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首页> 外文期刊>American Journal of Kidney Diseases: The official journal of the National Kidney Foundation >Novel equations to estimate lean body mass in maintenance hemodialysis patients.
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Novel equations to estimate lean body mass in maintenance hemodialysis patients.

机译:估算维持性血液透析患者瘦体重的新方程式。

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摘要

BACKGROUND: Lean body mass (LBM) is an important nutritional measure representing muscle mass and somatic protein in hemodialysis patients, for whom we developed and tested equations to estimate LBM. STUDY DESIGN: A study of diagnostic test accuracy. SETTING & PARTICIPANTS: The development cohort included 118 hemodialysis patients with LBM measured using dual-energy x-ray absorptiometry (DEXA) and near-infrared (NIR) interactance. The validation cohort included 612 additional hemodialysis patients with LBM measured using a portable NIR interactance technique during hemodialysis. INDEX TESTS: 3-month averaged serum concentrations of creatinine, albumin, and prealbumin; normalized protein nitrogen appearance; midarm muscle circumference (MAMC); handgrip strength; and subjective global assessment of nutrition. REFERENCE TEST: LBM measured using DEXA in the development cohort and NIR interactance in validation cohorts. RESULTS: In the development cohort, DEXA and NIR interactance correlated strongly (r = 0.94, P < 0.001). DEXA-measured LBM correlated with serum creatinine level, MAMC, and handgrip strength, but not with other nutritional markers. Three regression equations to estimate DEXA-measured LBM were developed based on each of these 3 surrogates and sex, height, weight, and age (and urea reduction ratio for the serum creatinine regression). In the validation cohort, the validity of the equations was tested against the NIR interactance-measured LBM. The equation estimates correlated well with NIR interactance-measured LBM (R(2) >/= 0.88), although in higher LBM ranges, they tended to underestimate it. Median (95% confidence interval) differences and interquartile range for differences between equation estimates and NIR interactance-measured LBM were 3.4 (-3.2 to 12.0) and 3.0 (1.1-5.1) kg for serum creatinine and 4.0 (-2.6 to 13.6) and 3.7 (1.3-6.0) kg for MAMC, respectively. LIMITATIONS: DEXA measurements were obtained on a nondialysis day, whereas NIR interactance was performed during hemodialysis treatment, with the likelihood of confounding by volume status variations. CONCLUSIONS: Compared with reference measures of LBM, equations using serum creatinine level, MAMC, or handgrip strength and demographic variables can estimate LBM accurately in long-term hemodialysis patients.
机译:背景:瘦体重(LBM)是一种重要的营养指标,代表血液透析患者的肌肉质量和体蛋白,我们为此开发并测试了方程式以估计LBM。研究设计:诊断测试准确性的研究。地点和参与者:该研究队列包括118例LBM血液透析患者,采用双能X射线吸收法(DEXA)和近红外(NIR)相互作用进行测量。验证队列包括612名其他LBM血液透析患者,这些患者在血液透析期间使用便携式NIR交互技术进行了测量。指数测试:肌酐,白蛋白和前白蛋白的3个月平均血清浓度;归一化的蛋白质氮外观;中臂肌围(MAMC);握力和主观的全球营养评估。参考测试:在发展队列中使用DEXA进行测量的LBM,在验证队列中使用NIR相互作用进行的测量。结果:在发育队列中,DEXA和NIR相互作用密切相关(r = 0.94,P <0.001)。 DEXA测量的LBM与血清肌酐水平,MAMC和握力有关,但与其他营养指标无关。基于这三个替代指标以及性别,身高,体重和年龄(以及血清肌酐回归的尿素减少率),开发了三个回归方程式来估算DEXA测量的LBM。在验证队列中,针对NIR相互作用测量的LBM检验了方程的有效性。该方程式估计值与NIR相互作用测得的LBM(R(2)> / = 0.88)很好地相关,尽管在较高的LBM范围内,他们倾向于低估它。方程式估计与NIR相互作用测得的LBM之间的差异的中位数(95%置信区间)差异和四分位数间距分别为3.4(-3.2至12.0)和3.0(1.1-5.1)kg血​​清肌酐,以及4.0(-2.6至13.6)和MAMC分别为3.7(1.3-6.0)公斤。局限性:DEXA测量值是在非透析日获得的,而NIR相互作用是在血液透析治疗期间进行的,可能因体积状态变化而混淆。结论:与LBM的参考量度相比,使用血肌酐水平,MAMC或握力和人口统计学变量的方程式可以准确估计长期血液透析患者的LBM。

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