[Analysis of the prognosis and survival of patients with acute-on-chronic liver failure]

【急性加重型慢性肝衰竭患者预后及生存分析】

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Abstract

Objective: To explore the influencing factors and the impact of artificial liver treatment on the prognosis and survival of patients with acute-on-chronic liver failure (ACLF). Methods: Clinical data from 201 cases with ACLF from January 2016 to December 2019 was retrospectively analyzed. The survival rate was calculated by the Kaplan-Meier method, the log-rank test of univariate analysis, and the multivariate analysis of the stepwise Cox regression forward method. Results: The median survival time of patients was 6 months, and the survival rates at 6, 9, and 12 months were 51.2%, 38.3%, and 29.9%, respectively. In univariate analysis, age, presence or absence of hypertension and upper gastrointestinal bleeding, treatment method, model for end-stage liver disease (MELD) score, and cholinesterase were associated with prognosis (P < 0.05). Multivariate regression analysis results showed that MELD score was the main factor affecting the 1-year prognosis of ACLF patients (P = 0.002). Artificial liver treatment was beneficial for the 1-year prognosis of ACLF patients aged < 50 years or with a MELD score of ≥20 (P < 0.05 ). The relative risk ratio (RR) of mortality was 2.55 times higher in patients with advanced age (≥50 years old) than that of younger patients (P < 0.001). Regression analysis was performed using age as a stratification factor, and upper gastrointestinal bleeding was related to the prognosis of younger patients, while choline esterase was related to the prognosis of advanced age. Regression analysis after stratified MELD score showed that age and hypertension were related to the prognosis of patients with MELD score < 20, and treatment method and age were related to the prognosis of patients with MELD score≥20. Conclusion: Artificial liver treatment is beneficial for the 1-year prognosis of ACLF patients. Age, MELD score, hypertension, and upper gastrointestinal bleeding are independent risk factors affecting the prognosis of ACLF patients.

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