Table 2. Logistic regression analysis... | American Society of Hematology

Table 2.

Logistic regression analysis for predictors of response according to PET4 criteria in rituximab-treated DLBCL patients (n = 97)

	OR	95% CI	P
Univariate analysis
AUC₁ ≥9400 mg × h per liter	3.47	1.52-8.21	.004
TMTV₀, cm³ (×10⁻²)	0.91	0.82-0.98	.033
IPI (3-4)	0.36	0.15-0.82	.017
Chemotherapy (CHOP)	0.95	0.42-2.14	.90
Male	0.56	0.24-1.27	.17
Age, y	1.04	1.003-1.08	.036
Final model*
AUC₁ ≥9400 mg × h per liter	5.56	2.19-15.62	.0006
Age, y	1.06	1.02-1.10	.004

	OR	95% CI	P
Univariate analysis
AUC₁ ≥9400 mg × h per liter	3.47	1.52-8.21	.004
TMTV₀, cm³ (×10⁻²)	0.91	0.82-0.98	.033
IPI (3-4)	0.36	0.15-0.82	.017
Chemotherapy (CHOP)	0.95	0.42-2.14	.90
Male	0.56	0.24-1.27	.17
Age, y	1.04	1.003-1.08	.036
Final model*
AUC₁ ≥9400 mg × h per liter	5.56	2.19-15.62	.0006
Age, y	1.06	1.02-1.10	.004

OR, odds ratio.

Final model includes significant covariates in the multivariate analysis.