Shortening the NIH Stroke scale for use in the prehospital setting.
OBJECTIVE
Prehospital stroke scales should identify stroke patients and measure stroke severity. The goal of this study was to identify a subset of the 15 items in the National Institutes of Health Stroke Scale (NIHSS-15) that measures stroke severity and predicts outcomes.


METHODS
Using 2 distinct data sets from acute stroke clinical trials, we derived and validated shortened versions of the NIHSS (sNIHSS). Stepwise logistic regression and bootstrap techniques were used in selection of NIHSS-15 items. Areas under the receiver operator characteristic curve (C statistics) were used to compare predictive performance of logistic models incorporating differing versions of the NIHSS.


RESULTS
The derivation analyses suggested the 8 NIHSS-15 items that were most predictive of "good outcome" 3 months after stroke, in order of decreasing importance: right leg item, left leg, gaze, visual fields, language, level of consciousness, facial palsy, and dysarthria. The sNIHSS-8 comprises all 8 and the sNIHSS-5, the first 5. In the validation models, C statistics were NIHSS-15=0.80, sNIHSS-8=0.77, and sNIHSS-5=0.76. Statistical comparisons suggested that the NIHSS-15 had better predictive performance than the sNIHSS-8 or the sNIHSS-5; the absolute difference in C statistics was small. There was no significant difference between the sNIHSS-8 and the sNIHSS-5.


CONCLUSIONS
Much of the predictive performance of the full NIHSS-15 was retained with a shortened scale, the sNIHSS-5. Shortening the NIHSS-15 will facilitate its use during prehospital evaluations. The sNIHSS severity information may be useful to triage acute stroke patients in communities and to provide a baseline stroke severity for prehospital acute stroke trials.
Tirschwell
David L
DL
Department of Neurology, Harborview Medical Center, University of Washington School of Medicine, Seattle, USA.tirsch@u.washington.edu
Longstreth
W T
WT
Becker
Kyra J
KJ
Gammans
Richard E
RE
Sabounjian
LuAnn A
LA
Hamilton
Scott
S
Morgenstern
Lewis B
LB
D000208:Acute Disease; D000368:Aged; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D015331:Cohort Studies; D003943:Diagnostic Techniques, Neurological / Q000592:standards*; D004632:Emergency Medical Services / Q000592:standards*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D011237:Predictive Value of Tests; D012372:ROC Curve; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D020521:Stroke / Q000175:diagnosis* / Q000503:physiopathology; D014218:Triage / Q000592:standards