Table 2.

Different models of multi-variate logistic regression in prediction of invasive disease.

Characteristics	Model1	Model2	Model3
	OR (95% CI)	OR (95% CI)	OR (95% CI)
Age
<=60	1 (reference)	1 (reference)	1 (reference)
>60	1.63 (0.63-4.32)	1.41 (0.48-4.22)	1.15 (0.4-3.32)
Gender
Female	1 (reference)	1 (reference)	1 (reference)
Male	1.35 (0.35-5.26)	1.36 (0.3-6.25)	3.1 (0.64-17.06)
BMI
<=25	1 (reference)	1 (reference)	1 (reference)
>25	1.6 (0.6-4.46)	1.52 (0.51-4.71)	1.59 (0.55-4.78)
Hypertension
No	1 (reference)	1 (reference)	1 (reference)
Yes	2.21 (0.75-7.13)	2.91 (0.85-11.87)	2.81 (0.85-10.66)
Smoking
No	1 (reference)	1 (reference)	1 (reference)
Yes	9.72 (2-59.1)	8.29 (1.53-55.2)	6.68 (1.23-45.19)
CEA
Low	—	1 (reference)	—
High	—	1.88 (0.69-5.18)	—
sCD27
Low	—	—	1 (reference)
High	—	—	2.9 (0.94-9.44)
sPDL2
Low	—	—	1 (reference)
High	—	—	4.23 (1.2-17.7)

Model1: epidemiology variables, Model 2: epidemiology variables + CEA, Model 3: epidemiology variables + sCD27 + sPDL2.