osteoprotegerin and Shock--Cardiogenic

osteoprotegerin has been researched along with Shock--Cardiogenic* in 1 studies

Other Studies

1 other study(ies) available for osteoprotegerin and Shock--Cardiogenic

Article	Year
Growth-differentiation factor 15 and osteoprotegerin in acute myocardial infarction complicated by cardiogenic shock: a biomarker substudy of the IABP-SHOCK II-trial. European journal of heart failure, 2014, Volume: 16, Issue:8 This study investigates the role of osteoprotegerin (OPG) and growth-differentiation factor 15 (GDF-15) as predictors of outcome in cardiogenic shock (CS) complicating acute myocardial infarction. The novel biomarkers OPG and GDF-15 have shown prognostic impact in various cardiovascular diseases including myocardial infarction. In acute myocardial infarction complicated by CS, the diagnostic and prognostic impact of these biomarkers has not been investigated yet. OPG and GDF-15 may have additional prognostic impact on early prognosis assessment, being potentially useful for decision-making in CS.. In the randomized Intra-aortic Balloon Pump in cardiogenic Shock II (IABP-SHOCK II)-trial, 600 patients with CS complicating acute myocardial infarction undergoing early revascularization were assigned to therapy with or without IABP. Within a pre-defined substudy, blood samples were collected from 190 patients during PCI. GDF-15 and OPG serum levels were measured with standard enzyme-linked immunosorbent assay kits. Patients with GDF-15 and OPG levels greater than the median showed higher rates of death at 30 days by χ(2) testing (OPG, 51% vs. 32%, P = 0.01; GDF-15, 52% vs. 31%, P = 0.005) and log rank testing [GDF-15, hazard ratio (HR) 1.88, 95% confidence interval (CI) 1.21-2.94; P = 0.005; OPG, HR 1.74, 95% CI 1.11-2.71; P = 0.01]. Both markers were significantly predictive of 30-day mortality in univariable logistic regression analysis. In a multivariable logistic stepwise regression model, GDF-15, TIMI (Thrombolysis In Myocardial Infarction) flow grade <3 after PCI, age, LVEF, and serum lactate remained significant predictors of 30-day mortality.. GDF-15 on admission is a significant independent predictor of short-term mortality in infarct-related CS. Trail registration: NCT00491036. Topics: Aged; Biomarkers; Female; Growth Differentiation Factor 15; Humans; Logistic Models; Male; Middle Aged; Multivariate Analysis; Myocardial Infarction; Osteoprotegerin; Prognosis; Shock, Cardiogenic	2014

Article

Year

Growth-differentiation factor 15 and osteoprotegerin in acute myocardial infarction complicated by cardiogenic shock: a biomarker substudy of the IABP-SHOCK II-trial.

European journal of heart failure, 2014, Volume: 16, Issue:8

This study investigates the role of osteoprotegerin (OPG) and growth-differentiation factor 15 (GDF-15) as predictors of outcome in cardiogenic shock (CS) complicating acute myocardial infarction. The novel biomarkers OPG and GDF-15 have shown prognostic impact in various cardiovascular diseases including myocardial infarction. In acute myocardial infarction complicated by CS, the diagnostic and prognostic impact of these biomarkers has not been investigated yet. OPG and GDF-15 may have additional prognostic impact on early prognosis assessment, being potentially useful for decision-making in CS.. In the randomized Intra-aortic Balloon Pump in cardiogenic Shock II (IABP-SHOCK II)-trial, 600 patients with CS complicating acute myocardial infarction undergoing early revascularization were assigned to therapy with or without IABP. Within a pre-defined substudy, blood samples were collected from 190 patients during PCI. GDF-15 and OPG serum levels were measured with standard enzyme-linked immunosorbent assay kits. Patients with GDF-15 and OPG levels greater than the median showed higher rates of death at 30 days by χ(2) testing (OPG, 51% vs. 32%, P = 0.01; GDF-15, 52% vs. 31%, P = 0.005) and log rank testing [GDF-15, hazard ratio (HR) 1.88, 95% confidence interval (CI) 1.21-2.94; P = 0.005; OPG, HR 1.74, 95% CI 1.11-2.71; P = 0.01]. Both markers were significantly predictive of 30-day mortality in univariable logistic regression analysis. In a multivariable logistic stepwise regression model, GDF-15, TIMI (Thrombolysis In Myocardial Infarction) flow grade <3 after PCI, age, LVEF, and serum lactate remained significant predictors of 30-day mortality.. GDF-15 on admission is a significant independent predictor of short-term mortality in infarct-related CS. Trail registration: NCT00491036.

Topics: Aged; Biomarkers; Female; Growth Differentiation Factor 15; Humans; Logistic Models; Male; Middle Aged; Multivariate Analysis; Myocardial Infarction; Osteoprotegerin; Prognosis; Shock, Cardiogenic

2014