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作 者:杨林[1] 李阿芳 王佩佩 张蓓[2] 窦艳娜[2] Yang Lin;Li Afang;Wang Peipei(Pediatric Surgery Department,The First Affiliated Hospital of Zhengzhou University,Henan 450000,China)
机构地区:[1]郑州大学第一附属医院小儿外科,450000 [2]郑州大学第一附属医院肾脏内科,450000
出 处:《医学研究杂志》2021年第6期45-49,共5页Journal of Medical Research
基 金:国家自然科学基金-河南联合基金资助项目(U1404804)。
摘 要:目的以双能X线吸收法测量的去脂体重(fat free mass,FFM)为参考标准,以腹膜透析和血液透析患者的人体测量和生物电阻抗(bioimpedance,BIA)相关变量,开发出针对我国透析患者的FFM评估公式。方法运用多元线性回归分析模型,输入可能对预测FFM变量有意义的性别、年龄、体重、电阻、电抗、阻抗系数(H^(2)/R_(50))等变量,将对FFM预测有意义的变量以最高相关系数和最小估计标准误差的顺序输入预测公式。并将透析患者随机平均分成两组,使用双重交叉验证技术对模型进行验证,开发出一个BIA评估透析患者FFM新公式。结果本研究共招募30例健康人和102例透析患者,透析患者随机平均分成两组,训练组、测试组各51例,两组之间在男性比例、年龄、身高、体重、BMI、电阻、电抗、阻抗系数(H^(2)/R_(50))等方面比较,差异无统计学意义。根据本研究的透析患者,开发出最终预测公式:FFM=5.783+(0.313×H^(2)/R_(50))+(0.311×weight)+(3.047×sex),最终模型的决定系数是0.939,SEE为2.42kg。结论本研究开发的生物电阻抗FFM公式可能为我国透析患者临床营养监测提供一定的应用价值。Objective To take the measurement results of dual-energy X-ray absorption(DXA)method as the reference standard,and to develop the FFM evaluation formula for Chinese dialysis patients based on the anthropometrics and BIA-related variables of dialysis patients in this study.Methods The hemodialysis and peritoneal dialysis patients,and healthy subjects were enrolled in this study.We used a multiple linear regression analysis model to enter the gender,age,weight,resistance,reactance,impedance coefficient(H^(2)/R_(50))and other variables that may be meaningful for predicting FFM variables.The variables that were meaningful for FFM prediction would be the highest correlation coefficient and the smallest the order of the estimated standard error(SEE)was entered into the prediction formula.The dialysis patients were randomly divided into two groups,and the model was verified using double cross-validation technology.If the results of double cross-validation were similar,all dialysis patients were combined to develop a new BIA formula for evaluating dialysis patients′FFM.We used a multiple linear regression analysis model to enter the gender,age,weight,resistance,reactance,impedance coefficient(H^(2)/R_(50))and other variables that may be significative for predicting FFM.The variables that were significate for FFM prediction would be input into the prediction formula by highest correlation coefficient and the smallest standard error of estimated.Moreover,the dialysis patients were randomly divided into two groups,and the model was verified using double cross-validation technology.If the results of double cross-validation were similar,all dialysis patients were combined to develop a new BIA formula for calculating FFM of dialysis patients.P<0.05 was thought that the difference being statistically significant.Results A total of 102 dialysis patients were recruited in this study.After being randomly divided into two groups,there were 51 people in both group,and there was no significant difference in male ratio,age,height,we
分 类 号:R445[医药卫生—影像医学与核医学]
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