Validation of Bedside Ultrasound to Predict Body Composition in Non- and Critically Ill Patients
USVALID
1 other identifier
interventional
250
1 country
1
Brief Summary
The prospective study will include 200 patients and 50 critically ill patients, who had an abdominal computed tomography (CT) scan including the L3 level for any clinical reason. Ultrasound scans of the anterior thighs and forearms will be taken after the CT scan within 48 hours. Bioelectrical impedance analysis (BIA) will also be performed. In addition muscle strength, mobility, physical function and nutrition will be assessed. Primary outcome is the prediction of CT-based whole body muscle and fat volume and BIA-based fat and lean body mass from ultrasound-based muscle and fat thickness. Other secondary outcomes include the intra- and interrater reliability of the CT evaluation and ultrasound examination of muscle and fat mass. The relationship between clinical aspects (strength, mobility, physical function, nutrition) and whole body composition is another secondary outcome.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2017
Typical duration for not_applicable
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
December 30, 2016
CompletedStudy Start
First participant enrolled
January 1, 2017
CompletedFirst Posted
Study publicly available on registry
May 19, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 22, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2019
CompletedAugust 30, 2019
August 1, 2019
2.2 years
December 30, 2016
August 28, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
prediction (r2) of CT-based whole body muscle volume from ultrasound-based muscle thickness
In a linear regression model, the dependent variable is CT-based whole body muscle volume. The independent variable is ultrasound-based muscle thickness. The prediction (r2) of CT-based muscle volume in the multiple linear regression model is the outcome.
Ultrasound measurement once-only within 48 hours after the CT scan
prediction (r2) of CT-based whole body fat volume from ultrasound-based fat thickness
In a linear regression model, the dependent variable is CT-based whole body fat volume. The independent variable is ultrasound-based fat thickness. The prediction (r2) of CT-based fat volume in the multiple linear regression model is the outcome.
Ultrasound measurement once-only within 48 hours after the CT scan
Secondary Outcomes (5)
prediction (r2) of BIA-based whole body muscle volume from ultrasound-based muscle thickness
BIA measurement once-only within 48 hours after the CT scan
prediction (r2) of BIA-based whole body fat volume from ultrasound-based fat thickness
BIA measurement once-only within 48 hours after the CT scan
intrarater reliability (bias in Bland Altman analysis) of ultrasound muscle/fat thickness
repeated US measurement in 60 patients once-only within 48 hours after the CT scan
interrater reliability (bias in Bland Altman analysis) of ultrasound muscle/fat thickness
repeated US measurement in 60 patients once-only within 48 hours after the CT scan
muscle strength in patients with different CT-based body compositions (sarcopenia, malnutrition, obesity, sarcopenic obesity)
muscle strength measurement once-only within 48 hours after the CT scan
Study Arms (1)
Body Composition Measurements
OTHERBody composition measurements comprise the ultrasound measurement of fat and muscle thickness of both upper arms and thighs, the bioelectrical impedance analysis (BIA), measurement of weight, handgrip strength, overall muscle strength (Medical Research Council scale) and questionnaires about physical activity, nutrition and fluid status.
Interventions
Body composition measurements comprise the ultrasound measurement of fat and muscle thickness of both upper arms and thighs, the bioelectrical impedance analysis (BIA), measurement of weight, handgrip strength, overall muscle strength (Medical Research Council scale) and questionnaires about physical activity, nutrition and fluid status.
Eligibility Criteria
You may qualify if:
- cross-sectional abdominal CT scan including the level of L3 vertebra for any clinical reason
- study-related ultrasound examination must take place within 48 hours of CT
You may not qualify if:
- patients younger than 18 years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Medical University of Vienna
Vienna, 1180, Austria
Related Publications (6)
Shen W, Punyanitya M, Wang Z, Gallagher D, St-Onge MP, Albu J, Heymsfield SB, Heshka S. Visceral adipose tissue: relations between single-slice areas and total volume. Am J Clin Nutr. 2004 Aug;80(2):271-8. doi: 10.1093/ajcn/80.2.271.
PMID: 15277145BACKGROUNDSanada 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: 16235068BACKGROUNDWeijs PJ, Looijaard WG, Dekker IM, Stapel SN, Girbes AR, Oudemans-van Straaten HM, Beishuizen A. Low skeletal muscle area is a risk factor for mortality in mechanically ventilated critically ill patients. Crit Care. 2014 Jan 13;18(2):R12. doi: 10.1186/cc13189.
PMID: 24410863BACKGROUNDParis MT, Mourtzakis M, Day A, Leung R, Watharkar S, Kozar R, Earthman C, Kuchnia A, Dhaliwal R, Moisey L, Compher C, Martin N, Nicolo M, White T, Roosevelt H, Peterson S, Heyland DK. Validation of Bedside Ultrasound of Muscle Layer Thickness of the Quadriceps in the Critically Ill Patient (VALIDUM Study). JPEN J Parenter Enteral Nutr. 2017 Feb;41(2):171-180. doi: 10.1177/0148607116637852. Epub 2016 Jul 11.
PMID: 26962061BACKGROUNDPrado CM, Heymsfield SB. Lean tissue imaging: a new era for nutritional assessment and intervention. JPEN J Parenter Enteral Nutr. 2014 Nov;38(8):940-53. doi: 10.1177/0148607114550189. Epub 2014 Sep 19.
PMID: 25239112BACKGROUNDTakai Y, Ohta M, Akagi R, Kato E, Wakahara T, Kawakami Y, Fukunaga T, Kanehisa H. Applicability of ultrasound muscle thickness measurements for predicting fat-free mass in elderly population. J Nutr Health Aging. 2014;18(6):579-85. doi: 10.1007/s12603-013-0419-7.
PMID: 24950147BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Arabella Fischer, Dr.
Medical University of Vienna
- STUDY DIRECTOR
Michael Hiesmayr, Prof. Dr.
Medical University of Vienna
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Dr.
Study Record Dates
First Submitted
December 30, 2016
First Posted
May 19, 2017
Study Start
January 1, 2017
Primary Completion
March 22, 2019
Study Completion
September 1, 2019
Last Updated
August 30, 2019
Record last verified: 2019-08
Data Sharing
- IPD Sharing
- Will not share