Placental impression smears is a good indicator of placental malaria in sub-saharan Africa

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Study Justification:
– Placental malaria (PM) is a significant factor in infant morbidity and mortality in sub-Saharan Africa.
– Placental histology is the gold standard for diagnosing PM, but placental impression smears are widely used in epidemiological studies.
– This study aims to evaluate the performance of placental impression smears in detecting PM in pregnant women in southern Benin.
Highlights:
– The study analyzed data from 491 pregnant women in the district of Allada, Southern Benin.
– Placental malaria was detected in 11.4% of cases using placental impression smears and 10.8% using placental histology.
– Placental impression smears showed a sensitivity of 90.6% and specificity of 98.4% in detecting PM.
– The positive predictive value of placental impression smears was 87.3% and the negative predictive value was 98.8%.
– The study concludes that placental impression smears are an accurate and easy method for diagnosing placental malaria.
Recommendations:
– Placental impression smears can be used as a reliable diagnostic tool for placental malaria in sub-Saharan Africa.
– Further research should be conducted to validate the findings in different populations and settings.
– Health policies should consider integrating placental impression smears into routine antenatal care to improve the detection and management of placental malaria.
Key Role Players:
– Researchers and scientists in the field of malaria and maternal health.
– Health policymakers and program managers.
– Healthcare providers, including obstetricians and midwives.
– Laboratory technicians trained in placental impression smears.
Cost Items for Planning Recommendations:
– Training programs for healthcare providers and laboratory technicians on placental impression smears.
– Procurement of necessary equipment and supplies for conducting placental impression smears.
– Development and implementation of guidelines and protocols for integrating placental impression smears into routine antenatal care.
– Monitoring and evaluation activities to assess the impact and effectiveness of using placental impression smears in diagnosing placental malaria.

Introduction: placental malaria (PM) is an important predictor of infant morbidity and mortality in sub-Saharan Africa. Although placental histology is the gold standard test to diagnose PM, the placenta impression smears remains widely used in epidemiological studies. This study is set to evaluate the performance of placental impression smears to detect PM in pregnant women in southern Benin. Methods: a cross-sectional analysis was performed on data collected in the framework a multicenter randomized clinical trial (Mal aria in Pregnancy Preventive and Alternative Drugs). Samples from 491 pregnant women were examined in the district of Allada, Southern Benin. Plasmodium falciparum infections have been assessed in placental blood and placental biopsy. Results: placental malaria detected by placenta impression smears and histology were prevalent in 11.4% and 10.8%, respectively. Sensitivity and specificity of placental impression smears were 90.6% and 98.4%. Among 55 pregnant women tested positive by placenta impression smears, 48 were positive by the histology, while 7 were negative (positive predictive value: 87.3%). Four hundred and twenty four (424) of the 429 tested negative by the placenta impression smears, were also negative according to histology whereas the rest (5 of 429) of the women were positive (negative predictive value: 98.8%). Conclusion: placenta impression smear is an accurate and easy method for the diagnosis of placental malaria.

Study design: a cross sectional analysis of data collected on four hundred and ninety-one pregnant women between January 2010 and May 2012 has been performed. Pregnant women were followed-up from the first antenatal clinical (ANC1) visit until the time of delivery. Study site, population and procedures: the study site, population and procedure have been described elsewhere [14,15]. Briefly, the study was conducted in three maternity clinics (Allada, Attogon and Sékou) in the district of Allada, a semi-rural area located 50 km north of Cotonou, the economic capital of Benin. Allada district is characterized by a subtropical climate and malaria is hyperendemic with an average of 20.5 infected anopheles/person/year. Plasmodium falciparum: is the predominant species transmitted (97%). The study population was composed of HIV-negative pregnant women residing in the district of Allada. During the study, socio-demographic (age, parity, marital status, education level), clinical (gestational age, weight, height) and biological (blood smear, haemoglobin level) data were collected. Two doses of IPTp (1500/75 mg SP per dose or 15 mg/kg MQ per dose) were administered throughout ANC visits. The second dose of IPTp was given at least of 1 month apart from the administration of the first dose. At enrolment, each woman received a LLITN and their use was assessed at each ANC visit. Clinical malaria episodes were treated with oral quinine or artemether-lumefantrine in the first and subsequent trimesters, respectively, for uncomplicated malaria, and with parental quinine for severe malaria. At delivery, women’s peripheral blood, cord blood, and placenta (biopsy and impression smears) samples were collected for hematological and parasitological evaluation. Laboratory methods: thick and thin blood films were stained and read for Plasmodium species detection according to standard quality-control procedures [16]. Tissue samples were collected from the maternal side of the placenta and placed into 10% neutral buffered formalin. Biopsies were processed, stained, and examined following standard procedures [17]. Impression smears from the placenta blood were stained with Giemsa and read following a standardized protocol [18,19]. Placental impression smears: a 2.5 x 2.5 cm3 sample from the selected placenta area was cut. The sample included the thickness of tissue from the maternal to the fetal side limited by the fetal membranes. One of the internal faces of sample was carefully put into contact with the slide, on the closest location to the identification area of slide. Then, the placental section was dry with a small piece of filter paper. One of the faces of the dried placental section was put into contact with the slide, on the most distal location to the identification area in the slide. The same procedure was repeated on a second slide. Placental histology: the 2.5 x 2.5 cm3 sample collected for placental impression smears was immediately put in a 50 ml of 10% buffered formalin container. This container was stored in a 4°C fridge until the placental tissue is processed at the department of pathology of the faculty of Medicine of the University of Abomey Calavi. The maximum of fixation was of 5 days. PM was characterized using the classification of Bulmer et al. [20]: uninfected (no parasites or pigment), acute (Figure 1, parasites in intervillous spaces), chronic (Figure 2, parasites in maternal erythrocytes and pigment in fibrin or cells within fibrin and/or chorionic villous syncytiotrophoblast or stroma), past (Figure 3, no parasites and pigment confined to fibrin or cells within fibrin). In this analysis, the chronic and active malaria infections have been taking into account to compared placental impression smears and histology. Each placenta impression smear was independently examined by two technicians. In case of discordances, a third reading was required. Placental histology was examined without knowledge of the placental impression and peripheral blood smears results. In addition, an external quality control was made on 100% of positive slide and 10% of negative slide in reference laboratory at Barcelona Centre for International Health Research (CRESIB), Hospital Clínic Universitat de Barcelona. Placental tissue with active malaria infection †(by histology) Placental tissue with chronic malaria infection †(by histology) Placental tissue with past malaria infection †(By histology) Ethical considerations: this study was approved by the Ethics Committee of the Faculty of Medicine of Cotonou in Benin. Before each inclusion, all participants involved in the study provided their written informed consent. In case the woman could not read, an impartial witness was involved in the process. Statistical analysis: data were double-entered into Microsoft Access 2003 database and analyzed with Stata 12.0 Software for Windows. Sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), positive and negative likelihood ratio (LH ±) were calculated to determine the accuracy diagnosis of placental impression smears vs. placental histology. Sensibility was calculated as true positives / (true positives + false negatives), Sp as true negatives / (true negatives + false positives), PPV as true positives / (true positives + false positives), NPV as true negatives / (true negatives + false negatives) [21].

Based on the information provided, here are some potential innovations that could be used to improve access to maternal health:

1. Mobile health (mHealth) technology: Develop a mobile application that allows healthcare providers to easily capture and analyze placental impression smear data in real-time. This would enable faster and more accurate diagnosis of placental malaria, leading to timely treatment and improved maternal health outcomes.

2. Point-of-care testing: Develop a portable and user-friendly device that can quickly analyze placental impression smears on-site, eliminating the need for samples to be sent to a laboratory for analysis. This would reduce turnaround time and improve access to timely diagnosis and treatment.

3. Telemedicine: Implement telemedicine platforms that allow healthcare providers in remote areas to consult with specialists for guidance on interpreting placental impression smear results. This would help improve accuracy and ensure that women in underserved areas receive appropriate care.

4. Training and capacity building: Develop training programs and resources for healthcare providers on the proper collection and interpretation of placental impression smears. This would help improve the quality of testing and ensure consistent and accurate results.

5. Community outreach and education: Implement community-based programs to raise awareness about the importance of placental health and the role of placental impression smears in diagnosing placental malaria. This would help increase demand for testing and improve access to maternal health services.

It’s important to note that these are just potential recommendations based on the information provided. Further research and evaluation would be needed to determine the feasibility and effectiveness of these innovations in improving access to maternal health.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health is to promote the use of placental impression smears as a diagnostic tool for placental malaria in sub-Saharan Africa. This method has been shown to be accurate and easy to use, with a sensitivity of 90.6% and a specificity of 98.4%. It can be used in epidemiological studies to detect placental malaria, which is an important predictor of infant morbidity and mortality in the region. By implementing this recommendation, healthcare providers can improve the diagnosis and treatment of placental malaria, ultimately improving maternal and infant health outcomes.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Mobile clinics: Implementing mobile clinics that travel to remote areas can provide access to maternal health services for women who are unable to travel to healthcare facilities. These clinics can offer prenatal care, screenings, and education on maternal health.

2. Telemedicine: Utilizing telemedicine technology can connect pregnant women in remote areas with healthcare professionals who can provide virtual consultations, monitor their health, and offer guidance throughout their pregnancy.

3. Community health workers: Training and deploying community health workers can help improve access to maternal health services in underserved areas. These workers can provide basic prenatal care, education, and referrals to healthcare facilities when necessary.

4. Maternal health vouchers: Introducing maternal health vouchers can help reduce financial barriers to accessing maternal health services. These vouchers can be distributed to pregnant women, allowing them to receive essential care and services at healthcare facilities free of charge or at a reduced cost.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that will be impacted by the recommendations, such as pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current access to maternal health services in the target population, including factors such as distance to healthcare facilities, availability of services, and utilization rates.

3. Implement the recommendations: Introduce the recommended interventions, such as mobile clinics, telemedicine, community health workers, or maternal health vouchers, in the target population.

4. Monitor and collect data: Continuously monitor the implementation of the interventions and collect data on key indicators, such as the number of pregnant women accessing services, changes in utilization rates, and improvements in health outcomes.

5. Analyze the data: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. This can include comparing pre- and post-intervention data, conducting statistical analyses, and evaluating changes in key indicators.

6. Draw conclusions and make recommendations: Based on the analysis of the data, draw conclusions about the effectiveness of the interventions in improving access to maternal health. Identify any challenges or barriers that may have been encountered and make recommendations for further improvements or adjustments to the interventions.

7. Disseminate findings: Share the findings of the simulation study with relevant stakeholders, such as policymakers, healthcare providers, and community members, to inform decision-making and potential scale-up of the interventions.

By following this methodology, it is possible to simulate the impact of the recommended interventions on improving access to maternal health and make evidence-based decisions for future implementation.

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