Accuracy of bedside ultrasound for predicting resting energy expenditure in critically ill patients: A feasibility study

The Penn State University formula demonstrated the strongest correlation with REE-IC in critically ill patients. Ultrasound may replace the PSU formula in non-mechanically ventilated patients with unavailable gas measurement parameters. However, ultrasound-derived REE is less predictive in patients with low BMI or during the early acute phase of critical illness. Further research is warranted to refine ultrasound application in these populations.

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Publication Details

Journal
PLoS ONE
Published
2025-06-18
DOI
https://doi.org/10.1371/journal.pone.0325751
Citations
1
Primary Topic
Hemodynamic Monitoring and Therapy
Type
article
Field-Weighted Citation Impact
2.01
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article

Accuracy of bedside ultrasound for predicting resting energy expenditure in critically ill patients: A feasibility study

Yingli Zhou, Li Tan, Yan Zhu, Arthur R. H. van Zanten et al.
1 citations
PLoS ONE
Hemodynamic Monitoring and Therapy
2.01
article

Accuracy of bedside ultrasound for predicting resting energy expenditure in critically ill patients: A feasibility study

Yingli Zhou, Li Tan, Yan Zhu, Arthur R. H. van Zanten, Ming Gao, Wei Peng, Yuan Xu, Hua Zhou
article en
1 citations

Abstract

The Penn State University formula demonstrated the strongest correlation with REE-IC in critically ill patients. Ultrasound may replace the PSU formula in non-mechanically ventilated patients with unavailable gas measurement parameters. However, ultrasound-derived REE is less predictive in patients with low BMI or during the early acute phase of critical illness. Further research is warranted to refine ultrasound application in these populations.

PLoS ONEVol. 20(6)
Ziekenhuis Gelderse Vallei (NL), Beijing Tsinghua Chang Gung Hospital (CN), Wageningen University & Research (NL)
Affordable and clean energy
Openalex Percentile: Top 14%
Hemodynamic Monitoring and Therapy
2.01
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