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临床试验/NCT03193632
NCT03193632已完成不适用

The Novel Use of Point of Care Ultrasound to Predict Resting Energy Expenditure in Critically Ill Patients by Measuring Lean Body Mass Using Musculo-skeletal Ultrasound

Eslam Ayman Mohamed Shawki1 个研究点 分布在 1 个国家目标入组 40 人开始时间: 2017年7月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
40
试验地点
1
主要终点
correlation between LBM derived from ultrasound MLT and REE by indirect calorimetry

研究概览

简要总结

The study aims to correlate Lean Body Mass (LBM) Evaluated by Musculoskeletal Ultrasound with Resting Energy Expenditure (REE) measured by Indirect Calorimetry and to generate a predictive equation of REE based on LBM, in addition to identifying other factors that may affect REE such as age, gender, and severity scores.

详细描述

Caloric needs in critically-ill patients fluctuate significantly over the course of the disease which might expose patients to either malnutrition or overfeeding.Malnutrition is associated with deterioration of lean body mass (LBM), poor wound healing, increased risk of nosocomial infection, and weakened respiratory muscles. On the other hand overfeeding in medically compromised patients can promote lipogenesis, hyperglycemia, and exacerbation of respiratory failure. Many factors may affect the resting energy expenditure (REE) through manipulation of oxygen consumption (VO2). One of the strongest determinants of REE is the LBM.

A measurement of muscle mass and changes in muscle mass could thus provide an index of LBM in critically ill patients. At present, computerized tomography, magnetic resonance imaging and dual-energy X-ray absorptiometry (DXA) are widely used as reference methods for evaluating LBM in vivo. However, these methods are impractical in critically ill patients. More practically, ultrasound scanning is a simple, portable, safe, and a low-patient burden technique. Several studies found that the use of ultrasound can be a good estimate to LBM.

Indirect calorimetry remains the accepted standard for determining the REE in the critically ill. Indirect calorimetry measures oxygen consumption(VO2) and carbon dioxide excretion (VCO2 ) (both in mL/min), which are used to calculate the respiratory quotient and the resting energy expenditure. Although, the measured LBM has been shown as an important determinant of REE, there was no previous study tested the relationship between estimated LBM by ultrasound-based muscle thickness measurement and REE.

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

入选标准

  • Patient requiring ventilatory support > 24 hours

排除标准

  • Patient who will require FIO2 more than 0.
  • Air leak from the chest tube.
  • Patient with body temperature > 39oC.
  • Patients with known endocrine dysfunction.
  • Patients on parenteral nutrition

结局指标

主要结局

correlation between LBM derived from ultrasound MLT and REE by indirect calorimetry

时间窗: 24 hours of ICU admission

The correlation of the LBM derived from ultrasound MLT to the REE measured within 24 hours of ICU admission with indirect calorimetry

次要结局

  • Predictive equation for REE based on US measurement of MLT(24 hours of ICU admission)
  • Estimation of the effect of severity scores on the REE(24 hours of ICU admission)

研究者

发起方
Eslam Ayman Mohamed Shawki
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Eslam Ayman Mohamed Shawki

Lecturer of anesthesia, SICU & Pain Management

Cairo University

研究点 (1)

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