A Dynamic Model for Predicting Outcome in Patients with HBV Related Acute-On-Chronic Liver Failure

Autores: Lin Wei, Zhang Jing, Xiaohui Liu, Liu Hongqun, He Jinqiu, Li Ming, Lee Samuel S, et al

Resumen

Introduction and aim. Accurately predicting the prognosis of individual patient is crucial in the management of ACLF. We aimed to establish a specific prognostic model for HBV-related ACLF patients treated with nucleoside analog (NA). Material and methods. We prospectively collected 205 ACLF cases diagnosed according to the APASL criteria. A dynamic prognostic model based on APASL criteria was established and validated. To demonstrate that the model is also applicable to those within EASL criteria, we divided the patients into two groups: met APASL criteria only (group A, n = 123); met both APASL and EASL criteria (group B, n = 82). Its prognostic accuracy was also compared with chronic liver failure-sequential organ failure assessment (CLIF-SOFA) score in group B. Results. The model is: R = 0.94 x Bilirubin + 0.53 x evolution of Bilirubin - 0.45 x PT-A - 0.22 x evolution in PT-A -0.1 x PLT + 10 x anti-HBe. The area under receiver operating characteristic curve (AUC) of the model for predicting 90-day mortality was 0.86, which was significantly higher than that of model for end stage liver disease(MELD), MELD-Na, CLIF-SOFA, äMELD (7d) and äMELD-Na (7d), äCLIF- SOFA(7d) (all p < 0.01). The AUC of our model in the validation group was 0.79 which was superiorzto MELD (0.45) CLIF-SOFA (0.53) score in group B patients (p < 0.01). Conclusion. In conclusion, the model was superior to the conventional methods in predicting the outcomes of patients with HBV related ACLF treated with NA. It is the first description of a novel prognostic model using consecutive data in patients with HBV-induced acute-on-chronic liver failure (ACLF) treated by nucleoside analogs.

Palabras clave: Prognosis hepatitis B nucleoside analog cirrhosis.

2018-06-29   |   153 visitas   |   Evalua este artículo 0 valoraciones

Vol. 17 Núm.3. Mayo-Junio 2018 Pags. 392-402 Ann Hepatol 2018; 17(3)