BACKGROUND: Neuroendocrine activation with endothelial dysfunction is a key pathophysiological process in chronic heart failure (CHF). Although increased soluble E-selectin (sE-selectin) levels predict adverse events in several forms of cardiovascular disease, there are only scarce data on its predictive value in CHF. The aim of our study was to investigate whether sE-selectin is a useful predictor of mortality in CHF patients and whether its predictive power is additive to that of NT-proBNP. METHODS: Plasma levels of sE-selectin were measured by ELISA in 192 CHF patients with clinical systolic heart failure. The study population was followed up for 14.9 months on average; 46 patients died during this period. RESULTS: Levels of sE-selectin were significantly higher in non-surviving patients than in survivors (p = 0.005) and significantly correlated with the following inflammatory markers: CRP (r = 0.242, p = 0.001), TNF-α (r = 0.201, p = 0.005), TNF-RII (r = 0.207, p = 0.004), and IL-6 (r = 0.339, p < 0.0001). According to Cox regression analysis of the prediction power of sE-selectin for all-cause mortality, high sE-selectin levels independently and significantly predicted short-term mortality in CHF (HR 1.47, 95% CI 1.103-1.956). Furthermore, sE-selectin predicted mortality in CHF patients with concomitant diabetes mellitus, as well as simultaneously elevated sE-selectin and NT-proBNP levels additively predicted mortality. CONCLUSIONS: This study demonstrated a weak correlation of sE-selectin level with inflammatory markers and prediction of short-term mortality in diabetic CHF patients. Elevated serum sE-selectin levels and concomitantly increased NT-proBNP concentrations have additive predictive power in CHF. This suggests that parallel activation of various pathophysiological pathways confers increased risk of adverse outcome in CHF.
BACKGROUND: Neuroendocrine activation with endothelial dysfunction is a key pathophysiological process in chronic heart failure (CHF). Although increased soluble E-selectin (sE-selectin) levels predict adverse events in several forms of cardiovascular disease, there are only scarce data on its predictive value in CHF. The aim of our study was to investigate whether sE-selectin is a useful predictor of mortality in CHFpatients and whether its predictive power is additive to that of NT-proBNP. METHODS: Plasma levels of sE-selectin were measured by ELISA in 192 CHFpatients with clinical systolic heart failure. The study population was followed up for 14.9 months on average; 46 patients died during this period. RESULTS: Levels of sE-selectin were significantly higher in non-surviving patients than in survivors (p = 0.005) and significantly correlated with the following inflammatory markers: CRP (r = 0.242, p = 0.001), TNF-α (r = 0.201, p = 0.005), TNF-RII (r = 0.207, p = 0.004), and IL-6 (r = 0.339, p < 0.0001). According to Cox regression analysis of the prediction power of sE-selectin for all-cause mortality, high sE-selectin levels independently and significantly predicted short-term mortality in CHF (HR 1.47, 95% CI 1.103-1.956). Furthermore, sE-selectin predicted mortality in CHFpatients with concomitant diabetes mellitus, as well as simultaneously elevated sE-selectin and NT-proBNP levels additively predicted mortality. CONCLUSIONS: This study demonstrated a weak correlation of sE-selectin level with inflammatory markers and prediction of short-term mortality in diabetic CHFpatients. Elevated serum sE-selectin levels and concomitantly increased NT-proBNP concentrations have additive predictive power in CHF. This suggests that parallel activation of various pathophysiological pathways confers increased risk of adverse outcome in CHF.
Authors: Evgenij V Potapov; Felix Hennig; Frank D Wagner; Hans-Dieter Volk; Ralf Sodian; Harald Hausmann; Hans B Lehmkuhl; Roland Hetzer Journal: Eur J Cardiothorac Surg Date: 2005-05 Impact factor: 4.191
Authors: Sohail Q Khan; Onkar Dhillon; Joachim Struck; Paulene Quinn; Nils G Morgenthaler; Ian B Squire; Joan E Davies; Andreas Bergmann; Leong L Ng Journal: Am Heart J Date: 2007-10 Impact factor: 4.749
Authors: Aun Yeong Chong; Andrew D Blann; Jeetesh Patel; Bethan Freestone; Elizabeth Hughes; Gregory Y H Lip Journal: Circulation Date: 2004-09-13 Impact factor: 29.690
Authors: Tímea Gombos; Zsolt Förhécz; Zoltán Pozsonyi; Gábor Széplaki; Jan Kunde; George Füst; Lívia Jánoskuti; István Karádi; Zoltán Prohászka Journal: Clin Res Cardiol Date: 2012-02-29 Impact factor: 5.460
Authors: Monica Lisi; Matthias Oelze; Saverio Dragoni; Andrew Liuni; Sebastian Steven; Mary-Clare Luca; Dirk Stalleicken; Thomas Münzel; Franco Laghi-Pasini; Andreas Daiber; John D Parker; Tommaso Gori Journal: Clin Res Cardiol Date: 2012-06 Impact factor: 5.460
Authors: Frank van Buuren; Klaus Peter Mellwig; Christian Prinz; Britta Körber; Andreas Fründ; Dirk Fritzsche; Lothar Faber; Tanja Kottmann; Nicola Bogunovic; Johannes Dahm; Dieter Horstkotte Journal: Clin Res Cardiol Date: 2013-04-12 Impact factor: 5.460