Table 2 Univariate and multivariate logistic regression analysis of clinical characteristics for predicting the BMI in the training set
Characteristics | Univariate | Multivariate | ||
|---|---|---|---|---|
OR (95% CI) | p value | OR (95% CI) | p value | |
Age at diagnosis (years) | 1.547 (1.219, 1.962) | < 0.001 | 1.551 (1.184, 2.031) | 0.001 |
Gender | 2.500 (1.079, 5.792) | 0.033 | NA | NA |
Maximum diameter(cm) | 1.215 (1.065, 1.387) | 0.004 | NA | NA |
NSE (ng/mL) | 1.003 (1.002, 1.005) | < 0.001 | 1.003 (1.002, 1.005) | < 0.001 |
Ferritin (ng/mL) | 1.007 (1.003, 1.011) | < 0.001 | NA | NA |
LDH (U/L) | 1.000 (1.000, 1.001) | 0.047 | NA | NA |
VMA (μmol/L) | 1.002 (1.000, 1.003) | 0.010 | 1.002 (1.001, 1.003) | 0.006 |
HVA (μmol/L) | 1.003 (0.999, 1.006) | 0.161 | NA | NA |
SUVmax | 1.309 (0.860, 1.991) | 0.403 | NA | NA |
SUVmean | 1.309 (0.860, 1.991) | 0.209 | NA | NA |
MTV (mL) | 1.003 (1.000, 1.006) | 0.032 | NA | NA |
TLG | 1.001 (1.000, 1.002) | 0.029 | NA | NA |