Fat tissue and inflammation in patients undergoing peritoneal dialysis

Abraham Rincón Bello(Hospital General Universitario Gregorio Marañón), Laura Bucalo(Hospital General Universitario Gregorio Marañón), Soraya Abad Estébanez(Hospital General Universitario Gregorio Marañón), Almudena Vega Martínez(Hospital General Universitario Gregorio Marañón), Daniel Barraca Núñez(Hospital General Universitario Gregorio Marañón), Claudia Yuste Lozano(Hospital General Universitario Gregorio Marañón), Ana Pérez de José(Hospital General Universitario Gregorio Marañón), Juan M. López–Gómez(Hospital General Universitario Gregorio Marañón)
Clinical Kidney Journal
March 24, 2016
Cited by 24Open Access
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Abstract

BACKGROUND: Body weight has been increasing in the general population and is an established risk factor for hypertension, diabetes, and all-cause and cardiovascular mortality. Patients undergoing peritoneal dialysis (PD) gain weight, mainly during the first months of treatment. The aim of this study was to assess the relationship between body composition and metabolic and inflammatory status in patients undergoing PD. METHODS: This was a prospective, non-interventional study of prevalent patients receiving PD. Body composition was studied every 3 months using bioelectrical impedance (BCM(®)). We performed linear regression for each patient, including all BCM(®) measurements, to calculate annual changes in body composition. Thirty-one patients in our PD unit met the inclusion criteria. RESULTS: Median follow-up was 26 (range 17-27) months. Mean increase in weight was 1.8 ± 2.8 kg/year. However, BCM(®) analysis revealed a mean increase in fat mass of 3.0 ± 3.2 kg/year with a loss of lean mass of 2.3 ± 4.1 kg/year during follow-up. The increase in fat mass was associated with the conicity index, suggesting that increases in fat mass are based mainly on abdominal adipose tissue. Changes in fat mass were directly associated with inflammation parameters such as C-reactive protein (r = 0.382, P = 0.045) and inversely associated with high-density lipoprotein cholesterol (r=-0.50, P = 0.008). CONCLUSIONS: Follow-up of weight and body mass index can underestimate the fat mass increase and miss lean mass loss. The increase in fat mass is associated with proinflammatory state and alteration in lipid profile.


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