TY - JOUR
T1 - Picturing the Size and Site of Stroke with an Expanded National Institutes of Health Stroke Scale
AU - Agis, Daniel
AU - Goggins, Maria B.
AU - Oishi, Kumiko
AU - Oishi, Kenichi
AU - Davis, Cameron
AU - Wright, Amy
AU - Kim, Eun Hye
AU - Sebastian, Rajani
AU - Tippett, Donna C.
AU - Faria, Andreia
AU - Hillis, Argye E.
N1 - Funding Information:
Sources of Funding: The research reported in this study was supported by the National Institutes of Health (National Institute of Deafness and Communication Disorders and National Institute of Neurological Disorders and Stroke) through awards R01 NS047691, R01 DC05375, R01 DC03681, and P41 EB015909 and the American Heart Association 12SDG12080169. The content is solely the responsibility of the authors and does not necessarily represent the views the National Institutes of Health.
Publisher Copyright:
© 2016 American Heart Association, Inc.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Background and Purpose - The National Institutes of Health Stroke Scale (NIHSS) includes minimal assessment of cognitive function, particularly in right hemisphere (RH) stroke. Descriptions of the Cookie Theft picture from the NIHSS allow analyses that (1) correlate with aphasia severity and (2) identify communication deficits in RH stroke. We hypothesized that analysis of the picture description contributes valuable information about volume and location of acute stroke. Methods - We evaluated 67 patients with acute ischemic stroke (34 left hemisphere [LH]; 33 RH) with the NIHSS, analysis of the Cookie Theft picture, and magnetic resonance imaging, compared with 35 sex- and age-matched controls. We evaluated descriptions for total content units (CU), syllables, ratio of left:right CU, CU/minute, and percent interpretive CU, based on previous studies. Lesion volume and percent damage to regions of interest were measured on diffusion-weighted imaging. Multivariable linear regression identified variables associated with infarct volume, independently of NIHSS score, age and sex. Results - Patients with RH and LH stroke differed from controls, but not from each other, on CU, syllables/CU, and CU/minute. Left:right CU was lower in RH compared with LH stroke. CU, syllables/CU, and NIHSS each correlated with lesion volume in LH and RH stroke. Lesion volume was best accounted by a model that included CU, syllables/CU, NIHSS, left:right CU, percent interpretive CU, and age, in LH and RH stroke. Each discourse variable and NIHSS score were associated with percent damage to different regions of interest, independently of lesion volume and age. Conclusions - Brief picture description analysis complements NIHSS scores in predicting stroke volume and location.
AB - Background and Purpose - The National Institutes of Health Stroke Scale (NIHSS) includes minimal assessment of cognitive function, particularly in right hemisphere (RH) stroke. Descriptions of the Cookie Theft picture from the NIHSS allow analyses that (1) correlate with aphasia severity and (2) identify communication deficits in RH stroke. We hypothesized that analysis of the picture description contributes valuable information about volume and location of acute stroke. Methods - We evaluated 67 patients with acute ischemic stroke (34 left hemisphere [LH]; 33 RH) with the NIHSS, analysis of the Cookie Theft picture, and magnetic resonance imaging, compared with 35 sex- and age-matched controls. We evaluated descriptions for total content units (CU), syllables, ratio of left:right CU, CU/minute, and percent interpretive CU, based on previous studies. Lesion volume and percent damage to regions of interest were measured on diffusion-weighted imaging. Multivariable linear regression identified variables associated with infarct volume, independently of NIHSS score, age and sex. Results - Patients with RH and LH stroke differed from controls, but not from each other, on CU, syllables/CU, and CU/minute. Left:right CU was lower in RH compared with LH stroke. CU, syllables/CU, and NIHSS each correlated with lesion volume in LH and RH stroke. Lesion volume was best accounted by a model that included CU, syllables/CU, NIHSS, left:right CU, percent interpretive CU, and age, in LH and RH stroke. Each discourse variable and NIHSS score were associated with percent damage to different regions of interest, independently of lesion volume and age. Conclusions - Brief picture description analysis complements NIHSS scores in predicting stroke volume and location.
KW - aphasia
KW - cognition disorders
KW - linear models
KW - magnetic resonance imaging
KW - stroke
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U2 - 10.1161/STROKEAHA.115.012324
DO - 10.1161/STROKEAHA.115.012324
M3 - Article
C2 - 27217502
AN - SCOPUS:84965036950
SN - 0039-2499
VL - 47
SP - 1459
EP - 1465
JO - Stroke
JF - Stroke
IS - 6
ER -