Predictors of 90-day outcome in XXXX stabilized after acute coronary syndromes.

@entity1 @entity1187 @entity712 @entity1011 @entity583 @entity204
AIMS: We investigated predictors of 90-day risk among @entity1 surviving the early period after an @entity1187 ( @entity1187 ). METHODS AND RESULTS: The study population included 15 904 stabilized ST-segment elevation or non-ST-segment elevation @entity1187 @entity1 randomized in SYMPHONY and 2nd SYMPHONY. We developed risk models for @entity204 , @entity204 or @entity583 ( @entity583 ), and @entity204 , @entity583 , or severe recurrent ischaemia (SRI) using Cox proportional-hazards techniques. Demographic, history, and pre-randomization clinical and medication variables were tested. Validation techniques included development of individual trial models, backward elimination and bootstrapping. Of 118 variables, 17 independently predicted mortality. The strongest associations included greater age (chi(2)=31.1), higher randomization heart rate (chi(2)=27.4), and @entity712 ( @entity712 ) variables ( @entity712 between qualifying event and randomization, chi(2)=21.8; history of @entity712 , chi(2)=12.2). Higher @entity1011 clearance (chi(2)=17.7) and percutaneous coronary intervention between qualifying event and randomization (chi(2)=11.1) most strongly predicted lower risk. Similar characteristics entered the double and triple composite models, but @entity712 variables and age less strongly predicted these end-points. CONCLUSIONS: In @entity1 stabilized after @entity1187 , those at highest risk over the next 90 days can be identified. Typical clinical markers are better at identifying risk of @entity204 than non-fatal @entity583 or SRI. Novel risk markers are needed for these outcomes.
