The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, China.
Guizhou Medical University, Guiyang, Guizhou, China.
BMC Gastroenterol. 2023 Mar 25;23(1):86. doi: 10.1186/s12876-023-02727-1.
Acute-on-chronic liver failure (ACLF) is a critical illness with high mortality. Herein, we developed and validated a new and simple prognostic nomogram to predict 90-day mortality in hepatitis B virus-related ACLF (HBV-ACLF) patients.
This single-center retrospective study collected data from 181 HBV-ACLF patients treated between June 2018 and March 2020. The correlation between clinical data and 90-day mortality in patients with HBV-ACLF was assessed using univariate and multivariate logistic regression analyses.
Multivariate logistic regression analysis showed that age (p = 0.011), hepatic encephalopathy (p = 0.001), total bilirubin (p = 0.007), international normalized ratio (p = 0.006), and high-density lipoprotein cholesterol (p = 0.011) were independent predictors of 90-day mortality in HBV-ACLF patients. A nomogram was created to predict 90-day mortality using these risk factors. The C-index for the prognostic nomogram was calculated as 0.866, and confirmed to be 0.854 via bootstrapping verification. The area under the curve was 0.870 in the external validation cohort. The predictive value of the nomogram was similar to that of the Chinese Group on the Study of Severe Hepatitis B score, and exceeded the performance of other prognostic scores.
The prognostic nomogram constructed using the factors identified in multivariate regression analysis might serve as a beneficial tool to predict 90-day mortality in HBV-ACLF patients.
慢加急性肝衰竭(ACLF)是一种死亡率很高的危重症。在此,我们开发并验证了一种新的简单预后列线图,以预测乙型肝炎病毒相关 ACLF(HBV-ACLF)患者的 90 天死亡率。
本单中心回顾性研究收集了 2018 年 6 月至 2020 年 3 月期间治疗的 181 例 HBV-ACLF 患者的数据。使用单因素和多因素逻辑回归分析评估 HBV-ACLF 患者临床数据与 90 天死亡率之间的相关性。
多因素逻辑回归分析显示,年龄(p=0.011)、肝性脑病(p=0.001)、总胆红素(p=0.007)、国际标准化比值(p=0.006)和高密度脂蛋白胆固醇(p=0.011)是 HBV-ACLF 患者 90 天死亡率的独立预测因素。使用这些危险因素创建了预测 90 天死亡率的列线图。该预后列线图的 C 指数计算为 0.866,并通过 bootstrap 验证确认为 0.854。外部验证队列的曲线下面积为 0.870。该列线图的预测价值与中国重型乙型肝炎研究组评分相似,超过了其他预后评分的表现。
使用多因素回归分析确定的因素构建的预后列线图可能是预测 HBV-ACLF 患者 90 天死亡率的有益工具。