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

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

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

Sanjith Saseedharan et al. JPEN J Parenter Enteral Nutr. 2022 Nov.

Abstract

Background: Indirect calorimetry (IC) is the gold standard for measuring resting energy expenditure. Energy expenditure (EE) estimated by ventilator-derived carbon dioxide consumption (EEVCO2 ) 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 EEVCO2 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 EEVCO2 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 EEVCO2 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.

Keywords: COVID-19; EEVCO2; energy expenditure; indirect calorimetry; predictive equation.

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Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Flow diagram of patients selected for analysis. APACHE, Acute Physiology and Chronic Health Evaluation; CRP, C‐reactive protein; EN, enteral nutrition; ICU, intensive care unit; mNUTRIC, modified Nutrition Risk in Critically Ill; SOFA, Sequential Organ Failure Assessment
Figure 2
Figure 2
Bland‐Altman plot of EE derived by weight‐based calculations and EE by IC. EE, energy expenditure; EEWB, energy expenditure calculated with weight‐based calculations; IC, indirect calorimetry
Figure 3
Figure 3
Bland‐Altman plot of EEVCO2 and EE by IC. EE, energy expenditure; EEVCO2, energy expenditure calculated with ventilator‐derived carbon dioxide production; IC, ventilator‐derived indirect calorimetry

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