Predicting Resting Energy Expenditure in Critically Ill Patients by Measuring Lean Body Mass by US
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
1 other identifier
observational
40
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jul 2017
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 19, 2017
CompletedFirst Posted
Study publicly available on registry
June 21, 2017
CompletedStudy Start
First participant enrolled
July 1, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2018
CompletedOctober 4, 2018
October 1, 2018
1 year
June 19, 2017
October 2, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
correlation between LBM derived from ultrasound MLT and REE by indirect calorimetry
The correlation of the LBM derived from ultrasound MLT to the REE measured within 24 hours of ICU admission with indirect calorimetry
24 hours of ICU admission
Secondary Outcomes (2)
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
Study Arms (1)
Study group
critically-ill patients who will be admitted to the surgical ICU for ventilatory support and will be expected to continue for more than one day US Muscle layer thickness (MLT) estimation will be used to estimate LBM and REE estimation by indirect calorimetry will be performed
Interventions
Three measurements will be made at each of three sites; mid-upper arm, forearm and thigh anteriorly and the mean value will be calculated. Measurement sites will be marked with indelible ink to ensure day-to-day consistency. 1. Thigh: MLT of the quadriceps femoris muscle (M. Vastus intermedius and M. rectus femoris) will be assessed bilaterally 2. Mid-upper arm: Muscle layer thickness will be measured over the biceps,midway between the tip of the acromion and the tip of the olecranon 3. Forearm: A point midway between the antecubital skin crease and the ulnar styloid was marked and muscle thickness down to the interosseus membrane
REE will be calculated using indirect calorimetry via metabolic module on General Electric ventilator (Engstrom Carestation and Carescape R860, GE Health care, USA) All indirect calorimetric measurements will be done using standardized technique. Gas calibration will be performed before each measurement, and the measurements will last for at least 30 minutes. Measurements will be taken with the patient lying supine and ventilator settings left unchanged for at least 60 minutes ahead of indirect calorimetry. The REE will be calculated during the first 24 hours of admission to ICU.
Eligibility Criteria
critically-ill patients who will be admitted to the surgical ICU for ventilatory support and will be expected to continue more than one day
You may qualify if:
- \- Patient requiring ventilatory support \> 24 hours
You may not qualify if:
- Patient who will require FIO2 more than 0.6.
- Air leak from the chest tube.
- Patient with body temperature \> 39oC.
- Patients with known endocrine dysfunction.
- Patients on parenteral nutrition
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of medicine, Cairo University teaching hospitals (Kasr Alainy)
Cairo, Egypt
Related Publications (9)
Rubinson L, Diette GB, Song X, Brower RG, Krishnan JA. Low caloric intake is associated with nosocomial bloodstream infections in patients in the medical intensive care unit. Crit Care Med. 2004 Feb;32(2):350-7. doi: 10.1097/01.CCM.0000089641.06306.68.
PMID: 14758147BACKGROUNDCovelli HD, Black JW, Olsen MS, Beekman JF. Respiratory failure precipitated by high carbohydrate loads. Ann Intern Med. 1981 Nov;95(5):579-81. doi: 10.7326/0003-4819-95-5-579.
PMID: 6794409BACKGROUNDWalker RN, Heuberger RA. Predictive equations for energy needs for the critically ill. Respir Care. 2009 Apr;54(4):509-21.
PMID: 19327188BACKGROUNDFung EB. Estimating energy expenditure in critically ill adults and children. AACN Clin Issues. 2000 Nov;11(4):480-97. doi: 10.1097/00044067-200011000-00002.
PMID: 11288413BACKGROUNDCampbell IT, Watt T, Withers D, England R, Sukumar S, Keegan MA, Faragher B, Martin DF. Muscle thickness, measured with ultrasound, may be an indicator of lean tissue wasting in multiple organ failure in the presence of edema. Am J Clin Nutr. 1995 Sep;62(3):533-9. doi: 10.1093/ajcn/62.3.533.
PMID: 7661114BACKGROUNDSanada K, Kearns CF, Midorikawa T, Abe T. Prediction and validation of total and regional skeletal muscle mass by ultrasound in Japanese adults. Eur J Appl Physiol. 2006 Jan;96(1):24-31. doi: 10.1007/s00421-005-0061-0. Epub 2005 Oct 19.
PMID: 16235068BACKGROUNDPineau JC, Guihard-Costa AM, Bocquet M. Validation of ultrasound techniques applied to body fat measurement. A comparison between ultrasound techniques, air displacement plethysmography and bioelectrical impedance vs. dual-energy X-ray absorptiometry. Ann Nutr Metab. 2007;51(5):421-7. doi: 10.1159/000111161. Epub 2007 Nov 20.
PMID: 18025814BACKGROUNDEly EW, Truman B, Shintani A, Thomason JW, Wheeler AP, Gordon S, Francis J, Speroff T, Gautam S, Margolin R, Sessler CN, Dittus RS, Bernard GR. Monitoring sedation status over time in ICU patients: reliability and validity of the Richmond Agitation-Sedation Scale (RASS). JAMA. 2003 Jun 11;289(22):2983-91. doi: 10.1001/jama.289.22.2983.
PMID: 12799407BACKGROUNDMuller MJ, Illner K, Bosy-Westphal A, Brinkmann G, Heller M. Regional lean body mass and resting energy expenditure in non-obese adults. Eur J Nutr. 2001 Jun;40(3):93-7. doi: 10.1007/s003940170008.
PMID: 11697446BACKGROUND
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Lecturer of anesthesia, SICU & Pain Management
Study Record Dates
First Submitted
June 19, 2017
First Posted
June 21, 2017
Study Start
July 1, 2017
Primary Completion
July 1, 2018
Study Completion
August 1, 2018
Last Updated
October 4, 2018
Record last verified: 2018-10