A Novel SAVE Score to Stratify Decompensation Risk in Compensated Advanced Chronic Liver Disease (CHESS2102): An International Multicenter Cohort Study

  • Chuan Liu
  • , Zhujun Cao
  • , Huadong Yan
  • , Yu Jun Wong
  • , Qing Xie
  • , Masashi Hirooka
  • , Hirayuki Enomoto
  • , Tae Hyung Kim
  • , Amr Shaaban Hanafy
  • , Yanna Liu
  • , Yifei Huang
  • , Xiaoguo Li
  • , Ning Kang
  • , Yohei Koizumi
  • , Yoichi Hiasa
  • , Takashi Nishimura
  • , Hiroko Iijima
  • , Young Kul Jung
  • , Hyung Joon Yim
  • , Ying Guo
  • Linpeng Zhang, Jianzhong Ma, Manoj Kumar, Ankur Jindal, Kok Ban Teh, Shiv Kumar Sarin, Xiaolong Qi*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

INTRODUCTION:In patients with compensated advanced chronic liver disease (cACLD), the invasive measurement of hepatic venous pressure gradient is the best predictor of hepatic decompensation. This study aimed at developing an alternative risk prediction model to provide a decompensation risk assessment in cACLD.METHODS:Patients with cACLD were retrospectively included from 9 international centers within the Portal Hypertension Alliance in China (CHESS) network. Baseline variables from a Japanese cohort of 197 patients with cACLD were examined and fitted a Cox hazard regression model to develop a specific score for predicting hepatic decompensation. The novel score was validated in an external cohort (n = 770) from 5 centers in China, Singapore, Korea, and Egypt, and was further assessed for the ability of predicting clinically significant portal hypertension in a hepatic venous pressure gradient cohort (n = 285).RESULTS:In the derivation cohort, independent predictors of hepatic decompensation were identified including Stiffness of liver, Albumin, Varices, and platElets and fitted to develop the novel score, termed "SAVE" score. This score performed significantly better (all P < 0.05) than other assessed methods with a time-dependent receiver operating characteristic curve of 0.89 (95% confidence interval [CI]: 0.83-0.94) and 0.83 (95% CI: 0.73-0.92) in the derivation and validation cohorts, respectively. The decompensation risk was best stratified by the cutoff values at -6 and -4.5. The 5-year cumulative incidences of decompensation were 0%, 24.9%, and 69.0% in the low-risk, middle-risk, and high-risk groups, respectively (P < 0.001). The SAVE score also accurately predicted clinically significant portal hypertension (AUC, 0.85 95% CI: 0.80-0.90).DISCUSSION:The SAVE score can be readily incorporated into clinical practice to accurately predict the individual risk of hepatic decompensation in cACLD.

Original languageEnglish
Pages (from-to)1605-1613
Number of pages9
JournalAmerican Journal of Gastroenterology
Volume117
Issue number10
DOIs
Publication statusPublished - 2022 Oct 1

Bibliographical note

Publisher Copyright:
© 2022 Wolters Kluwer Health. All rights reserved.

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

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