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Search: L773:1051 2276 > (2015-2019)

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  • Kopple, JD, et al. (author)
  • Author's Reply to Letter to the Editor
  • 2017
  • In: Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation. - : Elsevier BV. - 1532-8503. ; 27:6, s. 445-446
  • Journal article (other academic/artistic)
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  • Xu, Hong, et al. (author)
  • Circulating alpha-tocopherol and insulin sensitivity among older men with chronic kidney disease
  • 2016
  • In: Journal of renal nutrition (Print). - : Elsevier BV. - 1051-2276 .- 1532-8503. ; 26:3, s. 177-182
  • Journal article (peer-reviewed)abstract
    • Objective: Insulin resistance is common in individuals with chronic kidney disease (CKD) and may be partly explained by modifiable risk factors. In the general population, vitamin E supplementation has been suggested to improve both insulin sensitivity and secretion. We here explore the potential role of vitamin E as a modifiable risk factor for insulin resistance among individuals with CKD.Design: Observational study.Setting: A total of 273 nondiabetic men aged 70 to 71 years with CKD defined as either cystatin C estimated glomerular filtration rate < 60 mL/minute/1.73 m2 or urinary albumin excretion rate ≥ 20 mg/minute from the third examination cycle of Uppsala Longitudinal Study of Adult Men.Subjects: A total of 273 nondiabetic men aged 70 to 71 years with CKD defined as either cystatin C estimated glomerular filtration rate < 60 mL/minute/1.73 m2 or urinary albumin excretion rate ≥ 20 μg/minute.Methods: Serum α-, β-, and γ-tocopherol concentrations were measured by high-performance liquid chromatography and expressed as μmol/total serum cholesterol and triglycerides (in mmol). Dietary vitamin E intake was estimated from 7-day food records.Main Outcome Measure: Insulin sensitivity index (M/I ratio) was measured by hyperinsulinemic-euglycemic glucose clamps. Univariate and multivariate regression models were fitted to assess the association between M/I and circulating concentrations of tocopherols.Results: The mean serum concentration of α-, β-, and γ- was 37.4 ± 6.58, 0.89 ± 0.23, and 4.32 ± 1.69 μmol/mmol, respectively. Median dietary vitamin E intake was 6.14 (interquartile range, 5.48-6.82) mg/day. In crude and fully-adjusted multivariate regression analyses, serum α-tocopherol levels were directly and strongly associated with M/I (standard β = 0.17, P = .003). No such association was observed for dietary vitamin E, serum β-, and γ-tocopherol concentrations.Conclusions: Serum α-tocopherol concentration associates with insulin sensitivity in nondiabetic older men with CKD. 
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  • Zhou, Yunan, et al. (author)
  • Comparison of DEXA and Bioimpedance for Body Composition Measurements in Nondialysis Patients With CKD
  • 2019
  • In: Journal of Renal Nutrition. - : Elsevier BV. - 1051-2276. ; 29:1, s. 33-38
  • Journal article (peer-reviewed)abstract
    • Objectives: The aims of this study are (1) to compare dual-energy X-ray absorptiometry (DEXA) and bioimpedance for body composition measurements in nondialysis patients with chronic kidney disease, and (2) to investigate factors associated with any measurement differences. Design and Methods: This is a substudy using some baseline data from a randomized controlled clinical trial. One hundred twenty patients (aged 65 ± 14 years) with a measured glomerular filtration rate 8 to 55 mL/min/1.73m2, not on renal replacement therapy, irrespective of age and number of comorbidities, were included from 2011 to 2016. For DEXA measurements, Lunar Prodigy or Lunar iDXA were used. For bioimpedance measurements, body composition monitor (BCM) was used. Glomerular filtration rate was measured with iohexol clearance. Data were analyzed using R software. Bland-Altman analysis was performed to compare the 2 measurements. The measurement difference was DEXA minus BCM. Multiple linear regression analysis was performed to analyze relationships between variables. Results: The estimation of fat-free mass was higher using BCM than DEXA, with a mean difference of −2.8 kg and limits of agreement (mean ± 2 SD) ranging from −12 kg to 6.5 kg. The estimation of fat mass was lower using BCM than DEXA, with a mean difference of 3.1 kg and limits of agreement (mean ± 2 SD) ranging from −6.8 kg to 13 kg. The measurement differences were significantly related to lean tissue index, fat tissue index, extracellular water, intracellular water, extracellular water/intracellular water, total body water, and overhydration. Conclusion: Our study showed a limited agreement between DEXA and bioimpedance, indicating that these 2 measurements are not interchangeable in nondialysis patients with chronic kidney disease. Lean tissue index, fat tissue index, and body water might contribute to the measurement differences, while measured glomerular filtration rate is not a factor associated with the measurement differences for body composition. Thus, we suggest that the same measure of body composition be used over time.
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