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Ischaemic stroke etiological classification system: The agreement analysis of CISS, SPARKLE and TOAST

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机构: [1]Department of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China [2]Department of Neurology, Beijing Tiantan Hospital, Beijing, China [3]Department of Neurology, First People's Hospital of Shangqiu, Shangqiu, China [4]Department of Neurology, First People's Hospital of Pingdingshan City, Pingdingshan, China
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关键词: classification system etiology ischemic stroke

摘要:
Background and purpose: The ideal stroke classification system needs to have validity, high reliability and applicability among different stroke research settings. The Chinese Ischemic Stroke Subclassification (CISS) and the Subtypes of Ischemic Stroke Classification System (SPARKLE) have emerged recently but have not been tested using agreement analysis. As a result, the objective of this study is to investigate the level of agreement among stroke subtype classifications using CISS, SPARKLE and Trial of Org 10172 in Acute Stroke Treatment (TOAST). We also analyse the inter-rater reliability of CISS. Methods: The data include 623 inpatients who have had an ischaemic stroke, accrued from Beijing Tiantan Hospital between 1 October 2015 and 19 April 2016. According to the diagnostic standards of the three subtype classification systems, 299 inpatients who satisfied the requirements of our study were independently classified with etiological subtypes, and we compared the three subclassifications. Results: There was substantial overall agreement among the three classification systems: CISS versus SPARKLE (kappa value=0.684, p<0.001), CISS versus TOAST (kappa value=0.615, p<0.001) and SPARKLE versus TOAST (kappa value=0.675, p<0.001). The inter-rater reliability of CISS was excellent (kappa value=0.857, p<0.001). Furthermore, among the three subtype classification systems, the variance analysis results of the etiological subtypes were not uniform. Conclusion: There were generally substantial agreements among three ischaemic stroke etiological classification systems. CISS is a valid and reliable classification system, with which different stroke research centres can apply and compare data. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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大类 | 1 区 医学
小类 | 2 区 临床神经病学
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最新[2023]版:
Q1 CLINICAL NEUROLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版]

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第一作者机构: [1]Department of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China [2]Department of Neurology, Beijing Tiantan Hospital, Beijing, China
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通讯机构: [2]Department of Neurology, Beijing Tiantan Hospital, Beijing, China
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