TY - JOUR
T1 - Accuracy of bedside ultrasound for predicting resting energy expenditure in critically ill patients
T2 - A feasibility study
AU - Gao, Ming
AU - Tan, Li
AU - Zhou, Yingli
AU - Peng, Wei
AU - Xu, Yuan
AU - Zhou, Hua
AU - van Zanten, Arthur Raymond Huber
AU - Zhu, Yan
PY - 2025/6
Y1 - 2025/6
N2 - Objectives This study aimed to assess the accuracy of bedside ultrasound in predicting resting energy expenditure (REE) in critically ill patients. Methods We studied critically ill patients admitted to our hospital’s ICU between November 2021 and March 2023 who underwent REE, cardiac ultrasound, and muscle ultrasound evaluations. General demographic information and ultrasound data (including cardiac output, biceps brachii and quadriceps femoris thickness) were collected to estimate REE (REE-US). Simultaneously, REE was measured using indirect calorimetry (REE-IC). Correlations between REE-US and established equations (Harris-Benedict, Penn State University (PSU), Mifflin, ASPEN standard) as well as REE-IC were evaluated. Additionally, the feasibility and application of ultrasound for REE prediction across different disease conditions in critically ill patients were analysed. Results Ninety-seven critically ill patients with 124 ultrasound measurements were included. The Penn State University formula showed the highest correlation with REE-IC (r=0.779, p<0.001), followed by ultrasound estimation (r=0.668, p<0.001). Correlation between the PSU formula and REE-IC remained robust across subgroups. However, REE-US correlation was weaker in patients with low BMI (BMI<20kg/ m2) (r=0.521, p=0.009) but comparable to the PSU formula in normal and high BMI groups (BMI 20–30kg/m2: r=0.682 vs. r=0.714, p=0.5743; BMI>30kg/m2: r=0.712 vs. r=0.882, p=0.1294). In subgroup analysis, REE-US performed similarly to the PSU formula in the sepsis subgroup (r=0.612 vs r=0.661, p=0.6852) and ICU patients in the late period of the acute phase (r=0.675 vs r=0.751, p=0.2762). Conclusions 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.
AB - Objectives This study aimed to assess the accuracy of bedside ultrasound in predicting resting energy expenditure (REE) in critically ill patients. Methods We studied critically ill patients admitted to our hospital’s ICU between November 2021 and March 2023 who underwent REE, cardiac ultrasound, and muscle ultrasound evaluations. General demographic information and ultrasound data (including cardiac output, biceps brachii and quadriceps femoris thickness) were collected to estimate REE (REE-US). Simultaneously, REE was measured using indirect calorimetry (REE-IC). Correlations between REE-US and established equations (Harris-Benedict, Penn State University (PSU), Mifflin, ASPEN standard) as well as REE-IC were evaluated. Additionally, the feasibility and application of ultrasound for REE prediction across different disease conditions in critically ill patients were analysed. Results Ninety-seven critically ill patients with 124 ultrasound measurements were included. The Penn State University formula showed the highest correlation with REE-IC (r=0.779, p<0.001), followed by ultrasound estimation (r=0.668, p<0.001). Correlation between the PSU formula and REE-IC remained robust across subgroups. However, REE-US correlation was weaker in patients with low BMI (BMI<20kg/ m2) (r=0.521, p=0.009) but comparable to the PSU formula in normal and high BMI groups (BMI 20–30kg/m2: r=0.682 vs. r=0.714, p=0.5743; BMI>30kg/m2: r=0.712 vs. r=0.882, p=0.1294). In subgroup analysis, REE-US performed similarly to the PSU formula in the sepsis subgroup (r=0.612 vs r=0.661, p=0.6852) and ICU patients in the late period of the acute phase (r=0.675 vs r=0.751, p=0.2762). Conclusions 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.
U2 - 10.1371/journal.pone.0325751
DO - 10.1371/journal.pone.0325751
M3 - Article
C2 - 40531888
AN - SCOPUS:105008412585
SN - 1932-6203
VL - 20
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e0325751
ER -