Predictive scoring systems for in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia

Abstract

Abstract Background Acutely decompensated liver cirrhosis is associated with high medical costs and negatively affects productivity and quality of life. Data on factors associated with in-hospital mortality due to acutely decompensated liver cirrhosis in Indonesia are scarce. This study aims to identify predictors of in-hospital mortality and develop predictive scoring systems for clinical application in acutely decompensated liver cirrhosis patients. Methods This was a retrospective cohort study using a hospital database of acutely decompensated liver cirrhosis data at Cipto Mangunkusumo National General Hospital, Jakarta (2016–2019). Bivariate and multivariate logistic regression analyses were performed to identify the predictors of in-hospital mortality. Two scoring systems were developed based on the identified predictors. Results A total of 241 patients were analysed; patients were predominantly male (74.3%), had hepatitis B (38.6%), and had Child–Pugh class B or C cirrhosis (40% and 38%, respectively). Gastrointestinal bleeding was observed in 171 patients (70.9%), and 29 patients (12.03%) died during hospitalization. The independent predictors of in-hospital mortality were age (adjusted OR: 1.09 [1.03–1.14]; p = 0.001), bacterial infection (adjusted OR: 6.25 [2.31–16.92]; p < 0.001), total bilirubin level (adjusted OR: 3.01 [1.85–4.89]; p < 0.001) and creatinine level (adjusted OR: 2.70 [1.20–6.05]; p = 0.016). The logistic and additive scoring systems, which were developed based on the identified predictors, had AUROC values of 0.899 and 0.868, respectively. Conclusion The in-hospital mortality rate of acutely decompensated liver cirrhosis in Indonesia is high. We have developed two predictive scoring systems for in-hospital mortality in acutely decompensated liver cirrhosis patients.