Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
100 participants
INTERVENTIONAL
2022-11-02
2027-07-01
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Define MAsS cut-point at transplant evaluation to identify those with high risk for adverse outcomes
MAsS
Add MAsS to standard of care MRI scan
Interventions
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MAsS
Add MAsS to standard of care MRI scan
Eligibility Criteria
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Inclusion Criteria
2. Patient clinically indicated for MRI during transplant candidacy evaluation
3. Adult
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Amra Medical AB
INDUSTRY
Mayo Clinic
OTHER
Responsible Party
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Elizabeth Carey
Professor of Medicine
Principal Investigators
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Elizabet Carey, MD
Role: PRINCIPAL_INVESTIGATOR
Mayo Cinic
Locations
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Mayo Clinic Arizona
Phoenix, Arizona, United States
Countries
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Central Contacts
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Facility Contacts
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Elizabeth Carey, MD
Role: primary
References
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Other Identifiers
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21-007442
Identifier Type: -
Identifier Source: org_study_id
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