不同肝病基础的重症酒精性肝炎患者短期预后评估及其影响因素
DOI: 10.3969/j.issn.1001-5256.2021.02.024
Evaluation and influencing factors of the short-term prognosis of severe alcoholic hepatitis with different underlying liver diseases
-
摘要:
目的 探讨不同肝病基础的重症酒精性肝炎(AH)患者临床特征及其短期预后的评估和影响因素。 方法 回顾性分析天津市第三中心医院2004年8月—2018年8月收治的170例重症AH患者临床资料,按不同肝病基础分为A型(无肝硬化,n=27)、B型(代偿期肝硬化,n=52)和C型(失代偿期肝硬化,n=91)。计算Maddrey判别函数(MDF)评分、慢性肝衰竭序贯性器官衰竭评估(CLIF-SOFA)评分、终末期肝病模型(MELD)评分、ABIC评分(年龄、胆红素、国际标准化比值、肌酐)以及Glasgow酒精性肝炎评分(GAHS)。计量资料多组间比较采用方差分析或Kruskal-Wallis H检验;计数资料多组间比较采用χ2检验。采用单因素和多因素Cox回归分析筛选影响重症AH患者短期预后的独立危险因素。应用Kaplan-Meier法绘制生存曲线,生存差异组间比较采用log-rank检验。受试者工作特征曲线计算各预测模型的曲线下面积(AUC)及95%CI、敏感度、特异度,并应用DeLong法进行比较。 结果 A、B、C型患者28 d生存率分别为88.9%、80.8%和51.6%,3组比较差异有统计学意义(χ2=19.83,P < 0.001)。MELD评分、MDF评分、GAHS评分、ABIC评分和CLIF-SOFA评分预测28 d病死率的AUC(95%CI)分别为0.584(0.493~0.676)、0.696(0.605~0.786)、0.644(0.554~0.735)、0.745(0.662~0.827)和0.795(0.726~0.863);CLIF-SOFA评分与MDF评分、MELD评分、GAHS评分相比,差异均有统计学意义(P值均 < 0.05);CLIF-SOFA评分预测28 d病死率的最佳阈值为8.50分,敏感度为79.0%,特异度为67.9%。发病时不同肝病基础(HR=2.296,95% CI:1.356~3.887,P=0.002)以及合并肝性脑病(HR=1.911,95% CI:1.059~3.449,P=0.031)是28 d预后的危险因素。 结论 不同肝病基础的重症AH患者具有不同的临床特征和短期预后,发病时不同肝病基础及合并肝性脑病与重症AH患者28 d预后密切相关。CLIF-SOFA评分能够较好地预测重症AH患者28 d预后。 Abstract:Objective To investigate the clinical features of patients with severe alcoholic hepatitis (AH) with different underlying liver diseases and the influencing factors for short-term prognosis. Methods A retrospective analysis was performed for the clinical data of 170 patients with severe AH who were admitted to Tianjin Third Central Hospital from August 2004 to August 2018, and according to the underlying liver disease, they were divided into group A (27 patients without liver cirrhosis), group B (52 patients with compensated liver cirrhosis), and group C (91 patients with decompensated liver cirrhosis). Related scores were calculated, including Maddrey's discriminant function (MDF) score, Chronic Liver Failure-Sequential Organ Failure Assessment (CLIF-SOFA) score, Model for End-Stage Liver Disease (MELD) score, age-bilirubin-international normalized ratio-creatinine (ABIC) score, and Glasgow alcoholic hepatitis score (GAHS). An analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between multiple groups, and the chi-square test was used for comparison of categorical data between multiple groups. Univariate and multivariate Cox regression analyses were used to screen out the independent influencing factors for the short-term prognosis of patients with severe AH. The Kaplan-Meier method was used to plot survival curves, and the log-rank test was used for comparison of survival rate between groups. The receiver operating characteristic (ROC) curve was used to calculate the area under the ROC curve (AUC) and 95% confidence interval (CI), sensitivity, and specificity for each predictive model, and the DeLong method was used for comparison. Results The 28-day survival rates of patients in groups A, B, and C were 88.9%, 80.8%, and 51.6%, respectively, with a significant difference between the three groups (χ2=19.83, P < 0.001). The AUCs (95% CIs) of MELD score, MDF score, GAHS score, ABIC score, and CLIF-SOFA score were 0.584 (0.493-0.676), 0.696 (0.605-0.786), 0.644 (0.554-0.735), 0.745 (0.662-0.827), and 0.795 (0.726-0.863), respectively, in predicting 28-day mortality rate, and there were significant differences between CLIF-SOFA score and MDF, MELD, and GAHS scores (all P < 0.05); CLIF-SOFA score had a sensitivity of 79.0% and a specificity of 67.9% at the optimal cut-off value of 8.50 points in predicting 28-day mortality rate. Different underlying liver diseases (hazard ratio [HR]=2.296, 95% CI: 1.356-3.887, P=0.002) and hepatic encephalopathy (HR=1.911, 95% CI: 1.059-3.449, P=0.031) at disease onset were risk factors for 28-day prognosis. Conclusion Patients with severe AH with different underlying liver diseases have different clinical features and short-term prognoses. Different underlying liver diseases and hepatic encephalopathy at disease onset are closely associated with the 28-day prognosis of patients with severe AH. CLIF-SOFA score can predict the 28-day prognosis of patients with severe AH. -
Key words:
- Hepatitis, Alcoholic /
- Prognosis /
- Infection /
- Risk Factors
-
表 1 不同肝病基础重症AH患者的临床特征比较
临床特征 A型(n=27) B型(n=52) C型(n=91) 统计值 P值 性别[例(%)] χ2=4.26 0.119 男 25(92.6) 52(100.0) 89(97.8) 女 2(7.4) 0 2(2.2) 年龄(岁) 44.26±9.18 48.56±8.53 50.79±9.11 F=5.67 0.004 WBC(×109/L) 11.81(6.92~16.55) 8.10(5.46~10.23) 8.54(5.73~13.30) χ2=7.23 0.027 NEU(×109/L) 10.52(5.08~15.05) 5.81(3.90~8.95) 7.04(4.08~11.26) χ2=6.88 0.032 LYM(×109/L) 1.05(0.75~1.33) 0.76(0.54~1.05) 0.77(0.43~1.05) χ2=9.60 0.008 PLT(×109/L) 182.00(100.00~199.000) 71.00(45.75~97.00) 50.00(46.00~68.50) χ2=22.22 < 0.001 Alb(g/L) 29.10(25.80~31.00) 26.15(26.15~28.05) 26.35(23.35~28.63) χ2=0.85 0.011 ALT(U/L) 51.00 (46.00~72.00) 59.50(46.00~75.00) 50.00(46.00~68.50) χ2=0.50 0.780 AST(U/L) 87.00(75.50~136.00) 96.50(74.75~125.00) 87.00(76.00~128.00) χ2=0.23 0.891 GGT(U/L) 214.00(152.50~366.50) 196.50(95.50~332.50) 76.00(34.50~172.50) χ2=25.42 < 0.001 TBil(μmol/L) 284.40(207.70~353.90) 235.80(135.15~346.86) 190.80(130.50~277.55) χ2=6.41 0.041 BUN(mmol/L) 5.72(4.70~8.54) 6.55(4.51~9.68) 7.92(5.03~15.91) χ2=6.12 0.047 Cr(μmol/L) 58.00(48.50~75.50) 71.00(50.00~96.85) 78.00(53.50~124.50) χ2=5.10 0.078 Na+(mmol/L) 133.30(131.40~136.90) 132.00(125.70~135.90) 131.80(127.75~135.15) χ2=2.38 0.305 K+(mmol/L) 3.53(3.25~3.95) 3.63(3.11~4.27) 3.88(3.20~4.69) χ2=2.46 0.293 INR 1.79(1.63~2.19) 2.14(1.79~2.40) 2.36(1.90~3.05) χ2=14.87 0.001 PT(s) 20.50(19.20~24.15) 23.30(20.68~25.73) 25.70(21.56~32.30) χ2=15.01 0.001 MDF评分(分) 60.24(37.82~61.24) 49.24(38.54~65.12) 60.24(37.82~86.06) χ2=5.37 0.068 感染[例(%)] 7(25.9) 22(42.3) 52(57.1) χ2=8.99 0.011 消化道出血[例(%)] 4(14.8) 13(25.0) 26(28.6) χ2=0.38 0.352 腹水[例(%)] 11(40.7) 35(67.3) 62(68.1) χ2=7.20 0.027 肝性脑病[例(%)] 1(3.7) 13(25.0) 23(25.3) χ2=6.15 0.046 肝肾综合征[例(%)] 4(14.8) 11(21.2) 28(30.8) χ2=3.48 0.175 28 d病死率[例(%)] 3(11.1) 10(19.2) 44(48.4) χ2=19.83 < 0.001 表 2 不同评分模型的ROC曲线分析
评分模型 AUC(95% CI) 最佳阈值(分) 特异度 敏感度 MELD评分 0.584(0.493~0.676) 30.74 0.708 0.456 MDF评分 0.696(0.605~0.786) 64.66 0.805 0.632 GAHS评分 0.644(0.554~0.735) 10.50 0.858 0.421 ABIC评分 0.745(0.662~0.827) 8.92 0.903 0.526 CLIF-SOFA评分 0.795(0.726~0.863) 8.50 0.679 0.790 表 3 单因素Cox回归分析结果
变量 单因素分析 HR(95% CI) P值 基础肝病 2.644(1.625~4.304) < 0.001 性别 1.391(0.193~10.052) 0.743 年龄(岁) 1.042(1.012~1.072) 0.005 WBC(×109/L) 1.076(1.041~1.113) < 0.001 NEU(×109/L) 1.085(1.045~1.127) < 0.001 LYM(×109/L) 0.886(0.543~1.444) 0.626 PLT(×109/L) 0.996(0.991~1.001) 0.086 Alb(g/L) 0.939(0.882~0.999) 0.046 ALT(U/L) 1.004(0.998~1.011) 0.216 AST(U/L) 1.003(0.999~1.007) 0.100 GGT(U/L) 0.997(0.995~0.999) 0.003 TBil(μmol/L) 1.001(0.999~1.003) 0.390 BUN(mmol/L) 1.059(1.034~1.084) < 0.001 Cr(μmol/L) 1.003(1.002~1.005) < 0.001 Na+(mmol/L) 0.989(0.955~1.023) 0.519 K+(mmol/L) 1.256(0.945~1.669) 0.116 INR 1.474(1.291~1.684) < 0.001 PT(s) 1.057(1.037~1.077) < 0.001 消化道出血 0.871(0.469~1.618) 0.663 感染 3.127(1.770~5.521) < 0.001 腹水 1.156(0.666~2.005) 0.606 肝性脑病 3.028(1.773~5.171) < 0.001 肝肾综合征 3.758(2.226~6.344) < 0.001 -
[1] O'SHEA RS, DASARATHY S, McCULLOUGH AJ, et al. Alcoholic liver disease[J]. Hepatology, 2010, 51(1): 307-328. DOI: 10.1002/hep.23258 [2] ZHAI QH, SONG FJ, XU TJ, et al. Nutritional status of 156 patients with severe alcoholic liver disease[J/CD]. Chin J Liver Dis (Electronic Version), 2020, 12(1): 44-49. (in Chinese)翟庆慧, 宋芳娇, 徐天娇, 等. 156例重症酒精性肝病患者营养现况调查[J/CD].中国肝脏病杂志(电子版), 2020, 12(1): 44-49. [3] SANDAHL TD, JEPSEN P, THOMSEN KL, et al. Incidence and mortality of alcoholic hepatitis in Denmark 1999-2008: A nationwide population based cohort study[J]. J Hepatol, 2011, 54(4): 760-764. DOI: 10.1016/j.jhep.2010.07.016 [4] SINGAL AK, BATALLER R, AHN J, et al. ACG clinical guideline: Alcoholic liver disease[J]. Am J Gastroenterol, 2018, 113(2): 175-194. DOI: 10.1038/ajg.2017.469 [5] Cooperative Group of Alcoholic Liver Disease. A multicenter study of alcoholic liver disease in China[J]. Chin J Dig, 2007, 27(4): 231-234. (in Chinese) DOI: 10.3760/j.issn:0254-1432.2007.04.005全国酒精性肝病调查协作组.全国酒精性肝病的多中心调查分析[J].中华消化杂志, 2007, 27(4): 231-234. DOI: 10.3760/j.issn:0254-1432.2007.04.005 [6] HMOUD BS, PATEL K, BATALLER R, et al. Corticosteroids and occurrence of and mortality from infections in severe alcoholic hepatitis: A meta-analysis of randomized trials[J]. Liver Int, 2016, 36(5): 721-728. DOI: 10.1111/liv.12939 [7] LOUVET A, WARTEL F, CASTEL H, et al. Infection in patients with severe alcoholic hepatitis treated with steroids: Early response to therapy is the key factor[J]. Gastroenterology, 2009, 137(2): 541-548. DOI: 10.1053/j.gastro.2009.04.062 [8] JENNE CN, KUBES P. Immune surveillance by the liver[J]. Nat Immunol, 2013, 14(10): 996-1006. DOI: 10.1038/ni.2691 [9] DIRCHWOLF M, RUF AE. Role of systemic inflammation in cirrhosis: From pathogenesis to prognosis[J]. World J Hepatol, 2015, 7(16): 1974-1981. DOI: 10.4254/wjh.v7.i16.1974 [10] THURSZ M, FORREST E, RODERICK P, et al. The clinical effectiveness and cost-effectiveness of STeroids Or Pentoxifylline for Alcoholic Hepatitis (STOPAH): A 2×2 factorial randomised controlled trial[J]. Health Technol Assess, 2015, 19(102): 1-104. DOI: 10.3310/hta191020 [11] VERGIS N, ATKINSON SR, KNAPP S, et al. In patients with severe alcoholic hepatitis, prednisolone increases susceptibility to infection and infection-related mortality, and is associated with high circulating levels of bacterial DNA[J]. Gastroenterology, 2017, 152(5): 1068-1077. DOI: 10.1053/j.gastro.2016.12.019 [12] FORREST EH, ATKINSON SR, RICHARDSON P, et al. Application of prognostic scores in the STOPAH trial: Discriminant function is no longer the optimal scoring system in alcoholic hepatitis[J]. J Hepatol, 2018, 68(3): 511-518. DOI: 10.1016/j.jhep.2017.11.017 [13] SANDAHL TD, VILSTRUP H, JEPSEN P. The long-term prognosis of alcoholic hepatitis is poor and independent of disease severity for patients surviving an acute episode[J]. J Hepatol, 2018, 68(6): 1330-1331. DOI: 10.1016/j.jhep.2018.02.025 [14] HERNAEZ R, SOLÀ E, MOREAU R, et al. Acute-on-chronic liver failure: An update[J]. Gut, 2017, 66(3): 541-553. DOI: 10.1136/gutjnl-2016-312670 [15] MEHTA G, MOOKERJEE RP, SHARMA V, et al. Systemic inflammation is associated with increased intrahepatic resistance and mortality in alcohol-related acute-on-chronic liver failure[J]. Liver Int, 2015, 35(3): 724-734. DOI: 10.1111/liv.12559 [16] MICHELENA J, ALTAMIRANO J, ABRALDES JG, et al. Systemic inflammatory response and serum lipopolysaccharide levels predict multiple organ failure and death in alcoholic hepatitis[J]. Hepatology, 2015, 62(3): 762-772. DOI: 10.1002/hep.27779 [17] WANG BY. Importance of the clinical research on alcoholic hepatitis[J]. J Clin Hepatol, 2019, 35(3): 469-471. (in Chinese) DOI: 10.3969/j.issn.1001-5256.2019.03.002王炳元.重视酒精性肝炎的临床研究[J].临床肝胆病杂志, 2019, 35(3): 469-471. DOI: 10.3969/j.issn.1001-5256.2019.03.002 [18] SERSTÉ T, CORNILLIE A, NJIMI H, et al. The prognostic value of acute-on-chronic liver failure during the course of severe alcoholic hepatitis[J]. J Hepatol, 2018, 69(2): 318-324. DOI: 10.1016/j.jhep.2018.02.022 [19] KIM HY, KIM CW, KIM TY, et al. Assessment of scoring systems for acute-on-chronic liver failure at predicting short-term mortality in patients with alcoholic hepatitis[J]. World J Gastroenterol, 2016, 22(41): 9205-9213. DOI: 10.3748/wjg.v22.i41.9205