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© 1984 Oxford University Press

research-article

LONG-TERM SURVIVAL AFTER STROKE

DERICK T. WADE, Research Registrar, CLIVE E. SKILBECK, Principal Clinical Psychologist, VICTORINE A. WOOD, Research Assistant and RICHARD LANGTON HEWER, Consultant Neurologist

Department of Neurology, Frenchay Hospital Bristol BS16 1 LE

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.


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