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. Author manuscript; available in PMC: 2024 Feb 1.
Published in final edited form as: J Hepatol. 2022 Nov 8;78(2):238–246. doi: 10.1016/j.jhep.2022.10.027

Table 3.

Regression model with NASH histologic improvement as the dependent variable.

Independent variables Regression coefficients (P value)
Baseline lobular inflammation score 1.21 (P=0.011)
dSAT change −2.00 (P=0.044)
Hepatic PDFF change −0.08 (P=0.033)
Goodness of fit (deviance) test P=0.0016

dSAT, deep subcutaneous adipose tissue; PDFF, proton density fat fraction.

A Bayesian information criterion-based stepwise linear regression procedure was used to search for a model predicting NASH histologic improvement. Potential predictors included age, sex, race, ethnicity, treatment group, baseline histology, baseline values and changes of weight, superficial subcutaneous adipose tissue, dSAT, visceral adipose tissue, hepatic PDFF, alanine aminotransferase and aspartate aminotransferase.