Table 3.

Uni- and multi-covariate logistic regression models for lymph node positive breast cancer

Covariate	Uni-covariate		Multi-covariate
	Odds Ratio (95% CI)	p-value	Odds Ratio (95% CI)	p-value
Age (≥50 vs. <50)	0.467 (0.300-0.728)	0.001	0.562 (0.337-0.935)	0.0265
Financial Class (Uninsured vs. insured)	1.178 (0.384-3.614)	0.775
Financial Class (Medicare vs. insured)	0.511 (0.303-0.863)	0.012
Financial Class (Medicaid vs. insured)	1.565 (0.898-2.726)	0.114
Ethnicity (African-American vs. White)	1.961 (1.180-3.258)	0.009
Ethnicity (Hispanic vs. White)	3.289 (1.710-6.326)	<0.001	3.229 (1.533-6.803)	0.002
Ethnicity (Other vs. White)	0.444 (0.088-2.549)	0.327
Histology(Lobular vs. Ductal)	0.682 (0.295-1.577)	0.371
Histology (Other vs. Ductal)	0.239 (0.026-2.157)	0.202
Grade (moderate vs. well-differentiated)	2.987 (1.609-5.545)	0.001	2.692 (1.287-5.630)	0.0085
Grade (poor vs. well-differentiated)	2.503 (1.351-4.636)	0.004	1.879 (0.822-4.297)	0.135
ER Status(negative vs. positive)	0.839 (0.527-1.336)	0.460
PR Status (negative vs. positive )	0.945 (0.613-1.456)	0.798
Ki-67 (≥14% vs. <14%)	1.431 (0.917-2.233)	0.115
HER-2 Status (negative vs. positive)	0.509 (0.316-0.818)	0.005	NA
Subtype (HER-2 -Enriched vs. Luminal A)	2.138 (0.886-5.156)	0.091
Subtype (Luminal-HER-2 vs. Luminal A)	2.939 (1.543-5.599)	0.001
Subtype (Luminal B vs. Luminal A)	1.733 (1.003-2.992)	0.049
Subtype (Triple Negative vs. Luminal A)	1.186 (0.625-2.254)	0.602
Tumor Size (T2 vs. T1)	2.197 (1.359-3.553)	0.001	2188 (1.291-3.710)	0.0036
Tumor Size (T3 vs. T1)	10.301 (4.434-23.931)	<0.001	9.669 (3.940-23.730)	<0.0001
Tumor Size (T4 vs. T1)	15.145 (5.550-41.330)	<0.001	12.522 (4.402-35.620)	<0.0001

CI: confidence interval.

NA: not applicable, HER-2 not included in the model