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新型冠状病毒肺炎机械通气患者的能量消耗:三种能量估计方法的比较。

Energy expenditure in COVID-19 mechanically ventilated patients: A comparison of three methods of energy estimation.

机构信息

Department of Intensive Care, S L Raheja Hospital-A Fortis Associate, Mumbai, Maharashtra, India.

Department of Clinical Nutrition and Dietetics, AIG Hospitals, Hyderabad, Telangana, India.

出版信息

JPEN J Parenter Enteral Nutr. 2022 Nov;46(8):1875-1882. doi: 10.1002/jpen.2393. Epub 2022 May 28.

DOI:10.1002/jpen.2393
PMID:35526145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9348140/
Abstract

BACKGROUND

Indirect calorimetry (IC) is the gold standard for measuring resting energy expenditure. Energy expenditure (EE) estimated by ventilator-derived carbon dioxide consumption (EEVCO ) has also been proposed. In the absence of IC, predictive weight-based equations have been recommended to estimate daily energy requirements. This study aims to compare simple predictive weight-based equations with those estimated by EEVCO and IC in mechanically ventilated patients of COVID-19.

METHODS

Retrospective study of a cohort of critically ill adult patients with COVID-19 requiring mechanical ventilation and artificial nutrition to compare energy estimations by three methods through the calculation of bias and precision agreement, reliability, and accuracy rates.

RESULTS

In 58 mechanically ventilated patients, a total of 117 paired measurements were obtained. The mean estimated energy derived from weight-based calculations was 2576 ± 469 kcal/24 h, as compared with 1507 ± 499 kcal/24 h when EE was estimated by IC, resulting in a significant bias of 1069 kcal/day (95% CI [-2158 to 18.7 kcal]; P < 0.001). Similarly, estimated mean EEVCO was 1388 ± 467 kcal/24 h when compared with estimation of EE from IC. A significant bias of only 118 kcal/day (95% CI [-187 to 422 kcal]; P < 0.001), compared by the Bland-Altman plot, was noted.

CONCLUSION

The energy estimated with EEVCO correlated better with IC values than energy derived from weight-based calculations. Our data suggest that the use of simple predictive equations may potentially lead to overfeeding in mechanically ventilated patients with COVID-19.

摘要

背景

间接热量测定法(IC)是测量静息能量消耗的金标准。通过呼吸机衍生的二氧化碳消耗(EEVCO)来估计能量消耗(EE)也已被提出。在没有 IC 的情况下,推荐使用预测体重的方程式来估计每日能量需求。本研究旨在比较机械通气的 COVID-19 患者中简单的预测体重方程式与 EEVCO 和 IC 估计值。

方法

回顾性研究了一组需要机械通气和人工营养的重症 COVID-19 成年患者,通过计算偏差和精度一致性、可靠性和准确率来比较三种方法的能量估计。

结果

在 58 例机械通气的患者中,共获得了 117 对测量值。基于体重计算得出的估计能量平均值为 2576 ± 469 kcal/24 h,而通过 IC 估计 EE 时则为 1507 ± 499 kcal/24 h,每天有显著的 1069 kcal 偏差(95%CI [-2158 至 18.7 kcal];P < 0.001)。同样,与 IC 估计 EE 相比,估计的 EEVCO 平均值为 1388 ± 467 kcal/24 h。Bland-Altman 图显示,只有 118 kcal/天的显著偏差(95%CI [-187 至 422 kcal];P < 0.001)。

结论

与基于体重计算的能量相比,EEVCO 估计的能量与 IC 值相关性更好。我们的数据表明,在机械通气的 COVID-19 患者中,使用简单的预测方程可能会导致过度喂养。

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