Literature DB >> 23164824

Inter-rater reliability of the A-S-C-O classification system for ischemic stroke.

Ning Chen1, Muke Zhou, Yucai Wang, Hui Wang, Mi Yang, Jian Guo, Xue Yang, Hongbo Zheng, Dong Zhou, Li He.   

Abstract

Atherosclerosis-small vessel disease-cardiac source-other (A-S-C-O) is a new phenotypic system that categorizes stroke according to a combination of etiologic characteristics. The purpose of this study was to establish the inter-rater reliability of ischemic stroke subtyping by applying A-S-C-O criteria to retrospectively reviewed medical records. A total of 419 patients with acute ischemic stroke were classified according to A-S-C-O criteria by two stroke neurologists independently. Inter-rater reliability was assessed by means of the κ statistic. The neurologists agreed on A-S-C-O subtype diagnosis for only 190 of the 419 patients (45.3%). The κ statistics for four stroke phenotypes were: (i) atherosclerosis, 0.786; (ii) small vessel disease, 0.798; (iii) cardiac source, 0.870; and (iv) other causes, 0.860. All p values were <0.001. Ischemic stroke can be reliably described with regard to four etiologic categories using the A-S-C-O system based on a review of medical records, whereas the overall agreement for stroke subtype diagnosis was only moderate.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23164824     DOI: 10.1016/j.jocn.2012.01.059

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  3 in total

Review 1.  Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion.

Authors:  Arnold Markus; Schütz Valerie; Katan Mira
Journal:  Front Neurol       Date:  2021-02-25       Impact factor: 4.003

2.  Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports.

Authors:  Lu Qin; Xiaowei Xu; Lingling Ding; Zixiao Li; Jiao Li
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-09       Impact factor: 2.796

3.  Stroke aetiological classification reliability and effect on trial sample size: systematic review, meta-analysis and statistical modelling.

Authors:  Azmil H Abdul-Rahim; David Alexander Dickie; Johann R Selvarajah; Kennedy R Lees; Terence J Quinn
Journal:  Trials       Date:  2019-02-08       Impact factor: 2.279

  3 in total

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