Predicting Clinical Outcome in Comatose Cardiac Arrest Patients Using Early Noncontrast Computed Tomography | Zendy

Ona Wu | Zendy; Leonardo M Batista | Zendy; Fabrício Oliveira Lima | Zendy; Márk Vangel | Zendy; Karen L. Furie | Zendy; David M. Greer | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Predicting Clinical Outcome in Comatose Cardiac Arrest Patients Using Early Noncontrast Computed Tomography

Author(s) -

Ona Wu,

Leonardo M Batista,

Fabrício Oliveira Lima,

Márk Vangel,

Karen L. Furie,

David M. Greer

Publication year - 2011

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.110.594879

Subject(s) - medicine , glasgow coma scale , logistic regression , modified rankin scale , coma (optics) , predictive value of tests , univariate analysis , midline shift , nuclear medicine , cardiology , radiology , anesthesia , multivariate analysis , computed tomography , ischemia , ischemic stroke , physics , optics

Early assessment of the likelihood of neurological recovery in comatose cardiac arrest survivors remains challenging. We hypothesize that quantitative noncontrast computed tomography (NCCT) combined with neurological assessments, are predictive of outcome.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research