慢性肾病儿童营养评价的生物电阻抗分析

Noura Elsayed Elzayat, A. El-barky, Hend Hassan Abd El-Nabi, Rasha Mohamed El-Shafiey, Yousef Fouad Yousef
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摘要

背景:营养不良和生长衰竭是儿童慢性肾脏疾病(CKD)的主要问题。没有单一的指标可以描述他们的营养状况;因此,需要一系列的指标和方法来进行评价。工作目的:利用饮食史、人体测量、生化参数和BIA评价CKD儿童的营养状况。方法:本病例对照研究在2021年3月至2022年2月期间在坦塔大学附属医院儿科就诊的40名CKD儿童(3-5期)与40名健康对照儿童进行比较。所有受试者均接受:饮食史、人体测量包括(体重、身高、体重指数、中臂围、皮肤折叠厚度)、BIA(使用TANITA身体成分分析仪MC-980 MA-N plus III设备)和实验室调查:(CBC、尿素、肌酐、ABG、钠、钾、磷、钙、碱性磷酸酶、甲状旁激素、血清蛋白、白蛋白和24小时尿蛋白)。结果:CKD儿童的热量摄入和其他营养消耗(包括蛋白质、碳水化合物和脂肪摄入)显著低于对照组(p < 0.05),人体测量指标(包括体重、身高、体重指数、皮肤折叠厚度和中臂围)显著低于对照组(p < 0.05), BIA测量指标(包括脂肪量(FM)、无脂肪量(FFM)、肌肉量(MM)、全身水分(TBW)和骨量(BM)显著低于对照组(p < 0.05)。CKD患者热量摄入、蛋白质摄入与FFM、MM、SMM、BM、TBW、BMR呈显著正相关,血清白蛋白与FFM、MM、SMM、BM、TBW呈显著正相关。结论:CKD患儿热量和蛋白质摄入量低,体成分参数低,做好营养评估,改善其营养状况十分重要。BIA可以与饮食评估和人体测量相结合,以获得更准确的CKD儿童营养评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioelectrical Impedance Analysis for Nutritional Assessment in Children with Chronic Kidney Disease
Background: Malnutrition and growth failure are major problems among children with chronic kidney disease (CKD). No single metric can describe their nutritional status; therefore, a series of indices and methods are required for evaluation. Aim of the Work: Evaluation of the nutritional status of children with CKD using dietetic history, anthropometric measurements, biochemical parameters and BIA. Methods:  This case-control study was conducted on forty CKD children (stages 3-5) from those attending Pediatric Department, Tanta University Hospitals between March 2021 and February 2022 in comparison to forty healthy control children. All were subjected to: dietetic history, anthropometric measurements including (weight, height, body mass index, mid-arm circumference, skin fold thickness), BIA using TANITA Body Composition Analyzer MC-980 MA-N plus III device and laboratory investigations: (CBC, urea, creatinine, ABG, sodium, potassium, phosphorus, calcium, alkaline phosphatase, parathormone hormone, serum proteins, albumin and 24hrs urinary proteins). Results: CKD children had significantly lower caloric intake and other nutrient consumption including protein, carbohydrate and fat intake (p < 0.05), significantly lower anthropometric measurements including weight, height, body mass index, skinfold thickness and mid-arm circumference than controls (p < 0.05) and significantly lower in BIA measurements including fat mass (FM), fat free mass (FFM), muscle mass (MM), total body water (TBW) and bone mass (BM) than controls. There was significant positive correlation between caloric intake and protein intake with FFM, MM, SMM, BM, TBW and BMR, also there was significant positive correlation between serum albumin and FFM, MM, SMM, BM and TBW in CKD patients. Conclusions: CKD children had low caloric and protein intake, low body composition parameters, so good nutritional assessment and improvement of their nutritional status is very important. BIA could be used with dietary assessment and anthropometric measurements to achieve more accurate nutritional evaluation in CKD children.
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