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Original Research

Development and validation of modified Liaoning score for predicting the prognosis of liver cirrhosis: a retrospective, international multicenter, observational study

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Pages 121-128 | Received 24 Oct 2023, Accepted 14 Feb 2024, Published online: 27 Feb 2024
 

ABSTRACT

Background

Liaoning score has been developed and validated to predict the risk of esophageal varices in liver cirrhosis. This study aimed to further modify the Liaoning score by combining clinical and laboratory parameters to predict the long-term outcome of cirrhotic patients.

Methods

First, 474 cirrhotic patients were retrospectively enrolled from Shenyang, China as the training cohort. Independent predictors for death were identified by competing risk analyses, and then a new prognostic model, called as modified Liaoning score, was developed. Its performance was externally validated at three centers from Fuzhou, China (n = 1944), Jinan, China (n = 485), and São Paulo, Brazil (n = 221).

Results

Age, total bilirubin (TBIL), albumin (ALB), serum creatinine (SCr), and Liaoning score were independently associated with death in the training cohort. Modified Liaoning score = 0.159×Liaoning score + 0.010×TBIL(µmol/L)+0.029×age(years)+0.011×SCr(µmol/L)-0.037×ALB(g/L). The area under curve of modified Liaoning score was 0.714 (95%CI = 0.655–0.773), which was higher than that of Child-Pugh score (0.707, 95%CI = 0.645–0.770), MELD score (0.687, 95%CI = 0.623–0.751), and Liaoning score (0.583, 95%CI = 0.513–0.654). A modified Liaoning score of ≥ 1.296 suggested a higher cumulative incidence of death in liver cirrhosis (p < 0.001). Modified Liaoning score still had the highest prognostic performance in Chinese and Brazilian validation cohorts.

Conclusions

Modified Liaoning score can be considered for predicting the long-term outcome of cirrhotic patients.

GRAPHICAL ABSTRACT

Abbreviations

ALB=

albumin

AUC=

area under curve

AIC=

akaike information criterion

ALT=

alanine aminotransferase

AST=

aspartate aminotransferase

AKP=

alkaline phosphatase

AUGIB=

acute upper gastrointestinal bleeding

BIC=

bayesian information criterion

CI=

confidence interval

GGT=

gamma-glutamyl transpeptidase

HBV=

hepatitis B virus

HCV=

hepatitis C virus

HE=

hepatic encephalopathy

Hb=

hemoglobin

INR=

international normalized ratio

K=

potassium

MELD=

model for end-stage of liver disease

Na=

sodium

Pts=

patients

PLT=

platelet

ROC=

receiver operating characteristic

SD=

standard deviation

SCr=

serum creatinine

sHR=

sub-distribution hazard ratio

TBIL=

total bilirubin

WBC=

white blood cell.

Declaration of interest

The authors have no relevant, affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Authors’ contributions

Conceptualization: X Qi. Data collection and revision: X Song, FG Romeiro, J Wang, Y Yin, CA Philips, X Yang, W Wu, X Liu, MVT Bernardinelli, R Souza, AH Theruvath, S Lin and X Qi. Data analysis: X Song, Y Yin, and X Qi. Methodology and writing: X Song, FG Romeiro, J Wang, Y Yin, CA Philips, S Lin, and X Qi. Critical comments and revision: X Song, FG Romeiro, J Wang, Y Yin, CA Philips, S Lin, and X Qi; Supervision: X Qi. All authors have made an intellectual contribution to the manuscript and approved the submission.

Acknowledgments

The authors are indebted to our study team, including H Deng, R Wang, J Li, Y Li, X Xu, Z Bai, Q Li, K Zheng, L Wang, F Yi, Y Wu, L Luo, Y Yin, S Xu, M Peng, W Wang, X Wang, Y Zhang, and X Zheng, for their efforts in establishing and updating the prospective database of liver cirrhosis from the General Hospital of Northern Theater Command. The authors express our gratitude to Y Ma, Z Yang, J Yuan, and all participants of other centers. M Bernardinelli and R Souza are grateful to the São Paulo Research Foundation (FAPESP) (Grant number 2022/07839-5) and to UNESP/VUNESP/SEE for the scholarships received.

Data availability statement

The datasets during the current study are available from the corresponding author on reasonable request.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/17474124.2024.2320238

Additional information

Funding

This paper was funded by Young and Middle-aged Scientific and Technological Innovation Talents Support Plan Project of Shenyang [RC210011].

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