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©The Author(s) 2022.
World J Clin Cases. Nov 16, 2022; 10(32): 11743-11752
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Table 4 Multivariate analysis of parameters of patients with esophageal varices and without esophageal varices
Parameter | Patients with | Patients without | P value |
EVs (n = 86) | EVs (n = 25) | ||
PVSA (mm3) | 211.96 ± 69.98 | 175.16 ± 77.43 | 0.15 |
PVD (mm) | 13.76 ± 2.48 | 12.94 ± 2.73 | 0.02 |
SVD (mm) | 9.54 ± 3.86 | 7.16 ± 3.36 | 0.15 |
CTLV (cm3) | 913.54 ± 312.89 | 1241.92 ± 34.83 | 0.01 |
CTSV(cm3) | 787.78 ± 399.46 | 439.23 ± 126.25 | 0.02 |
Rate of liver volume change | -0.12 ± 0.55 | 0.12 ± 0.48 | 0.11 |
Rate of spleen volume change | 3.46 ± 2.49 | 1.38 ± 2.73 | 0.04 |
Liver volume change (cm3) | 135.85 ± 334.26 | 112.05 ± 280.68 | 0.03 |
Spleen volume change (cm3) | 243.52 ± 163.89 | 611.33 ± 293.17 | > 0.05 |
- Citation: Yang LB, Zhao G, Tantai XX, Xiao CL, Qin SW, Dong L, Chang DY, Jia Y, Li H. Non-invasive model for predicting esophageal varices based on liver and spleen volume. World J Clin Cases 2022; 10(32): 11743-11752
- URL: https://www.wjgnet.com/2307-8960/full/v10/i32/11743.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i32.11743