Metabolic Determinants Of Resting Energy Expenditure Among Mechanically Ventilated Critically Ill Patients In Malaysian Tertiary Hospital
试验速览
- 阶段
- 不适用
- 入组人数
- 314
- 试验地点
- 1
- 主要终点
- Number of participants measured resting energy expenditure for the development of predictive equations
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult patients aged over 18 years old
- •Critically ill patients with mechanically ventilated
- •Expected to have an ICU stay of more than 5 days
- •Patients had implemented for continuous enteral or parenteral nutrition support.
排除标准
- •Requirement for inspired oxygen content (FiO2) greater than 0.6
- •Patients on high frequency ventilation
- •Patients with chest tubes that leak air
- •Patients with incompetent tracheal cuff
- •Patients inhaled nitric oxide therapy
- •Patients receiving intermittent hemodialysis and continuous renal replacement therapy (CRRT) during IC measurement
- •Patients with pregnancy
- •Patients with burn injury
- •Patients infected with human immunodeficiency virus (HIV)
- •Patients with severe liver disease (Child-Pugh score C)
- •Patients with post open heart surgery
- •Patients with paraplegia and quadriplegia
结局指标
主要结局
Number of participants measured resting energy expenditure for the development of predictive equations
时间窗: 24 months
predictive equations for the estimation of energy requirement among mechanically ventilated critically ill patients among Malaysian population.
次要结局
- The best regression equation model(24 months)
- Determine and compare REE measured by IC among mechanically ventilated critically ill patients(24 months)
- The validity of several predictive equations by using Intraclass Correlation Coefficient (ICC) test(24 months)
- Determine metabolic determinants(24 months)
- The association of REE in critically ill patients with nutrition risk(24 months)
- The association of REE in critically ill patients with clinical outcome(24 months)
- The association of REE in critically ill patients with quality of life(24 months)
- The energy and protein adequacy in relation to patient outcome.(24 months)
研究者
Tah Pei Chien
Department of Anesthesiology, Faculty of Medicine
University of Malaya