Prognostic implications of XXXX in @entity583 . Prospective observational study.

@entity1 @entity1165 @entity6 @entity713 @entity1347 @entity5036 @entity583 @entity943 @entity4854 @entity413
INTRODUCTION AND OBJECTIVES: In @entity1 with acute @entity583 , elevation of plasma @entity413 levels is associated with worse outcomes. The aim of this study was to evaluate the association between @entity4854 and in-hospital mortality in @entity1 with acute @entity583 with @entity1347 ( @entity1347 ). METHODS: We analyzed 834 consecutive @entity1 admitted for @entity1347 to the Coronary Care Unit of our center. Association between admission @entity413 and mortality was assessed with Cox regression analysis. Discriminative accuracy of the multivariate model was assessed by Harrell's C statistic. RESULTS: Eighty-nine (10.7%) @entity1 died during hospitalization. Optimal threshold glycemia level of 140mg/dl on admission to predict mortality was obtained by ROC curves. Those who presented @entity413 >= 140mg/dl showed higher rates of malignant @entity1165 (28% vs. 18%, P=.001), @entity5036 (5% vs. 2%, P=.005), new @entity713 (9% vs. 5%, P=.05) and in-hospital mortality (15% vs. 5%, P<.001). Multivariate analysis showed that those with glycemia >= 140mg/dl exhibited a 2-fold increase of in-hospital mortality risk (95% CI: 1.2-3.5, P=.008) irrespective of @entity6 status (P-value for interaction=0.487 and 0.653, respectively). CONCLUSIONS: Stress @entity4854 on admission is a predictor of mortality and @entity943 in @entity1 with @entity1347 and could be used in the stratification of risk in these @entity1 .
