Leal Escobar Gabriela, Osuna Padilla Iván Armando, Cano Escobar Karla Berenice, Moguel González Bernardo, Pérez Grovas Héctor Alejandro, Ruiz Ubaldo Silvia
Department de Nephrology. Instituto Nacional de Cardiología "Ignacio Chávez".
Centro de Investigación en Enfermedades Infecciosas. Instituto Nacional de Enfermedades Respiratorias.
Nutr Hosp. 2019 Jul 1;36(3):633-639. doi: 10.20960/nh.2463.
Objective: to analyze the association between phase angle (PA) and mid arm circumference (MAC) with protein energy wasting (PEW) in renal replacement therapy (RRT) patients. Methods: cross-sectional study. Hemodiafiltration (HDF) and automated peritoneal dialysis (PD) patients were enrolled in the study. MAC and body composition were measured using impedance bioelectric (BIA); PA, fat free mass (FFM), fat mass (FM) and ECW/TBW were obtained. Biochemical (serum albumin and cholesterol) and dietary data (energy and protein intake) were collected. Body mass index (BMI) was calculated. Patients were classified with PEW according to ISRNM criteria (low BMI, low albumin or cholesterol concentrations, low muscle mass and overhydration). Cut-off point of PA and MAC was obtained by ROC analysis. Logistic regression analysis was applied to evaluate the ability of both indicators to predict PEW. Results: sixty-nine patients were included in the study. Fifty-two (52%) were female. Thirty-nine (39%) patients had PEW. The ROC curve reveals that the optimal PA cut-off value for malnutrition risk was 4.64° with 77.8% sensitivity and 76.2% specificity. For MAC, a cut-off value of 29.6 cm shows a sensitivity of 66.6% and specificity of 69.0%. Both indicators showed significant association to PEW after multivariate adjustment. Conclusion: PEW is present almost in 39% of the RRT patients. PA and MAC are useful, simple and independents indicators for predicting PEW in Chronic Kidney disease patients on RRT.
分析肾替代治疗(RRT)患者的相角(PA)和上臂围(MAC)与蛋白质能量消耗(PEW)之间的关联。方法:横断面研究。纳入血液透析滤过(HDF)和自动腹膜透析(PD)患者。使用生物电阻抗分析法(BIA)测量MAC和身体成分;获取PA、去脂体重(FFM)、脂肪量(FM)和细胞外液/总体液(ECW/TBW)。收集生化指标(血清白蛋白和胆固醇)和饮食数据(能量和蛋白质摄入量)。计算体重指数(BMI)。根据国际肾脏营养与代谢学会(ISRNM)标准(低BMI、低白蛋白或胆固醇浓度、低肌肉量和水过多)对患者进行PEW分类。通过ROC分析获得PA和MAC的截断点。应用逻辑回归分析评估这两个指标预测PEW的能力。结果:69例患者纳入研究。52例(52%)为女性。39例(39%)患者存在PEW。ROC曲线显示,营养不良风险的最佳PA截断值为4.64°,敏感性为77.8%,特异性为76.2%。对于MAC,截断值为29.6 cm时,敏感性为66.6%,特异性为69.0%。多因素调整后,这两个指标均与PEW显著相关。结论:近39%的RRT患者存在PEW。PA和MAC是预测接受RRT的慢性肾脏病患者PEW的有用、简单且独立的指标。