NCT03319329

Metabolic Determinants Of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients

Metabolic Determinants Of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients In Malaysian Tertiary Hospital

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 314 (estimated)
• Sponsor: University of Malaya · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Currently there are no study related to Indirect Calorimetry (IC) has been done among hospitalised Malaysian ICU adult patients with its racial mix. The aim of this study is to perform a cross-sectional study in Malaysian critically ill patients to determine metabolic determinants that might influence resting energy expenditure (REE) and to develop predictive equation for the estimation of energy requirement using the regression based approach to increase the accuracy in calorie prescriptions. In addition, expected outcome of this study is to determine which equations have clinical usefulness among Malaysian adult critically ill patients and hope to introduce into routine clinical practice in the future if IC is not available.

Detailed description

Nutrition provision in the clinical setting relies heavily on the accurate estimation of energy and protein requirements. This can be done in a quick and inexpensive manner via the use of predictive equations. Some of the most popularly used predictive equations such as the Harris-Benedict equation and the Mifflin-St. Jeor equation have been widely applied within the clinical setting to estimate energy requirements among mechanically ventilated critically ill patients. However, these existing equations were not specially developed for a population with disease, as the equations were derived from a pool of healthy Caucasian adults. In addition, most of the equations for critically ill patients such as the Penn State equation, Faisy equation and Raurich Equation developed and validated among Caucasian in western country and not among Asian population. Therefore, their accuracy in predicting energy requirement is questionable when applied within Malaysian mechanically ventilated critically ill patients with its racial mix.

Conditions

• Critical Illness

Interventions

Type	Name	Description
DEVICE	Indirect Calorimetry	REE measurements were using IC (Cosmed, Quark RMR 2.0, Indirect Calorimetry Lab, Italy). A standard protocol for conducting the measurement was followed (Schlein \& Coulter, 2014);(P. Singer \& Singer, 2016); (Taku Oshima et al., 2016). Before each measurement, the metabolic monitor was allowed to warm up for 30 min, and then gas and flowmeter calibrations were performed by an experienced dietitian or healthcare professional. The REE was recorded after a 30 min non-fasting steady state according to RMR protocol and manufacturer instructions.

Timeline

• Start date: 2017-02-13
• Primary completion: 2020-12-31
• Completion: 2022-12-31
• First posted: 2017-10-24
• Last updated: 2017-10-24

Locations

1 site across 1 country: Malaysia