» Articles » PMID: 37086078

Adipopenia in Body Composition Analysis: a Promising Imaging Biomarker and Potential Predictive Factor for Patients Undergoing Transjugular Intrahepatic Portosystemic Shunt Placement

Abstract

Objective: Body tissue composition plays a crucial role in the multisystemic processes of advanced liver disease and has been shown to be influenced by transjugular intrahepatic portosystemic shunt (TIPS). A differentiated analysis of the various tissue compartments has not been performed until now. The purpose of this study was to evaluate the value of imaging biomarkers derived from automated body composition analysis (BCA) to predict clinical and functional outcome.

Methods: A retrospective analysis of 56 patients undergoing TIPS procedure between 2013 and 2021 was performed. BCA on the base of pre-interventional CT examination was used to determine quantitative data as well as ratios of bone, muscle and fat masses. Furthermore, a BCA-derived sarcopenia marker was investigated. Regarding potential correlations between BCA imaging biomarkers and the occurrence of hepatic encephalopathy (HE) as well as 1-year survival, an exploratory analysis was conducted.

Results: No BCA imaging biomarker was associated with the occurrence of HE after TIPS placement. However, there were significant differences in alive and deceased patients regarding the BCA-derived sarcopenia marker (alive: 1.60, deceased: 1.83, = 0.046), ratios of intra- and intermuscular fat/skeletal volume (alive: 0.53, deceased: 0.31, = 0.015) and intra- and intermuscular fat/muscle volume (alive: 0.21, deceased: 0.14, = 0.031).

Conclusion: A lower amount of intra- and intermuscular adipose tissue might have protective effects regarding liver derived complications and survival.

Advances In Knowledge: Precise characterization of body tissue components with automated BCA might provide prognostic information in patients with advanced liver disease undergoing TIPS procedure.

Citing Articles

Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis.

Salhofer L, Bonella F, Meetschen M, Umutlu L, Forsting M, Schaarschmidt B J Thorac Imaging. 2024; 40(2).

PMID: 39183570 PMC: 11837968. DOI: 10.1097/RTI.0000000000000803.


AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study.

Muller L, Mahringer-Kunz A, Auer T, Fehrenbach U, Gebauer B, Haubold J JHEP Rep. 2024; 6(8):101125.

PMID: 39139458 PMC: 11321290. DOI: 10.1016/j.jhepr.2024.101125.


The Value of Neutrophil-to-Lymphocyte Ratio in Predicting Mortality After Transjugular Intrahepatic Portosystemic Shunt Placement.

Tang H, Zhou L, Wang C, Zha Y, Fan C, Zhong B J Inflamm Res. 2024; 17:5211-5221.

PMID: 39104908 PMC: 11299797. DOI: 10.2147/JIR.S467583.


Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis.

Westholter D, Haubold J, Welsner M, Salhofer L, Wienker J, Sutharsan S Sci Rep. 2024; 14(1):9465.

PMID: 38658613 PMC: 11043331. DOI: 10.1038/s41598-024-59622-2.


Transjugular Intrahepatic Portosystemic Shunt Placement: Effects on Nutritional Status in Cirrhotic Patients.

de Felice I, Ridola L, Riggio O, Faccioli J, Nardelli S, Gioia S J Clin Med. 2023; 12(22).

PMID: 38002642 PMC: 10672441. DOI: 10.3390/jcm12227029.

References
1.
Montomoli J, Holland-Fischer P, Bianchi G, Gronbaek H, Vilstrup H, Marchesini G . Body composition changes after transjugular intrahepatic portosystemic shunt in patients with cirrhosis. World J Gastroenterol. 2010; 16(3):348-53. PMC: 2807956. DOI: 10.3748/wjg.v16.i3.348. View

2.
Benmassaoud A, Roccarina D, Arico F, Leandro G, Yu B, Cheng F . Sarcopenia Does Not Worsen Survival in Patients With Cirrhosis Undergoing Transjugular Intrahepatic Portosystemic Shunt for Refractory Ascites. Am J Gastroenterol. 2020; 115(11):1911-1914. DOI: 10.14309/ajg.0000000000000959. View

3.
Merli M, Giusto M, Lucidi C, Giannelli V, Pentassuglio I, Di Gregorio V . Muscle depletion increases the risk of overt and minimal hepatic encephalopathy: results of a prospective study. Metab Brain Dis. 2012; 28(2):281-4. DOI: 10.1007/s11011-012-9365-z. View

4.
Muller M, Bottcher J, Selberg O, Weselmann S, Boker K, Schwarze M . Hypermetabolism in clinically stable patients with liver cirrhosis. Am J Clin Nutr. 1999; 69(6):1194-201. DOI: 10.1093/ajcn/69.6.1194. View

5.
. EASL Clinical Practice Guidelines on nutrition in chronic liver disease. J Hepatol. 2018; 70(1):172-193. PMC: 6657019. DOI: 10.1016/j.jhep.2018.06.024. View