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eosinopenia is a predictive factor for the severity of acute ischemic stroke

Neural Regeneration Research 2019年第10期14卷 1772-1779页

作者： Hui-Min Zhao Wen-Qian Qin Pei-Ji Wang Zhong-Min Wen Department of Neurology the Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu ProvinceChina Department of Orthopedics the Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu ProvinceChina

Previous data have revealed an association between eosinopenia and mortality of acute ischemic stroke.However,the relationship of eosinopenia with infarct volume,infection rate,and poor outcome of acute ischemic stroke is still unknown.The retrospective study included 421 patients(273 males,65%;mean age,68.0± 13.0 years)with first acute ischemic stroke who were hospitalized in the Second Affiliated Hospital of Soochow University,China,from January 2017 to February 2018.Laboratory data,neuroimaging results,and modified Rankin Scale scores were collected.Patients were divided into four groups according to their eosinophil percentage level(eosinopenia predicted a large infarct volume more accurately than neutrophilia;the area under curve was 0.906 and 0.876,respectively;a large infarct was considered as that with a diameter larger than 3 cm and involving more than two major arterial blood supply areas.Logistic regression analysis revealed that eosinophil percentage was an independent risk factor for acute ischemic stroke(P=0.002).Moreover,eosinophil percentage was significantly associated with large infarct volume,high infection rate(pulmonary and urinary tract infections),and poor outcome(modified Rankin Scale score>3)after adjusting for potential confounding factors(P-trendeosinopenia has the potential to predict the severity of acute ischemic stroke.This study was approved by the Ethics Committee of the Second Affiliated Hospital of Soochow University,China(approval number:K10)on November 10,2015.

关键词： nerve regeneration eosinopenia eosinophil ischemia stroke infarct volume infection clinical outcome neutrophilia risk factors predictive factor neural regeneration

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