[1] Zhang J,Luo H, Han Y, et al. Sequential versus mono double plasma molecular adsorption system in acute-on-chronic liver failures: A propensity-score matched study. Int J Artif Organs, 2022,45(1):5-13. [2] Child CG, Turcotte JG. Surgery and portal hypertension. Major Prob Clin Surg, 1964, 1:1-85. [3] Pugh RN, Murray-Lyon IM, Dawson JL, et al. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg, 1973,60(8):646-649. [4] 陈铿,曹欣,郑茵,等. MELD-Na与CTP评分评估乙型肝炎慢加急性肝衰竭短期预后的对比研究. 中华肝脏病杂志,2014,22(11):801-805. [5] O'Grady JG, Alexander GJ, Hayllar KM, et al. Early indicators of prognosis in fulminant hepatic failure. Gastroenterology, 1989,97(2):439-445. [6] Anand AC, Nightingale P, Neuberger JM. Early indicators of prognosis in fulminant hepatic failure: an assessment of the King's criteria. J Hepatol, 1997,26(1):62-68. [7] McPhail MJ, Farne H, Senvar N, et al. Ability of king's college criteria and model for end-stage liver disease scores to predict mortality of patients with acute liver failure: a meta-analysis. Clin Gastroenterol Hepatol, 2016,14(4):516-525.e5,quiz e43-e45. [8] Vincent JL, Moreno R, Takala J, et al. The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Inten Care Med, 1996,22(7):707-710. [9] Malinchoc M, Kamath PS, Gordon FD, et al. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology (Baltimore, Md), 2000,31(4):864-871. [10] Kamath PS, Wiesner RH, Malinchoc M, et al. A model to predict survival in patients with end-stage liver disease. Hepatology (Baltimore, Md), 2001,33(2):464-470. [11] Lee HS, Choi GH, Joo DJ, et al. Prognostic value of model for end-stage liver disease scores in patients with fulminant hepatic failure. Transplant Proc, 2013,45(8):2992-2994. [12] Zheng YX, Zhong X, Li YJ, et al. Performance of scoring systems to predict mortality of patients with acute-on-chronic liver failure: A systematic review and meta-analysis. J Gastroenterol Hepatol, 2017,32(10):1668-1678. [13] Biggins SW, Kim WR, Terrault NA, et al. Evidence-based incorporation of serum sodium concentration into MELD. Gastroenterology, 2006,130(6):1652-1660. [14] Luca A, Angermayr B, Bertolini G, et al. An integrated MELD model including serum sodium and age improves the prediction of early mortality in patients with cirrhosis. Liver Transpl, 2007,13(8):1174-1180. [15] 李晨,游绍莉,刘鸿凌,等. 基线MELD、MELD-Na、iMELD 3种模型对乙型肝炎病毒相关慢加急性肝衰竭患者近期预后的评估价值. 中华危重病急救医学,2014,26(8):539-543. [16] Jalan R, Saliba F, Pavesi M, et al. Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J Hepatol, 2014,61(5):1038-1047. [17] Wu T, Li J, Shao L, et al. Development of diagnostic criteria and a prognostic score for hepatitis B virus-related acute-on-chronic liver failure. Gut, 2018,67(12):2181-2191. [18] Tong JJ, Zhao W, Mu XY, et al. Predictive value of the Chinese group on the study of severe hepatitis B-acute-on-chronic liver failure score in the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure. Chin Med J (Engl), 2019,132(13):1541-1549. [19] Choudhury A, Jindal A, Maiwall R, et al. Liver failure determines the outcome in patients of acute-on-chronic liver failure (ACLF): comparison of APASL ACLF research consortium (AARC) and CLIF-SOFA models. Hepatol Int, 2017,11(5):461-471. [20] Dal Moro F, Abate A, Lanckriet GR, et al. A novel approach for accurate prediction of spontaneous passage of ureteral stones: support vector machines. Kidney Int, 2006, 69(1):157-160. [21] Hou Y, Zhang Q, Gao F, et al. Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure. BMC gastroenterol, 2020,20(1):75. [22] Qin G, Bian ZL, Shen Y, et al. Logistic regression model can reduce unnecessary artificial liver support in hepatitis B virus-associated acute-on-chronic liver failure: decision curve analysis. BMC Med Inform Decis Mak, 2016,16:59. [23] Ruf AE, Kremers WK, Chavez LL, et al. Addition of serum sodium into the MELD score predicts waiting list mortality better than MELD alone. Liver Transpl, 2005,11(3):336-343. [24] Chen RC, Wang XD, Dong JZ, et al. A MELD-based nomogram for predicting 3-month mortality of patients with acute-on-chronic hepatitis B liver failure. Clin Chim Acta, 2017,468:195-200. [25] Gong J, Zhou W, Xiao C, et al. A nomogram for predicting prognostic value of inflammatory biomarkers in patients with acute-on-chronic liver failure. Clin Chim Acta, 2018,478:7-12. [26] 周超,宫嫚,张宁,等. 列线图预测乙型肝炎病毒相关慢加急性肝衰竭死亡风险的临床研究. 中西医结合肝病杂志,2021,31(2):102-107. |