Cai Qun, Zhu Mingyan, Duan Jinnan, Wang Hao, Sheng Jifang
Department of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Department of Infectious Disease, The Affiliated Chaohu Hospital of Anhui Medical University, Chaohu, Hefei, China.
J Int Med Res. 2019 Sep;47(9):4492-4504. doi: 10.1177/0300060519862065. Epub 2019 Jul 31.
Acute decompensation (AD) in liver cirrhosis has high mortality. We assessed prognostic scoring models and established prediction models for different etiologies of AD.
This retrospective analysis included 732 patients hospitalized with acute decompensated cirrhosis without acute-on-chronic liver failure. We performed logistic regression analysis of risk factors for mortality associated with different etiologies, to establish predictive models.
Patients with different etiologies, scored using different scoring systems and various impact factors, exhibited differences with respect to mortality. MELD, CLIF-C-AD, MELD-Na, and AARC-ACLF scores exhibited adequate predictive ability for mortality. Area under the receiver operating characteristic curve for 28-day mortality for MELD, CLIF-C-AD, MELD-Na, AARC-ACLF, and the newly developed AD scores was 0.663, 0.673, 0.657, 0.662, and 0.773, respectively, in the hepatitis B virus group (HBV-AD score =−5.51 + 0.07WBC count (10/L) +0.7AD sum+0.4AARC-ACLF score); 0.731, 0.737, 0.735, 0.689, and 0.778, respectively, in the alcoholic liver disease group (ALD-AD score =−4.55 +0.08 WBC count (10/L) +1.34* AD sum); and 0.765, 0.767, 0.814, 0.720, and 0.814, respectively, in the Others group (OTHERS-AD score =−2.14 + 1.24MELD-Na score +4.49AD sum).
The newly developed scoring models for short-term mortality were superior to the other scoring systems in predicting prognosis of acute decompensated cirrhosis in hospitalized patients.
肝硬化急性失代偿(AD)死亡率高。我们评估了预后评分模型,并针对不同病因的AD建立了预测模型。
这项回顾性分析纳入了732例因急性失代偿性肝硬化住院且无慢加急性肝衰竭的患者。我们对不同病因相关的死亡风险因素进行逻辑回归分析,以建立预测模型。
不同病因的患者,使用不同评分系统及各种影响因素进行评分,在死亡率方面存在差异。终末期肝病模型(MELD)、慢性肝病肝衰竭-急性失代偿(CLIF-C-AD)、MELD-Na和急性肝衰竭协作组(AARC-ACLF)评分对死亡率具有足够的预测能力。在乙型肝炎病毒组(HBV-AD评分=-5.51+0.07×白细胞计数(10⁹/L)+0.7×AD总和+0.4×AARC-ACLF评分)中,MELD、CLIF-C-AD、MELD-Na、AARC-ACLF和新开发的AD评分预测28天死亡率的受试者工作特征曲线下面积分别为0.663、0.673、0.657、0.662和0.773;在酒精性肝病组(ALD-AD评分=-4.55+0.08×白细胞计数(10⁹/L)+1.34×AD总和)中,上述指标分别为0.731、0.