Research Article

BV associated bacteria specifically BVAB 1 and BVAB 3 as biomarkers for HPV risk and progression of cervical neoplasia

Table 3

Factors associated with the severity of Cervical Intraepithelial Neoplasia (CIN).

UNADJUSTEDADJUSTED
OR(95% CI,p.value)OR(95% CI,p.value)

A vaginae Positive1.09(0.45-2.61, p =0.850)0.39(0.09-1.71, p =0.215)
BVAB 1 Positive1.34(0.51-3.51, p =0.551)1.51(0.42-5.55, p =0.525)
BVAB 3 Positive2.08(1.00-4.40, p =0.052)2.72(0.90-8.55, p =0.079)
Lactobacillus spp Positive0.82(0.35-1.92, p =0.642)0.64(0.21-1.84, p =0.406)
S. sanguinegens Positive1.18(0.54-2.59, p =0.679)1.02(0.37-2.80, p =0.976)
HPV Infection0.94(0.37-2.39, p =0.901)1.77(0.32-10.20, p =0.518)
HPV P16 Positive1.98(0.70-5.76, p =0.202)1.17(0.36-3.87, p =0.796)
HPV P18_45 Positive0.79(0.32-1.91, p =0.599)0.51(0.16-1.61, p =0.251)
HPV group P3 Positive1.64(0.80-3.38, p =0.180)1.20(0.43-3.34, p =0.730)
HPV group P4 Positive0.55(0.21-1.39, p =0.206)0.34(0.10-1.16, p =0.087)
HPV group P5 Positive0.95(0.43-2.10, p =0.893)0.80(0.29-2.11, p =0.647)
Age0.95(0.91-1.00, p =0.041)0.97(0.91-1.03, p =0.364)
Gravida11.02(0.19-5.22, p =0.984)1.15(0.19-6.90, p =0.878)
Gravida20.65(0.12-3.33, p =0.599)0.84(0.14-5.23, p =0.850)
Gravida30.30(0.05-1.82, p =0.190)0.40(0.05-3.10, p =0.373)
Gravida40.34(0.04-2.46, p =0.284)0.43(0.04-5.05, p =0.494)
Gravida5+0.27(0.04-1.87, p =0.184)0.35(0.03-3.79, p =0.382)
No. of lifetime sexual partners0.93(0.79-1.10, p =0.412)0.87(0.71-1.06, p =0.161)
Having a regular partner1.78(0.84-3.82, p =0.137)2.11(0.85-5.34, p =0.110)
No. of sex partners in past 12 months1.09(0.66-1.87, p =0.729)0.76(0.40-1.48, p =0.389)
Time on HAART (years)0.93(0.86-1.00, p =0.066)1.09(0.87-1.39, p =0.447)
No. of years since HIV diagnosis0.92(0.85-0.99, p =0.019)0.87(0.70-1.08, p =0.216)
LSIL (UNADJUSTED)HSIL (UNADJUSTED)
BVAB 2 Positive0.25(0.09-0.66, p =0.005)0.49(0.17-1.41, p =0.184)

BVAB 2 is analysed as a multinomial regression with the referent being the group with normal histology (NILM) and the rest are based on the ordinal logistic regression.