Estimates of resting energy expenditure using predictive equations in adults with severe burns: A systematic review and meta-analysis

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yiran Wang MS, Jing Jiang MS, Meixuan Liu MS, Huan Liu MS, Tao Shen MS, Chunmao Han PhD, Xingang Wang PhD
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Abstract

Background

Many equations to estimate the resting energy expenditure (REE) of patients with burns are currently available, but which of them provides the best guide to optimize nutrition support is controversial. This review examined the bias and precision of commonly used equations in patients with severe burns.

Methods

A systematic search of the PubMed, Web of Science, Embase, and Cochrane Library databases was undertaken on June 1, 2023, to identify studies comparing predicted REE (using equations) with measured REE (by indirect calorimetry [IC]) in adults with severe burns. Meta-analyses of bias and calculations of precisions were performed in each predictive equation, respectively.

Results

Nine eligible studies and 12 eligible equations were included. Among the equations, the Toronto equation had the lowest bias (26.1 kcal/day; 95% CI, −417.0 to 469.2), followed by the Harris-Benedict equation × 1.5 (1.5HB) and the Milner equation. The Ireton-Jones equation (303.4 kcal/day; 95% CI, 224.5–382.3) acceptably overestimated the REE. The accuracy of all of the equations was <50%. The Ireton-Jones equation had the relatively highest precision (41.2%), followed by the 1.5HB equation (37.0%) and the Toronto equation (34.7%).

Conclusion

For adult patients with severe burns, all of the commonly used equations for the prediction of REE are inaccurate. It is recommended to use IC for accurate REE measurements and to use the Toronto equation, 1.5HB equation, or Ireton-Jones equation as a reference when IC is not available. Further studies are needed to propose more accurate REE predictive models.

Abstract Image

使用预测方程估算严重烧伤成人的静息能量消耗:系统回顾和荟萃分析。
背景:目前有许多估算烧伤患者静息能量消耗(REE)的公式,但哪种公式能为优化营养支持提供最佳指导却存在争议。本综述研究了严重烧伤患者常用方程的偏差和精确度:方法:2023 年 6 月 1 日,我们对 PubMed、Web of Science、Embase 和 Cochrane Library 数据库进行了系统性检索,以确定在成人严重烧伤患者中比较预测 REE(使用方程)和测量 REE(通过间接量热法 [IC])的研究。对每个预测方程分别进行了偏倚元分析和精确度计算:结果:共纳入了 9 项符合条件的研究和 12 个符合条件的方程。在这些方程中,多伦多方程的偏差最小(26.1 千卡/天;95% CI,-417.0 至 469.2),其次是哈里斯-本尼迪克特方程 × 1.5(1.5HB)和米尔纳方程。艾里顿-琼斯方程(303.4 千卡/天;95% CI,224.5-382.3)高估了 REE,这是可以接受的。所有方程的准确性均为结论:对于严重烧伤的成人患者,所有常用的 REE 预测方程都不准确。建议使用 IC 进行准确的 REE 测量,如果没有 IC,则使用多伦多方程、1.5HB 方程或 Ireton-Jones 方程作为参考。需要进一步研究,以提出更准确的 REE 预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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