Document Detail


Long-term survival after stroke.
MedLine Citation:
PMID:  6731168     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A total of 162 patients referred for rehabilitation were followed-up for two years. Using the t test and the chi-square test, 15 variables distinguishing the 107 survivors from the 55 who died were identified. Multiple regression analysis identified three factors that gave a predictive equation which correctly identified 92% of the two-year survivors and 48% of those dying in that time. These factors were the severity of the stroke (represented by the patient's walking ability), the presence of pre-existing cardiovascular disease (indicated by a history of myocardial infarction), and the patient's age. Pre-stroke motivation or fitness may also influence long-term survival. The technique of using multiple regression analysis allows a clearer separation of the important prognostic factors than the more usual comparative statistical methods.
Authors:
D T Wade; C E Skilbeck; V A Wood; R Langton Hewer
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Age and ageing     Volume:  13     ISSN:  0002-0729     ISO Abbreviation:  Age Ageing     Publication Date:  1984 Mar 
Date Detail:
Created Date:  1984-06-29     Completed Date:  1984-06-29     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0375655     Medline TA:  Age Ageing     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  76-82     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Age Factors
Aged
Cerebral Infarction / mortality*,  rehabilitation
Hemiplegia / mortality
Humans
Locomotion
Myocardial Infarction / mortality
Prognosis

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