Table 4.

Logistic regression model to identify the biomarkers for PTB.

	Univariate		Multivariate
	OR (95% CI)	P	aOR (95% CI)*	P
MMP1	9.15 (4.28–19.56)	<0.001	10.34 (3.31–32.27)	<0.001
MMP2	0.64 (0.52–0.77)	<0.001	0.65 (0.53–0.79)	<0.001
MMP3	0.76 (0.64–0.9)	0.002	0.75 (0.62–0.92)	0.005
MMP7	19.7 (7.93–48.9)	<0.001	37.73 (11.25–126.58)	<0.001
MMP8	2.25 (1.75–2.89)	<0.001	2.07 (1.61–2.67)	<0.001
MMP9	2.46 (1.94–3.13)	<0.001	2.35 (1.84–3.01)	<0.001
MMP12	26.53 (6.54–107.61)	<0.001	28.54 (6.75–120.64)	<0.001
MMP13	1.74 (1.3–2.34)	<0.001	2.04 (1.44–2.9)	<0.001
TIMP1	0.58 (0.4–0.83)	0.003	0.58 (0.4–0.84)	0.004
TIMP2	0.25 (0.16–0.37)	<0.001	0.25 (0.16–0.38)	<0.001
TIMP3	0.84 (0.69–1.01)	0.057	0.85 (0.7–1.03)	0.096
TIMP4	3022.8 (65.04–140484.7)	<0.001	1164.4 (43.34–31287.9)	<0.001

^*Multivariate model was adjusted for age and gender.