Chen Fenlan, Zhang Xiongle, Liu Chaohui, Lin Wen, Lin Shizhong, Wang Qinqi, Huang Jun, Chen Liping
Department of Infectious Diseases Fuqing City Hospital Affiliated to Fujian Medical University Fuzhou China.
School of Life Sciences Zhengzhou University Zhengzhou China.
Health Sci Rep. 2025 Jul 15;8(7):e71069. doi: 10.1002/hsr2.71069. eCollection 2025 Jul.
Rapid prognostic assessment of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is crucial for optimizing clinical interventions. This study aimed to explore the clinical value of combining Hepatitis B Virus (HBV) pregenomic RNA (pgRNA) with the Model for End-stage Liver Disease (MELD) score predicting the short-term outcomes in HBV-ACLF patients.
This retrospective study enrolled 220 HBV-ACLF patients from Fuqing Hospital in Fujian Province between July 2016 and July 2024. Clinical data collected within 24 h of diagnosis included HBV pgRNA levels, complete blood counts, C-reactive protein, biochemical profiles, coagulation parameters, and MELD scores. Patients were stratified into survival and non-survival groups based on 90-day outcomes. Independent risk factors for mortality were identified through binary logistic regression.
During the 90-day follow-up after hospitalization and discharge, 90 patients died, and 130 survived. Nonsurvivors exhibited significantly higher HBV pgRNA levels (6.07 (5.62-6.71) log10pgRNA [IU/mL] vs. 4.12 [3.81-5.06] log10pgRNA [IU/mL], = - 10.14, < 0.001) and MELD scores (31.88 [27.82-34.66] vs. 21.27 [18.50-23.14], = - 12.03, < 0.001) compared to survivors. Multivariate analysis identified both HBV pgRNA (OR = 12.38, 95% CI = 2.68-57.25) and MELD score (OR = 3.20, 95% CI = 1.33-7.70) as independent predictors of 90-day mortality (both < 0.01). The combined model demonstrated superior discriminative ability, with an area under the ROC curve (AUC) of 0.988 (95% CI = 0.978-0.998), significantly outperforming HBV pgRNA alone (AUC = 0.902, Z = 4.487, < 0.001) and MELD score alone (AUC = 0.977, Z = 2.012, = 0.044). The optimal cutoff for the pgRNA-MELD score (-42.253 + 2.516 × log10pgRNA [IU/mL] + 1.165 × MELD) was 0.302 (Youden index = 0.967). Patients with pgRNA-MELD scores ≥ 0.302 had markedly reduced survival rates (² = 253.09, < 0.01).
The novel pgRNA-MELD score effectively predicts short-term prognosis in HBV-ACLF patients, offering enhanced clinical utility compared to individual models and guiding timely therapeutic decisions in clinical practice.
对乙型肝炎病毒相关慢加急性肝衰竭(HBV-ACLF)患者进行快速预后评估对于优化临床干预至关重要。本研究旨在探讨将乙型肝炎病毒(HBV)前基因组RNA(pgRNA)与终末期肝病模型(MELD)评分相结合预测HBV-ACLF患者短期预后的临床价值。
本回顾性研究纳入了2016年7月至2024年7月间福建省福清市医院的220例HBV-ACLF患者。诊断后24小时内收集的临床资料包括HBV pgRNA水平、全血细胞计数、C反应蛋白、生化指标、凝血参数和MELD评分。根据90天的预后情况将患者分为存活组和非存活组。通过二元逻辑回归确定死亡的独立危险因素。
在住院和出院后的90天随访期间,90例患者死亡,130例存活。与存活者相比,非存活者的HBV pgRNA水平(6.07 [5.62 - 6.71] log10pgRNA [IU/mL] 对 4.12 [3.81 - 5.06] log10pgRNA [IU/mL],Z = - 10.14,P < 0.001)和MELD评分(31.88 [27.82 - 34.66] 对 21.27 [18.50 - 23.14],Z = - 12.03,P < 0.001)显著更高。多因素分析确定HBV pgRNA(OR = 12.38,95% CI = 2.68 - 57.25)和MELD评分(OR = 3.20,95% CI = 1.33 - 7.70)均为90天死亡率的独立预测因素(均P < 0.01)。联合模型显示出更好的鉴别能力,ROC曲线下面积(AUC)为0.988(95% CI = 0.978 - 0.998),显著优于单独的HBV pgRNA(AUC = 0.902,Z = 4.487,P < 0.001)和单独的MELD评分(AUC = 0.977,Z = 2.012,P = 0.044)。pgRNA-MELD评分(-42.253 + 2.516 × log10pgRNA [IU/mL] + 1.165 × MELD)的最佳截断值为0.302(约登指数 = 0.967)。pgRNA-MELD评分≥0.302的患者生存率显著降低(χ² = 253.09,P < 0.01)。
新的pgRNA-MELD评分可有效预测HBV-ACLF患者的短期预后,与单一模型相比具有更高的临床实用性,可指导临床实践中及时做出治疗决策。