BACKGROUNDS: Cardiovascular disease is reported to be major cause of mortality in dialysis patients. Multimarker approach is new approach in risk stratification. Creating a common predictive value, many different pathophysiological components are covered. The aim of this study was to examine the combined predictive value of markers of endothelial dysfunction (ADMA), inflammation (CRP, SAA) and malnutrition (albumin) in dialysis patients. METHODS: In this prospective 3-year follow-up study, 153 prevalent patients (105 males and 48 females) on hemodialysis were included. ADMA were measured by HPLC; CRP and SAA were measured using immunonephelometric assays. Albumins were measured by the use of standard methods on the automated analyzer. The patients were stratified into five groups based on the presence of 1, 2, and 3 or more risk markers, respectively, namely high ADMA (≥0.49 μmol/L), high CRP (≥6.0 mg/L), high SAA (≥7.6 mg/L) and low albumin (<30.3 g/L). RESULTS: The patients with 1, 2, 3 or more risk markers had an adjusted hazard ratio (HR) of 2.419 (0.728-8.034), 6.720 (2.100-21.503), 10.455 (3.193-24.227), respectively, for mortality, compared to those without risk markers. The patients with 1, 2, 3 or more risk markers had an adjusted HR of 1.838 (0.307-11.006), 9.924 (2.052-28.003), 14.823 (0.2.962-34.189), respectively, for cardiovascular mortality than those without risk markers. CONCLUSIONS: The results of this study demonstrate that the common predictive value of several markers is higher than individual predictive value of examined risk factors. Patients with multiple risk factors had higher mortality. Multimarker approach provides an opportunity for better risk stratification in dialysis patients.
BACKGROUNDS: Cardiovascular disease is reported to be major cause of mortality in dialysis patients. Multimarker approach is new approach in risk stratification. Creating a common predictive value, many different pathophysiological components are covered. The aim of this study was to examine the combined predictive value of markers of endothelial dysfunction (ADMA), inflammation (CRP, SAA) and malnutrition (albumin) in dialysis patients. METHODS: In this prospective 3-year follow-up study, 153 prevalent patients (105 males and 48 females) on hemodialysis were included. ADMA were measured by HPLC; CRP and SAA were measured using immunonephelometric assays. Albumins were measured by the use of standard methods on the automated analyzer. The patients were stratified into five groups based on the presence of 1, 2, and 3 or more risk markers, respectively, namely high ADMA (≥0.49 μmol/L), high CRP (≥6.0 mg/L), high SAA (≥7.6 mg/L) and low albumin (<30.3 g/L). RESULTS: The patients with 1, 2, 3 or more risk markers had an adjusted hazard ratio (HR) of 2.419 (0.728-8.034), 6.720 (2.100-21.503), 10.455 (3.193-24.227), respectively, for mortality, compared to those without risk markers. The patients with 1, 2, 3 or more risk markers had an adjusted HR of 1.838 (0.307-11.006), 9.924 (2.052-28.003), 14.823 (0.2.962-34.189), respectively, for cardiovascular mortality than those without risk markers. CONCLUSIONS: The results of this study demonstrate that the common predictive value of several markers is higher than individual predictive value of examined risk factors. Patients with multiple risk factors had higher mortality. Multimarker approach provides an opportunity for better risk stratification in dialysis patients.
Authors: Francesca Mallamaci; Giovanni Tripepi; Sebastiano Cutrupi; Lorenzo S Malatino; Carmine Zoccali Journal: Kidney Int Date: 2005-06 Impact factor: 10.612
Authors: Tatjana P Cvetkovic; Nikola Z Stefanovic; Radmila M Velickovic-Radovanovic; Goran J Paunovic; Vidojko M Djordjevic; Dijana R Stojanovic; Ivana R Stojanovic; Dusica D Pavlovic Journal: Int Urol Nephrol Date: 2013-10-08 Impact factor: 2.370
Authors: Peter Willeit; Daniel F Freitag; Jari A Laukkanen; Susmita Chowdhury; Reeta Gobin; Manuel Mayr; Emanuele Di Angelantonio; Rajiv Chowdhury Journal: J Am Heart Assoc Date: 2015-05-28 Impact factor: 5.501
Authors: Tatjana Cvetković; Radmila Veličković-Radovanović; Dijana Stojanović; Nikola Stefanović; Aleksandra Ignjatović; Ivana Stojanović; Nikola Sladojević; Dušica Pavlović Journal: J Med Biochem Date: 2015-07-14 Impact factor: 3.402