Dataset Information

A combined pre- and intra-operative nomogram in evaluation of degrees of liver cirrhosis predicts post-hepatectomy liver failure: a multicenter prospective study.

ABSTRACT:

Background

Adequate evaluation of degrees of liver cirrhosis is essential in surgical treatment of hepatocellular carcinoma (HCC) patients. The impact of the degrees of cirrhosis on prediction of post-hepatectomy liver failure (PHLF) remains poorly defined. This study aimed to construct and validate a combined pre- and intra-operative nomogram based on the degrees of cirrhosis in predicting PHLF in HCC patients using prospective multi-center's data.

Methods

Consecutive HCC patients who underwent hepatectomy between May 18, 2019 and Dec 19, 2020 were enrolled at five tertiary hospitals. Preoperative cirrhotic severity scoring (CSS) and intra-operative direct liver stiffness measurement (DSM) were performed to correlate with the Laennec histopathological grading system. The performances of the pre-operative nomogram and combined pre- and intra-operative nomogram in predicting PHLF were compared with conventional predictive models of PHLF.

Results

For 327 patients in this study, histopathological studies showed the rates of HCC patients with no, mild, moderate, and severe cirrhosis were 41.9%, 29.1%, 22.9%, and 6.1%, respectively. Either CSS or DSM was closely correlated with histopathological stages of cirrhosis. Thirty-three (10.1%) patients developed PHLF. The 30- and 90-day mortality rates were 0.9%. Multivariate regression analysis showed four pre-operative variables [HBV-DNA level, ICG-R15, prothrombin time (PT), and CSS], and one intra-operative variable (DSM) to be independent risk factors of PHLF. The pre-operative nomogram was constructed based on these four pre-operative variables together with total bilirubin. The combined pre- and intra-operative nomogram was constructed by adding the intra-operative DSM. The pre-operative nomogram was better than the conventional models in predicting PHLF. The prediction was further improved with the combined pre- and intra-operative nomogram.

Conclusions

The combined pre- and intra-operative nomogram further improved prediction of PHLF when compared with the pre-operative nomogram.

Trial registration

Clinicaltrials.gov Identifier: NCT04076631.

SUBMITTER: Liang BY

PROVIDER: S-EPMC11007354 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Publications

A combined pre- and intra-operative nomogram in evaluation of degrees of liver cirrhosis predicts post-hepatectomy liver failure: a multicenter prospective study.

Liang Bin-Yong BY Zhang Er-Lei EL Li Jian J Long Xin X Wang Wen-Qiang WQ Zhang Bi-Xiang BX Zhang Zhi-Wei ZW Chen Yi-Fa YF Zhang Wan-Guang WG Mei Bin B Xiao Zhen-Yu ZY Gu Jin J Zhang Zun-Yi ZY Xiang Shuai S Dong Han-Hua HH Zhang Lei L Zhu Peng P Cheng Qi Q Chen Lin L Zhang Zhan-Guo ZG Zhang Bin-Hao BH Dong Wei W Liao Xiao-Feng XF Yin Tao T Wu Dong-De DD Jiang Bin B Yuan Yu-Feng YF Zhang Zhong-Lin ZL Chen Yao-Bing YB Li Kai-Yan KY Lau Wan Yee WY Chen Xiao-Ping XP Huang Zhi-Yong ZY

Hepatobiliary surgery and nutrition 20230315 2

<h4>Background</h4>Adequate evaluation of degrees of liver cirrhosis is essential in surgical treatment of hepatocellular carcinoma (HCC) patients. The impact of the degrees of cirrhosis on prediction of post-hepatectomy liver failure (PHLF) remains poorly defined. This study aimed to construct and validate a combined pre- and intra-operative nomogram based on the degrees of cirrhosis in predicting PHLF in HCC patients using prospective multi-center's data.<h4>Methods</h4>Consecutive HCC patient ...[more]

PMID: 38617471

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Dataset Information

A combined pre- and intra-operative nomogram in evaluation of degrees of liver cirrhosis predicts post-hepatectomy liver failure: a multicenter prospective study.

Background

Methods

Results

Conclusions

Trial registration

Publications

A combined pre- and intra-operative nomogram in evaluation of degrees of liver cirrhosis predicts post-hepatectomy liver failure: a multicenter prospective study.

Similar Datasets

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