Determinants and Prognostic Impact of XXXX in Hospitalization for Acute @entity712 .

@entity1 @entity712 @entity177 @entity5052 @entity204 @entity307 @entity414
BACKGROUND: @entity5052 is a prognostic factor in @entity1 with @entity712 , but whether @entity414 level can predict clinical outcome of @entity712 ( @entity712 ) remains to be elucidated. We therefore investigated the association of @entity414 with mortality in @entity1 hospitalized for @entity712 .Methods   and   Results:Data for @entity1 hospitalized for @entity712 were drawn from an intramural registry. Biochemistry data, echocardiographic characteristics, and @entity414 level were collected. National Death Registry was linked for the identification of mortality data. Among a total of 1,835 @entity1 (age, 75  13 years, 68% @entity1 ), 794 @entity1 died during follow-up. @entity1 who died were older, had lower hemoglobin and estimated glomerular filtration rate, and higher pulmonary artery systolic pressure, NT-proBNP, and @entity414 . @entity414 was a significant predictor of mortality on univariate analysis (HR @entity307 SD, 1.18; 95% CI: 1.11-1.26) and in multivariate Cox models (HR, 1.15; 95% CI: 1.02-1.29). Survival analysis showed an increasing risk of @entity204 along the quartile distribution of @entity414 level. Given renal function, cardiac performance, and kidney perfusion as major determinants of @entity5052 , the prognostic impact of @entity414 level was diminished as renal function deteriorated. CONCLUSIONS: @entity414 level was an independent predictor of mortality in @entity1 hospitalized for @entity712 , but the prognostic impact of @entity5052 was @entity177 .
