Miao Jing, Guo Liying, Wang Li, Cui Huantian, Li Qiuwei, Wang Jing, Zhu Bo, Jia Jianwei
Tianjin Second People's Hospital, Tianjin 300192, China.
Shandong University, Qingdao 266237, Shandong, China. Corresponding author: Jia Jianwei, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Dec;32(12):1496-1501. doi: 10.3760/cma.j.cn121430-20200720-00536.
To verify the accuracy of the model for end-stage liver disease-sodium (MELD-Na), chronic liver failure consortium organ failure score (CLIF-C OFs), Chinese Group on the Study of Severe Hepatitis B-Acute-on-chronic Liver Failure score (COSSH-ACLFs) and neutrophil-to-lymphocyte ratio (NLR) scoring systems in patients with hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF) and to explore its value in clinical application.
The clinical data (gender, age, disease stage) and laboratory indicators [alanine transferase (ALT), glutamate transaminase (AST), total bilirubin (TBil), albumin (ALB), blood urea nitrogen (BUN), creatinine (Cr), serum sodium (Na), prothrombin activity (PTA), international standardized ratio (INR), neutrophils count (NEU) and lymphocytes count (LYM)] of 163 patients with HBV-ACLF from July 2010 to July 2018 in Tianjin Second People's Hospital were retrospectively analyzed. After 8 weeks of admission, the patients were divided into death group (90 cases) and survival group (73 cases) according to survival status. The MELD-Na, CLIF-C OFs, COSSH-ACLFs scores and NLR of death group and survival group were compared, and a multivariate Logistic regression analysis was used to analyze the independent risk factors for HBV-ACLF. Propensity score analysis was used to demonstrate the accuracy of the method and receiver operating characteristic curve (ROC) was used to analyze the diagnostic value of the independent risk factors.
There were no significant differences in gender, disease stage, ALB, BUN, Cr, Na, NEU on admission between the two groups (all P > 0.05). The age [years old: 43.00 (34.00, 53.00) vs. 50.00 (42.50, 55.00)] and serum levels of ALT [U/L: 252.90 (61.43, 613.33) vs. 359.10 (115.15, 784.70)], AST [U/L: 146.15 (90.88, 449.30) vs. 237.80 (109.00, 635.05)], TBil [μmol/L: 265.10 (183.10, 347.60) vs. 307.50 (229.90, 405.55)] and INR [2.13 (1.91, 2.46) vs. 2.29 (2.02, 2.94)] in survival group were lower than those in death group and the PTA [%: 34.00 (28.00, 38.00) vs. 31.00 (24.00, 36.00)] and LYM [×10/L: 1.37 (0.72, 1.79) vs. 0.85 (0.51, 1.39)] levels were significantly higher than those in death group (both P < 0.05). The MELD-Na [17.99 (16.60, 19.63) vs. 19.16 (17.43, 20.80)], CLIF-C OFs [9.00 (8.00, 9.00) vs. 9.00 (9.00, 10.00)], COSSH-ACLFs [4.87 (4.63, 5.48) vs. 5.47 (5.07, 5.80)] and NLR [2.86 (2.21, 5.19) vs. 4.38 (2.54, 8.46)] were lower in survival group than those of the death group (all P < 0.05). Logistic regression analysis showed that CLIF-C OFs [odds ratio (OR) = 0.532, 95% confidence interval (95%CI) was 0.380-0.744, P < 0.05] and NLR (OR = 0.901, 95%CI was 0.835-0.972, P < 0.05) were the independent risk factors for the prognosis of HBV-ACLF. After propensity score matching, the data of 59 cases in each group were successfully matched, there were no significant differences in age, gender, disease stage, ALT, AST, TBil, ALB, BUN, Cr, Na, PTA, INR and NEU between the two groups (all P > 0.05), and statistically significant difference in the baseline LYM [×10/L: 1.35 (0.74, 1.73) vs. 0.81 (0.51, 1.30)] were found between the survival group and the death group. The CLIF-C OFs, COSSH-ACLFs scores and NLR were lower in survival group compared with those of the death group [CLIF-C OFs: 9.00 (8.00, 9.00) vs. 9.00 (8.00, 10.00), COSSH-ACLFs: 4.99 (4.69, 5.64) vs. 5.34 (5.03, 5.81), NLR: 2.85 (2.21, 5.72) vs. 4.38 (2.47, 10.20), all P < 0.05] and CLIF-C OFs (OR = 0.593, 95%CI was 0.401-0.878, P < 0.05) and NLR (OR = 0.593, 95%CI was 0.401-0.878, P < 0.05) were still as the independent risk factors for the prognosis of HBV-ACLF. The sensitivity of CLIF-C OFs ≥ 9 and NLR ≥ 3.14 to forecast the 8-week clinical outcome of HBV-ACLF patients were 76.7% and 67.1%, the specificity were 48.9% and 56.7%, and AUC were 0.662 and 0.623. CLIF-C OFs was combined with NLR to increase the specificity of forecasting the 8-week clinical outcome of HBV-ACLF patients to 77.8%.
CLIF-C OFs and NLR scores are independent risk factors affecting the clinical outcome of HBV-ACLF, and have better clinical value in predicting the prognosis of HBV-ACLF. Combined application of the two scores will be more beneficial to the prognosis of HBV-ACLF.
验证终末期肝病钠评分(MELD-Na)、慢性肝衰竭协作组器官衰竭评分(CLIF-C OFs)、中华医学会感染病学分会肝衰竭与人工肝学组乙型肝炎相关慢加急性肝衰竭评分(COSSH-ACLFs)及中性粒细胞与淋巴细胞比值(NLR)评分系统在乙型肝炎病毒相关慢加急性肝衰竭(HBV-ACLF)患者中的准确性,并探讨其临床应用价值。
回顾性分析2010年7月至2018年7月在天津市第二人民医院住院的163例HBV-ACLF患者的临床资料(性别、年龄、疾病分期)及实验室指标[丙氨酸转氨酶(ALT)、谷氨酸转氨酶(AST)、总胆红素(TBil)、白蛋白(ALB)、血尿素氮(BUN)、肌酐(Cr)、血清钠(Na)、凝血酶原活动度(PTA)、国际标准化比值(INR)、中性粒细胞计数(NEU)及淋巴细胞计数(LYM)]。入院8周后,根据生存情况将患者分为死亡组(90例)和生存组(73例)。比较死亡组和生存组的MELD-Na、CLIF-C OFs、COSSH-ACLFs评分及NLR,并采用多因素Logistic回归分析HBV-ACLF的独立危险因素。采用倾向评分分析验证方法的准确性,绘制受试者工作特征曲线(ROC)分析独立危险因素的诊断价值。
两组患者入院时性别、疾病分期、ALB、BUN、Cr、Na、NEU比较,差异均无统计学意义(均P>0.05)。生存组患者年龄[岁:43.00(34.00,53.00)比50.00(42.50,55.00)]、血清ALT水平[U/L:252.90(61.43,613.33)比359.10(115.15,784.70)]、AST水平[U/L:146.15(90.88,449.30)比237.80(109.00,635.05)]、TBil水平[μmol/L:265.10(183.10,347.60)比307.50(229.90,405.55)]及INR[2.13(1.91,2.46)比2.29(2.02,2.94)]均低于死亡组,PTA水平[%:34.00(28.00,38.00)比31.00(24.00,36.00)]及LYM水平[×10/L:1.37(0.72,1.79)比0.85(0.51,1.39)]均高于死亡组(均P<0.05)。生存组MELD-Na[17.99(16.60,19.63)比19.16(17.43,20.80)]、CLIF-C OFs[9.00(8.00,9.00)比9.00(9.00,10.00)]、COSSH-ACLFs[4.87(4.63,5.48)比5.47(5.07,5.80)]及NLR[2.86(2.21,5.19)比4.38(2.54,8.46)]均低于死亡组(均P<0.05)。Logistic回归分析显示,CLIF-C OFs[比值比(OR)=0.532,95%置信区间(95%CI)为0.380-0.744,P<0.05]及NLR(OR=0.901,95%CI为0.835-0.972,P<0.05)是HBV-ACLF预后的独立危险因素。倾向评分匹配后,两组各成功匹配59例,两组患者年龄、性别、疾病分期、ALT、AST、TBil、ALB、BUN、Cr、Na、PTA、INR及NEU比较,差异均无统计学意义(均P>0.05),生存组与死亡组基线LYM水平[×10/L:1.35(0.74,1.73)比0.81(0.51,1.30)]差异有统计学意义。生存组CLIF-C OFs、COSSH-ACLFs评分及NLR均低于死亡组[CLIF-C OFs:9.00(8.00,9.00)比9.00(8.00,10.00),COSSH-ACLFs:4.99(4.69,5.64)比5.34(5.03,5.81),NLR:2.85(2.21,5.72)比4.38(2.47,10.20),均P<0.05],CLIF-C OFs(OR=0.593,95%CI为0.401-0.878,P<0.05)及NLR(OR=0.593,95%CI为0.401-0.878,P<0.05)仍是HBV-ACLF预后的独立危险因素。CLIF-C OFs≥9及NLR≥3.14预测HBV-ACLF患者8周临床结局的敏感度分别为76.7%和67.1%,特异度分别为48.9%和56.