Nemcsik, J; Cseprekál, O; Egresits, J; Kielstein, J; Kümpers, P; Lukasz, A; Tabák, Á; ... Tislér, A; + view all Nemcsik, J; Cseprekál, O; Egresits, J; Kielstein, J; Kümpers, P; Lukasz, A; Tabák, Á; Marton, A; Németh, ZK; Járai, Z; Godina, G; Sallai, L; Farkas, K; Kiss, I; Tislér, A; - view fewer (2017) The role of laser Doppler flowmetry tests, serum angiopoietin-2, asymmetric and symmetric dimethylarginine to predict outcome in chronic kidney disease. Journal of Hypertension , 35 (5) pp. 1109-1118. 10.1097/HJH.0000000000001256.

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Abstract

OBJECTIVE: The role of biochemical and functional markers of microvascular dysfunction to predict cardiovascular outcomes in nondialyzed chronic kidney disease (CKD) remains unclear. In this prospective cohort study, we assessed whether biochemical [serum level of angiopoietin-2 (Ang-2), asymmetric and symmetric dimethylarginin] and functional (laser Doppler flowmetry) measures of microvascular function predicted cardiovascular events, cardiovascular and all-cause mortality in CKD patients. METHODS: Postocclusive reactive hyperemia area (PORHHA), acetylcholine and sodium nitroprusside-mediated flow changes were estimated by laser Doppler flowmetry, and Ang-2, asymmetric and symmetric dimethylarginin were assessed in 105 CKD patients at baseline. Multiple failure time Cox-regression analyses with backward elimination were performed to determine the predictors of the combined endpoint of cardiovascular mortality and cardiovascular events or all-cause mortality and cardiovascular events during a median of 66.6 (interquartile range 39.8-80.4) months of follow-up. RESULTS: In univariate models lnAng-2 and lnPORHHA both predicted the cardiovascular outcome besides age, diabetes, baseline cardiovascular disease, brachial pulse pressure and log C-reactive protein. In multivariate analysis lnPORHHA [hazard ratio: 0.66 (95% confidence interval: 0.49-0.89) per ln(mU s)], age [1.03 (1.01-1.06) per year], log C-reactive protein [1.31 (1.06-1.64) per ln(mg/l)] and diabetes [3.33 (1.70-6.53)] remained significant predictors of the cardiovascular outcome, whereas lnAng-2 did not enter the model. Neither of the microvascular variables were an independent predictor of all-cause mortality and cardiovascular events. CONCLUSION: Among the functional and biochemical microvascular parameters PORHHA seems to improve cardiovascular risk assessment in CKD. Nevertheless the robustness of traditional risk factors seems to outweigh the role of microvascular biomarkers on all-cause mortality and cardiovascular events at this time.

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