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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05477277
Other study ID # 21-007442
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date November 2, 2022
Est. completion date July 2024

Study information

Verified date October 2023
Source Mayo Clinic
Contact Latasha Bunkley
Phone 480.342.5756
Email bunkley.latasha@mayo.edu
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Prospective natural history pilot study to explore the link between muscle composition using an MRI-based Muscle Assessment Score (MAsS) and adverse outcomes in liver transplant candidates.


Description:

Sarcopenia, characterized by the progressive loss of muscle volume and function, is a common and major complication in end-stage liver disease which significantly contributes to adverse outcomes and mortality as well as hampers successful outcomes for treatments such as liver transplant (LT). High resolution image-based techniques have been instrumental in furthering our understanding of body composition in sarcopenia specifically and human health in general. While several methods exist to evaluate body composition, imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MRI) enable capitalization of images taken as part of standard practice as well as append already clinical examinations with brief sequences tailored for mapping muscle and body composition. Opportunistic application of this imaging-based body composition assessment to patients in a liver transplant context has revealed a high prevalence of sarcopenia (low muscle volume relative to age and sex) and pathological muscle fat infiltration (myosteatosis). Furthermore, a recent long-term (6-years post-LT) MRI-based retrospective study showed associations of myosteatosis to increased graft loss and mortality after transplant. The combination of MRI-based thigh muscle volume and fat infiltration has been suggested as a more complete description of muscle composition with a stronger link to hospitalization, poor functional activities of daily life, and metabolic co-morbidities in general population and subjects presenting with non-alcoholic fatty liver disease. A recently submit paper explored the predictive power of this combination based on 40 000 participants in the UK biobank and found that the presence of adverse muscle composition, that is the combination of lower-than-expected muscle volume and high muscle fat infiltration, showed to be a strong and independent predictor of all-cause mortality comparable to that of previous cancer diagnosis and smoking. The same MRI-sequence and body composition assessment has successfully been implemented in small pilot studies before and after LT, both within weeks and years after LT, and presented at recent scientific conferences. There is a lack of knowledge in how to fully identity patients indicted for liver transplant that are of very high risk for adverse outcomes and mortality in standardized fashion. The aim is to use an MRI-based Muscle Assessment Score (MAsS), which includes both muscle volume and fat infiltration, at the transplant candidacy evaluation and other follow-up MRI examinations as clinically indicated, as an objective, standardized, and quantitative measure of muscle health and explore the link between muscle composition and adverse outcomes and mortality. In addition, there are growing numbers of high-risk donor livers, such as presenting with steatosis or exposed to prolonged ischemia time. A co-primary aim is to gather information on the association between transplant recipient muscle composition and donor liver characteristics to one-year post-LT adverse outcomes and mortality.


Recruitment information / eligibility

Status Recruiting
Enrollment 100
Est. completion date July 2024
Est. primary completion date July 2024
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: 1. All patients with end-stage liver disease undergoing evaluation for liver transplantation 2. Patient clinically indicated for MRI during transplant candidacy evaluation 3. Adult Exclusion Criteria: 1. Contra indication to MRI

Study Design


Intervention

Diagnostic Test:
MAsS
Add MAsS to standard of care MRI scan

Locations

Country Name City State
United States Mayo Clinic Arizona Phoenix Arizona

Sponsors (2)

Lead Sponsor Collaborator
Mayo Clinic Amra Medical AB

Country where clinical trial is conducted

United States, 

References & Publications (14)

Borga M, Thomas EL, Romu T, Rosander J, Fitzpatrick J, Dahlqvist Leinhard O, Bell JD. Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies. NMR Biomed. 2015 Dec;28(12):1747-53. doi: 10.1002/nbm.3432. Epub 2015 Nov 2. — View Citation

Borga M, West J, Bell JD, Harvey NC, Romu T, Heymsfield SB, Dahlqvist Leinhard O. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med. 2018 Jun;66(5):1-9. doi: 10.1136/jim-2018-000722. Epub 2018 Mar 25. — View Citation

Carey EJ, Lai JC, Sonnenday C, Tapper EB, Tandon P, Duarte-Rojo A, Dunn MA, Tsien C, Kallwitz ER, Ng V, Dasarathy S, Kappus M, Bashir MR, Montano-Loza AJ. A North American Expert Opinion Statement on Sarcopenia in Liver Transplantation. Hepatology. 2019 Nov;70(5):1816-1829. doi: 10.1002/hep.30828. Epub 2019 Aug 19. — View Citation

Feng S, Goodrich NP, Bragg-Gresham JL, Dykstra DM, Punch JD, DebRoy MA, Greenstein SM, Merion RM. Characteristics associated with liver graft failure: the concept of a donor risk index. Am J Transplant. 2006 Apr;6(4):783-90. doi: 10.1111/j.1600-6143.2006.01242.x. Erratum In: Am J Transplant. 2018 Dec;18(12):3085. — View Citation

Flores A, Asrani SK. The donor risk index: A decade of experience. Liver Transpl. 2017 Sep;23(9):1216-1225. doi: 10.1002/lt.24799. — View Citation

Karlsson A, Rosander J, Romu T, Tallberg J, Gronqvist A, Borga M, Dahlqvist Leinhard O. Automatic and quantitative assessment of regional muscle volume by multi-atlas segmentation using whole-body water-fat MRI. J Magn Reson Imaging. 2015 Jun;41(6):1558-69. doi: 10.1002/jmri.24726. Epub 2014 Aug 11. — View Citation

Linge J, Borga M, West J, Tuthill T, Miller MR, Dumitriu A, Thomas EL, Romu T, Tunon P, Bell JD, Dahlqvist Leinhard O. Body Composition Profiling in the UK Biobank Imaging Study. Obesity (Silver Spring). 2018 Nov;26(11):1785-1795. doi: 10.1002/oby.22210. Epub 2018 May 22. — View Citation

Linge J, Ekstedt M, Dahlqvist Leinhard O. Adverse muscle composition is linked to poor functional performance and metabolic comorbidities in NAFLD. JHEP Rep. 2020 Oct 28;3(1):100197. doi: 10.1016/j.jhepr.2020.100197. eCollection 2021 Feb. — View Citation

Linge J, Heymsfield SB, Dahlqvist Leinhard O. On the Definition of Sarcopenia in the Presence of Aging and Obesity-Initial Results from UK Biobank. J Gerontol A Biol Sci Med Sci. 2020 Jun 18;75(7):1309-1316. doi: 10.1093/gerona/glz229. — View Citation

Linge J, Petersson M, Forsgren MF, Sanyal AJ, Dahlqvist Leinhard O. Adverse muscle composition predicts all-cause mortality in the UK Biobank imaging study. J Cachexia Sarcopenia Muscle. 2021 Dec;12(6):1513-1526. doi: 10.1002/jcsm.12834. Epub 2021 Oct 29. — View Citation

Montano-Loza AJ, Angulo P, Meza-Junco J, Prado CM, Sawyer MB, Beaumont C, Esfandiari N, Ma M, Baracos VE. Sarcopenic obesity and myosteatosis are associated with higher mortality in patients with cirrhosis. J Cachexia Sarcopenia Muscle. 2016 May;7(2):126-35. doi: 10.1002/jcsm.12039. Epub 2015 Jun 9. — View Citation

Shenvi SD, Taber DJ, Hardie AD, Botstein JO, McGillicuddy JW. Assessment of magnetic resonance imaging derived fat fraction as a sensitive and reliable predictor of myosteatosis in liver transplant recipients. HPB (Oxford). 2020 Jan;22(1):102-108. doi: 10.1016/j.hpb.2019.06.006. Epub 2019 Aug 9. — View Citation

West J, Dahlqvist Leinhard O, Romu T, Collins R, Garratt S, Bell JD, Borga M, Thomas L. Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies. PLoS One. 2016 Sep 23;11(9):e0163332. doi: 10.1371/journal.pone.0163332. eCollection 2016. — View Citation

West J, Romu T, Thorell S, Lindblom H, Berin E, Holm AS, Astrand LL, Karlsson A, Borga M, Hammar M, Leinhard OD. Precision of MRI-based body composition measurements of postmenopausal women. PLoS One. 2018 Feb 7;13(2):e0192495. doi: 10.1371/journal.pone.0192495. eCollection 2018. — View Citation

* Note: There are 14 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Muscle assessment score (MAsS) The MAsS is a composite score of muscle fat index (% of muscle fat normalized to sex, weight in kg and height in meters) and muscle volume index (muscle volume in liters normalized to patient sex, height in meters and weight in kg) 1 year
Primary Adverse outcomes Number of pre- and post-transplant inpatient days 1 year
Primary Adverse outcomes Number of pre- and post-transplant ICU days 1 year
Primary Adverse outcomes Number of days alive outside of the hospital in the first year after liver transplant 1 year
Primary Adverse outcomes Mortality within the first year after liver transplant 1 year
Primary MAsS changes while waiting for liver transplant In patients who remain on the waitlist, serial MAsS measurements (see Outcome 1) will be taken and changes over time will be assessed 1 year
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