The goal of this observational study is to compare energy requirements estimated by predictive equation and indirect calorimetry across different BMI categories, and to examine how these estimates, along with early nutritional strategies and progressive caloric delivery relate to ICU outcomes. The main questions it aims to answer are: 1. To evaluate whether predictive equation and/or indirect calorimetry provides accurate caloric targets in critically ill patients. 2. To identify high-risk malnutrition patients (underweight, normal and overweight, obese) who may benefit most from IC-based measurement. 3. To investigate the impact of caloric strategies and nutritional achievement during the acute phase on the length of ICU stay.
Study Type
OBSERVATIONAL
Enrollment
133
Critically ill patients are highly susceptible to malnutrition, making accurate caloric estimation essential to prevent both underfeeding and overfeeding during the acute phase in the ICU. Although predictive equations (PE) are widely used to estimate energy requirement, indirect calorimetry (IC) remains the gold standard. This study aimed to compare energy requirements estimated by PE and IC across different BMI categories.
Taipei Medical University-Shuang Ho Hospital, Ministry of Health and Welfare
New Taipei City, Taiwan
The primary outcome was ICU length of stay.
This study aimed to compare energy requirements estimated by PE and IC across different BMI categories, and to examine how these estimates, along with early nutritional strategies and progressive caloric delivery relate to the length of ICU stay.
Time frame: From admitted to ICU which defined as day 1, until transferred to the general wards or expired, up to 12 weeks.
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