Luo Yue, Xu Yun, Li Mingming, Xie Ya, Gong Guozhong
Department of Infectious Diseases, Institute of Hepatology, Second Xiangya Hospital, Central South University, Changsha, China.
Medicine (Baltimore). 2016 Aug;95(34):e4696. doi: 10.1097/MD.0000000000004696.
Hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF) is one of the most deadly diseases. Many models have been proposed to evaluate the prognosis of it. However, these models are still controversial. In this study, we aimed to incorporate some characters into model for end-stage liver disease (MELD) to establish a new reliable and feasible model for the prognosis of HBV-ACLF.A total of 530 HBV-ACLF patients who had received antiviral therapy were enrolled into a retrospective study and divided into the training cohort (300) and validation cohort (230). Logistic regression analysis was used to establish a model to predict the 3-month mortality from the patients in the training cohort, and then, the new model was evaluated in the validation cohort.Except for MELD score, 4 other independent factors, namely degree of hepatic encephalopathy (HE), alpha-fetoprotein (AFP), white blood cell (WBC) count, and age, were important for the new model called HBV-ACLF MELD (HAM) model: R = 0.174 × MELD + 1.106 × HE - (0.003 × AFP) + (0.237 × WBC) + (0.103 × Age) - 11.388. The areas under receiver-operating characteristic curve of HAM in the training and validation cohort were 0.894 and 0.868, respectively, which were significantly higher than those of other 7 models. With the best cut-off value of -1.191, HAM achieved higher sensitivity and negative predictive value.We developed a new model that has a great prognostic value of the 3-month mortality of patients with HBV-ACLF.
乙型肝炎病毒相关慢加急性肝衰竭(HBV-ACLF)是最致命的疾病之一。已经提出了许多模型来评估其预后。然而,这些模型仍存在争议。在本研究中,我们旨在将一些特征纳入终末期肝病模型(MELD),以建立一个用于预测HBV-ACLF预后的新的可靠且可行的模型。
共有530例接受抗病毒治疗的HBV-ACLF患者被纳入一项回顾性研究,并分为训练队列(300例)和验证队列(230例)。采用逻辑回归分析建立模型以预测训练队列患者的3个月死亡率,然后在验证队列中对新模型进行评估。
除MELD评分外,肝性脑病(HE)程度、甲胎蛋白(AFP)、白细胞(WBC)计数和年龄这4个其他独立因素对名为HBV-ACLF MELD(HAM)模型的新模型很重要:R = 0.174×MELD + 1.106×HE -(0.003×AFP)+(0.237×WBC)+(0.103×年龄)- 11.388。HAM在训练队列和验证队列中的受试者工作特征曲线下面积分别为0.894和0.868,显著高于其他7个模型。在最佳截断值为-1.191时,HAM具有更高的敏感性和阴性预测值。
我们开发了一个对HBV-ACLF患者3个月死亡率具有很大预后价值的新模型。