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Original article| Volume 54, ISSUE 8, P766-773, August 2001

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A prognostic index for 30-day mortality after stroke

  • Yang Wang
    Correspondence
    Corresponding author. Tel.: 61-2-4923 6302; fax: 61-2-4923 6148. E-mail address:(Y. Wang)
    Affiliations
    Centre for Clinical Epidemiology and Biostatistics, David Maddison Clinical Sciences Building, Royal Newcastle Hospital, Newcastle, New South Wales 2300, Australia
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  • Lynette L-Y Lim
    Affiliations
    Centre for Clinical Epidemiology and Biostatistics, David Maddison Clinical Sciences Building, Royal Newcastle Hospital, Newcastle, New South Wales 2300, Australia
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  • Christopher Levi
    Affiliations
    Department of Neurology, John Hunter Hospital, Locked Bag No 1, Hunter Regional Mail Center, 2310 NSW, Australia
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  • Richard F Heller
    Affiliations
    Centre for Clinical Epidemiology and Biostatistics, David Maddison Clinical Sciences Building, Royal Newcastle Hospital, Newcastle, New South Wales 2300, Australia
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  • Janet Fischer
    Affiliations
    Heart & Stroke Register, Centre for Clinical Epidemiology and Biostatistics, David Maddison Clinical Sciences Building, Royal Newcastle Hospital, Newcastle, New South Wales 2300, Australia
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      Abstract

      The objective of this study was to develop a simplified scoring system to predict 30-day mortality in patients with acute ischemic stroke. A retrospective cohort study was performed in a tertiary referral hospital in the Hunter Region of Australia. A prognostic index was created by assigning points to the variables in a Cox model. The index included impaired consciousness (5 points), dysphagia (3 points), urinary incontinence (4 points), admission body temperature higher than 36.5°C (2 points), and hyperglycemia without a clinical history of diabetes (2 points). A score of 11 or more defined a high-risk group. The index achieved a sensitivity, specificity, and positive predictive value of 68%, 98% and 75%, respectively, in the derivation sample and 57%, 97% and 68%, respectively, in the validation sample. The results provide a simple risk stratification instrument for clinical research and practice. Further evaluation of the model in a prospective cohort is warranted

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