Literature DB >> 17895110

Prediction of infarct topography using the Oxfordshire Community Stroke Project classification of stroke subtypes.

A R Al-Buhairi1, S J Phillips, G Llewellyn, M M Jan.   

Abstract

BACKGROUND: The Oxfordshire Community Stroke Project clinical classification of ischemic stroke syndromes has been shown to be predictive of important clinical outcomes. In this study, we examined the correlation between this classification system and infarct topography on computed tomography (CT) of the brain.
METHOD: A cohort of consecutive cases of acute ischemic stroke admitted to an acute stroke service during the 3-year period ending December 31, 1996 were identified from a prospective stroke registry. Brain scans were reviewed by a single neuroradiologist without knowledge of the clinical features.
RESULTS: There were 418 patients with acute ischemic stroke who met the study admission criteria. Forty patients were excluded, 20 (5%) did not have a CT scan during the admission, and 20 scans were not available for review. In 239 of 378 patients (63%), the brain scan revealed the lesion responsible for the clinical syndrome. In patients with positive scans, the positive predictive values of the clinical subtypes were: 86% (95% confidence interval, 78-94) for the total anterior territory stroke syndrome, 96% (92-100) for the partial anterior territory stroke syndrome, 99% (97-100) for the lacunar stroke syndrome, and 100% for the posterior circulation stroke syndrome.
CONCLUSION: The Oxfordshire Community Stroke Project classification of ischemic stroke syndromes usefully predicts infarct topography on CT scan.

Entities:  

Year:  1998        PMID: 17895110     DOI: 10.1016/s1052-3057(98)80052-9

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  10 in total

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Authors:  R Davenport; M Dennis
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2.  How well does the Oxfordshire community stroke project classification predict the site and size of the infarct on brain imaging?

Authors:  G E Mead; S C Lewis; J M Wardlaw; M S Dennis; C P Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-05       Impact factor: 10.154

3.  Oxfordshire Community Stroke Project Classification: A proposed automated algorithm.

Authors:  Joao Brainer Clares de Andrade; Jay P Mohr; Felipe Brito Timbó; Camila Rodrigues Nepomuceno; João Vitor da Silva Moreira; Isabelle da Costa Goes Timbó; Fabricio Oliveira Lima; Gisele Sampaio Silva; John Bamford
Journal:  Eur Stroke J       Date:  2021-06-18

4.  Clinical diagnosis of lacunar stroke in the first 6 hours after symptom onset: analysis of data from the glycine antagonist in neuroprotection (GAIN) Americas trial.

Authors:  Stephen J Phillips; Dingwei Dai; Arnold Mitnitski; Gordon J Gubitz; Karen C Johnston; Walter J Koroshetz; Karen L Furie; Sandra Black; Darell E Heiselman
Journal:  Stroke       Date:  2007-08-23       Impact factor: 7.914

5.  Description and evaluation of an acute stroke unit.

Authors:  Stephen J Phillips; Gail A Eskes; Gordon J Gubitz
Journal:  CMAJ       Date:  2002-09-17       Impact factor: 8.262

6.  Associations of clinical stroke misclassification ('clinical-imaging dissociation') in acute ischemic stroke.

Authors:  Gillian Potter; Fergus Doubal; Caroline Jackson; Cathie Sudlow; Martin Dennis; Joanna Wardlaw
Journal:  Cerebrovasc Dis       Date:  2010-02-19       Impact factor: 2.762

7.  The Oxfordshire Community Stroke Project classification system predicts clinical outcomes following intravenous thrombolysis: a prospective cohort study.

Authors:  Yuling Yang; Anxin Wang; Xingquan Zhao; Chunxue Wang; Liping Liu; Huaguang Zheng; Yongjun Wang; Yibin Cao; Yilong Wang
Journal:  Ther Clin Risk Manag       Date:  2016-06-29       Impact factor: 2.423

8.  Long-term mortality and recurrent vascular events in lacunar versus non-lacunar ischaemic stroke: A cohort study.

Authors:  Suzanne Portegijs; Ariel Y Ong; Nynke Halbesma; Aidan Hutchison; Cathie Lm Sudlow; Caroline A Jackson
Journal:  Eur Stroke J       Date:  2021-12-30

9.  Motor outcomes of patients with a complete middle cerebral artery territory infarct.

Authors:  Sung Ho Jang; Min Cheol Chang
Journal:  Neural Regen Res       Date:  2013-07-15       Impact factor: 5.135

10.  CT angiography and CT perfusion improve prediction of infarct volume in patients with anterior circulation stroke.

Authors:  Tom van Seeters; Geert Jan Biessels; L Jaap Kappelle; Irene C van der Schaaf; Jan Willem Dankbaar; Alexander D Horsch; Joris M Niesten; Merel J A Luitse; Charles B L M Majoie; Jan Albert Vos; Wouter J Schonewille; Marianne A A van Walderveen; Marieke J H Wermer; Lucien E M Duijm; Koos Keizer; Joseph C J Bot; Marieke C Visser; Aad van der Lugt; Diederik W J Dippel; F Oskar H W Kesselring; Jeannette Hofmeijer; Geert J Lycklama À Nijeholt; Jelis Boiten; Willem Jan van Rooij; Paul L M de Kort; Yvo B W E M Roos; Frederick J A Meijer; C Constantijn Pleiter; Willem P T M Mali; Yolanda van der Graaf; Birgitta K Velthuis
Journal:  Neuroradiology       Date:  2016-01-14       Impact factor: 2.804

  10 in total

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