Abstract Importance: Recent studies have shown that the body composition can significantly predict survival in patients with malignant diseases. This study aims to evaluate the importance of body composition for predicting short- and long-term survival after liver transplantation. Design, Setting, and Participants: Body composition of all patients who underwent liver transplantation between January 2010 and December 2022 was assessed fully automated with artificial intelligence (AI) based technique. Clinical data such as demographic data and pre-, intra- and postoperative data were retrospectively reported. Uni- and multivariate regression analyses were performed to identify independent prognostic factors for survival. Results: There were 346 patients with a mean age of 52.2 years (SD 10.8) and a mean BMI of 26.4 kg/m2 (SD 4.8) included in this study. The univariate and multivariate cox regression analyses identified the ratio of the subcutaneous fat volume to muscle volume (FSM-ratio) as well as the ratio of the visceral fat volume to muscle volume (FVM-ratio) as significant prognostic parameter for the overall survival. Conclusion: Based on the results of our study we can conclude that the FVM-ratio has an essential impact on overall survival after liver transplantation. The fully automated AI based assessment is fast, accurate and investigator independent.
No takes yet. Share an insight, caveat, or question.
Malamutmann et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: