Literature DB >> 11387492

A modified National Institutes of Health Stroke Scale for use in stroke clinical trials: preliminary reliability and validity.

P D Lyden1, M Lu, S R Levine, T G Brott, J Broderick.   

Abstract

BACKGROUND AND
PURPOSE: The National Institutes of Health Stroke Scale (NIHSS) is accepted widely for measuring acute stroke deficits in clinical trials, but it contains items that exhibit poor reliability or do not contribute meaningful information. To improve the scale for use in clinical research, we used formal clinimetric analyses to derive a modified version, the mNIHSS. We then sought to demonstrate the validity and reliability of the new mNIHSS.
METHODS: The mNIHSS was derived from our prior clinimetric studies of the NIHSS by deleting poorly reproducible or redundant items (level of consciousness, face weakness, ataxia, dysarthria) and collapsing the sensory item into 2 responses. Reliability of the mNIHSS was assessed with the certification data originally collected to assess the reliability of investigators in the National Institute of Neurological Disorders and Stroke (NINDS) rtPA (recombinant tissue plasminogen activator) Stroke TRIAL: Validity of the mNIHSS was assessed with the outcome results of the NINDS rtPA Stroke Trial:
RESULTS: Reliability was improved with the mNIHSS: the number of scale items with poor kappa coefficients on either of the certification tapes decreased from 8 (20%) to 3 (14%) with the mNIHSS. With the use of factor analysis, the structure underlying the mNIHSS was found identical to the original scale. On serial use of the scale, goodness of fit coefficients were higher with the mNIHSS. With data from part I of the trial data, the proportion of patients who improved >/=4 points within 24 hours after treatment was statistically significantly increased by tPA (odds ratio, 1.3; 95% confidence limits, 1.0, 1.8; P=0.05). Likewise, the odds ratio for complete/nearly complete resolution of stroke symptoms 3 months after treatment was 1.7 (95% confidence limits, 1.2, 2.6) with the mNIHSS. Other outcomes showed the same agreement when the mNIHSS was compared with the original scale. The mNIHSS showed good responsiveness, ie, was useful in differentiating patients likely to hemorrhage or have a good outcome after stroke.
CONCLUSIONS: The mNIHSS appears to be identical clinimetrically to the original NIHSS when the same data are used for validation and reliability. Power appears to be greater with the mNIHSS with the use of 24-hour end points, suggesting the need for fewer patients in trials designed to detect treatment effects comparable to rtPA. The mNIHSS contains fewer items and might be simpler to use in clinical research trials. Prospective analysis of reliability and validity, with the use of an independently collected cohort, must be obtained before the mNIHSS is used in a research setting.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11387492     DOI: 10.1161/01.str.32.6.1310

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  64 in total

1.  Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface.

Authors:  Natalie Mrachacz-Kersting; Ning Jiang; Andrew James Thomas Stevenson; Imran Khan Niazi; Vladimir Kostic; Aleksandra Pavlovic; Sasa Radovanovic; Milica Djuric-Jovicic; Federica Agosta; Kim Dremstrup; Dario Farina
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

2.  Lower NIH stroke scale scores are required to accurately predict a good prognosis in posterior circulation stroke.

Authors:  Violiza Inoa; Abraham W Aron; Ilene Staff; Gilbert Fortunato; Lauren H Sansing
Journal:  Cerebrovasc Dis       Date:  2014-03-25       Impact factor: 2.762

3.  The dynamics of Poststroke depression among Ghanaians.

Authors:  Fred Stephen Sarfo; Manolo Agbenorku; Sheila Adamu; Vida Obese; Patrick Berchie; Bruce Ovbiagele
Journal:  J Neurol Sci       Date:  2019-07-23       Impact factor: 3.181

4.  COG1410, a novel apolipoprotein-E mimetic, improves functional and morphological recovery in a rat model of focal brain ischemia.

Authors:  Elena A Tukhovskaya; Alexey Yu Yukin; Oksana N Khokhlova; Arkady N Murashev; Michael P Vitek
Journal:  J Neurosci Res       Date:  2009-02-15       Impact factor: 4.164

5.  Production and validation of Putonghua- and Cantonese-Chinese language National Institutes of Health Stroke Scale training and certification videos.

Authors:  R T F Cheung; P D Lyden; T H Tsoi; Y Huang; M Liu; S F K Hon; R Raman; L Liu
Journal:  Int J Stroke       Date:  2010-04       Impact factor: 5.266

6.  The Neurological Outcome Scale for Traumatic Brain Injury (NOS-TBI): I. Construct validity.

Authors:  Elisabeth A Wilde; Stephen R McCauley; Tara M Kelly; Annie M Weyand; Claudia Pedroza; Harvey S Levin; Guy L Clifton; Kathleen P Schnelle; Monika V Shah; Paolo Moretti
Journal:  J Neurotrauma       Date:  2010-06       Impact factor: 5.269

7.  Validity and reliability of a korean version of the national institutes of health stroke scale.

Authors:  Mi Sun Oh; Kyung-Ho Yu; Ju-Hun Lee; San Jung; Im-Suck Ko; Joon-Hyun Shin; Soo-Jin Cho; Hui-Chul Choi; Hyang Hee Kim; Byung-Chul Lee
Journal:  J Clin Neurol       Date:  2012-09-27       Impact factor: 3.077

8.  Is the NIHSS certification process too lenient?

Authors:  Nancy K Hills; S Andrew Josephson; Patrick D Lyden; S Claiborne Johnston
Journal:  Cerebrovasc Dis       Date:  2009-03-19       Impact factor: 2.762

9.  Efficacy of site-independent telemedicine in the STRokE DOC trial: a randomised, blinded, prospective study.

Authors:  Brett C Meyer; Rema Raman; Thomas Hemmen; Richard Obler; Justin A Zivin; Ramesh Rao; Ronald G Thomas; Patrick D Lyden
Journal:  Lancet Neurol       Date:  2008-09       Impact factor: 44.182

Review 10.  Window of opportunity: estrogen as a treatment for ischemic stroke.

Authors:  Ran Liu; Shao-Hua Yang
Journal:  Brain Res       Date:  2013-01-20       Impact factor: 3.252

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.