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©The Author(s) 2022.
World J Clin Cases. Aug 16, 2022; 10(23): 8186-8195
Published online Aug 16, 2022. doi: 10.12998/wjcc.v10.i23.8186
Published online Aug 16, 2022. doi: 10.12998/wjcc.v10.i23.8186
Table 1 Demographic and clinical characteristics
Survival group (n = 157) | Death group (n = 50) | P value | |
Age (yr) | 40 (32, 48) | 51(39, 55) | 0.000 |
Gender (male, %) | 130/157, 82.8 | 42/50, 84.0 | 0.844 |
Classification of liver failure (%) | 0.006 | ||
A | 116/157, 73.89 | 29/50, 58.00 | |
B | 92/157, 58.60 | 16/50, 32.00 | |
C | 2/157, 1.27 | 5/50, 10.00 | |
Stage of liver failure (%) | 0.000 | ||
Early | 101/157, 64.33 | 5/50, 10.00 | |
Middle | 42/157, 26.75 | 13/50, 26.00 | |
Late | 14/157, 8.92 | 32/50, 64.00 | |
Complications (%) | |||
Pulmonary infection | 39/157, 24.84 | 24/50, 48.00 | 0.003 |
Hepatic encephalopathy | 10/157, 6.37 | 23/50, 46.00 | 0.000 |
Spontaneous bacterial peritonitis | 10/157, 6.37 | 11/50, 22.00 | 0.005 |
Hepatorenal syndrome | 0/157, 0 | 4/50, 8.00 | 0.003 |
Upper gastrointestinal hemorrhage | 2/157, 1.27 | 6/50, 12.00 | 0.003 |
PLT (109/L) | 128 (102, 154.50) | 103 (87.50, 153) | 0.044 |
ALB (g/dL) | 3.28 ± 0.50 | 3.21 ± 0.53 | 0.381 |
Tbil (mg/dL) | 13.55 (9.59, 19.88) | 17.19 (12.36, 25.65) | 0.011 |
ALT (U/L) | 948.50 (400, 1984.7) | 838.8 (331.40, 1705.78) | 0.626 |
AST (U/L) | 687.90 (273.85, 1258.50) | 721.50 (252.50, 1554.35) | 0.800 |
CHE (U/L) | 4359 (3288, 5429) | 3898 (2786.75, 5029.50) | 0.197 |
Glu (mmol/L) | 4.26 (3.65, 5.23) | 4.64 (3.73, 5.75) | 0.276 |
BUN (mg/dL) | 9.08 (7.21, 12.30) | 10.97 (8.42, 15.16) | 0.014 |
Cr (mg/dL) | 0.73 (0.61, 0.84) | 0.76 (0.62, 0.94) | 0.309 |
Na (mmol/L) | 136.30 (134.30, 138.00) | 135.22 (132.48, 138.33) | 0.172 |
NLR | 2.66 (1.89, 4.05) | 4.00 (2.42, 6.43) | 0.000 |
INR | 1.83 (1.65, 2.13) | 2.23 (1.93, 3.18) | 0.000 |
HBsAg (log10IU/L) | 3.70 (3.31, 3.91) | 3.23 (2.65, 3.74) | 0.001 |
HBeAg positive (%) | 89/157 (56.70) | 16/50 (32.00) | 0.002 |
HBV-DNA (log10IU/L) | 6.34 (5.14, 7.46) | 6.39 (4.87, 7.82) | 0.698 |
AFP (ng/mL) | 63.15 (15.35, 204) | 16.18 (6.79, 48.33) | 0.000 |
GP73 (ng/mL) | 237.92 (208.84, 309.79) | 305.83 (215.32, 366.49) | 0.003 |
Table 2 Cox regression analysis of factors affecting short-term prognosis in hepatitis B virus-related acute-on-chronic liver failure
B | SE | Wald | HR | P value | 95%CI | |
GP73 (ng/mL) | 0.009 | 0.002 | 23.872 | 1.009 | 0.000 | 1.005-1.013 |
Stage of liver failure (middle) | 1.621 | 0.529 | 9.373 | 5.056 | 0.002 | 1.792-14.269 |
Stage of liver failure (late) | 3.106 | 0.490 | 401.135 | 22.335 | 0.000 | 8.544-58.388 |
Pulmonary infection | 0.721 | 0.298 | 5.832 | 2.056 | 0.016 | 1.145-3.690 |
Hepatorenal syndrome | 1.924 | 0.646 | 8.867 | 6.847 | 0.003 | 1.930-24.291 |
HBsAg | -0.371 | 0.140 | 6.998 | 0.690 | 0.008 | 0.524-0.908 |
Table 3 Receiver operating characteristic curve analysis of the prognostic model
Prognostic model | Area under curve | 95%CI | Sensitivity | Specificity | Youden’s index | Positive predictive value | Negative predictive value |
MELD | 0.699 | 0.631-0.761 | 0.652 | 0.543 | 0.196 | 31.24 | 82.80 |
MELD-Na | 0.734 | 0.668-0.793 | 0.684 | 0.554 | 0.238 | 32.81 | 84.63 |
GP73-ACLF | 0.916 | 0.870-0.950 | 0.816 | 0.597 | 0.413 | 39.20 | 91.06 |
Table 4 Comparison of prediction effectiveness between different prognostic models
Prognostic model | Difference in area | 95%CI | Z | P value |
GP73-ACLF vs MELD | 0.217 | 0.122-0.312 | 4.487 | < 0.0001 |
GP73-ACLF vs MELD-Na | 0.183 | 0.087-0.278 | 3.746 | 0.0002 |
MELD vs MELD-Na | 0.035 | -0.018 to 0.087 | 1.286 | 0.198 |
- Citation: Ye QX, Huang JF, Xu ZJ, Yan YY, Yan Y, Liu LG. Short-term prognostic factors for hepatitis B virus-related acute-on-chronic liver failure. World J Clin Cases 2022; 10(23): 8186-8195
- URL: https://www.wjgnet.com/2307-8960/full/v10/i23/8186.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i23.8186