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

Jane M. Reid | Zendy; Gord Gubitz | Zendy; Dingwei Dai | Zendy; David M. Kydd | Zendy; Gail A. Eskes | Zendy; Yvette Reidy | Zendy; Christine Christian | Zendy; Carl Counsell | Zendy; Martin Dennis | Zendy; Steve Phillips | Zendy

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

Author(s) -

Jane M. Reid,

Gord Gubitz,

Dingwei Dai,

David M. Kydd,

Gail A. Eskes,

Yvette Reidy,

Christine Christian,

Carl Counsell,

Martin Dennis,

Steve Phillips

Publication year - 2010

Publication title -

age and ageing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.014

H-Index - 143

eISSN - 1468-2834

pISSN - 0002-0729

DOI - 10.1093/ageing/afq027

Subject(s) - medicine , logistic regression , modified rankin scale , stroke (engine) , glasgow coma scale , receiver operating characteristic , radiological weapon , multivariate analysis , multivariate statistics , outcome (game theory) , physical therapy , surgery , statistics , ischemic stroke , mathematics , mechanical engineering , ischemia , mathematical economics , engineering

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.

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