Impact of the preoperative skeletal muscle index on early remnant liver regeneration in living donors after liver transplantation.

Computed tomography volumetry Liver regeneration Liver transplantation Living donors Skeletal muscle index

Journal

Korean journal of transplantation
ISSN: 2671-8804
Titre abrégé: Korean J Transplant
Pays: Korea (South)
ID NLM: 101775609

Informations de publication

Date de publication:
31 Dec 2022
Historique:
received: 19 08 2022
revised: 11 09 2022
accepted: 28 09 2022
entrez: 27 1 2023
pubmed: 28 1 2023
medline: 28 1 2023
Statut: ppublish

Résumé

We investigated the correlation between the preoperative skeletal muscle index (SMI) and remnant liver regeneration after right hemihepatectomy for living-donor liver transplantation and aimed to identify preoperative predictors of greater early remnant liver regeneration in living donors. This retrospective study included 525 right hemiliver donors (mean age, 28.9±8.3 years; 345 male patients) between 2017 and 2018, who underwent computed tomography before surgery and on postoperative day (POD) 7. Preoperative anthropometry, laboratory parameters, skeletal muscle area at the third lumbar vertebral level, and liver volume before and after surgery were evaluated. Correlations were analyzed using Pearson correlation coefficients, and stepwise multiple regression analysis was performed to identify independent predictors of greater remnant liver regeneration. Remnant liver regeneration volume on POD 7 was positively correlated with body mass index (BMI; r=0.280, P<0.001) and SMI (r=0.322, P<0.001), and negatively correlated with age (r=-0.154, P<0.001) and the ratio of future remnant liver volume (FRLV) to total liver volume (TLV; r=-0.261, P<0.001). Stepwise multiple regression analysis showed that high BMI (β=0.146; P=0.001) and SMI (β=0.228, P<0.001), young age (β=-0.091, P=0.025), and a low FRLV/TLV ratio (β=-0.225, P<0.001) were predictors of greater remnant liver regeneration. High SMI and BMI, young age, and a low FRLV/TLV ratio may predict greater early remnant liver regeneration in living donors after LDLT.

Sections du résumé

Background UNASSIGNED
We investigated the correlation between the preoperative skeletal muscle index (SMI) and remnant liver regeneration after right hemihepatectomy for living-donor liver transplantation and aimed to identify preoperative predictors of greater early remnant liver regeneration in living donors.
Methods UNASSIGNED
This retrospective study included 525 right hemiliver donors (mean age, 28.9±8.3 years; 345 male patients) between 2017 and 2018, who underwent computed tomography before surgery and on postoperative day (POD) 7. Preoperative anthropometry, laboratory parameters, skeletal muscle area at the third lumbar vertebral level, and liver volume before and after surgery were evaluated. Correlations were analyzed using Pearson correlation coefficients, and stepwise multiple regression analysis was performed to identify independent predictors of greater remnant liver regeneration.
Results UNASSIGNED
Remnant liver regeneration volume on POD 7 was positively correlated with body mass index (BMI; r=0.280, P<0.001) and SMI (r=0.322, P<0.001), and negatively correlated with age (r=-0.154, P<0.001) and the ratio of future remnant liver volume (FRLV) to total liver volume (TLV; r=-0.261, P<0.001). Stepwise multiple regression analysis showed that high BMI (β=0.146; P=0.001) and SMI (β=0.228, P<0.001), young age (β=-0.091, P=0.025), and a low FRLV/TLV ratio (β=-0.225, P<0.001) were predictors of greater remnant liver regeneration.
Conclusions UNASSIGNED
High SMI and BMI, young age, and a low FRLV/TLV ratio may predict greater early remnant liver regeneration in living donors after LDLT.

Identifiants

pubmed: 36704805
doi: 10.4285/kjt.22.0039
pii: kjt-36-4-259
pmc: PMC9832594
doi:

Types de publication

Journal Article

Langues

eng

Pagination

259-266

Informations de copyright

© 2022 The Korean Society for Transplantation.

Déclaration de conflit d'intérêts

Conflict of Interest No potential conflict of interest relevant to this article was reported.

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Auteurs

Sunyoung Lee (S)

Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Kyoung Won Kim (KW)

Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Heon-Ju Kwon (HJ)

Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Jeongjin Lee (J)

School of Computer Science and Engineering, Soongsil University, Seoul, Korea.

Gi-Won Song (GW)

Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Sung-Gyu Lee (SG)

Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Classifications MeSH