Literature DB >> 26424101

The significance of micro- and macrovascular biomarkers on cardiovascular outcome in chronic kidney disease: a prospective cohort study.

O Cseprekál1, J Egresits1,2, Á Tabák1, J Nemcsik3,4, Z Járai5, L Babos5, E Fodor6, K Farkas7, G Godina5, K I Kárpáthi8, L Kerkovits6, A Marton9, Z Nemcsik-Bencze1,10, Z Németh9, L Sallai5, I Kiss6, A Tislér1.   

Abstract

Measures of small and large artery dysfunction have not been investigated in a single cohort for the prediction of cardiovascular (CV) events in patients with nondialysed (ND) chronic kidney disease (CKD). This prospective cohort study aimed to determine whether central pulse wave velocity (cPWV), central pulse pressure (CPP) or microvascular post-occlusive reactive hyperaemia area (PORHHA) independently predict CV events and mortality in CKD-ND. A total of 94 stage 1-5 CKD-ND (65.3±13.1 years; estimated glomerular filtration rate 35.3 (22.8-49.4) ml min(-1) per 1.73 m(2)) patients were followed-up for a median of 52 (36-65) months and had baseline cPWV and CPP measured by applanation tonometry and PORHHA by laser Doppler flowmetry. Multiple failure time Cox regression models were used to determine the predictive role of vascular parameters on CV mortality and events. Based on multiple linear regressions, baseline age, diabetes, CV disease, and systolic blood pressure (SBP) were independently related to cPWV (R(2)=0.3), SBP and PORHHA to CPP (R(2)=0.45), whereas CPP was the only parameter independently related to PORHHA (R(2)=0.16, all P<0.05). During follow-up, 41 CV events occurred (14 CV deaths). In univariate analyses, cPWV (1.07 (1.02-1.13) per m s(-1)), CPP (1.04 (1.01-1.07) per mm Hg) and lnPORHHA (0.70 (0.58-0.85) per ln(PU × s)) were all related to the outcome. Baseline diabetes (HR 3.07 (1.65-5.68)), lnFGF23 (fibroblast growth factor-23; 1.86 (1.13-3.06) per RU ml(-1)) and CPP (1.04 (1.01-1.07) per mm Hg) were independent predictors of CV events. The impaired pulsatile component of large arteries (CPP) independently of other vascular markers (cPWV, PORHHA) predicted CV outcomes in CKD-ND. CPP may integrate the information provided by cPWV and PORHHA.

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Year:  2015        PMID: 26424101     DOI: 10.1038/jhh.2015.96

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  32 in total

1.  Markers of arterial stiffness are risk factors for progression to end-stage renal disease among patients with chronic kidney disease stages 4 and 5.

Authors:  Maarten W Taal; Mhairi K Sigrist; Apostolos Fakis; Richard J Fluck; Christopher W McIntyre
Journal:  Nephron Clin Pract       Date:  2007-11-01

Review 2.  Arterial stiffness: methods of measurement, physiologic determinants and prediction of cardiovascular outcomes.

Authors:  Satoru Sakuragi; Walter P Abhayaratna
Journal:  Int J Cardiol       Date:  2009-05-27       Impact factor: 4.164

Review 3.  Current concepts in assessment of microvascular endothelial function using laser Doppler imaging and iontophoresis.

Authors:  Jamie Turner; Jill J F Belch; Faisel Khan
Journal:  Trends Cardiovasc Med       Date:  2008-05       Impact factor: 6.677

4.  Fibroblast growth factor 23 and risk of all-cause mortality and cardiovascular events: a meta-analysis of prospective cohort studies.

Authors:  Yunjun Xiao; Xianru Luo; Wei Huang; Jinzhou Zhang; Chaoqiong Peng
Journal:  Int J Cardiol       Date:  2014-04-22       Impact factor: 4.164

5.  Which parameter is better to define endothelial dysfunction in a test of postocclusive hyperemia measured by laser-Doppler flowmetry?

Authors:  Pablo Stiefel; Rafael Moreno-Luna; Antonio J Vallejo-Vaz; Luis M Beltrán; Alzenira Costa; Luis Gómez; Antonio Ordóñez; José Villar
Journal:  Coron Artery Dis       Date:  2012-01       Impact factor: 1.439

6.  Central pulse pressure and mortality in end-stage renal disease.

Authors:  Michel E Safar; Jacques Blacher; Bruno Pannier; Alain P Guerin; Sylvain J Marchais; Pierre-Marie Guyonvarc'h; Gérard M London
Journal:  Hypertension       Date:  2002-03-01       Impact factor: 10.190

7.  Impact of aortic stiffness on survival in end-stage renal disease.

Authors:  J Blacher; A P Guerin; B Pannier; S J Marchais; M E Safar; G M London
Journal:  Circulation       Date:  1999-05-11       Impact factor: 29.690

8.  Dominance of traditional cardiovascular risk factors over renal function in predicting arterial stiffness in subjects with chronic kidney disease.

Authors:  David Sengstock; Robin L Sands; Brenda W Gillespie; Xiaotong Zhang; Margaret Kiser; George Eisele; Peter Vaitkevicius; Martin Kuhlmann; Nathan W Levin; Alan Hinderliter; Sanjay Rajagopalan; Rajiv Saran
Journal:  Nephrol Dial Transplant       Date:  2009-10-23       Impact factor: 5.992

9.  Peripheral microvascular dysfunction as an independent predictor of atherosclerotic damage in type 1 diabetes patients: a preliminary study.

Authors:  Marco Rossi; Elena Matteucci; Margherita Pesce; Cristina Consani; Ferdinando Franzoni; Gino Santoro; Ottavio Giampietro
Journal:  Clin Hemorheol Microcirc       Date:  2013       Impact factor: 2.375

Review 10.  Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjects.

Authors:  Yoav Ben-Shlomo; Melissa Spears; Chris Boustred; Margaret May; Simon G Anderson; Emelia J Benjamin; Pierre Boutouyrie; James Cameron; Chen-Huan Chen; J Kennedy Cruickshank; Shih-Jen Hwang; Edward G Lakatta; Stephane Laurent; João Maldonado; Gary F Mitchell; Samer S Najjar; Anne B Newman; Mitsuru Ohishi; Bruno Pannier; Telmo Pereira; Ramachandran S Vasan; Tomoki Shokawa; Kim Sutton-Tyrell; Francis Verbeke; Kang-Ling Wang; David J Webb; Tine Willum Hansen; Sophia Zoungas; Carmel M McEniery; John R Cockcroft; Ian B Wilkinson
Journal:  J Am Coll Cardiol       Date:  2013-11-13       Impact factor: 24.094

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