ClinicalTrials.gg
RecruitingNCT05477277Updated Aug 5, 2026

Adverse Outcomes and Mortality in Liver Transplant

An interventional study of MAsS in End Stage Liver DIsease, Sarcopenia and Sarcopenic Obesity, sponsored by Mayo Clinic. Recruiting at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-05.

Sponsored by Mayo Clinic · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Started Nov 2022; still recruiting 4 years later.
Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study 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.

Read the detailed 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.

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Conditions studied

  • End Stage Liver DIsease
  • Sarcopenia
  • Sarcopenic Obesity
  • Cirrhosis
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In context

End Stage Liver Disease

154 studies on the registry are indexed under End Stage Liver Disease; 30 are open to participants now.

This study's planned enrollment of 100 is above the median of 63 across 94 interventional studies indexed under End Stage Liver Disease.

Browse End Stage Liver Disease studies →

Lead sponsor

Mayo Clinic is the lead sponsor of 3,269 studies on the registry; 672 are open to participants now.

Of its 452 completed or terminated interventional studies of FDA-regulated products, 321 (71%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion Criteria:

1. Contra indication to MRI

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
100 participants (estimated)

Study arms

  • Experimental
    Define MAsS cut-point at transplant evaluation to identify those with high risk for adverse outcomes

    Diagnostic Test: MAsS

Interventions

  • Diagnostic testMAsS

    Add MAsS to standard of care MRI scan

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What researchers measure

Primary outcomes

  1. 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)

    Time frame: 1 year

  2. Adverse outcomes

    Number of pre- and post-transplant inpatient days

    Time frame: 1 year

  3. Adverse outcomes

    Number of pre- and post-transplant ICU days

    Time frame: 1 year

  4. Adverse outcomes

    Number of days alive outside of the hospital in the first year after liver transplant

    Time frame: 1 year

  5. Adverse outcomes

    Mortality within the first year after liver transplant

    Time frame: 1 year

  6. 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

    Time frame: 1 year

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Study locations

1 of 1 sites recruiting
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References and documents

Publications

  • 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. PubMed 26768490 ↗
  • 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. PubMed 29581385 ↗
  • 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. PubMed 31220351 ↗
  • 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. PubMed 16539636 ↗
  • 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. PubMed 28590542 ↗
  • 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. PubMed 25111561 ↗
  • 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. PubMed 29785727 ↗
  • 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. PubMed 31642894 ↗
  • 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. PubMed 33598647 ↗
  • 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. PubMed 34713982 ↗
  • 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. PubMed 27493866 ↗
  • 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. PubMed 31405777 ↗
  • 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. PubMed 27662190 ↗
  • 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. PubMed 29415060 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 5, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05477277
Lead sponsor
Mayo Clinic
Collaborators
Amra Medical AB
Responsible party
Elizabeth Carey (Professor of Medicine, Mayo Clinic) — Principal investigator
First posted
Jul 28, 2022
Start date
Nov 2, 2022
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Aug 5, 2026

Study contacts

Latasha Bunkley
Contact
bunkley.latasha@mayo.edu
480.342.5756
Elizabet Carey, MD
principal investigator · Mayo Cinic

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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