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External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma

Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatecto...

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Autores principales: Guo, Guangmeng, Lei, Zhengqing, Tang, Xuewu, Ma, Weihu, Si, Anfeng, Yang, Pinghua, Li, Qi, Geng, Zhimin, Zhou, Jiahua, Cheng, Zhangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317527/
https://www.ncbi.nlm.nih.gov/pubmed/34335942
http://dx.doi.org/10.7150/jca.58726
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author Guo, Guangmeng
Lei, Zhengqing
Tang, Xuewu
Ma, Weihu
Si, Anfeng
Yang, Pinghua
Li, Qi
Geng, Zhimin
Zhou, Jiahua
Cheng, Zhangjun
author_facet Guo, Guangmeng
Lei, Zhengqing
Tang, Xuewu
Ma, Weihu
Si, Anfeng
Yang, Pinghua
Li, Qi
Geng, Zhimin
Zhou, Jiahua
Cheng, Zhangjun
author_sort Guo, Guangmeng
collection PubMed
description Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatectomy. Methods: Data of patients undergoing major hepatectomy for HCC from 4 hospitals between January 01, 2008 and December 31, 2019 were retrospectively analyzed. PHLF was evaluated according to the definition of the 50-50 criteria. Performances of six liver functional reserve models were determined by the area under the receiver operating characteristic curve (AUC), calibration plot and decision curve analysis. Results: A total of 745 patients with 103 (13.8%) experienced PHLF were finally included in this study. Among six liver functional reserve models, ALBI showed the highest AUC (0.64, 95% CI: 0.58-0.69) for PHLF. All models showed good calibration and greater net benefit than treating all patients at a limit range of threshold probabilities, but the ALBI demonstrated net benefit across the largest range of threshold probabilities. Subgroup analysis also showed ALBI had good predictive performance in cirrhotic (AUC=0.63) or non-cirrhotic (AUC=0.62) patients. Conclusion: Among the six models, the ALBI model shows more accurate predictive ability for PHLF in HCC patients undergoing major hepatectomy, regardless of having cirrhosis or not.
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spelling pubmed-83175272021-07-29 External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma Guo, Guangmeng Lei, Zhengqing Tang, Xuewu Ma, Weihu Si, Anfeng Yang, Pinghua Li, Qi Geng, Zhimin Zhou, Jiahua Cheng, Zhangjun J Cancer Research Paper Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatectomy. Methods: Data of patients undergoing major hepatectomy for HCC from 4 hospitals between January 01, 2008 and December 31, 2019 were retrospectively analyzed. PHLF was evaluated according to the definition of the 50-50 criteria. Performances of six liver functional reserve models were determined by the area under the receiver operating characteristic curve (AUC), calibration plot and decision curve analysis. Results: A total of 745 patients with 103 (13.8%) experienced PHLF were finally included in this study. Among six liver functional reserve models, ALBI showed the highest AUC (0.64, 95% CI: 0.58-0.69) for PHLF. All models showed good calibration and greater net benefit than treating all patients at a limit range of threshold probabilities, but the ALBI demonstrated net benefit across the largest range of threshold probabilities. Subgroup analysis also showed ALBI had good predictive performance in cirrhotic (AUC=0.63) or non-cirrhotic (AUC=0.62) patients. Conclusion: Among the six models, the ALBI model shows more accurate predictive ability for PHLF in HCC patients undergoing major hepatectomy, regardless of having cirrhosis or not. Ivyspring International Publisher 2021-06-26 /pmc/articles/PMC8317527/ /pubmed/34335942 http://dx.doi.org/10.7150/jca.58726 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Guo, Guangmeng
Lei, Zhengqing
Tang, Xuewu
Ma, Weihu
Si, Anfeng
Yang, Pinghua
Li, Qi
Geng, Zhimin
Zhou, Jiahua
Cheng, Zhangjun
External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title_full External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title_fullStr External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title_full_unstemmed External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title_short External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma
title_sort external validation of six liver functional reserve models to predict posthepatectomy liver failure after major resection for hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317527/
https://www.ncbi.nlm.nih.gov/pubmed/34335942
http://dx.doi.org/10.7150/jca.58726
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