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Echocardiographic epicardial fat thickness and immature granulocyte are novel inflammatory predictors of acute ischemic stroke: a prospective study

ABSTRACT BACKGROUND: Acute ischemic stroke (AIS) is the most common type of stroke. Inflammation is the primary factor in the pathogenesis of atherosclerosis. Use of immature granulocytes (IGs) has been recommended as a new indicator of systemic inflammation. However, data on the association between...

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Bibliographic Details
Published in:São Paulo medical journal 2022
Main Authors: Korkut, Mustafa, Selvi, Fatih, Bedel, Cihan
Format: Article
Language:Portuguese
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Summary:ABSTRACT BACKGROUND: Acute ischemic stroke (AIS) is the most common type of stroke. Inflammation is the primary factor in the pathogenesis of atherosclerosis. Use of immature granulocytes (IGs) has been recommended as a new indicator of systemic inflammation. However, data on the association between echocardiographic epicardial fat tissue thickness (EFT) and IGs in patients with AIS are limited. OBJECTIVE: To evaluate the association between the presences of IGs, epicardial fat tissue and AIS. DESIGN AND SETTING: Prospective study in a tertiary-care university hospital in Antalya, Turkey. METHODS: Our study included 53 AIS patients and 41 healthy controls with age and gender compatibility. Blood samples and transthoracic echocardiography of all participants were compared. RESULTS: IG levels were significantly higher in patients with AIS than in controls (0.62 ± 0.36 versus 0.28 ± 0.02, P < 0.001). The mean EFT was 3.74 ± 0.61 mm in the control group and 6.33 ± 1.47 mm in the AIS patient group. EFT was significantly greater in AIS patients than in controls (P < 0.001). For the optimum cut-off value for IG (0.95), the area under the curve (AUC) was determined to be 0.840; sensitivity was determined to be 81.1% and specificity, 92.5%. For the optimum cut-off value for EFT (4.95 mm), the AUC was determined to be 0.953; sensitivity was determined to be 90.6% and specificity, 90%. CONCLUSIONS: IG and echocardiographic EFT are clinical markers that can be used to predict AIS risk.
ISSN:1806-9460
DOI:10.1590/1516-3180.2021.0461.r1.16082021