Myosteatosis and the clinical outcomes of patients with liver cirrhosis: A meta-analysis

Author:

Xue Haojie,Liu Yihan,Liu Yang,Li Han,Liang Qian,Ma Longhui,Liu JunyingORCID,Zhao Ming

Abstract

Objectives This study aimed to examine the potential correlation between myosteatosis and the prognosis of patients diagnosed with liver cirrhosis by a meta-analysis. Methods Cohort studies of relevance were acquired through comprehensive searches of the Medline, Web of Science, and Embase databases. To account for heterogeneity, a random-effects model was employed to combine the findings. Results The meta-analysis included 10 retrospective and four prospective cohort studies, encompassing a total of 4287 patients diagnosed with cirrhosis. The pooled findings indicated a notable decline in transplant-free survival (TFS) among individuals with liver cirrhosis and myosteatosis compared to those without this condition (risk ratio: 1.94; 95% confidence interval: 1.61 to 2.34, p < 0.001; I2 = 49%). The predefined subgroup analyses demonstrated consistent findings across various categories, including Asian and non-Asian studies, prospective and retrospective cohort studies, patients with cirrhosis overall and those who underwent transjugular intrahepatic portosystemic shunt, studies with different follow-up durations (< or ≥ 24 months), studies employing univariate and multivariate analyses, and studies with and without an adjustment for sarcopenia (p > 0.05 for all subgroup differences). Additionally, Egger’s regression test indicated the presence of significant publication bias (p = 0.044). However, trim-and-fill analysis by including three hypothesized studies showed consistent results. Conclusions The presence of myosteatosis in individuals diagnosed with liver cirrhosis may potentially be linked to a poor TFS prognosis. Further investigations are required to ascertain whether enhancing myosteatosis could potentially yield a survival advantage for this particular patient population.

Publisher

Public Library of Science (PLoS)

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