Abstract
Objective:
To determine whether education level and occupation are risk factors of vaginitis in pregnant women and to investigate relationship between vaginitis occurrence during pregnancy and perinatal mortality rates.
Methods:
A total of 319 women of early pregnancy or mid-pregnancy were enrolled. Six specimens were collected from posterior fornix of each pregnant woman and then cultured for identification of Neisseria gonorrhoeae, intestinal bacteria, general bacteria, fungi, mycoplasma, and chlamydia, respectively.
Results:
The pregnant women in the “elementary school or below” group and the “middle school” group had significantly higher incidences of vaginitis compared with the pregnant women in the groups of “high school”, “skill education”, and “college or above”. The pregnant women in the groups of “Worker”, “Government employee”, “Company employee”, and “Professionals” had significantly lower vaginitis incidences. The women with infections of Neisseria gonorrhoeae, intestinal bacteria, and general bacteria had higher perinatal mortalities (0.063 ± 0.011, 0.052 ± 0.012, and 0.017 ± 0.008, respectively) than women with infections of fungi, mycoplasma, and Chlamydia (0.002 ± 0.007, 0.003 ± 0.004, and 0.001 ± 0.001, respectively).
Conclusions:
Education level and occupation are risk factors related to incidences of vaginitis in pregnant women. The bacteria-related vaginitis is a major reason of perinatal mortality.
KEY WORDS: Infection, Reproductive tract, Adverse perinatal outcome, Vaginitis, Perinatal mortality
INTRODUCTION
During pregnancy, alterations in estrogen and progesterone levels induce physiological changes, such as PH values, in the lower genital tract of pregnant women.1-3 Such physiological changes will result in vaginal mucosa congestion and hypertrophy, which benefit growth of anaerobic bacteria and other pathogenic microorganisms within the vagina.4-7 In addition, cervical gland hypertrophy, proliferation of cervical cells, decreases in B lymphocyte numbers change the local immune environments of cervix and vagina.8 Increasing opportunities of infection will lead to inflammation in the vagina and cervix, therefore increasing the risk of fetus or neonate death and leading to higher perinatal mortality.
Perinatal mortality refers to the death of a fetus or neonate and is the basis to calculate the perinatal mortality rates.9,10 It has been reported that bacterial vaginosis increases the incidence of preterm birth in pregnant women and that oral clindamyc treatment reduces premature rates related to bacterial vaginosis.11 Svare et al. reported that for women of less than 20 week pregnancy in Denmark, vaginosis was an independent risk factor for premature, low birth weight neonates, and chorioamnionitis.12 Mijovic G et al. reported that earlier diagnosis of vaginal infections and timely treatments significantly reduced morbidity and mortality of perinatal newborn.13
Currently in China, only about 11.4% of infection cases are diagnosed. The detection rates of trichomonas vaginitis infection are about 1.2-2.1%.14 The detection rates of bacterial vaginosis in pregnant women are about 10-50%.15 Education level and occupation are two important factors related with vaginosis.15,16 However, whether education level and occupation are risk factor for vaginosis in pregnancy is not clear. Moreover, correlation between the vaginal infection rates with pathogenic microorganisms and the adverse perinatal outcome in China is still not clear. Especially in economically poor areas of China, reproductive tract infections during pregnancy lead to miscarriage, premature birth, premature rupture of membranes, amniotic fluid infections, neonatal pneumonia, neonatal sepsis, low birth-weight neonates, neonatal jaundice, chorioamnionitis, and postpartum endometritis. However, the correlation between the reproductive tract infections during pregnancy and the perinatal mortality is rarely reported.
In this study, the correlation between education levels and occupations of pregnant women and incidence of vaginitis for pregnant women was determined. Correlation of vaginitis during pregnancy and perinatal mortality rate was also investigated.
METHODS
Patients
A total of 319 women (Table-I) of early pregnancy or mid-pregnancy in Lishui region, Zhejiang province, China were enrolled from Jan. 2011 to Sep. 2013. Prior written and informed consent were obtained and the study was approved by the ethics review board of Lishui Maternity and Children Hospital, China. Six specimens were collected from posterior fornix of every pregnant woman (both asymptomatic and symptomatic) and then cultured for identification of Neisseria gonorrhoeae, intestinal bacteria, general bacteria, fungi, mycoplasma, and chlamydia, respectively. In all 1914 specimens collected from posterior fornix were used in this study. The study was approved by the ethics review board of Lishui Maternity and Children Hospital.
Table-I.
Information of pregnant women.
Items (n = 319) | Ranges | Mean |
---|---|---|
Ages | 20-37 | 26 |
Weights | 38-108 | 51 |
Examination times before delivery | 3-6 | 5.2 |
Body Mass Index | 15.63-36.63 | 22.16 |
Microorganism examination
Neisseria gonorrhoeae was cultured by inoculating specimens onto agar plates. Intestinal bacteria were cultured and identified using the semi-automatic bacterial identification instrument (bioMerieuxsa, Marcyletoile, French). Other kinds of bacteria were cultured by inoculating specimens into blood agar plates. Fungi were cultured by inoculating specimens into the sand paul medium. Mycoplasma was cultured and indentified using the isolation kit purchased from Zhuhai Dier bio-engineering Co., Ltd (Zhuhai, China). Chlamydia antigen was measured by Chlamydia trachomatis gold standard detection kit purchased from Lanzhou biological Technology Co., Ltd (Lanzhou, China). Genital tract secretion smear were made and identified.
Follow-up investigation of adverse pregnancy outcomes: Patients were followed-up for 12 months. Perinatal death caused by infection (e.g. perinatal death due to chorioamnionitis or vaginitis induced preterm labor) was recorded. Perinatal mortality was calculated based on the number of perinatal death.
Statistical analyses
SPSS 16.0 software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. Data was presented as the mean ± standard error of the mean (SEM). Single factor analysis was performed for each factor and analyzed by the logistic regression model. P < 0.05 was considered as statistically significant differences.
RESULTS
To determine if education level is a risk factor related to incidence of vaginitis for pregnant women, vaginal secretions were collected from these pregnant women enrolled in this study and were cultured for identification of possible pathogenic microorganisms. The relationship between vaginitis incidences and education level of these pregnant women were analyzed. As shown in Fig.1, the pregnant women in the “elementary school or below” group and the “middle school” group had significant higher incidence of vaginitis (63.1 ± 10.6 and 52 ± 12.3, respectively) in comparison with the pregnant women in the groups of “high school”, “skill education”, and “college or above” (17.4 ± 11.9, 11.7 ± 8.3, and 3.7 ± 4.1, respectively). These results suggest that education level is a risk factor related to incidence of vaginitis in pregnant women.
Fig.1.
Incidences of vaginitis in pregnant women with different education levels. Vaginitis incidences of pregnant women with different education in Lishui region, Zhejiang province, China were investigated. Six specimens were collected from posterior fornix of every pregnant woman and then cultured for identification of Neisseria gonorrhoeae, intestinal bacteria, general bacteria, fungi, mycoplasma, and chlamydia, respectively. The data was expressed as mean ± SEM. P <0.05 was considered as statistically significant differences. *, P<0.05 compared with the “Elementary school or below” group. #, P < 0.05 compared with the “middle school” group.
In this study, the relationship between vaginitis incidences and occupation of these pregnant women were also analyzed. As shown in Fig.2, the vaginitis incidences of the pregnant women in the groups of “Worker”, “Government employee”, “Company employee”, and “Professionals” were obviously lower (15.2 ± 10.2, 7.5 ± 6.3, 18.1 ± 12.3, and 9.7 ± 3.1, respectively) than the vaginitis incidences in the other three groups (52.5 ± 8.2, 53.1 ± 9.3, and 41.4 ± 14.1, respectively). These results suggest that occupation is also a risk factor related to incidence of vaginitis.
Fig. 2.
Incidences of vaginitis in pregnant women with various occupations. Vaginitis incidences of pregnant women with different occupations in Lishui region, Zhejiang province, China were investigated. Six specimens were collected from posterior fornix of every pregnant woman and then cultured for identification of Neisseria gonorrhoeae, intestinal bacteria, general bacteria, fungi, mycoplasma, and chlamydia, respectively. The data was expressed as mean ± SEM. P < 0.05 was considered as statistically significant differences. *, P < 0.05 compared with the “company employee” group.
To determine if vaginitis is related to adverse pregnancy outcomes, perinatal death caused by infection (e.g. perinatal death due to chorioamnionitis or vaginitis induced preterm labor) was recorded. And then perinatal mortality was calculated based on the number of perinatal death. As shown in Fig.3, the women with infections of bacteria, including Neisseria gonorrhoeae, intestinal bacteria, and general bacteria were related to higher perinatal mortalities (0.063 ± 0.011, 0.052 ± 0.012, and 0.017 ± 0.008, respectively) than women with infections of fungi, mycoplasma, and Chlamydia (0.002 ± 0.007, 0.003 ± 0.004, and 0.001 ± 0.001, respectively). These results suggest that vaginitis resulted from bacteria is a major reason of perinatal mortalities.
Fig.3.
The adverse pregnancy outcomes related to pregnant women with vaginitis resulted from different infections. The perinatal mortalities were investigated. The data was expressed as mean ± SEM. P <0.05 was considered as statistically significant differences. *,P < 0.05 compared with the “fungi” group. #, P < 0.05 compared with the “mycoplasma” group. &, P < 0.05 compared with the “chlamydia” group.
DISCUSSION
Microorganism infection of reproductive tract during pregnancy is a major cause of vaginitis. Microorganism infection is related to women’s behaviors. This study showed that education level and occupation are two risk factors related to incidence of vaginitis in pregnant women. Our result was consistent with a previous study by Zhang et al.16 Public health is often related to people’s education and their occupations.17,18 For example, occurrences of some endemic and emerging diseases, such as SARS, H5N1, and H1N1 influenza, are related to behaviors of humans and their education and occupations.16 Education level and condom use are protective factors of human papilloma virus infection in Urumqi, China, but occupation is a risk factor for human papilloma virus infection of women in this region.18
The bacterial infections in the lower female reproductive tract are a common reason of reproductive tract infection resulting in adverse perinatal outcome. It is reported that vaginitis in pregnancy is related to adverse perinatal outcome.19,20 Consistently, in this study, the women with infections of bacteria, such as Neisseria gonorrhoeae, intestinal bacteria, and general bacteria, had higher perinatal mortalities (0.063 ± 0.011, 0.052 ± 0.012, and 0.017 ± 0.008, respectively) than women with infections of fungi, mycoplasma, and Chlamydia (0.002 ± 0.007, 0.003 ± 0.004, and 0.001 ± 0.001, respectively). These results suggest that vaginitis resulted from bacteria is a major reason of perinatal mortalities when compared with vaginitis caused by fungi or other types of microorganisms. The fetus is protected from microorganism infection by the cervix, which controls and limits microbial infection by production of immune cytokines, and antimicrobial molecules.21 If this barrier is affected, bacteria may enter the uterine cavity, leading to adverse perinatal outcome. Therefore, improving women’s living ways and knowledge regarding reproductive health issues will help decrease the incidences of vaginitis and reduce adverse pregnancy outcomes.
This study mainly has two limitations. First, this report only studied the factors of education level and occupation in occurrence of vaginitis. The other risk factors for vaginitis in pregnancy, such as race/ethnicity, age, low income, sexual practices, smoking, etc., were not analyzed. Second, this study only reported the relationship between occurrence of vaginitis in pregnancy and perinatal mortality rates. The relationship between occurrence of vaginitis in pregnancy and other adverse perinatal outcomes (such as neonatal pneumonia, neonatal sepsis, low birth weight babies, neonatal jaundice, chorioamnionitis, postpartum endometritis, etc.) were not investigated.
In conclusion, our results showed that education level and occupation were risk factors related to incidences of vaginitis in pregnant women. The bacteria-related vaginitis was a major reason of perinatal mortalities.
ACKNOWLEDGEMENTS
This work was supported by Zhejiang Medicine Health Science and Technology Program (No. 2011KYA162).
Footnotes
Declaration of interest: None.
Authors’ Contribution
XDD conceived, designed and did statistical analysis & editing of manuscript.
FQX and LLD did data collection and manuscript writing.
XDD did review and final approval of manuscript.
REFERENCES
- 1.Anderson BL, Mendez-Figueroa H, Dahlke JD, Raker C, Hillier SL, Cu-Uvin S. Pregnancy-induced changes in immune protection of the genital tract: defining normal. Am J Obstet Gynecol. 2013;208(4):321.e1–9. doi: 10.1016/j.ajog.2013.01.014. doi: 10.1016/j.ajog.2013.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ghartey JP, Carpenter C, Gialanella P, Rising C, McAndrew TC, Mhatre M, et al. Association of bactericidal activity of genital tract secretions with Escherichia coli colonization in pregnancy. Am J Obstet Gynecol. 2012;207(4):297.e1–8. doi: 10.1016/j.ajog.2012.07.025. doi: 10.1016/j.ajog.2012.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Galiñanes S, Coppolillo E, Cifarelli M, Cora Eliseht M, Pellisa E, Losada M, et al. Vaginal inflammatory status in pregnant women with normal and pathogenic microbiota in lower genital tract. ISRN Obstet Gynecol 2011. 2011:835926. doi: 10.5402/2011/835926. doi: 10.5402/2011/835926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Martius J, Eschenbach DA. The role of bacterial vaginosis as a cause of amniotic fluid infection, chorioamnionitis and prematurity--a review. Arch Gynecol Obstet. 1990;247(1):1–13. doi: 10.1007/BF02390649. [DOI] [PubMed] [Google Scholar]
- 5.Srinivasan S, Morgan MT, Liu C, Matsen FA, Hoffman NG, Fiedler TL, et al. More than meets the eye: associations of vaginal bacteria with gram stain morphotypes using molecular phylogenetic analysis. PLoS One. 2013;8(10):e78633. doi: 10.1371/journal.pone.0078633. doi: 10.1371/journal.pone.0078633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Fooladi AAI, Khani S, Hosseini HM, Mousavi SF, Aghdam EM, Nourani MR. Impact of altered early infant gut microbiota following breastfeeding and delivery mode on allergic diseases. Inflamm Allergy Drug Targets. 2013;12(6):410–418. doi: 10.2174/1871528112666131205113129. [DOI] [PubMed] [Google Scholar]
- 7.Wen A, Srinivasan U, Goldberg D, Owen J, Marrs CF, Misra D, et al. Selected vaginal bacteria and risk of preterm birth: an ecological perspective. J Infect Dis. 2014;209(7):1087–1094. doi: 10.1093/infdis/jit632. doi: 10.1093/infdis/jit632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Africander D, Louw R, Verhoog N, Noeth D, Hapgood JP. Differential regulation of endogenous pro-inflammatory cytokine genes by medroxyprogesterone acetate and norethisterone acetate in cell lines of the female genital tract. Contraception. 2011;84(4):423–435. doi: 10.1016/j.contraception.2011.06.006. doi: 10.1016/j.contraception.2011.06.006. [DOI] [PubMed] [Google Scholar]
- 9.Rudge MVC, Lima SAM, El Dib RP, Marini G, Magalhães C, Calderon I, de MP. Effect of ambulatory versus hospital treatment for gestational diabetes or hyperglycemia on infant mortality rates: a systematic review. Sao Paulo Med J. 2013;131(5):331–337. doi: 10.1590/1516-3180.2013.1315560. doi: 10.1590/1516-3180.2013.1315560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Chambers GM, Lee E, Hoang VP, Hansen M, Bower C, Sullivan EA. Hospital utilization, costs and mortality rates during the first 5 years of life: a population study of ART and non-ART singletons. Hum Reprod. 2014;29(3):601–610. doi: 10.1093/humrep/det397. doi: 10.1093/humrep/det397. [DOI] [PubMed] [Google Scholar]
- 11.McGregor JA, French JI, Parker R, Draper D, Patterson E, Jones W, et al. Prevention of premature birth by screening and treatment for common genital tract infections: results of a prospective controlled evaluation. Am J Obstet Gynecol. 1995;173(1):157–167. doi: 10.1016/0002-9378(95)90184-1. [DOI] [PubMed] [Google Scholar]
- 12.Svare JA, Schmidt H, Hansen BB, Lose G. Bacterial vaginosis in a cohort of Danish pregnant women: prevalence and relationship with preterm delivery, low birthweight and perinatal infections. BJOG. 2006;113(12):1419–1425. doi: 10.1111/j.1471-0528.2006.01087.x. doi: 10.1111/j.1471-0528.2006.01087.x. [DOI] [PubMed] [Google Scholar]
- 13.Mijović G, Lukić G, Jokmanović N, Crnogorac S, Kuljić-Kapulica N, Gajić M, et al. Impact of vaginal and cervical colonisation/infection on preterm delivery. Vojnosanit Pregl. 2008;65(4):273–280. doi: 10.2298/vsp0804273m. [DOI] [PubMed] [Google Scholar]
- 14.Li Z, Wang SM, Shi JF, Zhao FH, Ma JF, Qiao YL, et al. Combined screening of cervical cancer, breast cancer and reproductive tract infections in rural China. Asian Pac J Cancer Prev. 2012;13(7):3529–3533. doi: 10.7314/apjcp.2012.13.7.3529. [DOI] [PubMed] [Google Scholar]
- 15.Caiyan X, Weiyuan Z, Minghui W, Songwen Z. Prevalence and risk factors of lower genital tract infections among women in Beijing, China. J Obstet Gynaecol Res. 2012;38(1):310–315. doi: 10.1111/j.1447-0756.2011.01624.x. doi: 10.1111/j.1447-0756.2011.01624.x. [DOI] [PubMed] [Google Scholar]
- 16.Zhang WY, Zhou L, Dang YL, Liu GL, Lu ZC, Yu L, Liu HC. Study of factors associated with subclinical chorioamnionitis in term pregnancy. Zhonghua Yi Xue Za Zhi. 2010;90(9):618–620. [Article in Chinese] [PubMed] [Google Scholar]
- 17.Vink WD, McKenzie JS, Cogger N, Borman B, Muellner P. Building a foundation for “One Health”: an education strategy for enhancing and sustaining national and regional capacity in endemic and emerging zoonotic disease management. Curr Top MicrobiolImmunol. 2013;366:185–205. doi: 10.1007/82_2012_241. doi: 10.1007/82_2012_241. [DOI] [PubMed] [Google Scholar]
- 18.Chen Z, Meng W, DU R, Zhu Y, Zhang Y, Ding Y. Genotype distribution and the relative risk factors for human papillomavirus in Urumqi, China. Exp Ther Med. 2013;6(1):85–90. doi: 10.3892/etm.2013.1073. doi: 10.3892/etm.2013.1073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Svare JA, Schmidt H, Hansen BB, Lose G. Bacterial vaginosis in a cohort of Danish pregnant women: prevalence and relationship with preterm delivery, low birth weight and perinatal infections. BJOG. 2006;113(12):1419–1425. doi: 10.1111/j.1471-0528.2006.01087.x. [DOI] [PubMed] [Google Scholar]
- 20.Leitich H, Bodner-Adler B, Brunbauer M, Kaider A, Egarter C, Husslein P. Bacterial vaginosis as a risk factor for preterm delivery: a meta-analysis. Am J Obstet Gynecol. 2003;189(1):139–147. doi: 10.1067/mob.2003.339. [DOI] [PubMed] [Google Scholar]
- 21.Ohshima D, Qin J, Konno H, Hirosawa A, Shiraishi T, Yanai H, et al. RANK signaling induces interferon-stimulated genes in the fetal thymicstroma. Biochem Biophys Res Commun. 2011;408(4):530–536. doi: 10.1016/j.bbrc.2011.04.049. doi: 10.1016/j.bbrc.2011.04.049. [DOI] [PubMed] [Google Scholar]