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Objective: The blood urea nitrogen-to-creatinine (BUN/creatinine) ratio has been proposed as a useful parameter in acute heart failure (AHF), but data on the normal range and the added value of the ratio compared with its separate components in patients with AHF are lacking. The aim of this study is to define the normal range of BUN/creatinine ratio and to investigate its clinical significance in patients with AHF.Methods: In 4484 subjects from the general population without cardiovascular comorbidities, we calculated age-specific and sex-specific normal values of the BUN/creatinine ratio, deriving a higher and lower than normal range of BUN/creatinine ratio (exceeding the 95% prediction intervals). Association of abnormal range to prognosis was tested in 2033 patients with AHF for the outcome of all-cause death through 180 days, death or cardiovascular or renal rehospitalisation through 60 days and heart failure (HF) rehospitalisation within 60 days.Results: In a cohort of patients with AHF, 482 (24.6%) and 28 (1.4%) patients with HF were classified into higher and lower than normal range groups, respectively. In Cox regression analysis, higher than normal range of BUN/creatinine ratio group was an independent predictor for all-cause death (HR: 1.86, 95% CI 1.29 to 2.66) and death or cardiovascular or renal rehospitalisation (HR: 1.37, 95% CI 1.03 to 1.82), but not for HF rehospitalisation (HR: 1.23, 95% CI 0.81 to 1.86) after adjustment for other prognostic factors including both creatinine and BUN.Conclusions: In patients with AHF, BUN/creatinine higher than age-specific and sex-specific normal range is associated with worse prognosis independently from both creatinine and BUN. CLINICAL TRIALS: gov identifier NCT00328692 and NCT00354458. [ABSTRACT FROM AUTHOR]

Aim: Improved prediction of early post-discharge death or rehospitalization after admission for acute heart failure is a major unmet need. We evaluated the value of biomarkers to predict either low or high risk for early post-discharge events.Methods and Results: A total of 1653 patients enrolled in the PROTECT trial who were discharged alive and with available blood samples were included. Forty-seven biomarkers were serially evaluated in these patients. Measurement closest to discharge was used to evaluate the predictive value of biomarkers for low and high post-discharge risk. Patients were classified as 'low risk' if post-discharge 30-day risk of death or heart failure rehospitalization was <5% while risk >20% was used to define 'high risk'. Cut-off values that yielded a 95% negative predictive value and a 20% positive predictive value were identified for each biomarker. Partial area under the receiver operating characteristic curve (pAUC) in the high-sensitivity and high-specificity regions was calculated to compare low-risk and high-risk predictive values. Of patients analysed, 193 (11.7%) patients reached the 30-day death or heart failure rehospitalization outcome. We found marked differences between low-risk and high-risk predictors. Cardiac-specific troponin I was the strongest biomarker for low-risk prediction (pAUC = 0.552, 95% confidence interval 0.52-0.58) while endothelin-1 showed better performance for high-risk prediction (pAUC = 0.560, 95% confidence interval 0.53-0.59). Several biomarkers (individually and in combination) provided added predictive value, on top of a clinical model, in both low-risk and high-risk regions.Conclusion: Different biomarkers predicted low risk vs. high risk of early post-discharge death or heart failure readmission in patients hospitalized for acute heart failure. [ABSTRACT FROM AUTHOR]