Infant sex modifies associations between placental malaria and risk of malaria in infancy

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Study Justification:
This study aimed to investigate the association between placental malaria (PM) and the risk of malaria in infancy, and whether this association is influenced by the sex of the infant. The study also examined whether intermittent preventive treatment in pregnancy (IPTp) can reduce infant malaria by preventing PM. Understanding these relationships is important for developing effective interventions to reduce malaria in infants.
Highlights:
– The study analyzed data from a birth cohort of 656 infants born to HIV-uninfected mothers enrolled in a randomized controlled trial of IPTp with dihydroartemisinin-piperaquine (DP) or Sulfadoxine-pyrimethamine (SP).
– The incidence of malaria was higher among infants born to mothers with active PM or severe past PM, but the differences were not statistically significant compared to infants born to mothers with no PM.
– However, when stratifying by infant sex, severe past PM was associated with a higher malaria incidence in male infants but not in female infants.
– Male infants born to mothers given IPTp with DP had significantly less malaria in infancy than males born to mothers given SP, and 89.7% of this effect was mediated through prevention of PM.
– The study suggests that PM may have more severe consequences for male infants, and interventions that reduce PM could mitigate these sex-specific adverse outcomes.
Recommendations:
– Further research is needed to better understand the sex-bias between PM and infant malaria risk.
– Interventions should be developed to reduce PM in order to decrease the risk of malaria in male infants.
Key Role Players:
– Researchers and scientists specializing in malaria and maternal health
– Public health officials and policymakers
– Healthcare providers and clinics
– Non-governmental organizations (NGOs) working in malaria prevention and maternal health
Cost Items for Planning Recommendations:
– Research funding for further studies on the sex-specific effects of PM on infant malaria risk
– Funding for the development and implementation of interventions to reduce PM, such as improved IPTp strategies
– Resources for training healthcare providers on the importance of PM prevention and its impact on infant health
– Budget for public health campaigns and educational materials to raise awareness among pregnant women and their communities about the risks of PM and the importance of prevention

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is a randomized controlled trial, which is a strong design for establishing causal relationships. The sample size is relatively large with 656 infants. The analysis includes statistical adjustments for potential confounders. However, the associations between placental malaria and infant malaria incidence were not statistically significant, which weakens the evidence. To improve the strength of the evidence, further research could be conducted with a larger sample size to increase statistical power. Additionally, conducting a meta-analysis of multiple studies on this topic could provide more robust evidence.

Background: Placental malaria (PM) has been associated with a higher risk of malaria during infancy. However, it is unclear whether this association is causal, and is modified by infant sex, and whether intermittent preventive treatment in pregnancy (IPTp) can reduce infant malaria by preventing PM. Methods: Data from a birth cohort of 656 infants born to HIV-uninfected mothers randomised to IPTp with dihydroartemisinin–piperaquine (DP) or Sulfadoxine–pyrimethamine (SP) was analysed. PM was categorized as no PM, active PM (presence of parasites), mild-moderate past PM (> 0–20% high powered fields [HPFs] with pigment), or severe past PM (> 20% HPFs with pigment). The association between PM and incidence of malaria in infants stratified by infant sex was examined. Causal mediation analysis was used to test whether IPTp can impact infant malaria incidence via preventing PM. Results: There were 1088 malaria episodes diagnosed among infants during 596.6 person years of follow-up. Compared to infants born to mothers with no PM, the incidence of malaria was higher among infants born to mothers with active PM (adjusted incidence rate ratio [aIRR] 1.30, 95% CI 1.00–1.71, p = 0.05) and those born to mothers with severe past PM (aIRR 1.28, 95% CI 0.89–1.83, p = 0.18), but the differences were not statistically significant. However, when stratifying by infant sex, compared to no PM, severe past PM was associated a higher malaria incidence in male (aIRR 2.17, 95% CI 1.45–3.25, p < 0.001), but not female infants (aIRR 0.74, 95% CI 0.46–1.20, p = 0.22). There were no significant associations between active PM or mild-moderate past PM and malaria incidence in male or female infants. Male infants born to mothers given IPTp with DP had significantly less malaria in infancy than males born to mothers given SP, and 89.7% of this effect was mediated through prevention of PM. Conclusion: PM may have more severe consequences for male infants, and interventions which reduce PM could mitigate these sex-specific adverse outcomes. More research is needed to better understand this sex-bias between PM and infant malaria risk. Trial registration ClinicalTrials.gov, NCT02793622. Registered 8 June 2016, https://clinicaltrials.gov/ct2/show/NCT02793622.

Data were collected from a birth cohort of infants born to HIV-uninfected pregnant women enrolled in a randomised controlled trial of monthly IPTp with DP vs SP (Trial registration, ClinicalTrials.gov; {"type":"clinical-trial","attrs":{"text":"NCT02793622","term_id":"NCT02793622"}}NCT02793622) conducted in Busia district, Uganda, an area of perennial high malaria transmission intensity. Details of the study have been previously reported [5, 16, 17]. Pregnant women were enrolled at 12-20 weeks of gestation and followed through delivery. At delivery, placental blood and tissue samples were collected. Following delivery, all live births were followed up to 12 months of age. Mothers were encouraged to bring their infants to a dedicated study clinic open every day for all their medical care. Routine assessments were conducted every 4 weeks for clinical assessment and collection of blood smears for the detection of parasites by microscopy. Infants presenting with a history of fever in the past 24 h or a documented tympanic temperature ≥ 38.0 °C had a thick blood smear collected for detection of malaria parasites and those diagnosed with malaria were treated according to the Uganda Ministry of Health guidelines. Non-malarial illnesses were treated according to the integrated management of childhood illnesses guidelines. At 12, 28, and 52 weeks of age, blood was collected for haemoglobin measurement. Thick blood smears were stained with 2% Giemsa and read by microscopists [5]. Haemoglobin measurements were made using a spectrophotometer (Hemocue, Angelholm, Sweden). Malaria parasites were detected in placental blood by microscopy and loop-mediated isothermal amplification (LAMP) [18]. Placental biopsy specimens were embedded in paraffin wax, sectioned using a rotary microtome, fixed on glass slides, and dehydrated in sequential ethanol baths [19]. Separate slides were stained in 0.1% haematoxylin and 1% eosin for 5 and 1 min, respectively, or in 2% Giemsa for 30 min and examined for presence of intervillous parasite-infected erythrocytes and malaria pigment by two independent readers. The proportion of high-power fields (HPF) with malaria pigment deposition in fibrin was analysed as described [20]. The primary outcome was the incidence of malaria from birth to 12 months of age. An incident episode of malaria was defined as the presence of fever (history of fever in the past 24 h or a tympanic temperature ≥ 38·0 °C) with a positive thick blood smear not preceded by another malaria episode in the last 14 days. Secondary outcomes included time to first episode of malaria; incidence of complicated malaria (malaria with danger signs or meeting standardized criteria for severe malaria), all-cause hospitalizations; and non-malarial febrile illnesses; prevalence of malaria parasitaemia during routine visits and anaemia (haemoglobin  0–20% HPFs with pigment without parasites); or severe past PM (> 20% HPFs with pigment without parasites). Analyses were stratified by infant sex a priori. Associations between PM and the incidence of malaria were performed using negative binomial regression and adjusted for maternal parasitaemia status at enrollment, IPTp arm, gravidity, housing construction type, and clustering for twin gestation. The cumulative risk of any first episode of malaria was compared using a Cox proportional hazards model. For secondary outcomes, incident and repeated prevalence measures were compared using negative binomial regression model and generalized estimating equations with robust standard errors, respectively. Mediation analysis, using inverse odds weighting (IOW) [22], was used to estimate what proportion of the reported effect between maternal IPTp regimen and malaria incidence in infants [16] was mediated through preventing PM (Additional file 1). In brief, three models were used to conduct IOW mediation analyses. The first model used logistic regression to model treatment given mediator (PM) and mediator-outcome confounders. Predicted probabilities obtained from this model were then used to calculate treatment IOWs for each mother-infant pair. The second and third models used negative binomial regression to model the outcome given treatment with and without weights, respectively. The treatment coefficient from the model with weights estimated the direct effect, which was then subtracted from the treatment coefficient of the model without weights (total effect) to estimate the mediated effect. Bias-corrected 95% confidence intervals (CIs) were computed using bootstrapping. The proportion mediated by PM was calculated by dividing the mediated effect by the total effect. In all analyses, p-values of < 0·05 were considered statistically significant.

Based on the provided information, it appears that the study focuses on the association between placental malaria (PM) and the risk of malaria in infants, specifically examining the potential impact of infant sex and intermittent preventive treatment in pregnancy (IPTp) on this association. The study collected data from a birth cohort of infants born to HIV-uninfected pregnant women enrolled in a randomized controlled trial of monthly IPTp with dihydroartemisinin-piperaquine (DP) vs sulfadoxine-pyrimethamine (SP) in Busia district, Uganda. The primary outcome was the incidence of malaria from birth to 12 months of age, and secondary outcomes included time to first episode of malaria, incidence of complicated malaria, all-cause hospitalizations, non-malarial febrile illnesses, prevalence of malaria parasitemia, anemia, and infant mortality. The study utilized various methods such as microscopy, loop-mediated isothermal amplification (LAMP), and histology to detect malaria parasites and pigment in placental blood and tissue samples. Statistical analyses were conducted using Stata software, and associations between PM and the incidence of malaria were evaluated using negative binomial regression, adjusting for various factors. Additionally, causal mediation analysis was performed to estimate the proportion of the effect between maternal IPTp regimen and malaria incidence in infants that was mediated through preventing PM. The study found that PM may have more severe consequences for male infants, and interventions that reduce PM could mitigate these sex-specific adverse outcomes. However, more research is needed to better understand the sex-bias between PM and infant malaria risk.
AI Innovations Description
The study mentioned in the description explores the association between placental malaria (PM) and the risk of malaria in infants, with a focus on how this association may be modified by infant sex. The researchers also investigate whether intermittent preventive treatment in pregnancy (IPTp) can reduce infant malaria by preventing PM.

The study was conducted in Busia district, Uganda, an area with high malaria transmission intensity. Data was collected from a birth cohort of infants born to HIV-uninfected pregnant women who were enrolled in a randomized controlled trial of monthly IPTp with dihydroartemisinin-piperaquine (DP) vs Sulfadoxine-pyrimethamine (SP).

The primary outcome of the study was the incidence of malaria from birth to 12 months of age. Secondary outcomes included time to first episode of malaria, incidence of complicated malaria, all-cause hospitalizations, non-malarial febrile illnesses, prevalence of malaria parasitemia, anemia, and infant mortality.

The results of the study showed that compared to infants born to mothers with no PM, the incidence of malaria was higher among infants born to mothers with active PM or severe past PM, although these differences were not statistically significant. However, when stratifying by infant sex, severe past PM was associated with a higher malaria incidence in male infants, but not in female infants.

Furthermore, male infants born to mothers given IPTp with DP had significantly less malaria in infancy than males born to mothers given SP, and a large proportion of this effect was mediated through the prevention of PM.

The study suggests that PM may have more severe consequences for male infants, and interventions that reduce PM could mitigate these sex-specific adverse outcomes. Further research is needed to better understand the relationship between PM and infant malaria risk.

Based on these findings, a recommendation to improve access to maternal health and reduce infant malaria could be to implement and promote the use of IPTp with DP for pregnant women in malaria-endemic areas. This intervention has shown potential in reducing the incidence of malaria in male infants by preventing PM.
AI Innovations Methodology
The study mentioned in the description explores the association between placental malaria (PM) and the risk of malaria in infants, specifically examining if this association is modified by infant sex. The study also investigates whether intermittent preventive treatment in pregnancy (IPTp) can reduce infant malaria by preventing PM.

To simulate the impact of recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Identify the recommendations: Based on the findings of the study, potential recommendations could include:
– Increasing access to IPTp with dihydroartemisinin-piperaquine (DP) for pregnant women.
– Implementing targeted interventions for male infants born to mothers with severe past PM.

2. Define the simulation model: Develop a mathematical model that represents the dynamics of maternal health access and the impact of the recommendations. This model should consider factors such as population demographics, healthcare infrastructure, availability of resources, and the effectiveness of the interventions.

3. Collect relevant data: Gather data on the current state of maternal health access, including information on the prevalence of PM, IPTp coverage, and infant malaria incidence. Additionally, collect data on the potential impact of the recommendations, such as the effectiveness of DP in preventing PM and reducing infant malaria.

4. Parameterize the model: Use the collected data to estimate the parameters of the simulation model. This may involve determining the probability of accessing IPTp, the effectiveness of DP in preventing PM, and the reduction in infant malaria incidence associated with the recommendations.

5. Run simulations: Use the parameterized model to simulate different scenarios, such as increasing IPTp coverage, implementing targeted interventions for male infants, or a combination of both. Simulate the impact of these scenarios on improving access to maternal health, specifically in terms of reducing PM and infant malaria incidence.

6. Analyze results: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. Evaluate the effectiveness of each recommendation individually and in combination. Consider factors such as the reduction in PM, the decrease in infant malaria incidence, and any potential disparities in access or outcomes based on infant sex.

7. Validate and refine the model: Compare the simulation results with real-world data to validate the model’s accuracy. If necessary, refine the model by adjusting parameters or incorporating additional factors that may influence access to maternal health.

By following this methodology, researchers and policymakers can gain insights into the potential impact of different recommendations on improving access to maternal health and reducing the risk of malaria in infants. This information can guide decision-making and the development of effective interventions.

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