Body Composition Ultrasound for Patients With Heart Failure
Validation of Body Composition Ultrasound for Identification of Sarcopenia and Cachexia in Patients With Heart Failure
1 other identifier
observational
48
1 country
1
Brief Summary
This study aims to determine whether skeletal muscle ultrasound is a useful technique for measuring low muscle mass in patients with heart failure (HF). Muscle wasting and abnormal muscle quality has been identified in patients with advanced HF and may contribute to patients' physical limitations. However assessments of body composition for patients with HF currently rely on the research tool of dual X-ray absorptiometry (DXA) for measurements of skeletal muscle mass, which is limited by cost, use of radiation, and the need for patients to be transported to the DXA scanner for imaging. Therefore this observational study is designed to validate a new approach that allows a safe and portable assessment of body composition.
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 May 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 10, 2019
CompletedFirst Posted
Study publicly available on registry
May 14, 2019
CompletedStudy Start
First participant enrolled
May 24, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedJanuary 9, 2026
January 1, 2026
4.6 years
May 10, 2019
January 7, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Primary DXA endpoint: fat free mass (FFM) measured by DXA
This is the fat free mass calculated by whole-body DXA, which is the gold standard for measuring skeletal muscle mass
On study day 1
Primary ultrasound endpoint: FFM measured by BodyMetrix ultrasound
This is the muscle mass estimation from the BodyMetrix ultrasound device which the investigators are seeking to validate as a method of body composition assessment
On study day 1
Secondary Outcomes (2)
Handgrip strength
On study day 1
Sit-to-stand test
On study day 1
Study Arms (4)
Healthy volunteers
Adults without HF or prior heart transplantation
Participants in our existing LVAD body composition study
Currently-enrolled LVAD body composition participants, who chose to participate in this study on the same day as a DXA scan already scheduled for study #12026
Patients with heart failure, an LVAD or heart transplantation
Any patients with a current diagnosis of HF, with or without an LVAD, or prior HF now status post heart transplantation
Inpatients with heart failure, LVAD, heart transplantation
Patients with a current diagnosis of HF, with or without an LVAD, or prior HF now status post heart transplantation, currently admitted as inpatients at Tufts Medical Center. The 6/20/2019 protocol update includes these patients who will participate without a DXA scan (which can only be performed as an outpatient).
Interventions
Investigators will make ultrasound measurements of fat and muscle thickness at 7 positions on the arm, chest wall, and leg (subject's dominant side) using the BodyMetrix BX 2000 ultrasound machine. Clear ultrasound gel will be applied to the skin, a probe placed against the skin, and the fat/muscle thickness measurement made five times at each position. The gel is then wiped away. The images are analyzed by the BodyView Software and estimations of fat and muscle mass calculated. These will be compared to the reference technique of whole-body DXA imaging.
Investigators will make ultrasound measurements of fat and muscle thickness at 7 positions on the arm, chest wall, and leg (subject's dominant side) using the BodyMetrix BX 2000 ultrasound machine. Clear ultrasound gel will be applied to the skin, a probe placed against the skin, and the fat/muscle thickness measurement made five times at each position. The gel is then wiped away. The images are analyzed by the BodyView Software and estimations of fat and muscle mass calculated. For inpatients currently admitted to the hospital, whole-body DXA imaging cannot be performed, as so the only assessment of body composition will be with the ultrasound.
Eligibility Criteria
Three study populations will be recruited for this observational validation study: Cohort 1: Healthy volunteers Cohort 2: Participants in our existing left ventricular assist device (LVAD) body composition study (#12026) who consent to undergo skeletal muscle ultrasound the same day as an LVAD body composition study visit that already includes the DXA and handgrip strength procedures Cohort 3: Patients with heart failure, an LVAD or heart transplantation Cohort 4: Inpatients with heart failure, an LVAD or heart transplantation, currently admitted to Tufts Medical Center
You may qualify if:
- Cohort 1: Healthy volunteers:
- + years
- No history of heart failure
- Not pregnant
- Willing to take a urinary pregnancy test if there is a possibility of pregnancy
- Able to freely provide informed consent
- Cohort 2: Participants in our existing left ventricular assist device (LVAD) body composition study (#12026) who consent to undergo skeletal muscle ultrasound the same day as an LVAD body composition study visit that already includes the DXA and handgrip strength procedures:
- Meet the eligibility criteria outlined in study #12026
- Cohort 3: Patients with heart failure, an LVAD or heart transplantation
- + years
- Not pregnant
- Willing to take a urinary pregnancy test if there is a possibility of pregnancy
You may not qualify if:
- Patients requiring temporary mechanical circulatory support
- Pregnant women, or women who report there is a possibility they could be pregnant and decline to complete a pregnancy test
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tufts Medical Center
Boston, Massachusetts, 02111, United States
Related Publications (4)
Perkisas S, Baudry S, Bauer J, Beckwee D, De Cock AM, Hobbelen H, Jager-Wittenaar H, Kasiukiewicz A, Landi F, Marco E, Merello A, Piotrowicz K, Sanchez E, Sanchez-Rodriguez D, Scafoglieri A, Cruz-Jentoft A, Vandewoude M. Application of ultrasound for muscle assessment in sarcopenia: towards standardized measurements. Eur Geriatr Med. 2018 Dec;9(6):739-757. doi: 10.1007/s41999-018-0104-9. Epub 2018 Sep 17.
PMID: 34674473BACKGROUNDAbe T, Fujita E, Thiebaud RS, Loenneke JP, Akamine T. Ultrasound-Derived Forearm Muscle Thickness Is a Powerful Predictor for Estimating DXA-Derived Appendicular Lean Mass in Japanese Older Adults. Ultrasound Med Biol. 2016 Sep;42(9):2341-4. doi: 10.1016/j.ultrasmedbio.2016.05.008. Epub 2016 Jun 17.
PMID: 27321173BACKGROUNDAbe T, Loenneke JP, Young KC, Thiebaud RS, Nahar VK, Hollaway KM, Stover CD, Ford MA, Bass MA, Loftin M. Validity of ultrasound prediction equations for total and regional muscularity in middle-aged and older men and women. Ultrasound Med Biol. 2015 Feb;41(2):557-64. doi: 10.1016/j.ultrasmedbio.2014.09.007. Epub 2014 Nov 25.
PMID: 25444689BACKGROUNDTakai 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
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Amanda R Vest, MBBS, MPH
Tufts Medical Center
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 10, 2019
First Posted
May 14, 2019
Study Start
May 24, 2019
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
January 9, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share