A retrospective study of resting energy expenditure in children hospitalized with different nutritional status.

IF 1.5 4区 医学 Q2 PEDIATRICS Translational pediatrics Pub Date : 2024-08-31 Epub Date: 2024-08-28 DOI:10.21037/tp-24-168
Wen-Li Yang, Lu-Lu Xia, Dong-Dan Li, Wen-Li Zhao, Jie Yan
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Abstract

Background: Resting energy expenditure (REE) refers to the energy consumption of the body in a resting state without skeletal muscle activity. This study aimed to examine the REE among children hospitalized with varying nutritional status.

Methods: This was a retrospective study. We enrolled 109 pediatric cases that underwent indirect calorimetry (IC) and divided into four groups: mild malnutrition group (15 cases), moderate malnutrition group (30 cases), severe malnutrition group (32 cases), and obesity group (32 cases). We compared and analyzed the measured REE (mREE) using IC with the predicted REE (pREE) using five energy equations. The paired t-test was used to compare the results of two samples. Pearson analysis was used to assess the correlation between two values. The agreement analysis was performed using the Bland-Altman method.

Results: There was no significant difference in mREE between the mild, moderate, and severe malnutrition groups, but each differed significantly from the obesity group. All populations exhibited significant correlation between the mREEs and all five energy equations, and the equation with the highest predictive accuracy was the Schofield equation, which achieved an accuracy of 47.7%. In subgroup analysis, there was no significant difference between mREE and pREE for each of the five equations in the mild, moderate malnutrition groups. Only the prediction result of the Liu equation was not significantly different from the mREE in the severe malnutrition group. The prediction accuracy of the Liu equation was relatively the highest (34.4%). However, in the obese group, there were significant differences in pREE and mREE between the Liu equation and Mifflin equation. Under different nutritional statuses, the results of the Bland-Altman analysis suggested that deviation values between REEs predicted by each equation and mREE were greater than ±10%.

Conclusions: There were differences in REE among children with different nutritional status. The results obtained from the five predictive energy equations deviated from the IC results. When REE cannot be measured by IC, it is essential to choose an appropriate predictive energy equation based on the nutritional status of the individual.

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对不同营养状况住院儿童静息能量消耗的回顾性研究。
背景:静息能量消耗(REE)是指人体在没有骨骼肌活动的静息状态下的能量消耗。本研究旨在检测住院儿童在不同营养状况下的静息能量消耗:这是一项回顾性研究。方法:这是一项回顾性研究。我们选取了 109 例接受间接热量测定(IC)的儿科病例,并将其分为四组:轻度营养不良组(15 例)、中度营养不良组(30 例)、重度营养不良组(32 例)和肥胖组(32 例)。我们将使用 IC 测量的 REE(mREE)与使用五种能量方程预测的 REE(pREE)进行了比较和分析。采用配对 t 检验比较两个样本的结果。皮尔逊分析用于评估两个值之间的相关性。采用 Bland-Altman 方法进行了一致性分析:结果:轻度、中度和重度营养不良组之间的 mREE 没有明显差异,但与肥胖组相比差异显著。所有人群的 mREE 与所有五种能量方程之间都有明显的相关性,预测准确率最高的方程是 Schofield 方程,准确率达到 47.7%。在亚组分析中,轻度和中度营养不良组的 mREE 和 pREE 在五种方程中均无明显差异。在重度营养不良组中,只有刘氏方程的预测结果与 mREE 没有显著差异。刘氏方程的预测准确率相对最高(34.4%)。然而,在肥胖组中,刘氏方程和米夫林方程的 pREE 和 mREE 存在显著差异。在不同的营养状况下,布兰-阿尔特曼分析结果表明,各方程预测的 REE 与 mREE 之间的偏差值均大于 ±10%:结论:不同营养状况的儿童的 REE 存在差异。结论:不同营养状况的儿童的 REE 存在差异,五个预测能量方程得出的结果与 IC 结果存在偏差。当 IC 无法测量 REE 时,必须根据个体的营养状况选择合适的预测能量方程。
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
Translational pediatrics
Translational pediatrics Medicine-Pediatrics, Perinatology and Child Health
CiteScore
4.50
自引率
5.00%
发文量
108
期刊介绍: Information not localized
期刊最新文献
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