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艾滋病病毒/艾滋病患者的静息能量消耗:预测方程的制定和验证。

Resting energy expenditure in HIV/AIDS patients: Development and validation of a predictive equation.

机构信息

Centro de Investigaciones en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.

Centro de Investigaciones en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.

出版信息

Clin Nutr ESPEN. 2020 Dec;40:288-292. doi: 10.1016/j.clnesp.2020.09.004. Epub 2020 Sep 23.

DOI:10.1016/j.clnesp.2020.09.004
PMID:33183552
Abstract

BACKGROUND

Accurate measurements of resting energy expenditure (REE) are important for determining nutritional needs in HIV patients. Indirect calorimetry (IC) is a noninvasive method that reflects REE but can be costly and is frequently calculated with predictive equations. Research suggests that REE obtained by predictive equations in people living with HIV/AIDS (PLWH) is inaccurate. The aim of the study is to develop and validate a new predictive equation of REE based on a population of PLWH.

METHODS

Cross-sectional study including 164 PLWH (82 to develop and 82 to validate the equation). Multiple linear regression was used to determine the relationship between variables and to develop the new predictive equation. Intraclass correlation coefficient (ICC) and Bland-Altman methods were used to evaluate agreement between the new predictive equation and indirect calorimetry.

RESULTS

A new predictive equation with an accuracy of 67% when compared with IC was developed. This equation included as covariates: fat free mass, antiretroviral therapy status and age.

CONCLUSION

A new equation to predict energy expenditure in PLWH was developed and validated. This formula can be used to estimate REE if IC is not available.

摘要

背景

准确测量静息能量消耗(REE)对于确定 HIV 患者的营养需求非常重要。间接热量测定法(IC)是一种非侵入性的方法,可以反映 REE,但成本较高,并且经常使用预测方程进行计算。研究表明,预测方程在 HIV/AIDS 患者(PLWH)中得出的 REE 不准确。本研究的目的是基于 PLWH 人群开发和验证一种新的 REE 预测方程。

方法

这是一项包括 164 名 PLWH 的横断面研究(82 名用于开发方程,82 名用于验证方程)。使用多元线性回归来确定变量之间的关系并开发新的预测方程。使用组内相关系数(ICC)和 Bland-Altman 方法评估新预测方程与间接热量测定法之间的一致性。

结果

开发了一种与 IC 相比准确率为 67%的新预测方程。该方程包括以下协变量:去脂体重、抗逆转录病毒治疗状况和年龄。

结论

开发并验证了一种用于预测 PLWH 能量消耗的新方程。如果无法进行 IC,则可以使用该公式来估算 REE。

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