Literature DB >> 19342826

New approach to stroke subtyping: the A-S-C-O (phenotypic) classification of stroke.

P Amarenco1, J Bogousslavsky, L R Caplan, G A Donnan, M G Hennerici.   

Abstract

We now propose a new approach to stroke subtyping. The concept is to introduce a complete 'stroke phenotyping' classification (i.e. stroke etiology and the presence of all underlying diseases, divided by grade of severity) as distinguished from past classifications that subtype strokes by characterizing only the most likely cause(s) of stroke. In this phenotype-based classification, every patient is characterized by A-S-C-O: A for atherosclerosis, S for small vessel disease, C for cardiac source, O for other cause. Each of the 4 phenotypes is graded 1, 2, or 3. One for 'definitely a potential cause of the index stroke', 2 for 'causality uncertain', 3 for 'unlikely a direct cause of the index stroke (but disease is present)'. When the disease is completely absent, the grade is 0; when grading is not possible due to insufficient work-up, the grade is 9. For example, a patient with a 70% ipsilateral symptomatic stenosis, leukoaraiosis, atrial fibrillation, and platelet count of 700,000/mm(3) would be classified as A1-S3-C1-O3. The same patient with a 70% ipsilateral stenosis, no brain imaging, normal ECG, and normal cardiac imaging would be identified as A1-S9-C0-O3. By introducing the 'level of diagnostic evidence', this classification recognizes the completeness, the quality, and the timing of the evaluation to grade the underlying diseases. Diagnostic evidence is graded in levels A, B, or C: A for direct demonstration by gold-standard diagnostic tests or criteria, B for indirect evidence or less sensitive or specific tests or criteria, and C for weak evidence in the absence of specific tests or criteria. With this new way of classifying patients, no information is neglected when the diagnosis is made, treatment can be adapted to the observed phenotypes and the most likely etiology (e.g. grade 1 in 1 of the 4 A-S-C-O phenotypes), and analyses in clinical research can be based on 1 of the 4 phenotypes (e.g. for genetic analysis purpose), while clinical trials can focus on 1 or several of these 4 phenotypes (e.g. focus on patients A1-A2-A3). Copyright 2009 S. Karger AG, Basel.

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Mesh:

Year:  2009        PMID: 19342826     DOI: 10.1159/000210433

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  75 in total

1.  The Causative Classification of Stroke system: an international reliability and optimization study.

Authors:  E M Arsava; E Ballabio; T Benner; J W Cole; M P Delgado-Martinez; M Dichgans; F Fazekas; K L Furie; K Illoh; K Jood; S Kittner; A G Lindgren; J J Majersik; M J Macleod; W J Meurer; J Montaner; A A Olugbodi; A Pasdar; P Redfors; R Schmidt; P Sharma; A B Singhal; A G Sorensen; C Sudlow; V Thijs; B B Worrall; J Rosand; H Ay
Journal:  Neurology       Date:  2010-10-05       Impact factor: 9.910

2.  Etiologic stroke subtypes: updated definition and efficient workup strategies.

Authors:  Prachi Mehndiratta; Sherita Chapman Smith; Bradford B Worrall
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-01

3.  Comparison of the new ASCO classification with the TOAST classification in a population with acute ischemic stroke.

Authors:  M E Wolf; T Sauer; A Alonso; M G Hennerici
Journal:  J Neurol       Date:  2011-12-07       Impact factor: 4.849

Review 4.  Mechanisms and treatment of ischaemic stroke--insights from genetic associations.

Authors:  Hugh S Markus; Steve Bevan
Journal:  Nat Rev Neurol       Date:  2014-10-28       Impact factor: 42.937

Review 5.  Stroke in younger patients: the heart of the matter.

Authors:  P E Cotter; M Belham; P J Martin
Journal:  J Neurol       Date:  2010-07-11       Impact factor: 4.849

6.  Prediction of cardioembolic, arterial, and lacunar causes of cryptogenic stroke by gene expression and infarct location.

Authors:  Glen C Jickling; Boryana Stamova; Bradley P Ander; Xinhua Zhan; Dazhi Liu; Shara-Mae Sison; Piero Verro; Frank R Sharp
Journal:  Stroke       Date:  2012-05-24       Impact factor: 7.914

7.  MR imaging-guided intravenous thrombolysis in posterior cerebral artery stroke.

Authors:  A Förster; A Gass; R Kern; M E Wolf; M G Hennerici; K Szabo
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-02       Impact factor: 3.825

8.  Incidence of atrial fibrillation detected by implantable loop recorders in unexplained stroke.

Authors:  Paul E Cotter; Peter J Martin; Liam Ring; Elizabeth A Warburton; Mark Belham; Peter J Pugh
Journal:  Neurology       Date:  2013-03-27       Impact factor: 9.910

9.  Thrombolysis in patients with lacunar stroke is safe: an observational study.

Authors:  Martin Griebe; Elisabeth Fischer; Micha Kablau; Philipp Eisele; Marc E Wolf; Anastasios Chatzikonstantinou; Achim Gass; Michael G Hennerici; Kristina Szabo
Journal:  J Neurol       Date:  2013-12-24       Impact factor: 4.849

10.  Laminar infarcts in clinical routine: a prospective analysis in standard stroke unit patients.

Authors:  Annerose Ziegler; Jens P Dreier; Frank Bode; Uwe Malzahn; Heinrich J Audebert; Stefanie Leistner
Journal:  J Neurol       Date:  2013-05-17       Impact factor: 4.849

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