临床研究
Copyright ©The Author(s) 2018.
世界华人消化杂志. 2018-04-28; 26(12): 700-706
在线出版 2018-04-28. doi: 10.11569/wcjd.v26.i12.700
表1 3组患者的一般资料
一般资料CLD组 (n = 50)ACLF组 (n = 36)HRS组 (n = 36)F2P
年龄(岁)43.62 ± 6.2944.55 ± 6.1345.03 ± 6.720.5480.579
BMI (kg/m2)23.54 ± 1.8923.24 ± 1.9023.04 ± 1.460.8610.425
性别 n (%)
28 (56.00)20 (55.56)23 (63.89)0.6820.771
22 (44.00)16 (44.44)13 (36.11)
肝病类型 n (%)
乙型肝炎46 (92.00)34 (94.44)32 (88.89)0.7430.691
丙型肝炎4 (8.00)2 (5.56)4 (11.11)
肝病病史 (年)7.08 ± 3.647.32 ± 3.258.29 ± 3.661.2980.277
甲胎蛋白 (μg/L)41.73 ± 7.1842.73 ± 7.1945.59 ± 8.862.7010.071
PTA (%)37.01 ± 17.3133.65 ± 15.2729.36 ± 9.312.8180.064
TBil (μmol/L)169.83 ± 38.89178.95 ± 37.77190.95 ± 39.512.9080.058
表2 3组患者的Cys-C、β2-MG、Scr和BUN水平的对比
分组nCys-c (mg/L)β2-MG (mg/L)Scr (μmol/L)BUN (mmol/L)
CLD组501.03 ± 0.110.18 ± 0.0686.33 ± 25.124.91 ± 1.13
ACLF组361.16 ± 0.15a0.21 ± 0.06a92.15 ± 18.01a5.26 ± 1.04a
HRS组361.38 ± 0.23ac0.29 ± 0.10ac128.25 ± 22.51ac6.89 ± 1.65ac
F47.33023.69341.22026.715
P0.0000.0000.0000.000
表3 应用Cys-C、β2-MG、Scr和BUN水平预测HRS的AUC
检验结果变量截点AUC标准误差P95%CI
下限上限
Scr114.23 μmol/L0.8130.0460.0000.7240.903
BUN6.60 mmol/L0.5870.0570.0310.4750.698
Cys1.31 mg/L0.7990.0500.0000.7010.896
β2-MG0.27 mg/L0.7410.0530.0000.6380.844
联合诊断0.9400.0200.0000.9010.979
表4 都应用Cys-C、β2-MG、Scr和BUN水平单独以及联合预测HRS的诊断效能 (%)
诊断方式准确率灵敏度特异度阳性预测值阴性预测值
Scr84.4369.44a90.7075.7687.64a
BUN75.4172.22a76.7456.5286.84a
β2-MG79.5175.00a81.4062.7988.61a
Cys81.1583.33a80.2363.8392.00a
联合诊断80.3391.6775.5861.1195.59

引文著录: 徐晓琳. Cys-C、β2-MG、Scr和BUN水平在预测慢加急性肝衰竭患者合并肝肾综合征中的价值. 世界华人消化杂志 2018; 26(12): 700-706