Zhou Haiteng, Yao Wenlong, Pan Da, Sun Guiju
Key Laboratory of Environmental Medicine and Engineering Ministry of Education Department of Nutrition and Food Hygiene School of Public Health Southeast University Nanjing China.
Jingjiang People's Hospital Jingjiang China.
Food Sci Nutr. 2021 May 7;9(7):3573-3579. doi: 10.1002/fsn3.2310. eCollection 2021 Jul.
To investigate the ability of phase angle (PA) and body composition for predicting protein energy wasting (PEW) in renal replacement therapy (RRT) patients.
Renal 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.
Sixty-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, respectively. These indicators showed significant association with PEW; meanwhile, the PA and MAC can be used as the predictors for PEW with OR 6.333 (95% CI, 1.956-20.505) and 3.267 (95% CI, 1.136-9.394), respectively. Both groups have a lower BUN/Cr ratio (<20).
In 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.
探讨相位角(PA)和身体成分预测肾替代治疗(RRT)患者蛋白质能量消耗(PEW)的能力。
本研究纳入肾替代治疗(RRT)患者。采用直接节段多频生物电阻抗分析法(DSM-BIA)测量身体成分;获取相位角(PA)、去脂体重(FFM)、脂肪量(FM)、上臂中部周长(MAC)、腰围(WC)以及细胞外液/总体液(ECW/TBW)。检测生化指标(血清白蛋白、甘油三酯和胆固醇)。根据国际肾脏营养与代谢学会(ISRNM)标准对PEW患者进行分类。通过ROC分析计算PA及相关变量的截断值。评估身体成分变量作为预测PEW指标的能力。
本研究共纳入64例患者。33例(52.6%)为男性,40例(62.5%)患者被诊断为PEW。ROC曲线显示,PA、去脂体重指数(FFMI)、MAC、WC和BMI预测PEW风险的最佳截断值分别为4.45°、16.71、29.7 cm、86.4 cm和21.1 kg/m²。这些指标与PEW显著相关;同时,PA和MAC可作为PEW的预测指标,其比值比(OR)分别为6.333(95%可信区间,1.956 - 20.505)和3.267(95%可信区间,1.136 - 9.394)。两组的尿素氮/肌酐比值均较低(<20)。
在RRT患者中,超过60%的患者被诊断为PEW。PA、MAC和其他身体成分可作为预测肾替代治疗肾病患者PEW的独立指标。