Skip to main content
Malaria Journal logoLink to Malaria Journal
. 2017 Oct 24;16:427. doi: 10.1186/s12936-017-2077-4

Risk factors and pregnancy outcomes associated with placental malaria in a prospective cohort of Papua New Guinean women

Elvin Lufele 1, Alexandra Umbers 1,2, Jaume Ordi 3, Maria Ome-Kaius 1, Regina Wangnapi 1, Holger Unger 1,2, Nandao Tarongka 1, Peter Siba 1, Ivo Mueller 4,5, Leanne Robinson 1,4,6, Stephen Rogerson 2,
PMCID: PMC5655867  PMID: 29065884

Abstract

Background

Plasmodium falciparum in pregnancy results in substantial poor health outcomes for both mother and child, particularly in young, primigravid mothers who are at greatest risk of placental malaria (PM) infection. Complications of PM include maternal anaemia, low birth weight and preterm delivery, which contribute to maternal and infant morbidity and mortality in coastal Papua New Guinea (PNG).

Methods

Placental biopsies were examined from 1451 pregnant women who were enrolled in a malaria prevention study at 14–26 weeks gestation. Clinical and demographic information were collected at first antenatal clinic visits and women were followed until delivery. Placental biopsies were collected and examined for PM using histology. The presence of infected erythrocytes and/or the malaria pigment in monocytes or fibrin was used to determine the type of placental infection.

Results

Of 1451 placentas examined, PM infection was detected in 269 (18.5%), of which 54 (3.7%) were acute, 55 (3.8%) chronic, and 160 (11.0%) were past infections. Risk factors for PM included residing in rural areas (adjusted odds ratio (AOR) 3.65, 95% CI 1.76–7.51; p ≤ 0.001), being primigravid (AOR 2.45, 95% CI 1.26–4.77; p = 0.008) and having symptomatic malaria during pregnancy (AOR 2.05, 95% CI 1.16–3.62; p = 0.013). After adjustment for covariates, compared to uninfected women, acute infections (AOR 1.97, 95% CI 0.98–3.95; p = 0.056) were associated with low birth weight babies, whereas chronic infections were associated with preterm delivery (AOR 3.92, 95% CI 1.64–9.38; p = 0.002) and anaemia (AOR 2.22, 95% CI 1.02–4.84; p = 0.045).

Conclusions

Among pregnant PNG women receiving at least one dose of intermittent preventive treatment in pregnancy and using insecticide-treated bed nets, active PM infections were associated with adverse outcomes. Improved malaria prevention is required to optimize pregnancy outcomes.

Keywords: Placental malaria, Pregnancy, Birth outcomes, Intermittent preventive treatment in pregnancy, Insecticide-treated bed nets, Papua New Guinea

Background

In endemic areas, malaria in pregnancy poses a substantial risk for both mother and child. Globally, over 125 million pregnant women are at risk of malaria infection [1] and up to 200,000 infant deaths and 10,000 maternal deaths occur annually due to malaria in pregnancy [24].

In African settings, pregnant women are more vulnerable to malaria infection than non-pregnant women [4] and susceptibility is highest in young, primigravid mothers who have two to seven times higher risk of delivering low birth weight (LBW, < 2500 g) babies than multigravidae [2], while other associated poor outcomes include maternal anaemia and preterm delivery (PTD, < 37 weeks) [2, 4]. There are relatively limited data from Papua New Guinea (PNG), although previous studies have reported similar findings [57]. Both LBW and PTD complicating malaria in pregnancy are associated with increased risk of infant mortality [4] and high rates of cognitive impairment, learning disability and behavioural problems in children [2]. Maternal anaemia due to malaria is an independent risk factor for LBW and intrauterine growth restriction (IUGR) [810] and may also increase the risk of PTD and stillbirth [5, 11].

The presence of infected erythrocytes (IE) or malaria pigment (haemozoin) in the intervillous spaces of placenta is termed placental malaria (PM) [8, 12, 13]. The mature asexual stages of Plasmodium falciparum IE can sequester in the placenta [10] and avoid splenic clearance. Often pregnant women are asymptomatic, and the absence of detectable peripheral parasitaemia does not preclude placental infection [8, 14, 15] making detection and treatment challenging [16, 17]. Methods to detect P. falciparum in pregnancy include peripheral and placental blood microscopy, antigen detection tests, polymerase chain reaction (PCR) and placental histology [16]. Of these, placental histology [18, 19] and PCR are the most sensitive techniques [16, 17].

In previous studies, placental IE and macrophages containing malaria pigment detected on placental histology have been associated with decreased infant birth weight and maternal haemoglobin concentration [19]. In studies of sub-microscopic infections detected by PCR, these infections were associated with anaemia but less commonly with LBW [18, 20]. Women with malaria detected by microscopy were more likely to be anaemic and had lower haemoglobin concentrations than uninfected women [18, 19].

Malaria is hyperendemic with perennial malaria transmission in coastal areas of PNG, reaching levels rarely found outside of sub-Saharan Africa [21] and it contributes significantly to maternal mortality and LBW [6, 22]. In this setting, malaria has been associated with LBW due to both IUGR and PTD (which has also been associated with maternal anaemia) and these adverse outcomes are particularly common in primigravid women [5, 7, 22]. Since these earlier studies, there have been changes to malaria control programs during pregnancy. To investigate this further, the prevalence of PM, risk factors for PM, and maternal anaemia and birth outcomes associated with PM were studied in a cohort of women receiving at least one dose of intermittent preventive treatment in pregnancy (IPTp) and sleeping under insecticide-treated bed nets (ITN).

Methods

Study population and design

The study was conducted in Madang Province located on the north coast of PNG. Following written informed consent, pregnant women aged 16–49 years and between 14 and 26 weeks gestation (by fundal height) were recruited into a randomized clinical trial comparing three doses of IPTp with sulfadoxine/pyrimethamine (SP, 1500/75 mg) and azithromycin (AZ, 1 g twice daily for 2 days) as compared to a curative dose of SP and chloroquine (CQ) [22]. Women were excluded if they had tuberculosis, diabetes, renal failure, severe anaemia (haemoglobin < 7 g/dL), permanent disability or multiple pregnancies. The study protocol was approved by PNG Institute of Medical Research (IMR) Institutional Review Board (0815), PNG Medical Research Advisory Committee (08.01) and Melbourne Health Human Research Ethics Committee, Australia (2008.162). The clinical trial registration number is NCT01136850 [22].

Clinical data collection

Basic clinical and demographic data were collected at first antenatal clinic (ANC) visit and haemoglobin concentration was measured by HemoCue® device (HemoCue, Ångelholm, Sweden). At delivery additional clinical data were collected, birth weight was measured using a digital baby scale (Cupid 1, Charder Medical, Taiwan) shortly after delivery, and maternal haemoglobin was measured again. Anaemia was defined as maternal haemoglobin < 11.0 g/dL, and categorized as mild (Hb 9.0–10.9 g/dL), moderate (7.0–8.9 g/dL) and severe (< 7.0 g/dL). Symptomatic women with a positive malaria rapid diagnostic test (CareStart™ P.f/Pan combo, Access-Bio, USA) at ANC visits were considered to have clinical malaria and were treated with anti-malarials. PTD was defined based on obstetric ultrasound, performed in a subset of participants, using the earliest available dating scan.

Plasmodium species diagnosis

Peripheral thick and thin blood slides collected at enrolment, follow-up visits and delivery were Giemsa-stained and examined for malaria parasite speciation and density quantification using established methods [23]. Those blood slides positive for malaria were not treated with anti-malarials.

Placental biopsy collection, preparation and processing

Placental biopsies were collected from the maternal side of the placenta. Incisions extended from the maternal to the fetal side of the placenta without reaching the fetal membrane. Biopsies were fixed and transported in 10% neutral buffered formalin for processing at the University of Melbourne Histology Department. Sections were stained with Giemsa, cover slipped and returned to PNG for analyses. A subset of placental biopsies was examined in Barcelona, Spain for quality control.

Placental histology evaluation

The histological analysis was performed primarily in Madang, PNG, where examiners were blinded to intervention group and clinical data. Each placental slide was classified for malaria infection using the presence or absence of three histological features: IE, malaria pigment in monocytes/macrophages, and malaria pigment in fibrin deposits [24, 25] (Table 1). All cases with parasites (acute and chronic infections) were termed active infections [24], and for analysis we combined both active and past infections, due to the relatively small number of the former.

Table 1.

Classification of placental pathology [24, 25]

Infection stages Description
Acute Parasites, no pigment in monocytes or fibrin
Chronic Parasites, pigment in monocytes and/or fibrin
Past No parasites, pigment only
No No parasites or pigment

Data analysis

The placental histology data were merged with the existing clinical database, and correlated with clinical and demographic variables using the Pearson Chi squared test for categorical variables, and the Student’s t test for normally distributed continuous variables between two groups. Logistic and linear regression analyses were performed to identify risk factors and adverse maternal and infant outcomes associated with PM at delivery. Univariable associations were determined between clinical and demographic risk factors for PM and gestational age, anaemia, haemoglobin concentration, birth weight, LBW and PTD. Predictors of infant and maternal outcomes were identified from adjusted regression models including all exposure variables. All tests were two-tailed and the confidence level was set at 95%. All statistical analyses were performed using Stata 11 (Stata Corp, Texas, USA).

Results

Clinical and demographic characteristics of study cohort

A total of 1451 pregnant women with placental biopsies including their matched clinical and laboratory data were available for inclusion in this study (Fig. 1). Their demographical and clinical characteristics are summarized in Table 2. The study population included equal proportions of women from both trial arms, and 11.9% (172/1448) experienced symptomatic malaria during their pregnancy (Table 2). The mean age was 24 ± 5.4 years and mean body weight was 54 ± 9.7 kg (Table 2). Approximately half (50.9%, 738/1449) of the women were primigravid, and 26.7% (379/1420) were defined as malnourished with a mid-upper arm circumference (MUAC) < 23 cm. Most women were of coastal ethnicities and the majority resided in rural areas. They were generally subsistence farmers or earning wages and equal proportions of them used bed nets with or without insecticides (Table 2).

Fig. 1.

Fig. 1

Flowchart showing the number of pregnant women enrolled for the parent study whose placental histology was collected for placental malaria investigation

Table 2.

Clinical and demographic characteristics of pregnant women with and without placental malaria

Risk factors n Placental malaria p
Maternal Positive Negative
IPTp
 Intervention arm 726/1451 126 (46.8) 600 (50.8) 0.246
 Control arm 725/1451 143 (53.2) 582 (49.2)
Clinical malaria 172/1448 43 (25.0) 129 (75.0) 0.020
MUAC (cm) 379/1420 78 (20.6) 301 (79.4) 0.212
Weight (kg) 54.3 [± 9.7] 53 [± 8.0] 55 [± 10.0] 0.007
Age (years) 24.5 [± 5.4] 23 [± 5.0] 25 [± 5.5] 0.003
Gravidity
 Primigravidae 738/1449 164 (61.0) 574 (48.6) 0.001
 Secundigravidae 309/1449 48 (17.8) 261 (22.2)
 Multigravidae 402/1449 57 (21.2) 345 (29.2)
Ethnic group
 Sepik 258/1450 46 (17.1) 212 (82.2) 0.025
 Madang/morobe 934/1450 190 (70.6) 744 (79.7)
 Highlands 125/1450 12 (4.5) 113 (90.4)
 Other 133/1450 21 (7.8) 112 (84.2)
Place of residence
 Rural 827/1445 190 (70.6) 637 (77.0) ≤ 0.001
 Peri-urban 282/1445 41 (15.2) 241 (20.5)
 Migrant 75/1445 15 (5.6) 60 (5.1)
 Urban 261/1445 23 (8.6) 238 (20.2)
Bednet use
 Not used 328/1445 57 (21.3) 271 (23.0) 0.064
 Used, not ITN 600/1445 128 (47.8) 472 (40.1)
 Used, ITN 517/1445 83 (30.9) 434 (36.9)
Socio-economic
 Employment
  Subsistence farmer 313/745 62 (42.2) 251 (41.9) 0.700
  Self-employed 149/745 26 (17.7) 123 (20.6)
  Wage earner 283/745 59 (40.1) 224 (37.5)
Literate 1371/1450 257 (18.8) 1114 (81.2) 0.429
Betel nut chewer 1198/1444 221 (18.5) 977 (81.5) 0.926
Smoker 282/1450 45 (16.0) 237 (84.0) 0.212
Alcohol consumer 83/1446 9 (10.8) 74 (89.2) 0.063

Data are number (%), or mean [standard deviation]

IPTp intermittent preventive treatment in pregnancy, MUAC mid-upper arm circumference, ITN insecticide-treated bed nets

Estimated by Pearson Chi squared and ♦ Student t tests, p values are shown. p < 0.05 marked in italic

Prevalence of placental malaria infection

Placental biopsies for histological examination and delivery data were available from 1451 pregnant women. Of 1451 placentas examined, 18.5% (269/1451) showed evidence of current or past PM. There were 7.5% active infections [3.7% (54/1451) acute, and 3.8% (55/1451) chronic], and 11.0% (160/1451) past infections.

Risk factors for placental malaria infection at delivery

In univariate analyses, women’s weight (OR 0.98, 95% CI 0.97–1.00; p = 0.014), and age (OR 0.96, 95% CI 0.93–0.98; p = 0.001), were negatively associated with PM, while first pregnancy increased the likelihood of PM (OR 1.73, 95% CI 1.24–2.40; p = 0.001) (Table 3). Risk factors for PM included living in rural (OR 3.09, 95% CI 1.95–4.88; p ≤ 0.001) or peri-urban areas (OR 1.76, 95% CI 1.02–3.02; p = 0.041), having recently migrated into the study area from other provinces of PNG (OR 2.59, 95% CI 1.27–5.26; p = 0.009), using bed nets without insecticides (OR 1.42, 95% CI 1.04–1.92; p = 0.025), and presenting with clinical malaria (OR 1.56, 95% CI 1.07–2.26; p = 0.020) (Table 3). In multivariate analyses, clinical malaria (AOR 2.05, 95% CI 1.16–3.62; p = 0.013), first pregnancy (AOR 2.45, 95% CI 1.26–4.77; p = 0.008) and rural residence (AOR 3.65, 95% CI 1.76–7.51; p ≤ 0.001) remained significant risk factors for PM (Table 3).

Table 3.

Univariate and multivariate analyses for risk factors associated with placental malaria

Risk factors n Unadjusted (95% CI) p Adjusted (95% CI)a p
Maternal
IPTp, n = 1451
 Intervention arm 726 0.85 (0.66–1.11) 0.246 0.69 (0.47–1.03) 0.068
 Control arm 725 REF REF REF REF
Clinical malaria, n = 1448 172 1.56 (1.07–2.26) 0.020 2.05 (1.16–3.62) 0.013
MUAC (cm), n = 1420 379 1.21 (0.90–1.62) 0.212 1.04 (0.65–1.66) 0.881
Weight (kg) 1451 0.98 (0.97–1.00) 0.014 0.98 (0.96–1.00) 0.080
Age (years) 1451 0.96 (0.93–0.98) 0.001 1.00 (0.95–1.05) 0.979
Gravidity, n = 1449
 Primigravidae 738 1.73 (1.24–2.40) 0.001 2.45 (1.26–4.77) 0.008
 Secundigravidae 309 1.11 (0.73–1.69) 0.614 1.40 (0.70–2.78) 0.344
 Multigravidae 402 REF REF REF REF
Ethnic group, n = 1450
 Sepik 258 1.16 (0.66–2.04) 0.612 1.06 (0.46–2.47) 0.892
 Madang/morobe 934 1.36 (0.83–2.23) 0.219 0.92 (0.45–1.89) 0.825
 Highlands 125 0.57 (0.27–1.21) 0.140 0.60 (1.81–2.00) 0.409
 Other 133 REF REF REF REF
Place of residence, n = 1445
 Rural 827 3.09 (1.95–4.88) ≤ 0.001 3.65 (1.76–7.51) ≤ 0.001
 Peri-urban 282 1.76 (1.02–3.02) 0.041 1.32 (0.55–3.17) 0.451
 Migrant 75 2.59 (1.27–5.26) 0.009 1.65 (0.50–5.37) 0.409
 Urban 261 REF REF REF REF
Bednet use, n = 1445
 Not used 328 1.10 (0.76–1.59) 0.614 1.26 (0.73–2.16) 0.402
 Used, not ITN 600 1.42 (1.04–1.92) 0.025 1.43 (0.91–2.24) 0.123
 Used, ITN 517 REF REF REF REF
Socio-economic
 Employment, n = 745
  Subsistence farmer 313 0.94 (0.63–1.40) 0.753 0.64 (0.40–1.03) 0.064
  Self-employed 149 0.80 (0.48–1.34) 0.399 0.83 (0.47–1.47) 0.523
  Wage earner 283 REF REF REF REF
 Literate, n = 1450 1371 1.29 (0.69–2.42) 0.430 0.84 (0.34–2.10) 0.708
 Betel nut chewer, n = 1444 1198 0.98 (0.69–1.40) 0.926 1.67 (0.89–3.13) 0.107
 Smoker, n = 1450 282 0.80 (0.56–1.14) 0.212 0.96 (0.57–1.62) 0.874
 Alcohol consumer, n = 1446 83 0.52 (0.26–1.05) 0.068 0.35 (0.11–1.07) 0.065

Data are odds ratios (95% confident interval) for logistic regression models, p values are shown. p < 0.05 marked in italic

IPTp intermittent preventive treatment in pregnancy, MUAC mid-upper arm circumference, ITN insecticide-treated bed nets, REF reference group

aMultivariate analyses included all risk factors

Association of placental malaria with maternal anaemia, low birth weight, and preterm delivery at birth

Anaemia was highly prevalent in this population (72.6%, 961/1323). In unadjusted analyses, women with chronic (p ≤ 0.001) and past (p = 0.023) infections had lower haemoglobin concentrations than uninfected women. In adjusted analyses, only chronic infection remained associated with reduced haemoglobin concentrations (Table 4). In unadjusted analyses, women with chronic (OR 2.13, 95% CI 0.99–4.58; p = 0.053) and past (OR 1.64, 95% CI 1.06–2.53; p = 0.025) infections were at two fold increased odds of having anaemia compared to uninfected women. In adjusted analyses, only chronic infections remained associated with anaemia (AOR 2.22, 95% CI 1.02–4.84; p = 0.045) (Table 4).

Table 4.

Association between placental malaria infection stages with birth outcomes at delivery, adjusted for confounding variables

Hb level Anaemia Birth weight LBW GA PTD
PM stages ACoeff (95% CI)a p AOR (95% CI)a p ACoeff (95% CI)a p AOR (95% CI)a p ACoeff (95% CI)a p AOR (95% CI)a p
Acute 0.15 (− 0.34–0.64) 0.560 0.61 (0.33–1.10) 0.091 − 188.98 (− 323.33–54.64) 0.006 1.97 (0.98–3.95) 0.056 − 0.65 (− 5.02–3.71) 0.770 2.33 (0.86–6.35) 0.097
Chronic − 0.87 (− 1.36–0.38) 0.001 2.22 (1.02–4.84) 0.045 − 63.64 (− 199.08–71.79) 0.357 1.22 (0.59–2.50) 0.589 − 3.39 (− 7.79–1.02) 0.132 3.92 (1.64–9.38) 0.002
Past − 0.25 (− 0.56–0.05) 0.103 1.53 (0.89–2.38) 0.061 − 76.12 (− 159.07–6.84) 0.072 1.00 (0.61–1.63) 0.985 − 1.52 (− 4.27−1.23) 0.279 1.46 (0.71–3.03) 0.305
No REF REF REF REF REF REF REF REF REF REF REF REF

Data are coefficients or odds ratios (95% confident interval) for multivariate linear and logistic regression models, p values are shown. p < 0.05 marked in italic

PM placental malaria, Hb haemoglobin, LBW low birth weight, GA gestational age, PTD preterm delivery, ACoeff adjusted coefficient or AOR adjusted odds ratio, REF reference group

aVariables included in multivariate analyses are placental malaria infection stages, gravidity, place of residence, maternal age, clinical malaria, maternal mid-upper arm circumference and weight

The severity of anaemia was significantly associated with PM stages. Among women with chronic PM, more had moderate anaemia (35.3%, 18/51) and severe anaemia (11.8%, 6/51) compared to uninfected women (moderate anaemia 14.9%, 161/1079 and severe anaemia 3.2%, 34/1079) (p ≤ 0.001), respectively.

Low birth weight was prevalent in this study cohort (14.0%, 203/1448). In unadjusted analyses, there were significant associations between presence of acute (p = 0.005), chronic (p = 0.042) or past (p = 0.002) PM infections and reduced birth weight, while only acute PM infections (OR 1.95, 95% CI 1.00–3.80; p = 0.049) were associated with increased odds to have LBW babies. In adjusted analyses, acute PM infections were associated with reduced birth weight compared to uninfected women, and with increased risk of LBW deliveries (AOR 1.97, 95% CI 0.89–3.95; p = 0.056) compared to uninfected women (Table 4). Women with acute infections (mean birth weight, 2780 ± 692 g; p = 0.002) had birth weights on average 199 g lower than uninfected women (mean birth weight, 2979 ± 490 g).

Preterm delivery determined by ultrasound dating was observed in 8.4% (81/962) of women in this study. The timing of the ultrasound dating was compared by groups with different placental histology findings. There were no significant differences in timing of first ultrasound between groups, women with chronic PM infections were almost four times more likely to have PTD compared to uninfected women (AOR 3.92, 95% CI 1.64–9.38; p = 0.002) (Table 4). Women with acute PM infections (AOR 2.33, 95% CI 0.86–6.35; p = 0.097) also had increased odds to have PTD but the association was not statistically significant (Table 4). When duration of gestation was examined, women with chronic PM infections (mean gestational age, 271 ± 13 days) had an average gestational age approximately 4 days less than those with no PM (mean gestational age; 275 ± 13 days; p = 0.041).

Discussion

In the context of a trial of IPTp in PNG [22], the prevalence and risk factors for PM infection are examined, and poor pregnancy outcomes associated with PM are described. In the largest survey of PM in Western Pacific region to date, risk factors for PM include residing in rural areas, being primigravid and having symptomatic malaria infection during pregnancy. The impact of PM on pregnancy outcomes varied according to the type of placental infection. Maternal anaemia and PTD were associated with chronic PM infections, whereas LBW was more common in acute PM infections.

The present study focused on P. falciparum-infected placentas, as this parasite was the only one detected in placentas with active infection by qPCR, and it is the major cause of adverse effects on the mother and baby world-wide in regions where malaria is endemic [1]. Previous studies in the same area showed high prevalence of P. falciparum malaria in pregnant women [6, 26] with PM detected in over 40% of pregnancies [7, 27]. In the present study, PM was found in 18.5% of participants, and past infections were most prevalent. As previously reported, the prevalence of acute or chronic PM was lower in women who received SP and AZ [22], suggesting this combination offered protection against active PM, although it was not associated with reductions in past infection. The lower prevalence of PM infection compared to previous studies may reflect the recent overall decline of malaria in PNG [28].

The risk factors associated with PM infections vary between different epidemiological settings where malaria is endemic. In the present study, symptomatic malaria illness during pregnancy, being in first pregnancy, and residing in rural areas were risk factors for PM in adjusted analyses. While malaria infections are often asymptomatic during pregnancy, a significant proportion of parasitaemic women have symptoms such as fever, headache, malaise and dizziness [29]; the data suggest these symptomatic infections might be a proxy for PM infection, especially in light of changing epidemiology of malaria [30].

In this cohort, primigravid women were most susceptible to PM infection, and this susceptibility decreased with subsequent pregnancy, as commonly observed elsewhere [2]. It is generally understood that primigravid women are uniquely susceptible because they lack pregnancy-specific malaria immunity in the form of antibodies and memory B cells to the pregnancy-specific parasite variant surface antigen VAR2CSA [3]. These protective antibody responses develop over subsequent pregnancies, conferring protection against PM [31].

Furthermore, the vulnerability of pregnant women to PM infection is also increased by extrinsic factors during pregnancy. Women in the present cohort who were living in rural areas had a higher risk of PM infection. The spatial variation in PM infection risk amongst the women residing at various localities may be due to the heterogeneous transmission of malaria in this area, and previous studies have confirmed higher rates of transmission in rural settings where the main vector Anopheles punctulatus group of mosquitoes are predominantly found compared to urban areas [21].

Anaemia was highly prevalent in this cohort, and there were associations between anaemia or lower haemoglobin concentrations and PM. Chronic PM infection was associated with a significant reduction in maternal haemoglobin concentration, and it was also associated with increased risk of anaemia in adjusted analyses, in keeping with studies from Africa [25, 32]. Women with chronic PM were at significantly increased risk of moderate and severe anaemia compared to those with no PM infections. Although anaemia was associated with PM infections, there may be other factors that have contributed to anaemia in the present cohort, such as iron and/or folate deficiency [33], splenomegaly, red blood cell genetic traits such as alpha thalassaemia, and hookworm infection, all of which are prevalent in this setting [5, 7, 34, 35].

This study is consistent with previous findings [36] demonstrating P. falciparum acute PM infections were significantly associated with reduced mean birth weight, which may predispose to greater risk of morbidity and mortality in infancy [12, 25]. Although previous studies from this setting had reported that chronic PM infection was associated with LBW [7, 37], acute PM infections were particularly associated with LBW in the current study. This difference may be due to different study design. In the current study, women received ITNs and between one and three courses of IPTp, whereas previous studies were observational in nature, chloroquine prophylaxis rather than IPTp was recommended but not supervised and women were not provided with ITNs, potentially predisposing to longer duration chronic infections. In keeping with this, in an observational study African pregnant women, chronic PM infection especially with massive chronic intervillositis (the accumulation of large number of white blood cells in the maternal intervillous space of placenta) was associated with LBW while acute PM infection with high parasitaemia was associated with PTD [32]. Other factors may be contributing significantly to reduced fetal growth. Most women in the present study were anaemic and the occurrence of anaemia may have had a direct effect on fetal growth [35]. Additionally, less than 30% of the cohort was malnourished, suggesting that these women could have poor nutritional status. A previous study in the same setting reported associations between poor maternal nutritional status and reduced infants’ birth weight [5].

In this cohort, chronic PM infection was associated with increased risk of PTD. PM infection may contribute to LBW via multiple mechanisms including IUGR or PTD [38]. Although the causes of IUGR and PTD differ, this study supports the notion that PM infection may be an underlying cause of both in this population, alongside other factors. In this study, 24.1 and 28.4% of all LBW and PTD, respectively, were associated with PM. A previous study in this setting had reported that PM infection was associated with LBW mostly caused by IUGR rather than PTD; however, the latter was associated with maternal anaemia [5, 22].

There are some potential limitations to the present study. First, the pregnant women enrolled in the study might not be a true representation of population in the region since most women attended ANC at advanced gestational age and were ineligible to join the study [22]. Second, the health facilities used for the recruitment of study participants were in close proximity to the urban centre, therefore the study may not have measured the full extent of malaria in distant rural settings. Third, due to sampling and technical issues placental tissues from over 500 women who completed the clinical study were not able to be assessed. Although both P. falciparum and Plasmodium vivax are endemic in PNG [6], and P. vivax PM infection had been reported [39], the study might have underestimated the possibility that P. vivax can sequester in placenta even though the mechanism is less well understood [11]. Despite this, the study remains the largest to assess for the prevalence of PM, geographic and clinical risk factors including adverse pregnancy outcomes associated with PM in the Western Pacific region.

Conclusions

The prevalence of PM infection in Madang has declined in the last decade, probably reflecting changes in malaria transmission reported across the country. Women with symptomatic malaria during pregnancy, primigravidae, and women who lived in rural settings were at increased risk for PM, despite receiving one dose of malaria prophylaxis and sleeping under insecticide-treated bed nets. Chronic PM infections were associated with anaemia, which was highly prevalent in the study cohort; acute PM infections were associated with a doubling of the likelihood of LBW; and chronic PM infections were associated with substantially increased likelihood of PTD. Associations between different categories of PM and adverse outcomes indicate that there is still need for health policy makers to improve the access and uptake of available preventive measures to prevent malaria in pregnancy in PNG.

Authors’ contributions

Conceived and designed the study: SR, IM, AU. Supervised enrolment and follow-up of participants: MO, RW, HU. Supervised and conducted laboratory procedures: AU, EL, JO, LR, NT. Verified, analysed and interpreted the data: EL, HU, AU, LR, SR. Drafted original version of the manuscript: EL, LR, SR. All authors participated in the writing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We are grateful to all the pregnant women who participated in this study and to the IPTp clinical, field and laboratory staff. Also, we appreciate the work of Histology Department staff of University of Melbourne for preparation of histological slides. We thank Esso Highlands Limited a subsidiary of ExxonMobil for supporting EL for postgraduate training and Benishar Kombut for assistance in statistical analyses.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Ethics approval and consent to participate

All participants have provided written informed consent for participation in the main study. The research was approved by the PNG Institute of Medical Research, the PNG Medical Research Advisory Council, and the Melbourne Health Human Research Ethics Committee, as described earlier [22].

Funding

This study was funded by the Malaria in Pregnancy Consortium, through a grant from the Bill & Melinda Gates Foundation (46099); the Pregvax Consortium, through a grant from the European Union’s Seventh Framework Programme FP7-2007-HEALTH (PREGVAX 201588) and the Spanish Government (EUROSALUD 2008 Programme); and Pfizer Inc., through an investigator-initiated research grant (WS394663). LR was supported by an NHMRC Early Career Fellowship (#1016443). The funders had no role in study design, data collection and analyses; decision to publish or preparation of the manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abbreviations

LBW

low birth weight

PTD

preterm delivery

PNG

Papua New Guinea

IE

infected erythrocytes

PM

placental malaria

PCR

polymerase chain reaction

IUGR

intrauterine growth restriction

IPTp

intermittent preventive treatment in pregnancy

ITN

insecticide-treated bed nets

SP

sulfadoxine/pyrimethamine

AZ

azithromycin

CQ

chloroquine

IMR

Institute of Medical Research

ANC

antenatal clinic

MUAC

mid-upper arm circumference

Contributor Information

Elvin Lufele, Email: elvinlufele@gmail.com.

Alexandra Umbers, Email: alex.umbers@gmail.com.

Jaume Ordi, Email: jordi@clinic.ub.es.

Maria Ome-Kaius, Email: marai.kaius@gmail.com.

Regina Wangnapi, Email: xavierr5@yahoo.com.au.

Holger Unger, Email: holiveoil@gmail.com.

Nandao Tarongka, Email: ntaronka@gmail.com.

Peter Siba, Email: pmaxsiba@gmail.com.

Ivo Mueller, Email: mueller@wehi.edu.au.

Leanne Robinson, Email: leanne.robinson@burnet.edu.au.

Stephen Rogerson, Email: sroger@unimelb.edu.au.

References

  • 1.Dellicour S, Tatem AJ, Guerra CA, Snow RW, ter Kuile FO. Quantifying the number of pregnancies at risk of malaria in 2007: a demographic study. PLoS Med. 2010;7:e1000221. doi: 10.1371/journal.pmed.1000221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Desai M, ter Kuile FO, Nosten F, McGready R, Asamoa K, Brabin B, et al. Epidemiology and burden of malaria in pregnancy. Lancet Infect Dis. 2007;7:93–104. doi: 10.1016/S1473-3099(07)70021-X. [DOI] [PubMed] [Google Scholar]
  • 3.Rogerson SJ, Mwapasa V, Meshnick SR. Malaria in pregnancy: linking immunity and pathogenesis to prevention. Am J Trop Med Hyg. 2007;77(6 Suppl):14–22. [PubMed] [Google Scholar]
  • 4.Steketee RW, Nahlen BL, Parise ME, Menendez C. The burden of malaria in pregnancy in malaria-endemic areas. Am J Trop Med Hyg. 2001;64(1–2 Suppl):28–35. doi: 10.4269/ajtmh.2001.64.28. [DOI] [PubMed] [Google Scholar]
  • 5.Allen SJ, Raiko A, O’Donnell A, Alexander ND, Clegg JB. Causes of preterm delivery and intrauterine growth retardation in a malaria endemic region of Papua New Guinea. Arch Dis Child Fetal Neonatal Ed. 1998;79:F135–F140. doi: 10.1136/fn.79.2.F135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mueller I, Rogerson S, Mola GD, Reeder JC. A review of the current state of malaria among pregnant women in Papua New Guinea. P N G Med J. 2008;51:12–16. [PubMed] [Google Scholar]
  • 7.Stanisic DI, Moore KA, Baiwog F, Ura A, Clapham C, King CL, et al. Risk factors for malaria and adverse birth outcomes in a prospective cohort of pregnant women resident in a high malaria transmission area of Papua New Guinea. Trans R Soc Trop Med Hyg. 2015;109:313–324. doi: 10.1093/trstmh/trv019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Matteelli A, Caligaris S, Castelli F, Carosi G. The placenta and malaria. Ann Trop Med Parasitol. 1997;91:803–810. doi: 10.1080/00034983.1997.11813206. [DOI] [PubMed] [Google Scholar]
  • 9.Rogerson SJ, Hviid L, Duffy PE, Leke RF, Taylor DW. Malaria in pregnancy: pathogenesis and immunity. Lancet Infect Dis. 2007;7:105–117. doi: 10.1016/S1473-3099(07)70022-1. [DOI] [PubMed] [Google Scholar]
  • 10.Brabin BJ, Romagosa C, Abdelgalil S, Menendez C, Verhoeff FH, McGready R, et al. The sick placenta—the role of malaria. Placenta. 2004;25:359–378. doi: 10.1016/j.placenta.2003.10.019. [DOI] [PubMed] [Google Scholar]
  • 11.Rijken MJ, McGready R, Boel ME, Poespoprodjo R, Singh N, Syafruddin D, et al. Malaria in pregnancy in the Asia-Pacific region. Lancet Infect Dis. 2012;12:75–88. doi: 10.1016/S1473-3099(11)70315-2. [DOI] [PubMed] [Google Scholar]
  • 12.Mutabingwa TK, Bolla MC, Li JL, Domingo GJ, Li X, Fried M, et al. Maternal malaria and gravidity interact to modify infant susceptibility to malaria. PLoS Med. 2005;2:e407. doi: 10.1371/journal.pmed.0020407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rasheed FN, Bulmer JN, De Francisco A, Jawla MF, Jakobsen PH, Jepson A, et al. Relationships between maternal malaria and malarial immune responses in mothers and neonates. Parasite Immunol. 1995;17:1–10. doi: 10.1111/j.1365-3024.1995.tb00960.x. [DOI] [PubMed] [Google Scholar]
  • 14.Duffy PE. Maternal immunization and malaria in pregnancy. Vaccine. 2003;21:3358–3361. doi: 10.1016/S0264-410X(03)00332-3. [DOI] [PubMed] [Google Scholar]
  • 15.Umbers AJ, Unger HW, Rosanas-Urgell A, Wangnapi RA, Kattenberg JH, Jally S, et al. Accuracy of an HRP-2/panLDH rapid diagnostic test to detect peripheral and placental Plasmodium falciparum infection in Papua New Guinean women with anaemia or suspected malaria. Malar J. 2015;14:412. doi: 10.1186/s12936-015-0927-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kattenberg JH, Ochodo EA, Boer KR, Schallig HD, Mens PF, Leeflang MM. Systematic review and meta-analysis: rapid diagnostic tests versus placental histology, microscopy and PCR for malaria in pregnant women. Malar J. 2011;10:321. doi: 10.1186/1475-2875-10-321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mayor A, Moro L, Aguilar R, Bardaji A, Cistero P, Serra-Casas E, et al. How hidden can malaria be in pregnant women? Diagnosis by microscopy, placental histology, polymerase chain reaction and detection of histidine-rich protein 2 in plasma. Clin Infect Dis. 2012;54:1561–1568. doi: 10.1093/cid/cis236. [DOI] [PubMed] [Google Scholar]
  • 18.Anchang-Kimbi JK, Achidi EA, Nkegoum B, Sverremark-Ekstrom E, Troye-Blomberg M. Diagnostic comparison of malaria infection in peripheral blood, placental blood and placental biopsies in Cameroonian parturient women. Malar J. 2009;8:126. doi: 10.1186/1475-2875-8-126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Rogerson SJ, Mkundika P, Kanjala MK. Diagnosis of Plasmodium falciparum malaria at delivery: comparison of blood film preparation methods and of blood films with histology. J Clin Microbiol. 2003;41:1370–1374. doi: 10.1128/JCM.41.4.1370-1374.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cottrell G, Moussiliou A, Luty AJ, Cot M, Fievet N, Massougbodji A, Deloron P, et al. Submicroscopic Plasmodium falciparum infections are associated with maternal anemia, premature births, and low birth weight. Clin Infect Dis. 2015;60:1481–1488. doi: 10.1093/cid/civ122. [DOI] [PubMed] [Google Scholar]
  • 21.Muller I, Bockarie M, Alpers M, Smith T. The epidemiology of malaria in Papua New Guinea. Trends Parasitol. 2003;19:253–259. doi: 10.1016/S1471-4922(03)00091-6. [DOI] [PubMed] [Google Scholar]
  • 22.Unger HW, Ome-Kaius M, Wangnapi RA, Umbers AJ, Hanieh S, Suen CS, et al. Sulphadoxine-pyrimethamine plus azithromycin for the prevention of low birthweight in Papua New Guinea: a randomised controlled trial. BMC Med. 2015;13:9. doi: 10.1186/s12916-014-0258-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Laman M, Moore BR, Benjamin J, Padapu N, Tarongka N, Siba P, et al. Comparison of an assumed versus measured leucocyte count in parasite density calculations in Papua New Guinean children with uncomplicated malaria. Malar J. 2004;13:145. doi: 10.1186/1475-2875-13-145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ismail MR, Ordi J, Menendez C, Ventura PJ, Aponte JJ, Kahigwa E, et al. Placental pathology in malaria: a histological, immunohistochemical, and quantitative study. Hum Pathol. 2000;31:85–93. doi: 10.1016/S0046-8177(00)80203-8. [DOI] [PubMed] [Google Scholar]
  • 25.Rogerson SJ, Pollina E, Getachew A, Tadesse E, Lema VM, Molyneux ME. Placental monocyte infiltrates in response to Plasmodium falciparum malaria infection and their association with adverse pregnancy outcomes. Am J Trop Med Hyg. 2003;68:115–119. [PubMed] [Google Scholar]
  • 26.Brabin BJ, Ginny M, Alpers M, Brabin L, Eggelte T, Van der Kaay HJ. Failure of chloroquine prophylaxis for falciparum malaria in pregnant women in Madang, Papua New Guinea. Ann Trop Med Parasitol. 1990;84:1–9. doi: 10.1080/00034983.1990.11812428. [DOI] [PubMed] [Google Scholar]
  • 27.Benet A, Khong TY, Ura A, Samen R, Lorry K, Mellombo M, et al. Placental malaria in women with South-East Asian ovalocytosis. Am J Trop Med Hyg. 2006;75:597–604. [PubMed] [Google Scholar]
  • 28.Hetzel MW, Reimer LJ, Gideon G, Koimbu G, Barnadas C, Makita L, et al. Changes in malaria burden and transmission in sentinel sites after the roll-out of long-lasting insecticidal nets in Papua New Guinea. Parasit Vectors. 2016;9:340. doi: 10.1186/s13071-016-1635-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Tagbor H, Bruce J, Browne E, Greenwood B, Chandramohan D. Malaria in pregnancy in an area of stable and intense transmission: is it asymptomatic? Trop Med Int Health. 2008;13:1016–1021. doi: 10.1111/j.1365-3156.2008.02111.x. [DOI] [PubMed] [Google Scholar]
  • 30.Teo A, Hasang W, Randall LM, Unger HW, Siba PM, Mueller I, et al. Malaria preventive therapy in pregnancy and its potential impact on immunity to malaria in an area of declining transmission. Malar J. 2015;14:215. doi: 10.1186/s12936-015-0736-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Tuikue-Ndam N, Deloron P. Developing vaccines to prevent malaria in pregnant women. Expert Opin Biol Ther. 2015;15:1173–1182. doi: 10.1517/14712598.2015.1049595. [DOI] [PubMed] [Google Scholar]
  • 32.Menendez C, Ordi J, Ismail MR, Ventura PJ, Aponte JJ, Kahigwa E, et al. The impact of placental malaria on gestational age and birth weight. J Infect Dis. 2000;181:1740–1745. doi: 10.1086/315449. [DOI] [PubMed] [Google Scholar]
  • 33.Amoa AB, Lavu E, Ray U, Sapuri M, Kariwiga G, Heywood S. The aetiology of severe anaemia among antenatal patients of the Port Moresby General Hospital. P N G Med J. 2003;46(3–4):143–151. [PubMed] [Google Scholar]
  • 34.Brabin BJ, Ginny M, Sapau J, Galme K, Paino J. Consequences of maternal anaemia on outcome of pregnancy in a malaria endemic area in Papua New Guinea. Ann Trop Med Parasitol. 1990;84:11–24. doi: 10.1080/00034983.1990.11812429. [DOI] [PubMed] [Google Scholar]
  • 35.Unger HW, Ome-Kaius M, Karl S, Singirok D, Siba P, Walker J, et al. Factors associated with ultrasound-aided detection of suboptimal fetal growth in a malaria-endemic area in Papua New Guinea. BMC Pregnancy Childbirth. 2015;15:83. doi: 10.1186/s12884-015-0511-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Brabin BJ. An analysis of malaria in pregnancy in Africa. Bull World Health Organ. 1983;61:1005–1016. [PMC free article] [PubMed] [Google Scholar]
  • 37.Desowitz RS, Alpers MP. Placental Plasmodium falciparum parasitaemia in East Sepik (Papua New Guinea) women of different parity: the apparent absence of acute effects on mother and foetus. Ann Trop Med Parasitol. 1992;86:95–102. doi: 10.1080/00034983.1992.11812638. [DOI] [PubMed] [Google Scholar]
  • 38.Umbers AJ, Aitken EH, Rogerson SJ. Malaria in pregnancy: small babies, big problem. Trends Parasitol. 2011;27:168–175. doi: 10.1016/j.pt.2011.01.007. [DOI] [PubMed] [Google Scholar]
  • 39.Mayor A, Bardaji A, Felger I, King CL, Cistero P, Dobano C, et al. Placental infection with Plasmodium vivax: a histopathological and molecular study. J Infect Dis. 2013;206:1904–1910. doi: 10.1093/infdis/jis614. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analysed during this study are included in this published article.


Articles from Malaria Journal are provided here courtesy of BMC

RESOURCES