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PubMed · 6731168

Long-term survival after stroke.

D T Wade·C E Skilbeck·V A Wood·R Langton Hewer
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Abstract

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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Age FactorsAgedCerebral InfarctionHemiplegiaHumansLocomotionMyocardial InfarctionPrognosisJournal Article

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D T Wade, C E Skilbeck, V A Wood, R Langton Hewer. 1984. Long-term survival after stroke.. https://doi.org/10.1093/ageing%2F13.2.76

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