Novel albumin, bilirubin and platelet criteria for the exclusion of high-risk varices in compensated advanced chronic liver disease: A validation study

Novel nomogram model for predicting 6-week mortality in liver cirrhosis patients with acute upper gastrointestinal bleeding

OBJECTIVE

To develop and validate a nomogram for predicting 6-week mortality in patients with liver cirrhosis and acute upper gastrointestinal bleeding (UGIB) and to compare it with other commonly used scoring systems.

METHODS

This retrospective study included cirrhotic patients with acute UGIB hospitalized between January 2013 and December 2020. Random sampling was used to divide patients into the training (n = 676) and validation cohorts (n = 291) at a 7:3 ratio. Multivariate logistic stepwise regression was used to establish a model for predicting 6-week mortality. Multiple indicators were used to validate the nomogram, including the area under the receiver operating characteristic curve (AUROC), calibration curve, and decision curve analysis (DCA).

RESULTS

In the training cohort, total bilirubin (TBIL) (odds ratio [OR] 1.75, 95% confidence interval [CI] 1.22-2.50), hemoglobin (Hb) (OR 0.97, 95% CI 0.95-0.99), C-reactive protein (OR 2.79, 95% CI 1.30-6.07), prothrombin time (OR 1.17, 95% CI 1.05-1.30), and hepatic encephalopathy (stage I-II: OR 4.15, 95% CI 1.73-9.61; stage III-IV: OR 19.6, 95% CI 5.33-76.8) were identified as independent factors of 6-week mortality. The AUROC of the UGIB-LC score was 0.873 (95% CI 0.820-0.927), which was higher than that of the Child-Pugh score (0.781), model for end-stage liver disease score (0.766), and neutrophil-to-lymphocyte ratio (0.716).

CONCLUSION

The UGIB-LC score is useful for predicting 6-week mortality in patients with liver cirrhosis and acute UGIB, which is superior to the other three scoring systems.

CHESS-ALARM score to stratify decompensation risk in compensated advanced chronic liver disease patients: An international multicenter study

BACKGROUND AND AIM

A combination of platelet and elastography (PE criteria) was proposed to identify compensated advanced chronic liver disease (cACLD) patients at risk of liver decompensation. We aim to validate and refine PE criteria by developing a new predictive score to predict decompensation in Asian cACLD patients.

METHODS

An international cohort of 633 cACLD patients with liver stiffness measurement (LSM) and esophagogastroduodenoscopy performed were included. We validated PE criteria to predict first liver decompensation using competing risk analysis, with death and hepatocellular carcinoma as competing events. We developed a predictive model using proportional subdistribution hazard regression. Prognostic accuracy was compared with the model of end-stage liver disease (MELD), albumin-bilirubin (ALBI), and ALBI-FIB-4 score using time-dependent area under operative characteristic curve (tAUC).

RESULTS

Sixty patients developed decompensation over the median follow-up of 39 months. Favorable Baveno VI status ruled out cACLD patients at risk of liver decompensation. LSM > 25 kPa was suboptimal to predict cACLD patients who will develop liver decompensation. We developed CHESS-ALARM score by incorporating age, platelet, and gender into LSM. CHESS-ALARM score (tAUC = 0.86, 95% confidence interval [CI]: 0.79-0.94) has significantly higher accuracy than MELD (tAUC: 0.61), ALBI (tAUC: 0.62), ALBI-FIB-4 (tAUC: 0.70), and LSM > 25 kPa (tAUC: 0.54) to predict liver decompensation at 5 years (P < 0.05 for all). Patients with CHESS-ALARM score ≥ -0.37 had an 11-fold higher risk of decompensation (subdistribution hazard ratio = 11.2, 95% CI: 5.1-24.5).

CONCLUSION

CHESS-ALARM score can be readily incorporated into clinical practice of cACLD patients to estimate individual risk of liver decompensation; however, more data are required in morbidly obese cACLD patients of nonviral etiology.