Long-term survival after stroke.
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.
D000367:Age Factors; D000368:Aged; D002544:Cerebral Infarction / Q000401:mortality* / Q000534:rehabilitation; D006429:Hemiplegia / Q000401:mortality; D006801:Humans; D008124:Locomotion; D009203:Myocardial Infarction / Q000401:mortality; D011379:Prognosis