Predicting functional outcome and survival after acute XXXX .

@entity1 @entity64 @entity6 @entity221 @entity16 @entity204 @entity734 @entity1002 @entity385
OBJECTIVE: Disability and mortality represent the most relevant clinical outcome after acute @entity385 . However, validated and comprehensive prognostic models for recovery have not been developed. An accurate model including all previously suggested independent outcome predictors could improve the design and analysis of clinical trials. We therefore developed prognostic models for functional @entity734 and @entity204 after 100 days in a large cohort of @entity64 @entity1 . METHODS: From the German @entity64 Database, 1754 prospectively collected records of @entity1 with acute @entity385 were used for the development of prognostic models. Intubated @entity1 and @entity1 with low functional status before @entity64 were excluded. Functional independence was defined as a Barthel Index >/=95 after 100 days. Prognostic factors assessable within 72 hours after admission were identified by a systematic literature review. The final models of binary logistic regression analyses were internally validated and calibrated. RESULTS: The resulting cross-validated and calibrated models correctly classified more than 80 % of the @entity1 and yielded the following prognostic factors for functional independence: Age, right and @entity1002 at admission, NIH- @entity64 Scale at admission, Rankin Scale 48-72 hours later, gender, prior @entity64 , @entity6 , @entity221 , @entity16 . The following variables were identified as prognostic factors for @entity204 : Age, NIH- @entity64 Scale at admission, and @entity221 . CONCLUSIONS: Our work gives an important insight into prognostic factors after acute @entity385 and presents predictive models with high prognostic accuracy. Together with a prospective validation study, currently underway, we hence hope to improve the prediction of functional outcome after @entity385 .
