. 2023 Nov 19;14:194. doi: 10.1186/s13244-023-01494-7

Table 4.

Univariate and multivariate logistic regression analysis for predicting high-grade ccRCC

Variables	Univariate analysis-males			Multivariate analysis-males			Univariate analysis-females			Multivariate analysis-females
Variables	OR	95% CI	p-value	OR	95% CI	p-value	OR	95% CI	p-value	OR	95% CI	p-value
Age (years)	1.02	0.994–1.048	0.138				1.032	0.994–1.071	0.103
Size (cm)	1.04	1.026–1.054	< 0.001^*	1.039	1.025–1.053	< 0.001^*	1.035	1.018–1.051	< 0.001^*	1.031	1.014–1.049	< 0.001^*
BMI (kg/m²)	0.903	0.824–0.990	0.029^*				0.933	0.840–1.036	0.194
SFI (cm²/m²)	0.988	0.971–1.005	0.181				0.984	0.967–1.002	0.080	0.975	0.955–0.994	0.012^*
VFI (cm²/m²)	0.984	0.973–0.995	0.005^*	0.979	0.965–0.992	0.002^*	0.985	0.967–1.003	0.098
IFI (cm²/m²)	1.192	1.021–1.391	0.026^*	1.408	1.162–1.705	< 0.001^*	1.345	1.108–1.632	0.003^*	1.446	1.155–1.810	0.001^*
TFI (cm²/m²)	0.991	0.984–0.998	0.017^*				0.991	0.982–1.001	0.079
rVAT (%)	0.967	0.944–0.990	0.006^*				0.992	0.960–1.025	0.627

BMI Body mass index, SFI Subcutaneous fat index, VFI Visceral fat index, IFI Intramuscular fat index, TFI Total fat index, rVAT Relative VFA

^*Significant results