Literature DB >> 9183347

Retrospective assessment of initial stroke severity with the Canadian Neurological Scale.

L B Goldstein1, V Chilukuri.   

Abstract

BACKGROUND AND
PURPOSE: The severity of the initial neurological deficit is a critical determinant of outcome after acute stroke. Retrospective outcome studies are generally limited by a lack of quantitative data relating to this initial stroke severity. We evaluated the validity and reliability of measuring initial stroke severity retrospectively with the Canadian Neurological Scale (CNS).
METHODS: The CNS was used to prospectively score the initial neurological deficit in a series of patients with acute ischemic stroke (n = 24). An algorithm was devised for applying the CNS retrospectively on the basis of information in the patient's hospital discharge summary. Those dictating the discharge summaries were not aware of the study, and the retrospective scoring was performed without reference to other scores. The level of agreement between the prospective and retrospective scores (validity) and both intraobserver and interobserver reliability for the retrospective scores were determined.
RESULTS: Agreement was high between retrospective and prospective scores (r = .84, R2 = .71, P < .0001), between two sets of retrospective scores obtained by one rater (r = .95, R2 = .91, P < .0001), and between retrospective scores obtained by different raters (r = .91, R2 = .82, P < .0001). Weighted kappa statistics (kappa w) for prospectively versus retrospectively scored items varied from almost perfect (kappa w > 0.81 for level of consciousness and orientation) to substantial (kappa w = 0.68 for speech) and moderate (kappa w = 0.41 to 0.60 for facial weakness, proximal arm, distal arm, proximal leg, and distal leg strength). Using the retrospective algorithm, there was almost perfect intraobserver and interobserver reliability for each of the individual CNS items (kappa w = 0.81 to 1.00).
CONCLUSIONS: These data show that retrospective scoring of initial stroke severity using an algorithm based on the CNS is valid and can be reliably performed using information available in hospital discharge summaries.

Entities:  

Mesh:

Year:  1997        PMID: 9183347     DOI: 10.1161/01.str.28.6.1181

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


  10 in total

1.  Reliability of the variables in a new set of models that predict outcome after stroke.

Authors:  N U Weir; C E Counsell; M McDowall; A Gunkel; M S Dennis
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-04       Impact factor: 10.154

2.  A Rasch analysis of a self-perceived change in quality of life scale in patients with mild stroke.

Authors:  Jau-Hong Lin; Wen-Chung Wang; Ching-Fan Sheu; Sing Kai Lo; I-Ping Hsueh; Ching-Lin Hsieh
Journal:  Qual Life Res       Date:  2005-12       Impact factor: 4.147

3.  A randomized controlled trial on Stroke telerehabilitation: The effects on falls self-efficacy and satisfaction with care.

Authors:  Neale R Chumbler; Xinli Li; Patricia Quigley; Miriam C Morey; Dorian Rose; Patricia Griffiths; Jon Sanford; Helen Hoenig
Journal:  J Telemed Telecare       Date:  2015-02-12       Impact factor: 6.184

4.  High dose human serum albumin for the treatment of acute ischemic stroke: a safety study.

Authors:  Sebastian Koch; Mauricio Concha; Tarek Wazzan; Jose G Romano; Alejandro Forteza
Journal:  Neurocrit Care       Date:  2004       Impact factor: 3.210

5.  Measuring outcomes in acute neurorehabilitation in General Hospital setting - our experience.

Authors:  Emela Mujić-Skikić; Suad Trebinjac; Dijana Avdić; Amra Dzumhur-Sarić
Journal:  Bosn J Basic Med Sci       Date:  2006-08       Impact factor: 3.363

6.  Declining patient functioning and caregiver burden/health: the Minnesota stroke survey--quality of life after stroke study.

Authors:  Melissa M Nelson; Maureen A Smith; Brian C Martinson; Amy Kind; Russell V Luepker
Journal:  Gerontologist       Date:  2008-10

7.  Study protocol: home-based telehealth stroke care: a randomized trial for veterans.

Authors:  Neale R Chumbler; Dorian K Rose; Patricia Griffiths; Patricia Quigley; Nancy McGee-Hernandez; Katherine A Carlson; Phyllis Vandenberg; Miriam C Morey; Jon Sanford; Helen Hoenig
Journal:  Trials       Date:  2010-06-30       Impact factor: 2.279

8.  Predicting aspiration in patients with ischemic stroke: comparison of clinical signs and aerodynamic measures of voluntary cough.

Authors:  Carol A Smith Hammond; Larry B Goldstein; Ron D Horner; Jun Ying; Linda Gray; Leslie Gonzalez-Rothi; Donald C Bolser
Journal:  Chest       Date:  2008-11-18       Impact factor: 9.410

9.  Derivation and validation of a simple risk score for predicting 1-year mortality in stroke.

Authors:  O G Solberg; M Dahl; P Mowinckel; K Stavem
Journal:  J Neurol       Date:  2007-10-15       Impact factor: 4.849

10.  Prognostic factors in acute stroke, regarding to stroke severity by Canadian Neurological Stroke Scale: A hospital-based study.

Authors:  Fardin Faraji; Keyvan Ghasami; Afsoon Talaie-Zanjani; Abolfazl Mohammadbeigi
Journal:  Asian J Neurosurg       Date:  2013-04
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.