Copyright
©The Author(s) 2019.
World J Gastroenterol. Sep 7, 2019; 25(33): 4959-4969
Published online Sep 7, 2019. doi: 10.3748/wjg.v25.i33.4959
Published online Sep 7, 2019. doi: 10.3748/wjg.v25.i33.4959
Table 2 Univariate and multivariate analysis of factors associated with liver stiffness measurements as continuous variable in 184 patients with nonalcoholic steatohepatitis by linear regression analysis
Univariate analysis | Multivariate analysis | |||||
Variable | β | SE | P | β | SE | P |
Age (yr) | 0.053 | 0.025 | 0.037a | 0.017 | 0.022 | 0.451 |
Male gender | 0.957 | 0.792 | 0.228 | |||
BMI (kg/m2) | -0.032 | 0.083 | 0.700 | |||
CAP (dB/m) | 0.022 | 0.010 | 0.026a | 0.041 | 0.009 | < 0.001b |
LS IQR (kPa) | 0.329 | 0.109 | 0.003b | 0.294 | 0.022 | 0.451 |
Histology at biopsy | ||||||
Steatosis | -0.895 | 0.490 | 0.069 | -0.532 | 0.445 | 0.233 |
Lobular inflammation | 1.134 | 0.082 | 0.152 | 0.776 | ||
1.366 | 0.650 | 0.008b | 0.638 | 0.532 | 0.131 | |
Ballooning | 2.769 | 0.509 | < 0.001b | 2.665 | 0.421 | < 0.001b |
Fibrosis | 0.331 | 0.344 |
- Citation: Lee JI, Lee HW, Lee KS. Value of controlled attenuation parameter in fibrosis prediction in nonalcoholic steatohepatitis. World J Gastroenterol 2019; 25(33): 4959-4969
- URL: https://www.wjgnet.com/1007-9327/full/v25/i33/4959.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i33.4959