Copyright
©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
Variable | Univariate analysis | Multivariate analysis | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Age | 3.22 (0.34-6.35) | 0.191 | ||
Gender | 1.37 (0.33-3.22) | 0.087 | ||
Etiology of cirrhosis | 7.16 (0.23-11.22) | 0.076 | ||
Manifestation of liver disease | ||||
Varices | 2.23 (0.78-4.18) | 0.162 | ||
Ascites | 2.58 (1.21-6.41) | 0.079 | ||
Hepatic hydrothorax | 3.14 (0.33-5.22) | 0.198 | ||
Abdominal pain | 2.22 (0.67-5.21) | 0.134 | ||
Splenectomy | 1.22 (0.56-3.37) | 0.132 | 4.67 (2.59-7.44) | 0.017 |
Child-Pugh score | 3.23 (0.89-6.32) | 0.147 | ||
Baseline MELD score | 2.36 (0.49-5.41) | 0.078 | ||
CTPV score | 7.70 (1.78-13.92) | 0.012 | 9.22 (4.78-13.45) | 0.009 |
- 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