论著

生物电阻抗分析技术在肿瘤患者人体成分分析中应用研究

  • 1丛明华 ,
  • 1邹宝华 ,
  • 1宋晨鑫 ,
  • 2代忠 ,
  • 2姚克青 ,
  • 3*石汉平
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  • 1国家癌症中心 / 国家肿瘤临床医学研究中心 /中国医学科学院北京协和医学院肿瘤医院,北京 100021;2北京市朝阳区桓兴肿瘤医院,北京 100122;3首都医科大学附属北京世纪坛医院,北京 100038

网络出版日期: 2021-04-12

基金资助

国家重点研发计划项目(2017YFC1309200)

Application of body composition analysis using by bioelectrical impedance analysis within cancer patients

  • 1CONG Ming-hua ,
  • 1ZOU Bao-hua ,
  • 1 SONG Chen-xin ,
  • 2DAI Zhong ,
  • 2YAO Ke-qing ,
  • 3*SHI Han-ping
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  • 1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; 2Cancer Hospital of HuanXing ChaoYang District Beijing, Beijing 100122, China; 3Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China

Online published: 2021-04-12

摘要

目的 采用生物电阻抗分析技术进行人体成分分析在临床中应用已越来越广泛,本研究采用两款人体成分分析 仪对肿瘤患者进行体成分的测定,为人体成分分析仪在肿瘤患者中的应用提供参考依据。方法 采用营养风险筛查量表进 行营养风险筛查,采用患者主观整体营养评估量表进行营养评估,采用 IOI 353 人体成分分析仪和BCA-2A 人体成分分析 仪检测肿瘤患者的体成分,包括:体重、体质指数、骨量、内脏脂肪水平、肌肉量、基础代谢、体脂肪率、体水分率等指 标,应用线性回归法分析两款仪器测量结果间的一致性。结果 纳入符合标准的肿瘤患者110 例,48 例(44%)患者NRS 2002 ≥ 3 分;61 例(56%)患者PG-SGA 评价为B 级,31 例(28%)患者评价为C 级;两款仪器的成对定量数据相关系 数 r > 0.975,两者之间有良好相关性,成对定量分析数据进行分析无明显差异(P > 0.05),即两款仪器之间存在等效性 关系。结论 肿瘤患者营养风险和营养不良发生率较高,应及早进行营养风险筛查和营养评估,不同品牌人体成分分析仪等 效性较好。

本文引用格式

1丛明华 , 1邹宝华 , 1宋晨鑫 , 2代忠 , 2姚克青 , 3*石汉平 . 生物电阻抗分析技术在肿瘤患者人体成分分析中应用研究[J]. 肿瘤代谢与营养电子杂志, 2018 , 5(4) : 415 -418 . DOI: 10.16689/j.cnki.cn11-9349/r.2018.04.018

Abstract

Objective Bioelectrical impedance analysis has been widely used in clinical for detecting the human body composition. In this study, two kinds of human body composition analyzer were used to determine the body composition of cancer patients, providing a reference for the clinical application of human body composition analyzer. Methods Nutrition risk screening was used by NRS 2002, nutrition assessment was used by PG-SGA , and the body composition of cancer patients were detected by both IOI 353 body composition analyzer and BCA-2A body composition analyzer. The linear regression method was used to analyze the consistency between the indicators from two instruments, including body weight, body mass index, bone mass, visceral fat grade, muscle mass, basal metabolism, body fat rate, and body water rate. Results There were 110 cancer patients included, and 48 of them (44%) with NRS 2002≥3. Besides, 61 of them (56%) had a level of class B, and 31 of them (28%) had a level of class C of PG-SGA. The correlation coefficient of paired quantitative data between the two instruments was more than 0.975. There was a good correlation between the two instruments, and there was no significant difference in the analysis of paired quantitative data (P>0.05), showing difference is equivalent relationship between two instruments. Conclusions Cancer patients had a high incidence of nutrition risk and malnutrition. Nutritional risk screening and nutritional assessment should be carried out as early as possible, different instruments of human body composition analyzer showed good equivalence.
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