Osteoprotegerin in Chronic Kidney Disease: Associations with Vascular Damage and Cardiovascular Events

被引:0
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作者
Mahmut Ilker Yilmaz
Dimitrie Siriopol
Mutlu Saglam
Hilmi Umut Unal
Murat Karaman
Mustafa Gezer
Ali Kilinc
Tayfun Eyileten
Ahmet Kerem Guler
İbrahim Aydin
Abdulgaffar Vural
Yusuf Oguz
Adrian Covic
Alberto Ortiz
Mehmet Kanbay
机构
[1] Gülhane School of Medicine,Department of Nephrology
[2] ‘Grigore T. Popa’ University of Medicine,Nephrology Clinic, Dialysis and Renal Transplant Center, ‘C.I. PARHON’ University Hospital
[3] Gülhane School of Medicine,Department of Radiology
[4] Gülhane School of Medicine,Department of Biochemistry
[5] IIS-Fundacion Jimenez Diaz and School of Medicine,Nephrology and Hypertension Department
[6] Koc University School of Medicine,Division of Nephrology, Department of Medicine
来源
关键词
Biomarker; Osteoprotegerin; Inflammation; Kidney disease; Cardiovascular disease;
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摘要
Vascular injury and dysfunction contribute to cardiovascular disease, the leading cause of death in patients with chronic kidney disease (CKD). Osteoprotegerin (OPG) is a soluble member of the tumor necrosis factor receptor superfamily that has been linked to atherogenesis and endothelial dysfunction. Elevated circulating OPG levels predict future cardiovascular events (CVE). Our aim was to evaluate the determinants of circulating OPG levels, to investigate the relationship between OPG and markers of vascular damage and to test whether OPG improves risk stratification for future CVE beyond traditional and renal-specific risk factors in a CKD population. 291 patients with CKD stage 1–5 not on dialysis were included in the study. In the multivariate analysis, OPG was a significant predictor for flow-mediated dilatation, but not for carotid intima media thickness levels. During follow-up (median 36 months, IQR = 32–42 months), 87 patients had CVE. In the Cox survival analysis, OPG levels were independently associated with CVE even after adjustment for traditional and renal-specific cardiovascular risk factors. The addition of OPG to a model based on commonly used cardiovascular factors significantly improved the reclassification abilities of the model for predicting CVE. We show for the first time that OPG improves risk stratification for CVE in a non-dialysis CKD population, above and beyond a model with established traditional and renal-specific cardiovascular risk factors, including estimated glomerular filtration rate and fibroblast growth factor 23.
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页码:121 / 130
页数:9
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