Diagnostic efficacy and influencing factors of non-invasive liver fibrosis scores in chronic hepatitis B fibrosis: Cross-sectional study

Table 8 Multivariate logistic regression results for any fibrosis (F1-F4 vs F0) (n = 627)

Model	Predictor variable	AOR (95%CI)	P value	Model AUC
APRI	The model itself	1.072 (1.018-1.145)	0.021	0.777 (0.736-0.818)
	Age Q2 (vs Q1)	1.071 (0.630-1.819)	0.8
	Age Q3 (vs Q1)	1.495 (0.841-2.686)	0.174
	Age Q4 (vs Q1)	1.783 (0.971-3.343)	0.066
	Male (vs female)	2.096 (1.373-3.199)	< 0.001
	Nutritional risk (yes vs none)	2.049 (0.835-5.910)	0.144
	Child-Pugh B (vs A)	6.455 (2.507-22.031)	< 0.001
	Child-Pugh C (vs A)	9.821 (1.691-187.753)	0.036
GPR	The model itself	1.58 (1.282-2.017)	< 0.001	0.816 (0.779-0.853)
	Age Q2 (vs Q1)	0.981 (0.574-1.676)	0.945
	Age Q3 (vs Q1)	1.324 (0.741-2.388)	0.207
	Age Q4 (vs Q1)	1.492 (0.807-2.811)	0.346
	Male (vs female)	1.728 (1.120-2.663)	0.013
	Nutritional risk (yes vs none)	2.087 (0.852-6.006)	0.133
	Child-Pugh B (vs A)	5.596 (2.186-19.007)	0.001
	Child-Pugh C (vs A)	12.127 (2.125-230.362)	0.024
FIB-4	The model itself	1.193 (1.086-1.329)	< 0.001	0.791 (0.750-0.831)
	Age Q2 (vs Q1)	0.899 (0.526-1.534)	0.697
	Age Q3 (vs Q1)	0.99 (0.543-1.818)	0.975
	Age Q4 (vs Q1)	0.957 (0.485-1.907)	0.899
	Male (vs female)	2.218 (1.446-3.408)	< 0.001
	Nutritional risk (yes vs none)	1.971 (0.799-5.706)	0.169
	Child-Pugh B (vs A)	5.212 (2.011-17.850)	0.002
	Child-Pugh C (vs A)	7.041 (1.192-135.262)	0.074
AST/ALT	The model itself	0.972 (0.623-1.593)	0.906	0.745 (0.703-0.787)
	Age Q2 (vs Q1)	1.071 (0.631-1.818)	0.799
	Age Q3 (vs Q1)	1.393 (0.770-2.546)	0.275
	Age Q4 (vs Q1)	1.77 (0.934-3.419)	0.084
	Male (vs female)	2.106 (1.378-3.221)	< 0.001
	Nutritional risk (yes vs none)	2.186 (0.902-6.253)	0.108
	Child-Pugh B (vs A)	8.232 (3.248-27.872)	< 0.0001
	Child-Pugh C (vs A)	15.884 (2.800-301.739)	0.011

Age was categorized into quartiles: Q1 (≤ 34 years, reference group), Q2 (35-47 years), Q3 (48-55 years), and Q4 (≥ 56 years). This table presents four independent multivariate logistic regression models, each evaluating the independent predictive ability of a different serum non-invasive indicator for any liver fibrosis (F1-F4) vs no fibrosis (F0). The “model AUC” represents the area under the receiver operating characteristic curve for each regression model, indicating its overall diagnostic performance in distinguishing patients with any fibrosis (F1-F4) from those without fibrosis (F0). The area under the curve (AUC) was calculated by deriving a predicted probability for each subject based on the model’s predictor variables, plotting an receiver operating characteristic curve using this probability against the actual fibrosis status (F1-F4 vs F0), and then determining the area under this curve. An AUC value closer to 1 indicates superior discriminatory ability of the model. AOR: Adjusted odds ratio; CI: Confidence interval; AUC: Area under the curve; APRI: Aspartate aminotransferase to platelet ratio index; GPR: Gamma-glutamyl transferase to platelet ratio index; FIB-4: Fibrosis-4 index; AST/ALT: Aspartate aminotransferase to alanine aminotransferase ratio.