactive protein (CRP) as early predictors of outcome in AIS patients.

Methods

This study was conducted on 60 AIS patients. They were subjected to detailed history taking, clinical examination, brain imaging, and laboratory assessment including the CRP, white blood cell (WBC) count, absolute neutrophil count (ANC), absolute lymphocyte count (ALC), and NLR which is calculated by dividing ANC by ALC. Neurological scales were used to assess the level of consciousness by the Glasgow Coma Scale (GCS) and stroke severity by the National Institute of Health Stroke Scale (NIHSS) at the first 48 h of stroke onset as well as 1 week and 2 weeks later for the assessment of short-term functional neurological outcome.

Results

Sixty percent of the patients had unfavorable outcomes assessed by the Modified Rankin Scale (mRS). Patients with unfavorable outcomes had higher NIHSS scores. NLR was positively correlated with WBC count, ANC, and CRP. The higher WBC, NLR, and NIHSS, the unfavorable the outcome was.

Conclusion

The higher WBC, the NLR, and the level of CRP at the onset of AIS, the more severe stroke and the poorer the short-term outcome are expected.
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Metadata
Title
Role of some inflammatory biomarkers in prediction of short-term outcome in acute ischemic stroke
Authors
Yosria Abd Al Hameed AlTaweel
Rania Sanad Nageeb
Pakinam Mahmoud Metwally
Ahmed Elsayed Badawy
Publication date
01-12-2021
Publisher
Springer Berlin Heidelberg
Keywords
Stroke
Biomarkers
DOI
https://doi.org/10.1186/s41983-021-00294-4

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