2007
Neurohumoral activity, heart failure and prognosis in patients with end-stage renal disease treated by hemodialysis.
ŠPINAR, Jindřich, Ondřej LUDKA, Ladislav DUŠEK, Dorota SOBOTOVÁ, Lenka ŠPINAROVÁ et. al.Základní údaje
Originální název
Neurohumoral activity, heart failure and prognosis in patients with end-stage renal disease treated by hemodialysis.
Název česky
Neurohumoral activity, heart failure and prognosis in patients with end-stage renal disease treated by hemodialysis.
Autoři
ŠPINAR, Jindřich (203 Česká republika, garant), Ondřej LUDKA (203 Česká republika), Ladislav DUŠEK (203 Česká republika), Dorota SOBOTOVÁ (203 Česká republika) a Lenka ŠPINAROVÁ (203 Česká republika)
Vydání
Kidney Blood Press res, 2007, 1420-4096
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30201 Cardiac and Cardiovascular systems
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.092
Kód RIV
RIV/00216224:14110/07:00032953
Organizační jednotka
Lékařská fakulta
UT WoS
000249306000012
Klíčová slova anglicky
neurohumoral activity; heart failure; end-stage renal disease; hemodialysis
Změněno: 1. 4. 2010 09:19, prof. RNDr. Ladislav Dušek, Ph.D.
V originále
Background: Chronic renal failure treated by regular hemodialysis is frequently accompanied by chronic heart failure; the mortality of both is high. Aim: To evaluate the role of markers of neurohumoral activation for the prognosis of patients treated with regular dialysis. Patients: 99 patients with end-stage renal disease were followed up for 3 years. Methods: Clinical evaluation, echocardiography, biochemistry including NT-proBNP and big endothelin (Big-ET). Results: The incidence of heart failure was 97% and the 3-year mortality was 50%. The sensitivity of NT-proBNP and Big-ET level for the prediction of death was 0.712 and 0.824, respectively, and specificity 0.642 and 0.695, respectively. The cutoff points were NT-proBNP 6 2,000 pg/ml and Big-ET >= 1.55 pmol/l. Neither NT-proBNP nor Big-ET could be incorporated in the multivariate model for overall survival, which means that although both parameters significantly influenced overall survival as single risk factors, they were not effective in competition with the other significant predictors. Conclusion: Overall survival seems to be influenced namely by age, hemoglobin, left atrium diameter or pulmonary congestion class on chest X-ray, while probability of early risk was associated with Big-ET, history of diabetes mellitus, C-reactive protein, uric acid and hemoglobin. The only intersection of the models is hemoglobin as a thoroughly significant predictor. Copyright (c) 2007 S. Karger AG, Basel.
Česky
Background: Chronic renal failure treated by regular hemodialysis is frequently accompanied by chronic heart failure; the mortality of both is high. Aim: To evaluate the role of markers of neurohumoral activation for the prognosis of patients treated with regular dialysis. Patients: 99 patients with end-stage renal disease were followed up for 3 years. Methods: Clinical evaluation, echocardiography, biochemistry including NT-proBNP and big endothelin (Big-ET). Results: The incidence of heart failure was 97% and the 3-year mortality was 50%. The sensitivity of NT-proBNP and Big-ET level for the prediction of death was 0.712 and 0.824, respectively, and specificity 0.642 and 0.695, respectively. The cutoff points were NT-proBNP 6 2,000 pg/ml and Big-ET >= 1.55 pmol/l. Neither NT-proBNP nor Big-ET could be incorporated in the multivariate model for overall survival, which means that although both parameters significantly influenced overall survival as single risk factors, they were not effective in competition with the other significant predictors. Conclusion: Overall survival seems to be influenced namely by age, hemoglobin, left atrium diameter or pulmonary congestion class on chest X-ray, while probability of early risk was associated with Big-ET, history of diabetes mellitus, C-reactive protein, uric acid and hemoglobin. The only intersection of the models is hemoglobin as a thoroughly significant predictor. Copyright (c) 2007 S. Karger AG, Basel.
Návaznosti
MSM0021622402, záměr |
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