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Titolo	Coronary Calcifications in End-Stage Renal Disease Patients: A New Link between Osteoprotegerin, Diabetes and Body Mass Index?
Autore	Giuseppe Cianciolo a Gaetano La Manna a Gabriele Donati a Elisa Persici a Ada Dormi b Maria Laura Cappuccilli a Serena Corsini a Rossella Fattori c Vincenzo Russo c Valentina Nastasi a Luigi Colì a Marylou Wratten a Sergio Stefoni a - a Nephrology Dialysis and Renal Transplantation Unit, S. Orsola University Hospital, b Department of Internal Medicine, Aging and Renal Diseases, University of Bologna, c Cardiac Surgery and Cardiovascular Radiology Unit, Cardiothoracovascular Department, S. Orsola University Hospital, Bologna , Italy
Referenza	Blood Purif 2010; 29:13-22
Contenuto	The aim of the study was to assess the factors potentially involved in coronary artery calcifications (CAC) in end-stage renal disease patients. 253 hemodialysis (HD) patients (92 females, 161 males), aged 62.5 8 13.5, who had been on HD treatment for at least 6 months, were enrolled in a cross-sectional study. Calcium-phosphate product (Ca ! P), body mass index (BMI), fetuin-A, osteoprotegerin (OPG), osteopontin, transforming growth factor- _ 1 (TGF- _ 1), fibroblast growth factor-23 (FGF-23) and matrix Gla protein (MGP) were considered. CAC was assessed using multislice spiral computed tomography and calcium score was quantified by means of the Agatston score. The median calcium score was 364 Agatston (range 0-7,336). CAC was detected in 228/253 patients (90.1%). Multivariate regression analysis, adjusted for age and for dialysis vintage, showed that TGF- _ 1, OPG and days with Ca ! P 1 55 mg/dl are independent predictors of CAC, while MGP was shown to be a protective factor. Surprisingly, results showed that BMI was a protective factor too: the interpolation with cubic spline function revealed a significant reduction in calcium score in patients with a high BMI ( 1 28). However, when diabetes was considered in the regression analysis, only OPG emerged as a predictor of a high CAC score. The interpolation with spline function continued to show a significant reduction in CAC score in nondiabetic and in diabetic patients with the highest BMI quartile. The protective effect of a high BMI on CAC might represent another example of inverse biology in dialysis patients but it needs to be further addressed in larger longitudinal studies.
Data	21.10.2009

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