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BACKGROUND Pomegranate has antioxidant, cardioprotective and anti‐inflammatory properties. We designed a crossover study aimed at determining if consumption of pomegranate juice (PJ) improves lipid profile and oxidative and inflammatory biomarkers of hemodialysis patients. Forty‐one hemodialysis patients were randomly assigned to one of two groups: PJ‐treated group receiving 100 mL of natural PJ immediately after their dialysis session three times a week and the control group receiving the usual care. After 8 weeks, a 4‐week washout period was established and then the role of the groups was exchanged. Lipid profile, blood pressure and oxidative and inflammatory biomarkers were measured before and after each sequence. RESULTS Based on the results of intention‐to‐treat analysis, triglycerides were decreased in PJ condition and increased in the controls. Conversely, high‐density lipoprotein cholesterol was increased in PJ and decreased in the control group. Total and low‐density lipoprotein cholesterol did not significantly change in either condition. Systolic and diastolic blood pressure significantly decreased in PJ condition. Total antioxidant capacity increased in PJ condition (P < 0.001) and decreased in the controls (P < 0.001). Conversely, malondialdehyde and interleukin‐6 decreased in PJ (P < 0.001) and increased in the control group (P ≤ 0.001). The changes of these biomarkers were significantly different between the two conditions. CONCLUSIONS Eight‐week PJ consumption showed beneficial effects on blood pressure, serum triglycerides, high‐density lipoprotein cholesterol, oxidative stress and inflammation in hemodialysis patients. © 2019 Society of Chemical Industry

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Background:Malnutrition, inflammation and poor quality of life are prevalent among hemodialysis (HD) patients. Health-related quality of life is an important determinant of hospitalization and mortality in HD patients.Objectives:The aim of this study was to assess the correlation between quality of life and malnutrition-inflammation status according to subjective global assessment (SGA) and malnutrition-inflammation scores (MIS) in HD patients.Patients and Methods:We randomly selected 87 of 180 stable HD patients from two HD centers. Those on hemodialysis for at least three months and with malnutrition according to the SGA scores were included in this study. They were divided into two groups of mild to moderate malnutrition (n = 39) and severe malnutrition (n = 49) based on the SGA scores. Serum levels of transferrin, albumin, blood urea nitrogen, creatinine, kt/v, body mass index and malnutrition-inflammation scores were measured in all patients. Health-related quality of life was assessed by validated short form-12 (SF-12) questionnaire for each patient. These values were compared between the two groups of patients by independent sample t-test and Mann-Whitney U test. The correlations of nutritional variables with SGA and MIS scores were determined by Pearson and Spearman correlation tests.Results:There were no differences in measured parameters between the two groups except for MIS scores. Those with severe malnutrition showed higher MIS scores. All quality of life aspects and total scores (PCS, MCS) (rather than social functioning (SF) aspect) were significantly different between the two groups, which showed lower physical and mental scores in severely-malnourished patients. Physical functioning (PF), role limitations due to physical heath (RP), general health (GH), mental health (MH), SF, role limitation due to emotional health (RE), vitality (VT) aspects and total scores (PCS and MCS) had negative significant correlations with MIS and SGA scores (All P values < 0.05). No correlation was found between MIS and SGA scores and other measured variables.Conclusions:This study focused on important effects of malnutrition and inflammation on health-related quality of life aspects, both physically and mentally in HD patients. SGA and MIS are highly correlated with quality of life in HD patients.

PCS with its large scale and wealth of socio-economic and medical data can be a unique platform for studying the etiology of non-communicable diseases and effective interventions in Iran.

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