Assessing the Appropriate Energy Expenditure Requirement Using Indirect Calorimetry for Liver Transplant Recipients
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Comparing REE with the measurement for each predictive equation and indirect calorimetry
研究概览
简要总结
Although predicted REE calculated using the Penn state 1988 method agreed (ICC 0.61, p=0.00014) with the measured REE, all three predictive equations had a fixed bias and appeared to be inaccurate for predicting REE for liver transplant recipients.
Therefore, precise measurements using indirect calorimetry may be helpful when treating critically ill patients to avoid underestimating or overestimating their metabolic needs.
详细描述
Rationale: The aim of this study was to compare predictive equations with indirect calorimetry and identify the appropriate energy expenditure requirement of liver transplant(LT) recipients in South Korea.
Methods: This prospective observational study was conducted in a surgical ICU in an academic tertiary hospital over three months. Thirty mechanically ventilated patients who had received liver transplants and were expected to stay in the ICU more than 2 days were studied. Resting energy expenditure(REE) was measured 48 hours after ICU admission using open-circuit indirect calorimetry. Theoretical REE was estimated using three predictive equations: Harris-Benedict methods, lreton-Jones ventilated, and Penn state 1988. The REEs derived from each predictive equation were compared with the measured REE using an intraclass correlation coefficient (ICC) and a Bland-Altman plot.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
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
- •mechanically ventilated patients who had received liver transplants and were expected to stay in the ICU more than 2 days were studied.
排除标准
- •patients who were extubated before 36 hrs
结局指标
主要结局
Comparing REE with the measurement for each predictive equation and indirect calorimetry
时间窗: 1 year
The REEs derived from each predictive equation were compared with the measured REE using an intraclass correlation coefficient (ICC) and a Bland-Altman plot.
次要结局
未报告次要终点
研究者
Suk-Kyung
Associate professor
Asan Medical Center