4.6 Article

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

期刊

INFECTION AND DRUG RESISTANCE
卷 14, 期 -, 页码 4887-4901

出版社

DOVE MEDICAL PRESS LTD
DOI: 10.2147/IDR.S340478

关键词

hepatic alveolar echinococcosis; liver transplantation; hepatectomy; sarcopenia; postoperative complications

资金

  1. Science and Technology Program of Sichuan Science and Technology Department [2019YFS0029, 2019YFS0529]
  2. National Natural Science Foundation of China [81770566, 82170543, 82000599]
  3. New Medical Technology Foundation of West China Hospital of Sichuan University [XJS2016004]

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This study evaluated the risk of major postoperative complications in end-stage HAE patients undergoing ELRA using a sarcopenia score and identified independent risk factors for predicting these complications. The findings provide valuable information for the development of relevant interventions for high-risk patients postoperatively.
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. FResults: 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.

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