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©The Author(s) 2015.
World J Gastroenterol. Jul 21, 2015; 21(27): 8373-8381
Published online Jul 21, 2015. doi: 10.3748/wjg.v21.i27.8373
Published online Jul 21, 2015. doi: 10.3748/wjg.v21.i27.8373
Table 1 Baseline characteristics of the study cohort
Variables | Total | Non-ACLF | ACLF | P value |
(n = 382) | (n = 330) | (n = 52) | ||
Demographics | ||||
Sex | ||||
Female | 60 (15.7) | 49 (14.8) | 11 (21.2) | 0.2452 |
Male | 322 (84.3) | 281 (85.2) | 41 (78.8) | |
Age (yr) | ||||
< 40 | 226 (59.2) | 207 (62.7) | 19 (36.5) | < 0.0012 |
≥ 40 | 156 (40.8) | 123 (37.3) | 33 (63.5) | |
Underlying disease | ||||
HBV carriers | 98 (25.7) | 93 (28.2) | 5 (9.6) | 0.0012 |
CHB | 255 (58.9) | 217 (65.8) | 38 (73.1) | |
Compensatory cirrhosis | 29 (7.6) | 20 (6.0) | 9 (17.3) | |
Biochemical indicators | ||||
ALT (U/L) | 746.9 (338.1, 1229.0) | 754.2 (361.6, 1215.7) | 644.4 (324.9, 1430.6) | 0.9243 |
AST (U/L) | 448.0 (217.7, 836.1) | 432.5 (216.1, 806.9) | 529.4 (273.8, 960.9) | 0.0913 |
TBil (μmol/L) | ||||
< 171 | 234 (61.3) | 210 (63.6) | 24 (46.2) | 0.0162 |
≥ 171 | 148 (38.7) | 120 (36.4) | 28 (53.8) | |
PTA (%) | ||||
> 60 | 184 (48.1) | 181 (54.8) | 3 (5.8) | < 0.0012 |
50.1-60 | 124 (32.5) | 100 (30.3) | 24 (46.1) | |
40-50 | 74 (19.4) | 49 (14.9) | 25 (48.1) | |
ALB4 (g/L) | 37.2 ± 4.8 | 37.4 ± 4.6 | 36.0 ± 5.3 | 0.0431 |
CHE (U/L) | 4801.8 ± 1645.5 | 4864.2 ± 1559.1 | 4666.2 ± 1840.4 | 0.4201 |
K (mmol/L) | 3.91 ± 0.44 | 3.92 ± 0.44 | 3.90 ± 0.41 | 0.8261 |
Na (mmol/L) | 138.7 ± 2.9 | 138.8 ± 2.9 | 137.6 ± 2.8 | 0.0041 |
Cr5 (μmol/L) | 67.6 ± 14.5 | 67.6 ± 12.7 | 67.1 ± 22.7 | 0.8131 |
Virology indicators | ||||
HBeAg6 (IU/mL) | ||||
Negative | 88 (23.0) | 73 (22.1) | 15 (28.8) | 0.3682 |
Positive | 280 (73.3) | 243 (73.6) | 37 (71.2) | |
HBV DNA (copies/mL) | ||||
< 106 | 153 (40.1) | 144 (43.6) | 9 (17.3) | < 0.0012 |
106-107 | 104 (27.2) | 93 (28.2) | 11 (21.2) | |
> 107 | 125 (32.7) | 93 (28.2) | 32 (61.5) |
Table 2 Forward multivariate logistic regression analysis of significant variables
Variables | Odds ratio | 95%CI | P value | |
Lower | Upper | |||
Age (yr) | ||||
< 40 | Reference | |||
≥ 40 | 2.859 | 1.399 | 5.840 | 0.004 |
TBil (μmol/L) | ||||
< 171 | Reference | |||
≥ 171 | 2.894 | 1.408 | 5.946 | 0.004 |
PTA (%) | ||||
> 60 | Reference | |||
50.1-60 | 10.19 | 2.894 | 35.882 | < 0.001 |
40-50 | 26.285 | 7.311 | 94.499 | < 0.001 |
HBV DNA (copies/mL) | ||||
< 106 | Reference | |||
106-107 | 1.929 | 0.691 | 5.389 | 0.210 |
> 107 | 7.15 | 2.918 | 17.523 | < 0.001 |
Table 3 Regression coefficients and integer risk scores of acute-on-chronic liver failure predictors estimated from the derivation set
ACLF predictors | Regression coefficient | P value | Risk score |
Age ≥ 40 (yr) | 1.128 | 0.010 | 1 |
TBil ≥ 171 (μmol/L) | 1.237 | 0.007 | 1 |
PTA (%) | |||
50.1-60 | 2.158 | 0.001 | 2 |
40-50 | 2.868 | < 0.001 | 3 |
HBV DNA > 107 (copies/mL) | 1.946 | < 0.001 | 2 |
Overall risk level | ACLF rate | Total score | |
Low risk | 0%-4.7% | 0-3 | |
High risk | 26.0%-68.8% | 4-7 |
- Citation: Gao FY, Liu Y, Li XS, Ye XQ, Sun L, Geng MF, Wang R, Liu HM, Zhou XB, Gu LL, Liu YM, Wan G, Wang XB. Score model for predicting acute-on-chronic liver failure risk in chronic hepatitis B. World J Gastroenterol 2015; 21(27): 8373-8381
- URL: https://www.wjgnet.com/1007-9327/full/v21/i27/8373.htm
- DOI: https://dx.doi.org/10.3748/wjg.v21.i27.8373