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. 2020 Oct 20;13:3861–3872. doi: 10.2147/DMSO.S249949

Table 4.

Univariate Analysis and Multiple Regression Analysis Showing the Predictive Power of Both Biomarkers for Diagnosing NAFLD and Its Grades According to NAS Score

Univariate Analysis* OR 95% CI p-value
LPS 1.35 1.152–1.576 0.001**
CD163 1.99 1.455–2.746 0.001**
Multiple Regression Analysis**
NAS AOR 95% CI p-value
LPS Not NASH 1 (Reference)
Borderline NASH 1.377 0.965–1.966 0.07
NASH 1.453 1.015–2.078 0.04
CD163 Not NASH 1 (Reference)
Borderline NASH 1.896 1.144–3.142 0.01
NASH 2.160 1.283–3.637 0.004

Notes: *Univariate analysis showing the predictive power of LPS (lipopolysaccharide) and CD163 for NAFLD (Non-alcoholic fatty liver disease). **Multiple regression analysis showing the predictive power of both biomarkers for the diagnosis of NASH and Borderline NASH versus Not-NASH with adjusted OR. p-value calculated depend on logistic regression analysis.

Abbreviations: AOR, adjusted odd ratio; C.I, confidence interval; CD163, cluster of differentiation 163; LPS, lipopolysaccharide; NASH, non-alcoholic steatohepatitis; NAFLD, non-alcoholic fatty liver disease; OR, odds ratio.