ArticleFood science & nutrition2021
Predicational ability of phase angle on protein energy wasting in kidney disease patients with renal replacement therapy: A cross-sectional study.
Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Review
- Phase angle is a useful predicting indicator for protein-energy wasting and cardiovascular risk among maintenance hemodialysis patients.Scientific reports · 2024Observational
- The ability of phase angle and body composition to predict risk of death in maintenance hemodialysis patients.International urology and nephrology · 2024Article
- Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review.Journal of clinical medicine · 2023Review
- Simply adding oral nutritional supplementation to haemodialysis patients may not be enough: a real-life prospective interventional study.Frontiers in nutrition · 2023Article
- An updated clinical prediction model of protein-energy wasting for hemodialysis patients.Frontiers in nutrition · 2022Article
- Bioelectrical Impedance Analysis Derived-Phase Angle as a Pragmatic Tool to Detect Protein Energy Wasting among Multi-Ethnic Hemodialysis Patients.Diagnostics (Basel, Switzerland) · 2021Article
- Predicational ability of phase angle on protein energy wasting in kidney disease patients with renal replacement therapy: A cross-sectional study.Food science & nutrition · 2021Article
- Bioimpedanciometry in nutritional and hydration assessments in a single dialysis center.Jornal brasileiro de nefrologiaObservational
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Authors and funding
4 authors.
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Abstract
objectiveTo investigate the ability of phase angle (PA) and body composition for predicting protein energy wasting (PEW) in renal replacement therapy (RRT) patients.
methodsRenal replacement therapy (RRT) patients were enrolled in this study. Body composition was measured by direct segmental multi-frequency biolectrical impedance analysis method (DSM-BIA); phase angle (PA), fat-free mass (FFM), fat mass (FM), mid-arm circumference (MAC), WC (waist circumference), and ECW/TBW (extracellular water/total body water) were obtained. Biochemicals (serum albumin, triglyceride, and cholesterol) were tested. PEW patients were classified according to ISRNM (The International Society of Renal Nutrition and Metabolism) criteria. Cutoff value of PA and related variables was calculated by ROC analysis. The ability of body composition variables as indicators to predict PEW was evaluated.
resultsSixty-four patients were enrolled in this study. Thirty-three patients (52.6%) were males, and forty (62.5%) patients were diagnosed with PEW. The ROC curve showed that the optimal cutoff values of PA, FFMI (fat-free mass index), MAC, WC, and BMI for PEW risk were 4.45°, 16.71, 29.7 cm, 86.4 cm, and 21.1 kg/m
conclusionIn the RRT patients, over than 60% patients were diagnosed with PEW. PA, MAC, and other body composition can be used as the independent indicators for predicting PEW in renal replacement therapy kidney disease patients.
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