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©The Author(s) 2018.
World J Gastroenterol. Oct 7, 2018; 24(37): 4272-4280
Published online Oct 7, 2018. doi: 10.3748/wjg.v24.i37.4272
Published online Oct 7, 2018. doi: 10.3748/wjg.v24.i37.4272
Table 1 Comparison of clinical data in the two groups
Hepatic fibrosis group (n = 245) | Control group (n = 93) | t/χ2 value | P value | |
Sex (male/%) | 136/55.51 | 45/48.39 | 1.375 | 0.241 |
Age | 40.31 ± 10.47 | 37.82 ± 13.72 | 1.785 | 0.075 |
SWV (m/s) | 3.02 ± 0.80 | 1.52 ± 0.62 | 16.310 | 0.000 |
ALT (U/L) | 52.23 ± 26.02 | 46.87 ± 87.45 | 1.487 | 0.138 |
AST (U/L) | 41.12 ± 12.72 | 36.14 ± 14.52 | 1.607 | 0.109 |
AST/ALT | 0.93 ± 0.41 | 0.74 ± 0.23 | 4.221 | 0.000 |
PLT (109/L) | 184.02 ± 02.21 | 192.37 ± 37.42 | 1.220 | 0.223 |
TBIL (μmol/L) | 19.83 ± 9.83 | 18.75 ± 8.72 | 1.570 | 0.117 |
HA (μg/L) | 113.24 ± 24.78 | 63.23 ± 23.54 | 15.748 | 0.000 |
LN (μg/L) | 36.21 ± 21.34 | 34.21 ± 10.28 | 1.485 | 0.139 |
CIV (μg/L) | 33.28 ± 28.20 | 20.89 ± 9.56 | 4.144 | 0.000 |
PIIINP (μg/L) | 36.29 ± 29.45 | 32.87 ± 2.32 | 1.100 | 0.272 |
APRI | 0.85 ± 0.61 | 0.62 ± 0.52 | 3.219 | 0.001 |
FIB-4 | 1.63 ± 0.89 | 1.17 ± 0.62 | 4.578 | 0.000 |
Table 2 Binary logistic regression analysis of risk factors associated with hepatic fibrosis
Influencing factors | B | SE | Wald | OR | 95%CI | P value |
SWV | 0.931 | 0.325 | 5.024 | 2.537 | 1.342-4.797 | 0.025 |
AST/ALT | 0.561 | 0.286 | 2.765 | 1.752 | 0.896-3.069 | 0.056 |
HA | 0.838 | 0.127 | 5.352 | 2.311 | 1.802-2.964 | 0.021 |
CIV | 0.466 | 0.183 | 4.042 | 1.593 | 1.113-2.280 | 0.046 |
APRI | 0.719 | 0.312 | 4.642 | 2.053 | 1.114-3.784 | 0.037 |
FIB-4 | 0.433 | 0.287 | 2.973 | 1.542 | 0.879-2.706 | 0.063 |
Table 3 Diagnostic efficacy of various indicators in the diagnosis of hepatic fibrosis
Index | AUC | Best diagnostic point | Sensitivity, % | Specificity, % |
SWV | 0.873 | 1.66 m/s | 86.90 | 88.20 |
AST/ALT | 0.803 | 0.920 | 55.90 | 95.70 |
HA | 0.848 | 87.79 μg/L | 91.00 | 79.60 |
CIV | 0.784 | 30.36 μg/L | 52.70 | 98.90 |
APRI | 0.789 | 0.787 | 57.60 | 86.00 |
FIB-4 | 0.797 | 1.157 | 80.00 | 65.60 |
Table 4 Correlation between serological data and the degree of hepatic fibrosis
Index | r | P value |
SWV (m/s) | 0.767 | 0.000 |
HA (μg/L) | 0.711 | 0.000 |
AST/ALT | 0.684 | 0.000 |
CIV (μg/L) | 0.681 | 0.000 |
APRI | 0.634 | 0.000 |
FIB-4 | 0.702 | 0.000 |
Table 5 Multiple linear regression analysis of the degree of hepatic fibrosis
Non-standardized coefficient | Standard coefficient | t | Sig. | ||
B value | Standard error | B value | |||
Constant | -4.046 | 0.209 | - | -19.365 | 0.000 |
SWV | 1.024 | 0.148 | 0.2200 | 6.930 | 0.000 |
AST/ALT | 1.170 | 0.190 | 0.3231 | 7.861 | 0.000 |
HA | 0.011 | 0.005 | 0.2010 | 7.126 | 0.000 |
CIV | 0.020 | 0.003 | 0.1980 | 5.749 | 0.000 |
APRI | 0.719 | 0.102 | 0.1880 | 7.040 | 0.000 |
FIB-4 | 0.379 | 0.088 | 0.1490 | 4.304 | 0.000 |
- Citation: Xu B, Zhou NM, Cao WT, Li XJ. Evaluation of elastography combined with serological indexes for hepatic fibrosis in patients with chronic hepatitis B. World J Gastroenterol 2018; 24(37): 4272-4280
- URL: https://www.wjgnet.com/1007-9327/full/v24/i37/4272.htm
- DOI: https://dx.doi.org/10.3748/wjg.v24.i37.4272