AIM: To investigate the use of biomarkers providing independent information regarding physiology in acutely decompensated heart failure (ADHF) for assessment of risk. METHODS AND RESULTS: This was a prospective study of 107 patients hospitalized with ADHF (mean age 72 ± 13 years, 44% male, left ventricular ejection fraction 47 ± 15%). Blood samples were collected on presentation to measure soluble (s)ST2, high-sensitivity troponin T (hsTnT), and amino-terminal pro-B type natriuretic peptide (NT-proBNP) levels. Clinical follow-up was obtained for all patients over a median period of 739 days, and all-cause mortality was registered. Concentrations of sST2 [per 10 ng/mL, hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.04-1.13; P< 0.001], hsTnT (per 0.1 ng/mL, HR 1.16, 95% CI 1.09-1.24; P< 0.001), and NT-proBNP (per 100 pg/mL, HR 1.01, 95% CI 1.003-1.01; P< 0.001) were each predictive of a higher risk of death. In bootstrapped models, each biomarker retained independent predictive value for mortality. Patients with all three biomarkers below their optimal cut-off at presentation were free of death (0%) during follow-up, whereas 53% of those with elevations of all three biomarkers had died. For each elevated marker (from 0 to 3) adjusted analysis suggested a tripling of the risk of death (for each elevated marker, HR 2.64, 95% CI 1.63-4.28, P< 0.001). Integrated discrimination analyses indicated that the use of these three markers in a multimarker approach uniquely improved prediction of death. CONCLUSIONS: Biomarkers reflecting remodelling (sST2), myonecrosis (hsTnT), and myocardial stretch (NT-proBNP) provide complementary prognostic information in patients with ADHF. When used together, these novel markers provide superior risk stratification.
AIM: To investigate the use of biomarkers providing independent information regarding physiology in acutely decompensated heart failure (ADHF) for assessment of risk. METHODS AND RESULTS: This was a prospective study of 107 patients hospitalized with ADHF (mean age 72 ± 13 years, 44% male, left ventricular ejection fraction 47 ± 15%). Blood samples were collected on presentation to measure soluble (s)ST2, high-sensitivity troponin T (hsTnT), and amino-terminal pro-B type natriuretic peptide (NT-proBNP) levels. Clinical follow-up was obtained for all patients over a median period of 739 days, and all-cause mortality was registered. Concentrations of sST2 [per 10 ng/mL, hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.04-1.13; P< 0.001], hsTnT (per 0.1 ng/mL, HR 1.16, 95% CI 1.09-1.24; P< 0.001), and NT-proBNP (per 100 pg/mL, HR 1.01, 95% CI 1.003-1.01; P< 0.001) were each predictive of a higher risk of death. In bootstrapped models, each biomarker retained independent predictive value for mortality. Patients with all three biomarkers below their optimal cut-off at presentation were free of death (0%) during follow-up, whereas 53% of those with elevations of all three biomarkers had died. For each elevated marker (from 0 to 3) adjusted analysis suggested a tripling of the risk of death (for each elevated marker, HR 2.64, 95% CI 1.63-4.28, P< 0.001). Integrated discrimination analyses indicated that the use of these three markers in a multimarker approach uniquely improved prediction of death. CONCLUSIONS: Biomarkers reflecting remodelling (sST2), myonecrosis (hsTnT), and myocardial stretch (NT-proBNP) provide complementary prognostic information in patients with ADHF. When used together, these novel markers provide superior risk stratification.
Authors: Meagan E Stabler; Michael E Rezaee; Devin M Parker; Todd A MacKenzie; Andrew R Bohm; Anthony W DiScipio; David J Malenka; Jeremiah R Brown Journal: Biomarkers Date: 2019-01-11 Impact factor: 2.658
Authors: Marco Metra; Luca Bettari; Franca Pagani; Valentina Lazzarini; Carlo Lombardi; Valentina Carubelli; Graziella Bonetti; Silvia Bugatti; Giovanni Parrinello; Luigi Caimi; G Michael Felker; Livio Dei Cas Journal: Clin Res Cardiol Date: 2012-03-10 Impact factor: 5.460
Authors: Jennifer E Ho; Wei-Yu Chen; Ming-Huei Chen; Martin G Larson; Elizabeth L McCabe; Susan Cheng; Anahita Ghorbani; Erin Coglianese; Valur Emilsson; Andrew D Johnson; Stefan Walter; Nora Franceschini; Christopher J O'Donnell; Abbas Dehghan; Chen Lu; Daniel Levy; Christopher Newton-Cheh; Honghuang Lin; Janine F Felix; Eric R Schreiter; Ramachandran S Vasan; James L Januzzi; Richard T Lee; Thomas J Wang Journal: J Clin Invest Date: 2013-09-03 Impact factor: 14.808
Authors: Navaid Iqbal; Bailey Wentworth; Rajiv Choudhary; Alejandro De La Parra Landa; Benjamin Kipper; Arrash Fard; Alan S Maisel Journal: Cardiovasc Diagn Ther Date: 2012-06
Authors: Jehan W Alladina; Sean D Levy; Kathryn A Hibbert; James L Januzzi; R Scott Harris; Michael A Matthay; B Taylor Thompson; Ednan K Bajwa Journal: Crit Care Med Date: 2016-09 Impact factor: 7.598
Authors: Jennifer E Ho; Martin G Larson; Anahita Ghorbani; Susan Cheng; Ramachandran S Vasan; Thomas J Wang; James L Januzzi Journal: J Hypertens Date: 2013-07 Impact factor: 4.844