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.