Skip to main content

ORIGINAL RESEARCH article

Front. Med., 08 December 2022
Sec. Obstetrics and Gynecology

Pregnancy outcomes in a malaria-exposed Malian cohort of women of child-bearing age

\r\nSantara GaoussouSantara Gaoussou1Oumar AttaherOumar Attaher1Bruce SwihartBruce Swihart2Moussa TraoreMoussa Traore1Soumaila DiarraSoumaila Diarra1Ibrahim H. SoumbounouIbrahim H. Soumbounou1Oulematou NdiayeOulematou Ndiaye1Djibrilla IssiakaDjibrilla Issiaka1Robert MorrisonRobert Morrison3Almahamoudou MahamarAlmahamoudou Mahamar1Patrick E. DuffyPatrick E. Duffy3Alassane DickoAlassane Dicko1Michal Fried*Michal Fried3*
  • 1Malaria Research and Training Center, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
  • 2Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
  • 3Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States

In Sub-Saharan Africa, malaria continues to be associated with adverse pregnancy outcomes including stillbirth, early neonatal death, preterm delivery, and low birth weight. Current preventive measures are insufficient and new interventions are urgently needed. However, before such interventions can be tested in pregnant women, background information on pregnancy outcomes in this target population must be collected. We conducted an observational study in Ouélessébougou, Mali, a malaria-endemic area where first antenatal visit commonly occurs during the second trimester of pregnancy, hindering calculation of miscarriage rate in the population. To accurately determine the rate of miscarriage, 799 non-pregnant women of child-bearing age were enrolled and surveyed via monthly follow up visits that included pregnancy tests. Out of 505 women that completed the study, 364 became pregnant and 358 pregnancies were analyzed: 43 (12%) resulted in miscarriage, 28 (65.1%) occurred during the first trimester of pregnancy. We also determined rates of stillbirth, neonatal death, preterm delivery, and small for gestational age. The results showed high rate of miscarriage during the first trimester and established a basis to evaluate new interventions to prevent pregnancy malaria. This survey design enabled identification of first trimester miscarriages that are often missed by studies conducted in antenatal clinics.

Clinical trial registration: [https://clinicaltrials.gov/], identifier [NCT0297 4608].

Introduction

In Sub-Saharan Africa, malaria continues to be the primary cause of morbidity and mortality in young children and pregnant women. Adults develop immune responses that protect them from severe disease, but women become more susceptible to malaria during pregnancy, especially first pregnancy, that can result in adverse outcomes to the mother, the fetus/newborn or both (1). Adverse pregnancy outcomes related to pregnancy malaria include severe maternal anemia, preterm delivery (PTD), small for gestational age (SGA), low birthweight (LBW), stillbirth, and early neonatal death (25). These adverse outcomes are observed in both low and high malaria transmission areas (2, 3, 5).

To reduce malaria infection during pregnancy, WHO recommends that pregnant women receive preventive treatment with anti-malarial drug sulfadoxine-pyrimethamine (SP), termed intermittent preventive treatment during pregnancy (IPTp) at each scheduled antenatal care visit and at least 1 month apart starting from the second trimester. Although IPTp-SP has been recommended as part of standard care for pregnant women since 2000, WHO reported in 2021 that only 57% of pregnant women in Sub-Saharan Africa received at least 1 dose of IPTp-SP, and only 32% received 3 IPTp doses (4). Owing to safety concerns, IPTp-SP is contraindicated during the 1st trimester of pregnancy. In addition, the spread of SP-resistant parasites has been associated with worse pregnancy outcomes (6).

In this context, a vaccine to protect women from pregnancy malaria (PM) is urgently needed, and two types of vaccines are currently being investigated. The first vaccine type is based on naturally acquired immunity to PM. PM is caused by P. falciparum-infected erythrocytes that bind to the placental receptor chondroitin sulfate A (CSA) (7). Women become resistant to pregnancy malaria over successive pregnancies, as they acquire antibodies that target surface proteins of placental parasites and block parasite adhesion to CSA (8). This vaccine is based on a major infected erythrocyte surface protein (VAR2CSA) expressed by placental parasites and mediating their adhesion to CSA (8, 9). Two VAR2CSA-based products have been evaluated for safety in phase I clinical trials (10, 11). This vaccine can be administered to adolescent females prior to becoming pregnant. However, at this early stage of development, it is unknown whether a booster dose during pregnancy will be required.

The second vaccine type prevents human infection and is represented by PfSPZ Vaccine (Sanaria, Inc.), a whole organism vaccine product comprised of radiation-attenuated sporozoites (12). This vaccine is not specific for PM and is intended to prevent infection. In studies conducted in malaria-naïve individuals, this vaccine provided sterile immunity from challenge with a homologous and a heterologous strain of P. falciparum (12, 13). In a study conducted in Mali, 26% of adult vaccinees were protected from natural infection with heterologous strains during the following 6 months (14). Safety has been demonstrated in non-pregnant women aged 18–50 years (14) but no trials of PfSPZ Vaccine have enrolled pregnant women.

Until the recent FDA approval of Tdap vaccine for maternal immunization, no vaccine had ever been licensed for use in pregnant women. Further, the safety and efficacy of promising candidates against pregnancy malaria must be tested in this population. Because malaria infection itself is associated with poor pregnancy outcomes, background information on pregnancy outcomes in the target population is needed before initiating trials in pregnant women. Baseline rates of poor pregnancy outcomes will inform the interpretation of adverse outcomes during clinical trials, including their potential relationships to the intervention versus malaria infection or other risk factors.

To collect this background information, we established two cohorts of women residing in Ouélessébougou, Mali. In the first cohort that was previously reported, pregnant women enrolled during routine antenatal clinic visits (15), with the majority of women (70%) enrolled during their 2nd trimester of pregnancy. The most common adverse outcomes in that cohort included PTD and perinatal death occurring in 4.7 and 4.1% of the pregnancies, respectively. PTD and neonatal death were more common among primigravidae compared to multigravidae (15).

In Mali, similar to other sites in Sub-Saharan Africa (16), a majority of pregnant women make their first antenatal clinic visit during the second trimester (17), limiting our ability to collect information on miscarriage rates. This complicates the collection of accurate miscarriage rate data, because most miscarriages occur in first trimester, often before pregnancy is clinically recognized (18). The primary goal of the current study is to determine the miscarriage rate in all trimesters among women living in an area with high seasonal malaria transmission. To achieve this goal, we enrolled women of child-bearing age prior to becoming pregnant, then monitored them monthly with hCG testing until pregnancy diagnosis, and thereafter followed them to determine pregnancy outcome. This approach enabled an accurate and complete assessment of the miscarriage rate in the target population.

Materials and methods

Human subjects and clinical procedures

Women from Ouélessébougou, Mali enrolled in the study between November-December 2018 and follow-up was completed in October 2021. Women of child-bearing age (≥15 years) who were not using contraception nor breastfeeding for less than 12 months were invited to enroll. Exclusion criteria included temporary residence in the study area and conditions that could impair the ability of the woman to understand the study. The study protocol was approved by the Institutional Review Board of the National Institute of Allergy and Infectious Diseases, National Institutes of Health (ClinicalTrials.gov ID NCT02974608), and by the Ethics Committee of the Faculty of Medicine, Pharmacy and Dentistry at the University of Bamako, Mali. Written informed consent was obtained from study participants after receiving a study explanation form and oral explanation from the study clinicians in their native language. All experiments were performed in accordance with relevant guidelines and regulations.

Monthly pregnancy tests were conducted at the participant’s home. While enrolled in the study, women continued to receive their clinical care including routine antenatal care at their preferred public or private health center. Common preventive treatments provided at health centers included iron and folic acid supplementation as well as IPTp-SP. Malaria infections diagnosed during antenatal visits were treated with antimalarial drugs according to Mali Ministry of Health guidelines. No clinical laboratory tests such as malaria blood smear or hemoglobin levels were collected by the study. After a woman tested positive for pregnancy, hCG testing was repeated monthly through mid-2nd trimester to capture miscarriages during the first half of gestation. Home visits continued until the end of pregnancy to confirm women were still pregnant. Gestational age was determined by a trained obstetrician using ultrasound examination, which was performed in the 1st or 2nd trimester of pregnancy in 85% of women. Pregnancy outcomes, medical history and antenatal care information were collected 4–8 weeks after the end of pregnancy on case report forms, including information extracted from antenatal cards, as previously described (15).

Pregnancy outcomes definitions

Miscarriage was defined as pregnancy ending before gestational week 28, stillbirth as a delivery of non-viable baby at a gestational age of ≥28 weeks (19), and neonatal death as death occurring in the first 4 weeks of life. Preterm delivery (PTD) was defined as birth before gestational age of 37 weeks. Small for gestational age (SGA) was defined as weight below the 10th percentile for gestational age according to INTERGROWTH-21 standards (20).

Statistical analysis

Data were collected on standardized forms and scanned into the data base using DataFax (version 5.1.0, Clinical DataFax Systems, Inc., Hamilton, ON, Canada). Chi-squared test and Fisher’s exact test were used to compare proportions, and Mann–Whitney U test to compare continuous variables, between groups. Miscarriage rate by gestational week was calculated using previously described Life Table Analysis (18, 21). To evaluate the relation between risks factors and pregnancy outcomes, five data sets were created; each one had viable-term newborn as censored and one of the following as the observed event: miscarriage, stillbirth, neonatal death, PTD, and SGA. For each dataset, univariate and multivariate proportional hazard models were fitted using the survival package in R. Factors associated with adverse pregnancy outcomes were added to the models, including: gravidity; age group; miscarriage in the preceding pregnancy; malaria infection; number of IPTp doses, number of antenatal clinic visits; gestational age at 1st antenatal clinic visit, and a composite variable named “at least 1 known risk factor” that incorporated history of miscarriage, stillbirth, complicated delivery, height <150 cm, weight <45 kg and preeclampsia in the current pregnancy. Categorical covariates with fewer than 2 occurrences were excluded from the univariate model; for example, none of the 9 women whose pregnancy resulted in stillbirth had a reported malaria infection, and this predictor was not included in the model. Covariates with a p-value <0.1 in the univariate model were included in the multivariate model. The inclusion of age as a continuous variable was decided a priori for age-adjustment of the multivariate model.

Results

Study population

In total, 799 women of child-bearing age were enrolled into the study. After enrollment, monthly pregnancy tests were performed by the study team during follow-up visits at the participant homes. Of the 505 (63.2%) women who completed the study, 364 (72.1%) became pregnant, of which 6 were excluded from analysis due to multiple gestation (Figure 1). Median time from enrollment to pregnancy detection was 23.5 weeks (interquartile range 11.1–39.2 weeks), with no differences observed based on gravidity or age. Gestational age at the time of pregnancy detection was calculated based on ultrasound examination performed as early in pregnancy as possible. Pregnancy was detected at mean gestational age of 6 6/7 weeks (SD 1 week 6 days, range 3–12 weeks) and median gestational age of 6 6/7 weeks (interquartile range 5 6/7 weeks to 8 weeks). Although pregnancy tests were performed monthly, one missed visit was allowed resulting in 18 pregnancies that were detected between gestational week 10–12. The median time interval between births was 37.6 months.

FIGURE 1
www.frontiersin.org

Figure 1. Flow chart of study population.

Among women who became pregnant, 11.1% were primigravidae, and 19.5% were less than 20 years old (Table 1). Women who did not become pregnant during the study included 11.3% nulligravidae, 9.2% primigravidae, 9.9% secundigravidae, 29.1% multigravidae (2–5 previous pregnancies) and 40.4% grand multigravidae (≥6 previous pregnancies). Primigravidae attended their first antenatal clinical visit at a significantly earlier gestational age than other women, and grand multigravidae attended their first antenatal clinic visit at a later stage than primigravid, secundigravid and multigravid women (Table 2). Mean number of antenatal clinic visits was similar between primigravid and secundigravid women, and more frequent in both compared to multigravidae and grand multigravidae (Table 2).

TABLE 1
www.frontiersin.org

Table 1. Study population (n = 358).

TABLE 2
www.frontiersin.org

Table 2. Antenatal clinic visits.

The majority of pregnant women [n = 305 (85.2%)] received at least one dose of IPTp-SP, and 29.2% of pregnant women received 3 or more IPTp-SP doses, similar to reports from other countries published by the World Health Organization (4). The median time interval between IPTp-SP doses was 6 weeks (interquartile range 4.9 to 8.9 weeks). Nearly all women reported using insecticide-treated bed net (ITN) and received tetanus toxoid vaccine (97.2%).

Clinical laboratory studies such as complete blood count or malaria test were performed on pregnant women at antenatal clinics when clinically indicated. 34 (9.5%) women had a documented malaria infection diagnosed by rapid diagnostic test or blood smear microscopy. Hemoglobin levels of <11 gr/dl were reported in 13 (3.6%) women with one case of severe anemia. Two women (0.6%) presented with pre-eclampsia. Other risk factors for adverse pregnancy outcomes included history of complicated delivery [n = 12 (3.5%)], previous miscarriage or stillbirth [n = 76 (21.2%)], height < 150 cm [n = 4 (1.1%)], and weight < 45 kg [n = 5 (1.4%)].

Pregnancy outcomes

The most common adverse pregnancy outcomes were small for gestational age (SGA), miscarriage and PTD (Table 3A). The majority of miscarriages (65.1%) occurred during the first trimester with highest weekly miscarriage rates of 32 and 27 miscarriages per 1,000 women-weeks observed at gestational weeks 8 and 10. From week 16, rates were below 10 miscarriages per 1,000 women-weeks (Figure 2 and Supplementary Table 1). The miscarriage rate was higher in women aged >35 years compared to women aged 20–35 years (Table 3C). PTD was more common among primigravidae versus multigravidae (Table 3B). SGA was more common among women aged <20 years (Table 3B). Percentages of stillbirth and neonatal death were similar between women of different gravidity or age groups (Table 3).

TABLE 3A
www.frontiersin.org

Table 3A. Adverse outcomes in the study population.

FIGURE 2
www.frontiersin.org

Figure 2. Miscarriage rate by gestational week.

TABLE 3B
www.frontiersin.org

Table 3B. Adverse outcomes in the study population stratified by gravidity.

TABLE 3C
www.frontiersin.org

Table 3C. Adverse outcomes in the study population by age.

Except for miscarriages, 94.3% deliveries occurred at a health facility setting (hospital or private clinic). Of the 43 miscarriages, 20 (46.5%) were admitted to the hospital. Miscarriages occurring at home were at earlier gestational age than those admitted to the hospital (median gestational age 10 3/7 weeks and 12 4/7 weeks, respectively) but the difference did not achieve statistical significance.

Factors associated with adverse pregnancy outcomes

To identify factors associated with adverse outcomes, each of the following outcomes was evaluated in comparison to term live birth: miscarriage, stillbirth, neonatal death, PTD and SGA. For each outcome, univariate and multivariate proportional hazards models were fitted (Tables 4, 5). In addition to evaluating individual factors, a composite of multiple factors defined as risk factors by the antenatal clinic was evaluated. The composite named “at least 1 known risk factor” includes history of miscarriage, stillbirth and complicated delivery, height < 150 cm, weight < 45 kg and preeclampsia in the current pregnancy.

TABLE 4
www.frontiersin.org

Table 4. Risks associated with fetal and neonatal death.

TABLE 5
www.frontiersin.org

Table 5. Risks associated with preterm delivery and small for gestational age.

Compared to women aged 20–35 years old, the risk of miscarriage was 2.7 times higher in women aged >35 years. History of miscarriage in the preceding pregnancy also increased the risk of miscarriage [Hazard Ratio (HR) 2.713 (95% CI: 1.091–6.745)]. In multivariate analysis, both age >35 years and miscarriage in the preceding pregnancy remained significant (Table 4).

Gravidity or age were not associated with increased risk of stillbirth. In univariate and multivariate analyses, the composite named “at least 1 known risk factor” was associated with increased HR of 3.5 and 4.1, respectively, while the number of IPTp-SP doses significantly reduced the risk for stillbirth (HR 0.3 and 0.2, respectively) (Table 4).

In univariate analysis, both the number of antenatal clinic visits and doses of IPTp-SP significantly reduced the risk of neonatal death. In multivariate analysis, the number of antenatal clinic visits and IPTp-SP doses were no longer significant, possibly due to high correlation between these covariates (r = 0.86, p = 0.02). Therefore, each of these factors was analyzed in separate multivariate models (models I and II). In multivariate models adjust for maternal age, number of antenatal clinic visits remained significant. Similarly, number of IPTp-SP doses remained significant after adjusting for maternal age (Table 4). The risk of PTD was 6.2-fold higher in primigravidae and 3.3-fold higher in women with reported malaria infection. In the multivariate model, both primigravidity and malaria infection during pregnancy increased the risk of PTD, but only gravidity achieved significance (Table 5). The risk of SGA was significantly higher in young women aged < 20 years (Table 5).

Discussion

Malaria infection during pregnancy is associated with adverse outcomes. For example, we recently reported that malaria infection at our study site in Mali increased the risk of stillbirth and PTD in primigravidae, and early neonatal death in secundigravid and multigravid women (5). While pregnant women have historically been excluded from interventional clinical trials due to safety concerns, the need to test promising interventions in pregnant women has been increasingly recognized in recent years (22, 23). The primary objective of this surveillance study in an area with high seasonal malaria transmission was to determine the miscarriage rate as a baseline for future interventional trials.

A few studies have measured miscarriage rates during early pregnancies identified via daily measurement of urine HCG levels before clinical pregnancy [defined as pregnancy detected with conventional pregnancy testing or clinical examination (24)]. Based on two studies, early pregnancy loss accounted for 22% and 24.6% of pregnancies, whereas 11.6% and 7.9% of clinical pregnancies resulted in miscarriage (24, 25). Here, we report the rate of miscarriage in clinical pregnancies, which is relevant as a baseline miscarriage rate in interventional trials that use standard tools like pregnancy tests and LMP, where very early pregnancy losses may be missed. Of 358 pregnancies identified in this study, 43 (12%) resulted in miscarriage, which is within the range previously reported in other regions such as the United States and Europe (26, 27).

Consistent with previous studies (18, 2830), the risk of miscarriage increased with age. In women aged >35 years, the instantaneous risk of miscarriage was 2.7 times higher compared to women aged 20–35 years. Risk of miscarriage has been reported to increase for women who miscarried in their previous pregnancy (2931). This study supports those findings, as risk of miscarriage increased 3.7-fold in women that miscarried in their most recent pregnancy.

Although the primary goal of the study was to describe miscarriage rate, we are reporting other adverse outcomes that we documented in this cohort as well. In this survey, 4.8% of pregnancies resulted in PTD, similar to the rate we observed in the first cohort of pregnant women who we enrolled during antenatal clinic visits (15). Both gravidity and malaria infection increased the risk of PTD. The risk of PTD was 4.2-fold higher among primigravidae compared to multigravidae, and 2.7-fold higher in women with a history of malaria infection during pregnancy. This is consistent with our previous report of a longitudinal cohort study of pregnant women conducted in the same area, in which malaria infection in primigravidae was associated with increased risk of PTD (5).

We also observed that 9 (2.5%) pregnancies resulted in stillbirth and 9 (2.5%) in neonatal death. The rate of stillbirth is similar to earlier studies, that reported a stillbirth rate of 22.8 (19.9–24.8) per 1,000 births in Sub-Saharan Africa (32). A meta-analysis to evaluate risk factors associated with stillbirth found that malaria infection during pregnancy and at delivery increased the odds of stillbirth (3). In our previous longitudinal cohort study, we reported that malaria infection increased the risk of stillbirth for primigravidae and of early neonatal death for secundigravidae and multigravidae, while IPTp-SP significantly reduced these risks during the 3 weeks following drug administration (5).

This study was designed to collect information on baseline miscarriage rate and was not designed to evaluate the impact of malaria infection on risk of miscarriage or other adverse outcomes. Because malaria infection is often asymptomatic among adults in areas of stable transmission, frequent active testing for malaria infection and a large sample size would be required to confirm such associations. To date, one large population study of 17,613 women conducted in an area of low malaria transmission at the border of Thailand and Myanmar reported that both asymptomatic and symptomatic infection in the first trimester increased the odds of miscarriage (33). Relating malaria infection to miscarriage was possible because the women in that study attended weekly antenatal clinic for routine malaria tests starting in the first trimester (33, 34). At the site of the current study, women commonly attend their first antenatal clinic visit during the 2nd trimester (17), and 42 of the 43 miscarriages reported here occurred prior to the subjects’ 1st antenatal visit.

We speculate that small sample size limited our power to statistically confirm the association of malaria infection and PTD (p = 0.06) in the multivariate analysis, in addition to our study design that did not incorporate active testing for malaria infection. However, the increased rate of PTD in women with malaria infection is consistent with our previous report of a longitudinal cohort study of pregnant women conducted in the same area (5), and studies conducted in other areas. In a large study conducted in a low malaria transmission zone at the border between Thailand and Mynamar, infection with P. falciparum at gestational weeks 28–32 increased the odds of very early PTD, and infections after week 32 increased the odds of late PTD (2). In a cross-sectional study conducted in the Gambia, an area with seasonal malaria transmission, placental malaria significantly increased the odds of PTD (35). PTD is one of the major risk factors for neonatal death (36), thus, malaria control is one of the tools needed to reduce PTD and associated mortality.

As we previously observed, IPTp-SP significantly reduced risks of all adverse outcomes during the 3 weeks after drug administration. In this study, pregnant women received antenatal care at public or private health care facilities that generally limited malaria testing to occasions when clinically indicated. However, a large proportion of infections are asymptomatic (5) resulting in a limited number of women with a reported malaria infection episode. IPTp-SP can clear undiagnosed asymptomatic infections and suppress parasitemia while drug levels persist, thus reducing adverse outcomes associated with malaria infection (37). These benefits of IPTp, however, have limitations: SP is contraindicated in the first trimester; compliance with IPTp is generally low and a majority of women receive only 1–2 doses during pregnancy; SP has lost efficacy in East and Southern Africa due to the spread of drug-resistant parasites, and in these areas IPTp has been related to poorer pregnancy outcomes (6). Therefore, new tools are needed to control pregnancy malaria, and an effective and safe vaccine would be a valuable addition to our armamentarium.

In summary, preconception enrollment of women of child-bearing age enabled the identification of 1st trimester miscarriages. Overall, 43 (12%) pregnancies resulted in miscarriage, and 78 (21.8%) resulted in either miscarriage, stillbirth, neonatal death or preterm delivery. The main risks factors for miscarriage were age >35 years and a history of miscarriage in the preceding pregnancy, consistent with published data from other regions. Similar to our previous report from a longitudinal cohort study of pregnant women, primigravidity and malaria infection increased the risk of PTD. This background information will be useful in future vaccine trials as a baseline rate of poor pregnancy outcomes including miscarriage in the target population.

Data availability statement

The original contributions presented in this study are included in this article/Supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by the National Institute of Allergy and Infectious Diseases at the US National Institutes of Health (ClinicalTrials.gov ID NCT02974608) and the Ethics Committee of the Faculty of Medicine, Pharmacy and Dentistry at the University of Bamako, Mali. The patients/participants provided their written informed consent to participate in this study.

Author contributions

MF, AD, and PD designed the study. MF with contributions of PD and AD wrote the main text. BS and RM performed the statistical analysis. SG, OA, MT, SD, IS, ON, DI, and AM collected the data. All authors read and approved the final manuscript.

Funding

This work was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health.

Acknowledgments

We thank the women in Ouelessebogou, Mali for participation in this study. We are grateful to Korotimi Dembele, Aminata Fane, and Wassa Doumbia for their help with this study, Rathy Mohan Alhousseyni Dicko and Ibrahim Diarra for managing the clinical data, and J. Patrick Gorres for editing this manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.1061538/full#supplementary-material

References

1. Fried M, Duffy P. Malaria during pregnancy. Cold Spring Harb Perspect Med. (2017) 7:a025551. doi: 10.1101/cshperspect.a025551

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Moore K, Simpson J, Wiladphaingern J, Min A, Pimanpanarak M, Paw M, et al. Influence of the number and timing of malaria episodes during pregnancy on prematurity and small-for-gestational-age in an area of low transmission. BMC Med. (2017) 15:117. doi: 10.1186/s12916-017-0877-6

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Moore K, Simpson J, Scoullar M, McGready R, Fowkes F. Quantification of the association between malaria in pregnancy and stillbirth: a systematic review and meta-analysis. Lancet Glob Health. (2017) 5:e1101–12. doi: 10.1016/S2214-109X(17)30340-6

PubMed Abstract | CrossRef Full Text | Google Scholar

4. World Health Organization [WHO]. World malaria report 2021. Geneva: WHO (2021).

Google Scholar

5. Mahamar A, Andemel N, Swihart B, Sidibe Y, Gaoussou S, Barry A, et al. Malaria infection is common and associated with perinatal mortality and preterm delivery despite widespread use of chemoprevention in Mali: an observational study 2010 to 2014. Clin Infect Dis. (2021) 73:1355–61. doi: 10.1093/cid/ciab301

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Harrington W, Mutabingwa T, Muehlenbachs A, Sorensen B, Bolla M, Fried M, et al. Competitive facilitation of drug-resistant Plasmodium falciparum malaria parasites in pregnant women who receive preventive treatment. Proc Natl Acad Sci USA. (2009) 106:9027–32. doi: 10.1073/pnas.0901415106

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Fried M, Duffy P. Adherence of Plasmodium falciparum to chondroitin sulfate a in the human placenta. Science. (1996) 272:1502–4. doi: 10.1126/science.272.5267.1502

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Fried M, Duffy P. Designing a VAR2CSA-based vaccine to prevent placental malaria. Vaccine. (2015) 33:7483–8. doi: 10.1016/j.vaccine.2015.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Salanti A, Dahlback M, Turner L, Nielsen M, Barfod L, Magistrado P, et al. Evidence for the involvement of VAR2CSA in pregnancy-associated malaria. J Exp Med. (2004) 200:1197–203. doi: 10.1084/jem.20041579

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Mordmuller B, Sulyok M, Egger-Adam D, Resende M, de Jongh W, Jensen M, et al. First-in-human, randomized, double-blind clinical trial of differentially adjuvanted PAMVAC, a vaccine candidate to prevent pregnancy-associated malaria. Clin Infect Dis. (2019) 69:1509–16. doi: 10.1093/cid/ciy1140

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Sirima S, Richert L, Chene A, Konate A, Campion C, Dechavanne S, et al. PRIMVAC vaccine adjuvanted with alhydrogel or GLA-SE to prevent placental malaria: a first-in-human, randomised, double-blind, placebo-controlled study. Lancet Infect Dis. (2020) 20:585–97. doi: 10.1016/S1473-3099(19)30739-X

CrossRef Full Text | Google Scholar

12. Hoffman S, Vekemans J, Richie T, Duffy P. The march toward malaria vaccines. Am J Prev Med. (2015) 49:S319–33. doi: 10.1016/j.vaccine.2015.07.091

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lyke K, Ishizuka A, Berry A, Chakravarty S, DeZure A, Enama M, et al. Attenuated PfSPZ vaccine induces strain-transcending T cells and durable protection against heterologous controlled human malaria infection. Proc Natl Acad Sci USA. (2017) 114:2711–6. doi: 10.1073/pnas.1615324114

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Sissoko M, Healy S, Katile A, Zaidi I, Hu Z, Kamate B, et al. Safety and efficacy of a three-dose regimen of Plasmodium falciparum sporozoite vaccine in adults during an intense malaria transmission season in Mali: a randomised, controlled phase 1 trial. Lancet Infect Dis. (2022) 22:377–89. doi: 10.1016/S1473-3099(21)00332-7

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Andemel N, Gaoussou S, Barry A, Issiaka D, Mahamar A, Traore M, et al. Adverse pregnancy outcomes among women presenting at antenatal clinics in Ouelessebougou, Mali. Reprod Health. (2020) 17:39. doi: 10.1186/s12978-020-0890-7

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bucher S, Marete I, Tenge C, Liechty E, Esamai F, Patel A, et al. A prospective observational description of frequency and timing of antenatal care attendance and coverage of selected interventions from sites in Argentina, Guatemala, India, Kenya, Pakistan and Zambia. Reprod Health. (2015) 12(Suppl. 2):S12. doi: 10.1186/1742-4755-12-S2-S12

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mali Mali 2018 demographic and health survey 2018. (2018). Available online at: https://dhsprogram.com/pubs/pdf/SR261/SR261.E.pdf (accessed November 29, 2022).

Google Scholar

18. Ammon Avalos L, Galindo C, Li D. A systematic review to calculate background miscarriage rates using life table analysis. Birth Defects Res Part A Clin Mol Teratol. (2012) 94:417–23. doi: 10.1002/bdra.23014

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Lawn J, Blencowe H, Waiswa P, Amouzou A, Mathers C, Hogan D, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. (2016) 387:587–603. doi: 10.1016/S0140-6736(15)00837-5

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Villar J, Cheikh Ismail L, Victora C, Ohuma E, Bertino E, Altman D, et al. International standards for newborn weight, length, and head circumference by gestational age and sex: the newborn cross-sectional study of the INTERGROWTH-21st project. Lancet. (2014) 384:857–68. doi: 10.1016/S0140-6736(14)60932-6

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Goldhaber M, Fireman B. The fetal life table revisited: spontaneous abortion rates in three kaiser permanente cohorts. Epidemiology. (1991) 2:33–9.

PubMed Abstract | Google Scholar

22. Couzin-Frankel J. The pregnancy gap. Science. (2022) 375:1216–20. doi: 10.1126/science.adb2029

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Healy S, Fried M, Richie T, Bok K, Little M, August A, et al. Malaria vaccine trials in pregnant women: an imperative without precedent. Vaccine. (2019) 37:763–70. doi: 10.1016/j.vaccine.2018.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Wilcox A, Weinberg C, O’Connor J, Baird D, Schlatterer J, Canfield R, et al. Incidence of early loss of pregnancy. N Engl J Med. (1988) 319:189–94. doi: 10.1056/NEJM198807283190401

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Wang X, Chen C, Wang L, Chen D, Guang W, French J. Conception, early pregnancy loss, and time to clinical pregnancy: a population-based prospective study. Fertil Steril. (2003) 79:577–84. doi: 10.1016/S0015-0282(02)04694-0

CrossRef Full Text | Google Scholar

26. Mukherjee S, Velez Edwards D, Baird D, Savitz D, Hartmann K. Risk of miscarriage among black women and white women in a U.S. prospective cohort study. Am J Epidemiol. (2013) 177:1271–8. doi: 10.1093/aje/kws393

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Quenby S, Gallos I, Dhillon-Smith R, Podesek M, Stephenson M, Fisher J, et al. Miscarriage matters: the epidemiological, physical, psychological, and economic costs of early pregnancy loss. Lancet. (2021) 397:1658–67. doi: 10.1016/S0140-6736(21)00682-6

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Frederiksen L, Ernst A, Brix N, Braskhoj Lauridsen L, Roos L, Ramlau-Hansen C, et al. Risk of adverse pregnancy outcomes at advanced maternal age. Obstet Gynecol. (2018) 131:457–63. doi: 10.1097/AOG.0000000000002504

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Magnus M, Wilcox A, Morken N, Weinberg C, Haberg S. Role of maternal age and pregnancy history in risk of miscarriage: prospective register based study. BMJ. (2019) 364:l869. doi: 10.1136/bmj.l869

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Dellicour S, Aol G, Ouma P, Yan N, Bigogo G, Hamel M, et al. Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya. BMJ Open. (2016) 6:e011088. doi: 10.1136/bmjopen-2016-011088

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Bhattacharya S, Townend J, Bhattacharya S. Recurrent miscarriage: are three miscarriages one too many? analysis of a scottish population-based database of 151,021 pregnancies. Eur J Obstet Gynecol Reprod Biol. (2010) 150:24–7. doi: 10.1016/j.ejogrb.2010.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Hug L, You D, Blencowe H, Mishra A, Wang Z, Fix M, et al. Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment. Lancet. (2021) 398:772–85. doi: 10.1016/S0140-6736(21)01112-0

PubMed Abstract | CrossRef Full Text | Google Scholar

33. McGready R, Lee S, Wiladphaingern J, Ashley E, Rijken M, Boel M, et al. Adverse effects of falciparum and vivax malaria and the safety of antimalarial treatment in early pregnancy: a population-based study. Lancet Infect Dis. (2012) 12:388–96. doi: 10.1016/S1473-3099(11)70339-5

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Nosten F, ter Kuile F, Maelankirri L, Decludt B, White N. Malaria during pregnancy in an area of unstable endemicity. Trans R Soc Trop Med Hyg. (1991) 85:424–9. doi: 10.1016/0035-9203(91)90205-d

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Okoko B, Ota M, Yamuah L, Idiong D, Mkpanam S, Avieka A, et al. Influence of placental malaria infection on foetal outcome in the Gambia: twenty years after ian Mcgregor. J Health Popul Nutr. (2002) 20:4–11.

PubMed Abstract | Google Scholar

36. Lawn J, Blencowe H, Oza S, You D, Lee A, Waiswa P, et al. Every newborn: progress, priorities, and potential beyond survival. Lancet. (2014) 384:189–205. doi: 10.1016/S0140-6736(14)60496-7

CrossRef Full Text | Google Scholar

37. Parise M, Ayisi J, Nahlen B, Schultz L, Roberts J, Misore A, et al. Efficacy of sulfadoxine-pyrimethamine for prevention of placental malaria in an area of Kenya with a high prevalence of malaria and human immunodeficiency virus infection. Am J Trop Med Hyg. (1998) 59:813–22. doi: 10.4269/ajtmh.1998.59.813

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: pregnancy, miscarriage, preterm delivery, malaria, women of child-bearing age

Citation: Gaoussou S, Attaher O, Swihart B, Traore M, Diarra S, Soumbounou IH, Ndiaye O, Issiaka D, Morrison R, Mahamar A, Duffy PE, Dicko A and Fried M (2022) Pregnancy outcomes in a malaria-exposed Malian cohort of women of child-bearing age. Front. Med. 9:1061538. doi: 10.3389/fmed.2022.1061538

Received: 04 October 2022; Accepted: 24 November 2022;
Published: 08 December 2022.

Edited by:

Simcha Yagel, Hadassah Medical Center, Israel

Reviewed by:

Kwok Yin Leung, The University of Hong Kong, Hong Kong SAR, China
Zahra Hoodbhoy, Aga Khan University, Pakistan

Copyright © 2022 Gaoussou, Attaher, Swihart, Traore, Diarra, Soumbounou, Ndiaye, Issiaka, Morrison, Mahamar, Duffy, Dicko and Fried. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michal Fried, bWljaGFsLmZyaWVkQG5paC5nb3Y=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.