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Crina-Claudia Rusu, Simona Racasan, Ina-Maria Kacso, Diana Moldovan, Alina Potra, Cosmina Bondor, Remus Orasan, Ioan Mihai Patiu, Cristian Budurea, Dacian Tirinescu, Maria Ticala, Anca Coman, Alexandra Danu, SP396
LEPTIN AND NUTRITIONAL MARKERS IN HEMODIALYSIS PATIENTS, Nephrology Dialysis Transplantation, Volume 33, Issue suppl_1, May 2018, Page i480, https://doi.org/10.1093/ndt/gfy104.SP396 - Share Icon Share
INTRODUCTION AND AIMS: Leptin is an adipokine and anorexigenic hormone, which also seems to have a pro-atherogenic effect and to participate in the development of hypertension, of oxidative stress and of endothelial dysfunction. Measuring and control of leptin-related factors may thus influence cardiovascular pathology in HD patients. Current data on factors related to serum leptin levels in chronic HD are inconsistent. Aim: to evaluate leptin levels in HD patients.
METHODS: We conducted a cross-sectional study that included 88 HD patients, with a mean age of 61.1±13.5 years, 20% of them being diabetic. We evaluated how leptin correlates with markers of inflammation, nutrition, dyslipidemia and other markers. We subsequently determined the strongest predictor for the leptin levels.
RESULTS: Levels of leptin were correlated with age (r=0.21 p=0.049), nutritional markers like body mass index (r=0.70, p<0.001), abdominal circumference (r=0.50 p<0.001), fat tissue mass (r=0.69 p<0,001) and lean tissue mass (r= -0.35 p<0.001), dyslipidemia markers like total cholesterol (r=0.27 p=0.01), LDL-cholesterol (r=0.22 p=0.04) and triglycerides (r = 0.23 p=0.03) and inflammatory markers like CRP (r=0.28 p=0.01), WBC (r=0.25 p=0.02) and with iPTH (r= -0.22 p=0.02). Body mass index was the most significant predictor of leptin levels in the multivariate linear regression analysis (p=0.009).
CONCLUSIONS: In our HD patients leptin correlates with nutritional and inflammatory markers, with the strongest predictor of leptin levels being body mass index. Acknowledgement: This project is supported by a grant of the Romanian National Authority for Scientific Research CNCSIS - UEFISCDI, project number PN- II- RU-TE-2014-4-1819.
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