A Dynamic Model for Predicting Outcome in Patients with HBV Related Acute-On-Chronic Liver Failure
Journal Title: Annals of Hepatology - Year 2018, Vol 17, Issue 3
Abstract
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, ΔMELD (7d) and ΔMELD-Na (7d), ΔCLIF- SOFA(7d) (all p < 0.01). The AUC of our model in the validation group was 0.79 which was superior to 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.<br/><br/>
Authors and Affiliations
Wei Lin, Jing Zhang, Xiaohui Liu, Hongqun Liu, Jinqiu He, Ming Li, Shuqin Zhang, Yuexin Zhang, Hong Chen, Changqing Zhang, Wenfang Wu, Chenggang Jin, Samuel S. Lee, Zhongping Duan
Keywords
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- EP ID EP345206
- DOI 10.5604/01.3001.0011.7383
- Views 96
- Downloads 0
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