MedNexus
2022年 · 第102卷第11期
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The etiology of ischemic stroke (IS) IS complex, and the prognosis caused by different etiologies IS very different. Therefore, the etiological classification of IS patients will help to take corresponding treatment and prevention measures according to their different subtypes. It usually takes more time and effort to manually type IS, so this study attempted to use an electronic health record (EHR) database to evaluate the accuracy of automatic algorithms for cardioembolic stroke (CES, referred to as cardiogenic stroke) classification.
Previous studies have found that embolic stroke of undetermined source (ESUS) accounts for 9% to 25% of all ischemic strokes (IS). Therefore, how to determine stroke subtypes and reduce the proportion of ESUS through peripheral blood and imaging biomarkers IS one of the problems to be solved urgently. The susceptibility vessel sign (SVS) refers to the effect of the gradient echo T2Black halo shown on weighted imaging, which may be associated with cardioembolic (CE). matrix metalloproteinase-9 (MMP-9), as a biomarker for the risk of blood-brain barrier disruption and hemorrhagic transformation in the acute phase of IS, IS also associated with the progression of atherosclerosis and vulnerable plaque formation. The study aimed to assess whether SVS and patient admission MMP-9 levels could help predict stroke subtypes.
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