A simple scoring system for outcome prediction of XXXX .

@entity1 @entity64 @entity5329 @entity4059 @entity26 @entity15662 @entity204 @entity912 @entity385
OBJECTIVES: According to most existing models, a computer is usually needed for predicting @entity64 outcome. Our purpose was to construct a simple and reliable prognostic scale not requiring the use of a calculating machine. MATERIALS AND METHODS: The scale [the Bologna Outcome Algorithm for @entity64 ( @entity15662 )] was obtained in 221 @entity1 with @entity385 not undergoing thrombolysis and was then validated in a test group of 100 different @entity1 . Outcome was assessed at 9 months as the number of dependent or dead @entity1 (modified Rankin scale - @entity5329 ). RESULTS: By a preliminary systematic univariate analysis, 25 of 415 baseline variables were found to be associated with a @entity5329 independently of @entity64 severity and age. Subsequent multivariable analyses led to a final model based on five dichotomous @entity4059 ( @entity4059 ): National Institutes of Health @entity64 Scale score >= 10, age >= 78, need of urinary catheter, @entity26 administration, and persistence of @entity912 at discharge from @entity64 unit. The @entity1 with two or more @entity4059 (53%) had a @entity5329 in 91% of cases and were dead in 42% of cases. With 0-1 @entity4059 , the two percentages were 24% and 2%, respectively (overall accuracy of prediction 83.9%, area under ROC curve [AUC] 0.891). In the test group, the accuracy was 79.0% and the AUC was 0.839. CONCLUSIONS: The need of urinary catheter, @entity26 administration, and persistence of @entity912 , together with @entity64 severity and advanced age, allow a simple and accurate prediction of dependency or @entity204 after @entity385 .
