Cargando…

A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis

BACKGROUND: Sarcopenia and visceral adiposity have been shown to be associated with postoperative complications in numerous diseases. However, their effects on the postoperative complications of end-stage hepatic alveolar echinococcosis (HAE) patients undergoing ex vivo liver resection and autotrans...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Ting, Wang, Tao, Qiu, Yiwen, Shen, Shu, Yang, Xianwei, Yang, Yi, Huang, Bin, Wang, Wentao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627200/
https://www.ncbi.nlm.nih.gov/pubmed/34848980
http://dx.doi.org/10.2147/IDR.S340478
_version_ 1784606805147516928
author Sun, Ting
Wang, Tao
Qiu, Yiwen
Shen, Shu
Yang, Xianwei
Yang, Yi
Huang, Bin
Wang, Wentao
author_facet Sun, Ting
Wang, Tao
Qiu, Yiwen
Shen, Shu
Yang, Xianwei
Yang, Yi
Huang, Bin
Wang, Wentao
author_sort Sun, Ting
collection PubMed
description BACKGROUND: Sarcopenia and visceral adiposity have been shown to be associated with postoperative complications in numerous diseases. However, their effects on the postoperative complications of end-stage hepatic alveolar echinococcosis (HAE) patients undergoing ex vivo liver resection and autotransplantation (ELRA) remain unclear. METHODS: This retrospective study included 101 end-stage HAE patients who underwent ELRA from January 2014 to August 2020. We measured the skeletal muscle and adipose tissue of all patients at the level of the third lumbar vertebra on plain abdominal computed tomography (CT) images and subsequently derived an equation via least absolute shrinkage and selection operator (LASSO) regression analysis to calculate the sarcopenia score. Univariate and multivariate regression were performed to reveal the relationship between major postoperative complications and perioperative clinical data, and the obtained nomogram was validated with the bootstrapping method. RESULTS: The sarcopenia score was constructed as a personalized indicator to evaluate sarcopenia and visceral adiposity in each patient. Logistic regression analysis finally selected duration from primary diagnosis to obvious symptoms (OR=1.024, 95% CI, 1.007–1.042), surgical time (OR=1.003, 95% CI, 0.999–1.007) and sarcopenia score (OR=4.283, 95% CI, 1.739–10.551) as independent risk factors for predicting major postoperative complications following ELRA for end-stage HAE patients. The area under the receiver operating characteristic curve (AUROC) of 0.807 (95% CI, 0.720–0.895) and the calibration curve for this prediction model were satisfactory. CONCLUSION: The sarcopenia score, which systematically evaluates the skeletal muscle and adipose tissue of end-stage HAE patients, was a significant predictive factor for major postoperative complications of ELRA. Relevant interventions should be conducted for those who have a high risk of postoperative complications according to the nomogram.
format Online
Article
Text
id pubmed-8627200
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-86272002021-11-29 A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis Sun, Ting Wang, Tao Qiu, Yiwen Shen, Shu Yang, Xianwei Yang, Yi Huang, Bin Wang, Wentao Infect Drug Resist Original Research BACKGROUND: Sarcopenia and visceral adiposity have been shown to be associated with postoperative complications in numerous diseases. However, their effects on the postoperative complications of end-stage hepatic alveolar echinococcosis (HAE) patients undergoing ex vivo liver resection and autotransplantation (ELRA) remain unclear. METHODS: This retrospective study included 101 end-stage HAE patients who underwent ELRA from January 2014 to August 2020. We measured the skeletal muscle and adipose tissue of all patients at the level of the third lumbar vertebra on plain abdominal computed tomography (CT) images and subsequently derived an equation via least absolute shrinkage and selection operator (LASSO) regression analysis to calculate the sarcopenia score. Univariate and multivariate regression were performed to reveal the relationship between major postoperative complications and perioperative clinical data, and the obtained nomogram was validated with the bootstrapping method. RESULTS: The sarcopenia score was constructed as a personalized indicator to evaluate sarcopenia and visceral adiposity in each patient. Logistic regression analysis finally selected duration from primary diagnosis to obvious symptoms (OR=1.024, 95% CI, 1.007–1.042), surgical time (OR=1.003, 95% CI, 0.999–1.007) and sarcopenia score (OR=4.283, 95% CI, 1.739–10.551) as independent risk factors for predicting major postoperative complications following ELRA for end-stage HAE patients. The area under the receiver operating characteristic curve (AUROC) of 0.807 (95% CI, 0.720–0.895) and the calibration curve for this prediction model were satisfactory. CONCLUSION: The sarcopenia score, which systematically evaluates the skeletal muscle and adipose tissue of end-stage HAE patients, was a significant predictive factor for major postoperative complications of ELRA. Relevant interventions should be conducted for those who have a high risk of postoperative complications according to the nomogram. Dove 2021-11-23 /pmc/articles/PMC8627200/ /pubmed/34848980 http://dx.doi.org/10.2147/IDR.S340478 Text en © 2021 Sun et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Sun, Ting
Wang, Tao
Qiu, Yiwen
Shen, Shu
Yang, Xianwei
Yang, Yi
Huang, Bin
Wang, Wentao
A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title_full A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title_fullStr A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title_full_unstemmed A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title_short A Sarcopenia-Based Prediction Model for Postoperative Complications of ex vivo Liver Resection and Autotransplantation to Treat End-Stage Hepatic Alveolar Echinococcosis
title_sort sarcopenia-based prediction model for postoperative complications of ex vivo liver resection and autotransplantation to treat end-stage hepatic alveolar echinococcosis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627200/
https://www.ncbi.nlm.nih.gov/pubmed/34848980
http://dx.doi.org/10.2147/IDR.S340478
work_keys_str_mv AT sunting asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT wangtao asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT qiuyiwen asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT shenshu asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT yangxianwei asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT yangyi asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT huangbin asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT wangwentao asarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT sunting sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT wangtao sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT qiuyiwen sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT shenshu sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT yangxianwei sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT yangyi sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT huangbin sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis
AT wangwentao sarcopeniabasedpredictionmodelforpostoperativecomplicationsofexvivoliverresectionandautotransplantationtotreatendstagehepaticalveolarechinococcosis