Recalibrating Resting Energy Expenditure Prediction Equations in Asian Older Adults with Multimorbidity
Pei San Kua·Lian Leng Low·Su Mei Tay·Phoebe Si-En Thong·Olivia Jiawen Xia·Wendelynn Hui Ping Chua·Kevin Chong·Nicholas Wei Kiat Tan·Xin Hui Loh·Jia Hui Tan·Musfirah Albakri
Background/Objective: Accurate resting energy expenditure (REE) estimation is paramount for the nutritional management of older Asian adults with multimorbidity. However, standard predictive equations (PEs) lack precision for this cohort. This study aimed to recalibrate PEs using BMI-stratified, slope-only regression to enhance bedside accuracy. Methods: REE was measured via indirect calorimetry in 400 hospitalized patients (age ≥ 65). Sensitivity analyses identified significant proportional bia