Energy expenditure measurement in critical care: Implications for personalized nutrition support

Each method has unique strengths and limitations. We found that while IC remains the reference standard, less accurate predictive equations have greater accessibility and ease of implementation. Emerging technologies show promise for bedside applicability. Future research should address practical barriers and validate newer approaches.

Authors

Institutions

Publication Details

Journal
World Journal of Critical Care Medicine
Published
2025-07-18
DOI
https://doi.org/10.5492/wjccm.v14.i3.105299
Primary Topic
Clinical Nutrition and Gastroenterology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy expenditure measurement in critical care: Implications for personalized nutrition support

Kay Choong See, Jiayang Chen
World Journal of Critical Care Medicine
Clinical Nutrition and Gastroenterology
article

Energy expenditure measurement in critical care: Implications for personalized nutrition support

Kay Choong See, Jiayang Chen
article en

Abstract

Each method has unique strengths and limitations. We found that while IC remains the reference standard, less accurate predictive equations have greater accessibility and ease of implementation. Emerging technologies show promise for bedside applicability. Future research should address practical barriers and validate newer approaches.

World Journal of Critical Care MedicineVol. 14(3)
National University Hospital (SG)
Zero hunger
Openalex Percentile: Top 76%
Clinical Nutrition and Gastroenterology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.