Aim: To determine the prognostic risk factors of patients with hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF) treated with plasma exchange (PE)-based artificial liver support system (ALSS), and create a prognostic predictive model.
Methods:A total of 304 HBV-ACLF patients who received PE-based ALSS were retrospectively analyzed. Potential prognostic factors on admission associated with survival were investigated. Of note, 101 additional patients were analyzed to validate the performance of the prognostic models.Results: According to 28-day survival, a total of 207 patients who survived and 97 non-survivors were identified in the derivation group. Overall, 268 (88.2%) ACLF cases were caused by reactivation of HBV. Cox proportional hazards regression model revealed that age, total bilirubin, ln (alphafetoprotein [AFP]), encephalopathy (HE) score, sodium level, and international normalized ratio (INR) were independent risk factors of short-term prognosis. We built a model named ALSS-prognosis model (APM) to predict the 28-day survival of HBV-ACLF patients with ALSS; the model APM showed potentially better predictive performance for both the derivation and validation groups than MELD, MELD-Na, and CLIF-C ACLF score.Conclusions: Low AFP was found to be an independent risk factor for high mortality in HBV-ACLF patients treated with PE-based ALSS. We generated a new model containing AFP, namely APM, which showed potentially better prediction performance than MELD, MELD-Na, and CLIF-C ACLF score for short-term outcomes, and could aid physicians in making optimal therapeutic decisions. K E Y W O R D S AFP, ALSS, HBV-ACLF, plasma exchange Zhongyang Xie and Laurencia Violetta contributed equally to this study.