# Predicting Resting Energy Expenditure in Critically Ill Patients by Measuring Lean Body Mass by US

> **NCT03193632** · — · COMPLETED · sponsor: **Eslam Ayman Mohamed Shawki** · enrollment: 40 (actual)

## Conditions studied

- Resting Energy Expenditure

## Interventions

- **DIAGNOSTIC_TEST:** US Muscle layer thickness (MLT) estimation
- **DIAGNOSTIC_TEST:** REE estimation by indirect calorimetry

## Key facts

- **NCT ID:** NCT03193632
- **Lead sponsor:** Eslam Ayman Mohamed Shawki
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2017-07-01
- **Primary completion:** 2018-07-01
- **Final completion:** 2018-08-01
- **Target enrollment:** 40 (ACTUAL)
- **Last updated:** 2018-10-04


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT03193632

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT03193632, "Predicting Resting Energy Expenditure in Critically Ill Patients by Measuring Lean Body Mass by US". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT03193632. Licensed CC0.

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