The American journal of cardiology
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Comparative Study
Usefulness of β-trace protein and cystatin C for the prediction of mortality in non ST segment elevation acute coronary syndromes.
Beta-trace protein (BTP) is a low-molecular mass protein belonging to the lipocalin protein family, which is more sensitive than serum creatinine for detecting impaired renal function. The aims of the present study were to evaluate whether plasma BTP improves the risk stratification of patients with non-ST-segment elevation acute coronary syndromes and to compare it to cystatin C (CysC), serum creatinine, and estimated glomerular filtration rate. Two hundred twenty-six consecutive patients with non-ST-segment elevation acute coronary syndromes were prospectively included. ⋯ In stratified analyses according to kidney function, elevated BTP and CysC were associated with a higher risk for all-cause death. Reclassification analyses showed that BTP and CysC added complementary information to Global Registry for Acute Coronary Events (GRACE) risk score. In conclusion, BTP and CysC levels were associated with all-cause death risk and modestly improved prognostic discrimination beyond the GRACE risk score in patients with non-ST segment elevation acute coronary syndromes.
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Comparative Study
Prognostic information of glycogen phosphorylase isoenzyme BB in patients with suspected acute coronary syndrome.
Early and adequate risk stratification is essential in patients with suspected acute coronary syndrome (ACS). The aim of the present study was to investigate whether glycogen phosphorylase BB (GPBB) could add prognostic information in the context of contemporary sensitive troponin I determination and B-type natriuretic peptide (BNP). Patients with suspected ACS were consecutively enrolled at 3 German study centers from January 2007 through December 2008. ⋯ GPBB measured on admission predicted an unfavorable outcome with a hazard ratio of 1.24 (p <0.05) in an unadjusted Cox regression model and showed a tendency with a hazard ratio of 1.13 (p = 0.07) in a fully adjusted model. Kaplan-Meier analysis revealed a poorer outcome in patients with increased GPBB levels amendatory to the information provided by troponin I or BNP. In conclusion, GPBB measurement provides predictive information on midterm prognosis in patients with chest pain in addition to BNP and troponin I.
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Comparative Study
Predicting risk of hospitalization or death among patients with heart failure in the veterans health administration.
Patients with heart failure (HF) are at high risk of hospitalization or death. The objective of this study was to develop prediction models to identify patients with HF at highest risk for hospitalization or death. Using clinical and administrative databases, we identified 198,460 patients who received care from the Veterans Health Administration and had ≥1 primary or secondary diagnosis of HF that occurred within 1 year before June 1, 2009. ⋯ The c-statistics for the 30-day outcomes were 0.82, 0.80, and 0.80 for hospitalization, death, and hospitalization or death, respectively, and 0.82, 0.76, and 0.77, respectively, for 1-year outcomes. In conclusion, prediction models using electronic health records can accurately identify patients who are at highest risk for hospitalization or death. This information can be used to assist care managers in selecting patients for interventions to decrease their risk of hospitalization or death.