A nomogram incorporating Psoas muscle index for predicting tumor recurrence after liver transplantation: A retrospective study in an Eastern Asian population

Bo Yang; Guobin Huang; Dong Chen; Lai Wei; Yuanyuan Zhao; Gen Chen; Junbo Li; Lu Wang; Bowen Xie; Wei Jiang; Zhishui Chen

Heliyon (Aug 2024)

A nomogram incorporating Psoas muscle index for predicting tumor recurrence after liver transplantation: A retrospective study in an Eastern Asian population

Bo Yang,
Guobin Huang,
Dong Chen,
Lai Wei,
Yuanyuan Zhao,
Gen Chen,
Junbo Li,
Lu Wang,
Bowen Xie,
Wei Jiang,
Zhishui Chen

Affiliations

Bo Yang: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Guobin Huang: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Dong Chen: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Lai Wei: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Yuanyuan Zhao: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Gen Chen: Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
Junbo Li: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Lu Wang: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Bowen Xie: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China
Wei Jiang: Department of Gastrointestinal Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Corresponding author. Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1095 Jiefang Avenue, Wuhan 430030, China.
Zhishui Chen: Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan, 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, 430030, China; Corresponding author.

Journal volume & issue: Vol. 10, no. 16
p. e34019

Abstract

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Background and aims: Tumor recurrence significantly affects the prognostic outcomes for liver cancer patients following liver transplantation. However, existing predictive models often neglect the inclusion of body composition indicators. Hence, this research aimed to investigate the significance of the psoas muscle index (PMI) in evaluating the post-transplant prognosis of liver cancer. Methods: A retrospective analysis was conducted on liver cancer patients who underwent liver transplantation surgery. Imaging analysis was performed using CT data to calculate PMI based on the left and right psoas muscle areas. Subsequently, the patients were categorized into PMI-Low and PMI-High groups using the established cut-off values. Univariate and multivariate analyses were performed using Cox proportional hazards regression to assess the correlation between PMI and clinical outcomes, and a nomogram was constructed accordingly. Results: Among the 225 patients included in the analysis, the PMI-High group exhibited significantly improved overall survival (P < 0.001) and disease-free survival (DFS, P < 0.001) rates compared to the PMI-Low group. PMI exhibited a positive correlation with body mass index (R = 0.25, P < 0.001), but no significant correlations were observed. In the multivariate analysis, PMI (HR = 4.596, P < 0.001), MELD score (HR = 1.591, P = 0.038), and Hangzhou criteria (HR = 2.557, P < 0.001) emerged as significant predictors of DFS. The constructed nomogram, incorporating these predictors, demonstrated outstanding predictive performance. Decision curve analysis revealed the superiority of the nomogram over conventional methods. Conclusions: PMI serves as a valuable prognostic factor for tumor recurrence in liver cancer patients after liver transplantation. The established nomogram is pivotal in delivering personalized predictions of DFS.

Published in Heliyon

ISSN: 2405-8440 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Science: Science (General); Social Sciences: Social sciences (General)
Website: https://www.cell.com/heliyon/home

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