Predicting functional outcome after stroke by modelling baseline clinical and CT variables

John Reid, Gord J Gubitz, Dingwei Dai, David Kydd, Gail Eskes, Yvette Reidy, Christine Christian, Carl Edward Counsell, Martin Dennis, Stephen James Phillips

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

BACKGROUND: we aimed to assess whether the performance of stroke outcome models comprising simple clinical variables could be improved by the addition of more complex clinical variables and information from the first computed tomography (CT) scan. METHODS: 538 consecutive acute ischaemic and haemorrhagic stroke patients were enrolled in a Stroke Outcome Study between 2001 and 2002. Independent survival (modified Rankin scale
Original languageEnglish
Pages (from-to)360-366
Number of pages7
JournalAge and Ageing
Volume39
Issue number3
Early online date15 Mar 2010
DOIs
Publication statusPublished - May 2010

Keywords

  • acute stroke
  • elderly
  • outcomes
  • prognosis

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  • Cite this

    Reid, J., Gubitz, G. J., Dai, D., Kydd, D., Eskes, G., Reidy, Y., Christian, C., Counsell, C. E., Dennis, M., & Phillips, S. J. (2010). Predicting functional outcome after stroke by modelling baseline clinical and CT variables. Age and Ageing, 39(3), 360-366. https://doi.org/10.1093/ageing/afq027