Objective: To identify risk factors for pulmonary infection in patients with hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF), assess its impact on prognosis, and develop a prognostic prediction model.
Methods: We retrospectively analyzed the clinical data of 393 patients with HBV-ACLF. Logistic regression was used to analyze the risk factors for lung infection in ACLF patients, as well as the factors affecting the prognosis of those who were infected. Additionally, a prognostic prediction model was established using the Nomogram method.
Results: The incidence of pulmonary infections in patients with ACLF was 38.7%, and patients with ACLF combined with pulmonary infections had a higher short-term mortality rate than those without infections (65.71% vs. 35.02%). Multivariate logistic regression analysis indicated that independent risk factors for pulmonary infection included TBIL, CRP, invasive procedures, peritoneal effusion, and hepatic encephalopathy. Additionally, creatinine, INR, comorbid diabetes mellitus, neutrophil counts, and lymphocyte counts were identified as independent risk factors affecting 30-day mortality in patients with pulmonary infection. Incorporating these risk factors, a new predictive model was established, with an area under the receiver operating characteristic curve of 0.832 (95% CI, 0.765-0.900). This model demonstrated higher discriminatory performance compared to traditional prognostic models such as CTP, MELD, and MELD-Na, with statistically significant differences (P < 0.05).
Conclusion: HBV-ACLF patients are susceptible to pulmonary infection, with fungal infection posing a significant threat. Pulmonary infection is associated with worse prognosis in HBV-ACLF patients. Early identification of risk factors and prognostic assessment can facilitate timely intervention and improve prognosis.
Keywords: Acute-on-chronic liver failure; Hepatitis B; Prediction model; Pulmonary infection; Risk factors.
© 2025. The Author(s).