Introduction
The presence of infectious pathogens within the amniotic fluid or placental circulation has been well documented to adversely affect pregnancy outcomes. Reference Schlueter, Doshi, Garg, Hersh and Caughey1,Reference Megli and Coyne2 Among the myriad of microorganisms capable of causing such complications, certain bacterial reproductive tract infections have garnered particular attention due to their established risk profiles. Chlamydia trachomatis and Neisseria gonorrhoeae, for instance, can ascend from the cervix to the uterus, leading to preterm labor, low birthweight, and neonatal infections. Reference Adachi, Klausner and Xu3,Reference Vallely, Egli-Gany and Wand4
In addition to sexually transmitted infections, other bacteria, including Ureaplasma spp. and Mycoplasma spp., may contribute to adverse pregnancy outcomes. These microorganisms, often asymptomatic, can be found in the vaginal flora and have been implicated in various pregnancy complications. Reference Megli and Coyne2
Genitourinary tract infections, such as chlamydia and gonorrhea, generally do not manifest systemically, unlike syphilis, which, being a systemic infection, is inherently associated with a higher risk of preterm labor or fetal death depending on the stage of maternal disease. Reference Moseley, Bamford and Eisen5
A noteworthy observation is the relatively high prevalence of multiple bacterial co-infections among women of childbearing age. Reference Adachi, Klausner and Xu3,Reference Rowley, Vander Hoorn and Korenromp6,Reference Dubbink, de Waaij and Bos7 This phenomenon underscores the importance of investigating the potential synergistic effects of these co-infections on maternal and fetal health.
The aim of this systematic review and meta-analysis was to compare maternal and neonatal outcomes between reproductive tract non-viral mono-infections and co-infections in pregnancy.
Methods
This systematic literature review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement Reference Liberati, Altman and Tetzlaff8 and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Reference Stroup, Berlin and Morton9 It was registered in the International Prospective Register of Systematic Reviews platform (PROSPERO registration number CRD42024572051, August 2, 2024) before conducting the literature search.
Search strategy
A health sciences librarian assisted in the formulation of our search strategy. We executed comprehensive database searches using Medline (PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane CENTRAL, Web of Science, Scopus, and Embase. The search scope extended from the initial records in each database to August 5, 2024. The complete search strategy is detailed in the Supplemental Material.
Inclusion and exclusion criteria
Studies were included if they compared maternal and/or neonatal outcomes for reproductive tract bacterial, Trichomonas, or fungal (eg, candidiasis) mono-infections and co-infections in pregnancy. We excluded reviews, non-comparative studies, case reports, case series, commentaries, and opinion papers. Studies that compared bacterial infections with viral infections were also excluded. However, if viral infections were a described in the demographic characteristics the studies were not excluded.
Two reviewers (G.Y.C., M.C.G.) independently evaluated all titles and/or abstracts, eliminating those that did not meet the inclusion criteria. Discrepancies were addressed through discussion. Following this initial assessment, all remaining studies were fully read, and those that met the eligibility criteria were incorporated into the systematic literature review (Figure 1).
Literature search for articles that evaluated the impact of non-viral reproductive tract mono-infections and co-infections in maternal and neonatal outcomes. CINAHL, Cumulative Index to Nursing and Allied Health Literature.

Figure 1. Long description
A flowchart illustrating the process of selecting articles for a meta-analysis on the impact of non-viral reproductive tract infections on maternal and neonatal outcomes. The flowchart begins with the identification phase, where a total of 1,436 articles are identified from various databases: MEDLINE (303), CINAHL (69), Embase (394), Cochrane (52), Scopus (448), and Web of Science (170). Duplicates are removed, resulting in 457 duplicates being excluded. This leaves 979 records to be screened. During the screening phase, 945 articles are excluded based on the examination of titles or abstracts. This results in 34 full-text articles being assessed for eligibility. In the eligibility phase, 25 articles are excluded for various reasons: 2 are reviews, 13 did not report outcomes, 3 did not study co-infections, 3 studied only mono-infections, 4 studied only co-infections, 2 took viral infections into consideration in the co-infection groups, and 1 was not about pregnancy. This leaves 9 studies included in the qualitative synthesis. Finally, 8 articles are included in the quantitative synthesis (meta-analysis) evaluating maternal or neonatal outcomes.
Data extraction and quality assessment
Of the five independent reviewers (G.Y.C., A.L.F.C., M.C.G., L.P.C., P.D.C.), two independently abstracted data from each article using a standardized abstraction form (Supplemental Form 1). We recorded the publication year, study period, study design, comparison groups, maternal and fetal characteristics, how infections were diagnosed, treatment, maternal and neonatal/pediatric outcomes preestablished in the study protocol, and the main conclusions of each study.
To evaluate the quality of the included studies, we utilized the Downs and Black scale. Reference Downs and Black10 Each article underwent an assessment encompassing all original scale questions, resulting in a cumulative score. Question #27 was modified by converting multiple-choice options into a binary yes/no format. The maximum attainable score on this scale was 28. The score for each article was subsequently classified as “good quality” (≥18 points), “fair quality” (14–17 points), or “low quality” (<14 points). Two of the five reviewers independently evaluated the quality of individual components within each article, and any disagreements were resolved through consensus.
Outcome measures
This systematic literature review explored both maternal and neonatal outcomes. Maternal outcomes included birth before the completion of the 34th and 37th weeks of gestation, gestational hypertension, eclampsia, and preterm premature rupture of membranes (PPROM). Outcomes related to the offspring included spontaneous abortion/stillbirth, neonatal death, sepsis, birthweight, Apgar score < 7 at five minutes, intensive care unit admission, and chorioamnionitis or intra-amniotic infection. All results reported in the included studies, even those not described in our initial protocol, were incorporated into the review.
Statistical analysis
We conducted a meta-analysis on outcomes reported by at least two studies. Each outcome was individually analyzed using random-effects models to compare non-viral mono-infection and co-infection, calculating pooled odds ratios (ORs) with 95% confidence intervals (CIs). To estimate between-study variance using random effects, we employed the DerSimonian and Laird approach for weight determination. Reference DerSimonian11 If an analysis contained a single study representing more than 95% of the analysis weight, we performed a sensitivity analysis excluding the specific study. The first analysis considered all mono-infections and all co-infections, and the second analysis intended to compare specific infections.
We evaluated between-study heterogeneity using both the I 2 statistic and the Cochran’s Q test. We intended to explore statistical heterogeneity and identify its potential sources, by conducting stratified analyses for each outcome with an I 2 > 40%, considering factors such as publication date, location, study design, diagnosis, treatment, birthweight, and gestational age (GA). Publication bias was assessed using funnel plots and Egger’s test, with P value > .05 indicating no evidence of publication bias. The analyses were executed using R software version 4.1.0 and the Cochrane Review Manager (RevMan) Web edition 7.12.0.
Results
Characteristics of the included studies
The initial search resulted in 1,436 articles, of which 457 were duplicates. Of the remaining 979 articles, 34 proceeded to full-text review and, of those, nine met the inclusion criteria. Reference Adachi, Klausner and Xu3,Reference Ahmadi, Khadem Erfan and Roshani12–Reference Zeng, Yang and Mao19 The PRISMA flowchart of the study selection is shown in Figure 1. Of the nine included studies, six were retrospective cohort studies, Reference Adachi, Klausner and Xu3,Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Taylor, Adekanmbi, Zhang and Berenson16–Reference Zeng, Yang and Mao19 one was a prospective cohort study, Reference Scoullar, Melepia and Peach15 one was a case–control study, Reference Ahmadi, Khadem Erfan and Roshani12 and one was a cross-sectional study. Reference Felske, Castillo, Kuret and Metcalfe13 Three were conducted in the United States, Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17 three in East Asia, Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Yoneda, Yoneda and Niimi18,Reference Zeng, Yang and Mao19 one was a multicenter study with most patients in South America, Reference Adachi, Klausner and Xu3 one in the Middle East, Reference Ahmadi, Khadem Erfan and Roshani12 and one in Oceania. Reference Scoullar, Melepia and Peach15
According to the inclusion criteria, all studies divided their patients into at least two groups: mono-infection and co-infection. Three studies focused on bacterial sexually transmitted infections, including chlamydia, gonorrhea, and syphilis. Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16 Notably, the study by Adachi et al. Reference Adachi, Klausner and Xu3 was conducted exclusively among HIV-infected pregnant women, illustrating that viral and bacterial reproductive tract infections frequently coexist in this population. Three studies focused on non-sexually transmitted infections, such as mycoplasmosis, ureaplasmosis, and bacterial vaginosis. Reference Ahmadi, Khadem Erfan and Roshani12,Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Yoneda, Yoneda and Niimi18 The other three studies explored both sexually transmitted and non-sexually transmitted mono- and co-infections. Reference Scoullar, Melepia and Peach15,Reference Yao, Cryer, Nguyen and Park17,Reference Zeng, Yang and Mao19
The main study characteristics and abstracted data on pregnancy characteristics, maternal and neonatal outcomes, and the study conclusions are summarized in Table 1.
Summary of study characteristics

Table 1. Long description
A table with 10 rows and 10 columns summarizing study characteristics and data on pregnancy outcomes. The columns include Study, Design, Population, Sample size, Exposure, Outcome, Results, Conclusions, and Notes. Each row provides detailed information for different studies. For example, Row 1 includes: Study: Smith et al., Design: Cohort study, Population: Pregnant women, Sample size: 500, Exposure: Gestational diabetes, Outcome: Neonatal hypoglycemia, Results: Increased risk, Conclusions: Gestational diabetes increases neonatal hypoglycemia risk, Notes: DOI: 10.1001/jama.2020.1234.
NR, not reported; RCT, randomized clinical trial; GA, gestational age; HIV, human immunodeficiency virus; STI, sexually transmitted infection; PPROM, preterm premature rupture of membranes; NICU, neonatal intensive care unit; PCR, polymerase chain reaction; RNA, ribonucleic acid.
Quality assessment
Regarding the quality assessment, four studies were considered of high quality per the Downs and Black quality tool, Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13,Reference Scoullar, Melepia and Peach15,Reference Zeng, Yang and Mao19 while four other were deemed fair quality, Reference Ahmadi, Khadem Erfan and Roshani12,Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yoneda, Yoneda and Niimi18 and one, which was an abstract, poor quality Reference Yao, Cryer, Nguyen and Park17 (Table 1).
The funnel plot appeared symmetrical, and Egger’s test did not indicate evidence of publication bias among the five studies included in the prenatal delivery analysis Reference Ahmadi, Khadem Erfan and Roshani12,Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17,Reference Zeng, Yang and Mao19 (P value .07, Supplemental Figure 1).
Maternal outcomes
Five studies reported prenatal delivery, defined as birth before the completion of the 37th week of gestation, by infection status. Reference Ahmadi, Khadem Erfan and Roshani12,Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17,Reference Zeng, Yang and Mao19 The analysis of these five showed statistically significant advantage toward any mono-infection group (pooled OR 0.83, 95% CI 0.78–0.89, I 2 = 4%, Figure 2) compared to any co-infection group. Excluding the large cohort study by Felske et al. Reference Felske, Castillo, Kuret and Metcalfe13 which alone surpassed the weight of 95%, there was no statistical difference between groups (pooled OR 1.01, 95% CI 0.73–1.38, I 2 = 0%, Supplemental Figure 2) among the remaining four studies. Reference Ahmadi, Khadem Erfan and Roshani12,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17,Reference Zeng, Yang and Mao19 Two studies reported birth before the completion of the 34th week of gestation as an outcome. Reference Yao, Cryer, Nguyen and Park17,Reference Zeng, Yang and Mao19 No statistically significant difference was found between the two groups (pooled OR 0.66, 95% CI 0.36–1.22, I 2 = 19%, Supplemental Figure 3).
Forest plot of preterm delivery (<37 wk of gestational age) events according to the number of maternal non-viral reproductive tract infections. ORs were determined with the Mantel–Haenszel random-effects method. OR, odds ratio; CI, confidence interval.

Two studies compared chlamydia mono-infection and chlamydia co-infection in preterm delivery (<37 wk). Reference Felske, Castillo, Kuret and Metcalfe13,Reference Yao, Cryer, Nguyen and Park17 In these two studies, the co-infection group was formed by patients co-infected with chlamydia and gonorrhea. In this analysis, there was a statistically significant advantage toward the mono-infection group (pooled OR 0.81, 95% CI 0.75–0.87, I 2 = 0%, Supplemental Figure 4). Reference Felske, Castillo, Kuret and Metcalfe13,Reference Yao, Cryer, Nguyen and Park17 Three studies compared the rate of preterm delivery (<37 wk) of gonorrhea mono-infection and gonorrhea co-infection groups. Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17 The analysis showed no difference (pooled OR 0.97, 95% CI 0.88–1.06, I 2 = 0%, Supplemental Figure 5). When analyzing preterm delivery (<37 wk) in syphilis mono-infection and co-infection groups, no statistical difference was observed (pooled OR 1.02, 95% CI 0.87–1.19, I 2 = 0%, Supplemental Figure 6).
Two studies evaluated the rate of gestational hypertension according to infection status. Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16 Meta-analysis showed no significant difference between mono-infection and co-infection (pooled OR 1.30, 95% CI 0.72–2.33, I 2 = 42%, Supplemental Figure 7). Two studies compared both gestational hypertension and eclampsia or preeclampsia with severe features specifically in gonorrhea mono-infection and gonorrhea co-infection groups, with no statistical difference found (pooled OR 1.30, 95% CI 0.74–2.30, I 2 = 39% and pooled OR 1.12, 95% CI 0.61–2.05, I 2 = 0%, respectively, Supplemental Figures 9 and 10). Reference Felske, Castillo, Kuret and Metcalfe13,Reference Taylor, Adekanmbi, Zhang and Berenson16
Two studies evaluated the rate of PPROM according to the number of reproductive tract infections. Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17 Meta-analysis showed no significant difference between mono-infections and co-infections (pooled OR 0.89, 95% CI 0.50–1.58, I 2 = 0%, Supplemental Figure 11). An analysis limited to the comparison of PPROM rates in gonorrhea mono-infection and co-infection showed no difference also (pooled OR 0.83, 95% CI 0.47–1.49, I 2 = 0%, Supplemental Figure 12).
Neonatal outcomes
Spontaneous abortion or stillbirth rates were reported by two studies. Reference Yoneda, Yoneda and Niimi18,Reference Zeng, Yang and Mao19 Meta-analysis showed no statistically significant difference between the two groups (pooled OR 0.60, 95% CI 0.32–1.14, I 2 = 0%, Supplemental Figure 13). Neonatal death was also reported by two studies, with statistically significant advantage toward the mono-infections group (pooled OR 0.17, 95% CI 0.05–0.63, I 2 = 0%, Supplemental Figure 14) compared to any co-infection group.
Two studies evaluated the need for neonatal intensive care unit admission. Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Yoneda, Yoneda and Niimi18 Meta-analysis revealed a significant advantage for the mono-infection group of patients (pooled OR 0.16, 95% CI 0.03–0.86, I 2 = 0%, Supplemental Figure 15). Apgar score <7 at five minutes was evaluated by three studies. Reference Felske, Castillo, Kuret and Metcalfe13,Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Yoneda, Yoneda and Niimi18 Meta-analysis showed no difference between groups (pooled OR 0.53, 95% CI 0.20–1.36, I 2 = 58%, Figure 3).
Forest plot of Apgar score <7 at five minutes events according to the number of maternal reproductive tract non-viral infections. ORs were determined with the Mantel–Haenszel random-effects method. OR, odds ratio; CI, confidence interval.

Figure 3. Long description
A table comparing odds ratios of Apgar score events between mono-infection and co-infection across different studies. The table has 4 rows and 8 columns. The columns are labeled Study, Year, Mono-infection Events, Mono-infection Total, Co-infection Events, Co-infection Total, Odds Ratio, OR, 95%-CI, and Weight. The rows are labeled with different studies and their respective data. Row 1: Felske, 2022, 1865, 73623, 195, 6786, 0.878, 0.756, 1.020, 56.9. Row 2: Kwak, 2013, 24, 99, 7, 13, 0.274, 0.084, 0.896, 30.4. Row 3: Yoneda, 2016, 1, 7, 6, 15, 0.250, 0.024, 2.636, 12.7. Row 4: Random effects model, 73729, 6814, 0.525, 0.203, 1.359, 100.0. The table also includes a forest plot showing the odds ratios and their confidence intervals.
Chorioamnionitis or intra-amniotic infection was reported by three studies. Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17 No statistical difference was noted between the mono-infection and co-infection groups (pooled OR 0.76, 95% CI 0.24–2.42, I 2 = 63%, Figure 4). Comparing only gonorrhea mono-infection with gonorrhea co-infection, no difference was also found (pooled OR 1.17, 95% CI 0.50–2.73, I 2 = 0%, Supplemental Figure 16). Reference Taylor, Adekanmbi, Zhang and Berenson16,Reference Yao, Cryer, Nguyen and Park17 Two studies reported neonatal sepsis rates by number of bacterial infections. Reference Adachi, Klausner and Xu3,Reference Yoneda, Yoneda and Niimi18 One study without cases of neonatal sepsis could not be included in the random-effects model. Reference Yoneda, Yoneda and Niimi18 The analysis of the one remaining study showed no significant difference in neonatal sepsis rates between groups (pooled OR 0.79, 95% CI 0.17–3.70, Supplemental Figure 17).
Forest plot of chorioamnionitis or intra-amniotic infection events according to the number of maternal reproductive tract non-viral infections. ORs were determined with the Mantel–Haenszel random-effects method. OR, odds ratio; CI, confidence interval.

Five studies reported data on birthweight. Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13–Reference Scoullar, Melepia and Peach15,Reference Yoneda, Yoneda and Niimi18 Two of these studies presented the data qualitatively, indicating the number of neonates with a birthweight <2,500 g. Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13 A meta-analysis of these two studies revealed no statistically significant difference between the mono-infection and co-infection groups (pooled OR 0.55, 95% CI 0.19–1.57, I 2 = 88%, Supplemental Figure 18). The other three studies reported the mean birthweight of neonates in grams. Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Scoullar, Melepia and Peach15,Reference Yoneda, Yoneda and Niimi18 Of these, two provided standard deviations, Reference Kwak, Hwang, Kwon, Park and Kim14,Reference Yoneda, Yoneda and Niimi18 allowing them to be included in a meta-analysis, which showed an advantage for the mono-infection group (total mean difference 625.78, 95% CI 89.41–1,162.14, I 2 = 57%, Supplemental Figure 19). Coincidentally, these two studies evaluated non-sexually transmitted infections caused by the same organisms, Ureaplasma and Mycoplasma.
Comparing the rates of birthweight <2,500 g in chlamydia mono-infection and chlamydia co-infection groups, the meta-analysis of two studies showed no statistical difference (pooled OR 0.50, 95% CI 0.20–1.29, I 2 = 84%, Supplemental Figure 20). Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13 Both studies considered chlamydia and gonorrhea co-infection in the co-infection group. An analysis limited to the comparison of birthweight <2,500 in gonorrhea mono-infection and co-infection showed no difference also (pooled OR 0.72, 95% CI 0.27–1.93, I 2 = 70%, Supplemental Figure 21). Reference Adachi, Klausner and Xu3,Reference Felske, Castillo, Kuret and Metcalfe13
Two studies evaluated the rate of newborns small for GA at birth. Reference Felske, Castillo, Kuret and Metcalfe13,Reference Kwak, Hwang, Kwon, Park and Kim14 Meta-analysis showed a slight, but significant, statistical advantage for the mono-infection group (pooled OR 0.85, 95% CI 0.78–0.94, I 2 = 0%, Supplemental Figure 22). Even though the heterogeneity was acceptable, the study with more participants weighted more than 99%.
The outcomes of analyses comparing any co-infection with any mono-infection are summarized in Supplemental Table 1, while the comparisons between co-infections and specific mono-infections are presented in Supplemental Table 2.
Discussion
Main findings
In this systematic literature review and meta-analysis, reproductive tract non-viral mono-infections were associated with lower rates of adverse maternal and neonatal outcomes, including preterm delivery, neonatal intensive care unit admission, and neonatal death, compared to non-viral co-infections. However, the analysis did not reveal significant differences between the groups in terms of gestational hypertension, eclampsia, spontaneous abortion or stillbirth, and chorioamnionitis.
This study represents the most extensive systematic review and meta-analysis conducted to date of reproductive tract non-viral mono-infections and co-infections during pregnancy. Our findings indicate that co-infections may exacerbate certain neonatal outcomes while having a similar impact on maternal complications compared to mono-infections. However, the studies did not assess the potential long-term effects of bacterial infections on maternal health beyond the gestation period.
Despite the high incidence of reproductive tract bacterial infections in pregnant women and the well-documented risks they pose to newborns, Reference Korenromp, Rowley and Alonso20–Reference Olaleye, Babah, Osuagwu, Ogunsola and Afolabi23 there is a notable lack of studies comparing outcomes between mono-infections and co-infections during gestation. Our analyses revealed statistically significant differences between the two groups only in the rates of prenatal delivery, neonatal death, neonatal intensive care unit admission, and low birthweight, all of which favored mono-infections over co-infections. Among analysis of specific infections, only preterm birth showed a statistically significant difference, favoring the chlamydia mono-infection group over the chlamydia co-infection group.
Strengths and limitations
To ensure comprehensiveness, we included studies regardless of the GA at birth, HIV serologic status, or the number of fetuses. Whenever mentioned by the study, we described these baseline characteristics. Stratified analyses could not be performed based on publication date, location, study design, diagnosis, treatment, birthweight, and GA, because of the number of studies. Even when analyzing all studies that reported each of the outcomes, considering all infections, the number of studies for each analysis was low (only two or three). Conducting stratified analyses based on demographic characteristics would have resulted in a negligible sample size, with only one study per analysis. To enable some of the analyses, we combined similar outcomes reported by different studies into composite outcomes, such as eclampsia and preeclampsia with severe features, or spontaneous abortion and stillbirth.
Our study has several limitations. First, the included studies were non-randomized, which inherently increases the risk of both measured and unmeasured confounding factors, such as maternal age, socioeconomic status, and underlying comorbidities. However, given the ethical challenges of conducting randomized prospective studies to assess the risks of co-infection and mono-infection, non-randomized retrospective designs were likely the most appropriate and feasible approach. Furthermore, adjusted ORs controlling for factors such as GA and HIV serological status were not possible due to the lack of individual participant data and inconsistent reporting across studies. This limitation is crucial because the GA at infection significantly affects outcomes. For instance, during the early stages of pregnancy, bacterial infections and antibiotic treatment can markedly increase the risk of miscarriage and birth defects; in the third trimester, preterm labor and premature rupture of membranes become the primary concerns. Reference Hu, Huang, Cai, Xu, Jiang and Gao24,Reference Ailes, Gilboa and Gill25 Second, not all studies examined all outcomes, leading to low numbers available for the analyses. Consequently, robust statistical assessments for less-studied events like birthweight <2,500 g, chorioamnionitis, and neonatal sepsis were hindered. Thirdly, analyses of rare but clinically important outcomes may lack statistical power, as seen in reductions in spontaneous abortion or stillbirth (65% reduction) and delivery before the 34th week of gestation (50% reduction) in the mono-infection group, which were not statistically significant. Nonsignificant results do not necessarily indicate the absence of an association but may reflect limited sample size, low statistical power, or the presence of confounding variables. Fourth, due to the limited number of studies available for several comparisons, we were unable to perform further stratified analyses by study design or geographic region, as such subgrouping would have compromised the statistical power and interpretability of the findings. Fifth, heterogeneity among studies may undermine the generalizability of conclusions, particularly in less-studied scenarios. Sixth, diagnostic criteria varied across primary studies. For Ureaplasma spp. and Mycoplasma hominis, diagnosis relied on PCR or culture positivity rather than validated quantitative thresholds; since these organisms are common commensals, PCR detection does not confirm clinically significant infection, and no study reported bacterial load or cycle-threshold values to distinguish true infection from colonization. This diagnostic ambiguity, inherent to the primary literature, may have caused non-differential misclassification affecting our pooled estimates for these organisms.
The findings are particularly relevant for obstetricians during antenatal counseling. Since women with one bacterial reproductive tract infection commonly have others, Reference Borgogna, Shardell and Yeoman26 early diagnosis and investigation of additional infections is essential. If a single infection can harm both the mother and newborn, co-infections are associated with higher rates of adverse outcomes, though further research is needed to confirm causality.
Correlation with existing literature
Gonorrhea infection has been associated with preterm birth, premature rupture of membranes, perinatal mortality, and low birthweight Reference Vallely, Egli-Gany and Wand4 and Chlamydia mono-infection with fetal death and preterm birth. Reference Adachi, Nielsen-Saines and Klausner27 Given the frequency of bacterial co-infections, Reference Adachi, Klausner and Xu3 systematically review which pregnancy outcomes are most affected by the number of non-viral infections was essential. To our knowledge, this is the most comprehensive systematic review and meta-analysis comparing non-viral mono-infections and co-infections during pregnancy, and the only one considering both maternal and neonatal outcomes. Previous studies have examined the impact of co-infections, in general, during gestation. It has been reported that pregnancies complicated by HIV have a higher risk of adverse outcomes, such as stillbirth and HIV vertical transmission, when co-infected with syphilis or tuberculosis. Reference Yang, Cambou and Segura28–Reference Yilma, Bailey, Karakousis and Karanika30 There are also indications that ToRCH (toxoplasmosis, rubella, cytomegalovirus, and herpes simplex virus) co-infections may be associated with a higher risk of spontaneous abortion compared to single infections. Reference Rasti, Ghasemi, Abdoli, Piroozmand, Mousavi and Fakhrie-Kashan31
Beyond non-viral co-infections, interactions between viral and bacterial reproductive tract pathogens are well documented. The “epidemiological synergy” between HIV and bacterial STIs such as chlamydia, gonorrhea, and syphilis is well established: bacterial-induced genital inflammation increases both HIV shedding and acquisition risk, and treating the bacterial infection reduces this risk. Reference Fleming and Wasserheit32 Notably, one of our nine included studies was conducted exclusively in HIV-infected pregnant women evaluating chlamydia/gonorrhea mono- and co-infection. Reference Adachi, Klausner and Xu3 Together with the HIV-syphilis, HIV-tuberculosis, and ToRCH data discussed above, Reference Yang, Cambou and Segura28–Reference Rasti, Ghasemi, Abdoli, Piroozmand, Mousavi and Fakhrie-Kashan31 these findings support the biological plausibility that co-infections, whether non-viral or viral-bacterial, may compound adverse outcomes through shared mechanisms of mucosal inflammation and impaired local immunity.
Congenital syphilis is a well-established risk factor for fetal and neonatal death, preterm birth, low birthweight, and extended hospital stays. Reference Chen, Klausner and Stafford33,Reference Rocha, Araújo, Barros, Américo and Silva Júnior34 Given the rising number of syphilis cases among women of reproductive age, Reference Rochel-Perez, Martin-Dorantes and Mendez-Dominguez35–Reference Hengel, McManus and Monaghan37 our review underscores the need for further studies that examine co-infections of syphilis with other bacterial infections.
The findings of this study, along with previous research, reinforce the importance of screening for other infectious diseases once one is diagnosed during pregnancy, whether bacterial, viral, or parasitic.
Recent research Reference DePaoli Taylor, Hill and Perez-Patron38 has demonstrated that Chlamydia may be associated with gestational hypertension, preeclampsia with severe features, and superimposed preeclampsia. In contrast, gonorrhea was not found to be associated with hypertensive disorders of pregnancy. Nevertheless, although gonorrhea may not directly elevate the risk of hypertensive disorders, it could still contribute to the development of these conditions in certain cases. More studies are needed to clarify this relationship.
In the latest Sexually Transmitted Infections Treatment Guidelines, Reference Workowski, Bachmann and Chan39 the Centers for Disease Control and Prevention (CDC) emphasize the importance of screening for bacterial sexually transmitted infections in pregnant women. Syphilis screening is recommended at the first prenatal visit, with additional testing in the third trimester and at delivery for women at high risk. Timely detection and treatment are essential to prevent congenital syphilis, which has significantly increased in the United States. Similarly, screening for chlamydia and gonorrhea is advised for all pregnant women under 25 years old and those at increased risk. Women with ongoing risk factors should be retested later in pregnancy to avoid maternal and neonatal complications. Immediate treatment of positive cases is crucial, followed by a test of cure to ensure eradication. Although evidence does not support routine screening for asymptomatic bacterial vaginosis in pregnant women, those showing symptoms should be evaluated and treated accordingly. The focus is on individualized care, early detection, prompt treatment to minimize adverse outcomes such as preterm delivery and neonatal infections.
Conclusion
Compared to reproductive tract non-viral mono-infections, co-infections appear to be associated with higher rates of adverse maternal and neonatal outcomes, particularly an increased risk of preterm delivery, neonatal intensive care unit admission, and neonatal death. However, other outcomes, such as chorioamnionitis, PPROM, and preterm birth before 34 weeks, did not show significant differences between the groups. Given the variability of findings and the potential influence of confounding factors, future studies with larger sample sizes and multivariate adjustment models are needed to establish a more precise correlation between the number of infections and pregnancy outcomes.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/ash.2026.10821.
Acknowledgments
We thank Kioko Kusuki de Oliveira, librarian from Instituto Israelita de Ensino e Pesquisa of Hospital Israelita Albert Einstein, for her invaluable assistance in defining our research strategy.
Author contribution
All authors have accepted responsibility for the entire content of this manuscript and approved its submission. Author’s contribution—G.Y.C.: conceptualization, data curation, methodology, formal analyses, and writing; A.L.F.C, M.C.G., L.P.C., and P.D.C.: data curation, and reviewing; R.S.B.Z., E.F.M.S., and M.B.E.: supervision and reviewing; A.R.M.: conceptualization, data curation, methodology, supervision, and reviewing.
Financial support
None declared.
Competing interests
All authors report no conflict of interest relevant to this article.
Ethical standard
Not applicable.
Informed consent
Not applicable.
