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Combination of Fat-Free Muscle Index and Total Spontaneous Portosystemic Shunt Area Identifies High-Risk Cirrhosis Patients.

Frontiers in medicine

Authors: Anton Faron, Jasmin Abu-Omar, Johannes Chang, Nina Böhling, Alois Martin Sprinkart, Ulrike Attenberger, Jürgen K Rockstroh, Andreas Minh Luu, Christian Jansen, Christian P Strassburg, Jonel Trebicka, Julian Luetkens, Michael Praktiknjo

BACKGROUND: Sarcopenia and spontaneous portosystemic shunts (SPSSs) are common complications of liver cirrhosis, and both are associated with higher rates of hepatic encephalopathy (HE) development in these patients. This study aimed to evaluate the simultaneous impact of skeletal muscle mass and spontaneous portosystemic shunting, measured from routine diagnostic CT on outcomes in patients with liver cirrhosis.

METHODS: Retrospective analysis of patients with cirrhosis. Skeletal muscle mass [including fat-free muscle index (FFMI) as a surrogate for sarcopenia] and total cross-sectional spontaneous portosystemic shunt area (TSA) were quantified from CT scans. The primary endpoint was the development of HE, while the secondary endpoint was 1-year mortality.

RESULTS: One hundred fifty-six patients with liver cirrhosis were included. Patients with low (L-) FFMI and large (L-)TSA showed higher rates of HE development. In multivariable analysis, L-FFMI and L-TSA were independent predictors of HE development (L-FFMI HR = 2.69, CI 1.22-5.93; L-TSA, HR = 2.50, CI = 1.24-4.72) and 1-year mortality (L-FFMI, HR = 7.68, CI 1.75-33.74; L-TSA, HR = 3.05, CI 1.32-7.04). The simultaneous presence of L-FFMI and L-TSA exponentially increased the risk of HE development (HR 12.79, CI 2.93-55.86) and 1-year mortality (HR 13.66, CI 1.75-106.50). An easy sequential algorithm including FFMI and TSA identified patients with good, intermediate, and poor prognoses.

CONCLUSION: This study indicates synergy between low skeletal muscle mass and large TSA to predict exponentially increased risk of HE development and mortality in liver cirrhosis. Simultaneous screening for sarcopenia and TSA from routine diagnostic CT may help to improve the identification of high-risk patients using an easy-to-apply algorithm.

CLINICAL TRIAL REGISTRATION: [ClinicalTrials.gov], identifier [NCT03584204].

Copyright © 2022 Faron, Abu-Omar, Chang, Böhling, Sprinkart, Attenberger, Rockstroh, Luu, Jansen, Strassburg, Trebicka, Luetkens and Praktiknjo.

PMID: 35492329

Participating cluster members