Copyright
©The Author(s) 2020.
World J Gastroenterol. Apr 14, 2020; 26(14): 1647-1659
Published online Apr 14, 2020. doi: 10.3748/wjg.v26.i14.1647
Published online Apr 14, 2020. doi: 10.3748/wjg.v26.i14.1647
Table 2 Univariate logistic regression analysis of preoperative data for microvascular invasion presence in the training cohort
Variable | OR (95%CI) | P value |
Age, yr | 0.981 (0.962–1.001) | 0.062 |
Gender, male vs female | 1.488 (0.823–2.689) | 0.188 |
Number of tumors, multiple vs single | 5.174 (2.611–10.252) | < 0.001 |
Tumor size, cm | 1.214 (1.155–1.332) | < 0.001 |
Etiology, non-hepatitis B vs hepatitis | 0.837 (0.511–1.370) | 0.479 |
AFP, ng/mL | ||
20–40 vs ≤ 20 | 1.936 (1.100–3.407) | 0.022 |
≥ 400 vs ≤ 20 | 4.546 (2.687–7.691) | < 0.001 |
WBC, 109/L, > 4.0 vs ≤ 4.0 | 1.117 (0.711–1.927) | 0.537 |
Neutrophils, 109/L, >3.0 vs ≤ 3.0 | 1.989 (1.289–3.069) | 0.002 |
PLT, 109/L, > 125 vs ≤ 125 | 1.375 (0.883–2.143) | 0.159 |
RDW, > 13.0 vs ≤ 13.0 | 1.116 (0.713–1.748) | 0.630 |
NLR, > 2.0 vs ≤ 2.0 | 1.927 (1.244–2.983) | 0.003 |
PLR, > 100 vs ≤ 100 | 1.945 (1.261–3.000) | 0.003 |
SII, > 300 vs ≤ 300 | 2.170 (1.404–3.352) | < 0.001 |
PT, sec, > 13 vs ≤ 13 | 1.514 (0.931–2.462) | 0.094 |
ALB, g/L, > 40 vs ≤ 40 | 0.949 (0.617–1.460) | 0.812 |
ALT, U/L, > 40 vs ≤ 40 | 0.882 (0.570–1.366) | 0.575 |
AST, U/L, > 35 vs ≤ 35 | 1.275 (0.831–1.958) | 0.266 |
GGT, U/L, > 45 vs ≤ 45 | 1.486 (0.947–2.334) | 0.085 |
TB, μmol/L, > 19 vs ≤ 19 | 1.297 (0.788–2.133) | 0.307 |
ALP, U/L, > 120 vs ≤ 120 | 1.677 (1.078–2.610) | 0.022 |
FIB, g/L, > 2.0 vs ≤ 2.0 | 1.397 (0.852–2.290) | 0.185 |
GLU, mmol/L, > 6.1 vs ≤ 6.1 | 0.904 (0.518–1.579) | 0.723 |
ALBI grade, 1 vs 2 and 3 | 1.266 (0.825–1.942) | 0.281 |
- Citation: Wang L, Jin YX, Ji YZ, Mu Y, Zhang SC, Pan SY. Development and validation of a prediction model for microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2020; 26(14): 1647-1659
- URL: https://www.wjgnet.com/1007-9327/full/v26/i14/1647.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i14.1647