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National Institutes of Health Stroke Scale Item Profiles as Predictor of Patient Outcome
Author(s) -
Azmil H. AbdulRahim,
Rachael L. Fulton,
Heidi Sucharew,
Dawn Kleindorfer,
Pooja Khatri,
Joseph P. Broderick,
Kennedy R. Lees,
A. A. Alexandrov,
Philip M. Bath,
Erich Bluhmki,
Natan M. Bornstein,
L. Claesson,
J. Curram,
Stephen M. Davis,
Geoffrey A. Donnan,
H. C. Diener,
M. Fisher,
M. D. Ginsberg,
Barbara Gregson,
James C. Grotta,
Werner Hacke,
Michael G. Hennerici,
Marc Hommel,
Markku Kaste,
Patrick Lyden,
John R. Marler,
Keith W. Muir,
Roberto Sacco,
Ashfaq Shuaib,
Philip Teal,
Nils Wahlgren,
Steven Warach,
Christian Weimar
Publication year - 2014
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.114.006837
Subject(s) - medicine , confidence interval , modified rankin scale , latent class model , stroke (engine) , odds ratio , thrombolysis , ordered logit , cohort , randomized controlled trial , scale (ratio) , statistics , ischemic stroke , mechanical engineering , physics , mathematics , ischemia , quantum mechanics , myocardial infarction , engineering
National Institutes of Health Stroke Scale (NIHSS) item profiles that were recently proposed may prove useful both clinically and for research studies. We aimed to validate the NIHSS item profiles in an acute cohort.

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