Abstract

Bacterial vaginosis is a health problem of pregnant women, due to its increased prevalence, and increased maternal and perinatal morbidity and mortality, especially its relationship with preterm labor. There is a decrease in recovery with standard treatment of metronidazole. To date there has been no map to predict treatment failure. Maternal immune response factors and germ virulence factors are expected to be used as a high-risk case of treatment failure. This study intends to determine whether the levels of interleukin-1?, interleukin-8 and sialidase in vaginal smears of pregnant women against the risk can be used as predictors of failure of treatment of pregnant women with BV with Mtronidazol. This study used an observational case control study design. The case group was single pregnant women living with a gestational age of less than 20 weeks with BV infection who had failure treatment with metronidazole and the control group was pregnant women with BV infection who recovered with metronidazole treatment. The research was conducted at the Obstetrics Polyclinic of Sanjiwani Hospital. The study material was taken from the vaginal smear of pregnant women with BV and an elisa examination was carried out to determine the level of interleukin-1? In this study, 26 pregnant women were found as cases of treatment failure and 26 pregnant women as controls. There were no differences in the average maternal age, gestational age and parity between cases and controls. There were significant differences in mean IL-1? levels (p = 0.004), IL-8 levels (p = 0.013) and sialidase (p = 0.008), in the case group compared to controls. The cutoff of IL-1?, IL-8 and sialidase levels as predictors of treatment failure was 1401.17 ng/dl, 329.02 ng/dl and 2.38 ng/dl, respectively. Based on the results of the study above, cutoffs of IL-1?, IL-8 and sialidase levels as predictors of treatment failure were 1401.17 ng / dl, 329.02 ng / dl and 2.38 ng / dl, respectively. Further research is needed to determine the influence of high levels as a risk factor for treatment failure.

Full Text
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