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©The Author(s) 2020.
World J Clin Cases. Mar 6, 2020; 8(5): 887-899
Published online Mar 6, 2020. doi: 10.12998/wjcc.v8.i5.887
Published online Mar 6, 2020. doi: 10.12998/wjcc.v8.i5.887
Table 2 Univariate and multivariate analyses for technical success
Variable | Univariate analysis | Multivariate analysis | ||
OR (95%CI) | P value | OR (95%CI) | P value | |
Age | 1.16 (0.99-1.35) | 0.123 | ||
Gender | 2.37 (0.42-5.38) | 0.076 | ||
Etiology of cirrhosis | 6.16 (0.23-9.22) | 0.065 | ||
Manifestation of liver disease | ||||
Varices | 0.97 (0.12-1.78) | 0.068 | ||
Ascites | 3.68 (1.51-5.49) | 0.032 | ||
Hepatic hydrothorax | 5.24 (0.45-7.22) | 0.189 | ||
Abdominal pain | 3.22 (0.12-7.21) | 0.112 | ||
Splenectomy | 2.22 (0.21-4.36) | 0.156 | ||
Child-Pugh score | 5.70 (1.78-8.92) | 0.029 | ||
Baseline MELD score | 4.36 (0.45-8.31) | 0.061 | ||
CTPV score | 7.70 (1.78-13.92) | 0.012 | 5.56 (3.55-9.67) | 0.002 |
- Citation: Niu XK, Das SK, Wu HL, Chen Y. Computed tomography-based score model/nomogram for predicting technical and midterm outcomes in transjugular intrahepatic portosystemic shunt treatment for symptomatic portal cavernoma. World J Clin Cases 2020; 8(5): 887-899
- URL: https://www.wjgnet.com/2307-8960/full/v8/i5/887.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v8.i5.887