Metabolomic profiling of preterm birth in pregnant women living with HIV.

BACKGROUND: Preterm birth is a leading cause of death in children under the age of five. The risk of preterm birth is increased by maternal HIV infection as well as by certain antiretroviral regimens, leading to a disproportionate burden on low- and medium-income settings where HIV is most prevalent. Despite decades of research, the mechanisms underlying spontaneous preterm birth, particularly in resource limited areas with high HIV infection rates, are still poorly understood and accurate prediction and therapeutic intervention remain elusive. OBJECTIVES: Metabolomics was utilized to identify profiles of preterm birth among pregnant women living with HIV on two different antiretroviral therapy (ART) regimens. METHODS: This pilot study comprised 100 mother-infant dyads prior to antiretroviral initiation, on zidovudine monotherapy or on protease inhibitor-based antiretroviral therapy. Pregnancies that resulted in preterm births were matched 1:1 with controls by gestational age at time of sample collection. Maternal plasma and blood spots at 23-35 weeks gestation and infant dried blood spots at birth, were assayed using an untargeted metabolomics method. Linear regression and random forests classification models were used to identify shared and treatment-specific markers of preterm birth. RESULTS: Classification models for preterm birth achieved accuracies of 95.5%, 95.7%, and 80.7% in the untreated, zidovudine monotherapy, and protease inhibitor-based treatment groups, respectively. Urate, methionine sulfone, cortisone, and 17α-hydroxypregnanolone glucuronide were identified as shared markers of preterm birth. Other compounds including hippurate and N-acetyl-1-methylhistidine were found to be significantly altered in a treatment-specific context. CONCLUSION: This study identified previously known as well as novel metabolomic features of preterm birth in pregnant women living with HIV. Validation of these models in a larger, independent cohort is necessary to ascertain whether they can be utilized to predict preterm birth during a stage of gestation that allows for therapeutic intervention or more effective resource allocation.

Patients and health care workers perceived challenges in managing preeclampsia, in Malawi.

OBJECTIVES: This study investigated perceptions of the challenges for patients and health care workers (HCW) in dealing with preeclampsia in Blantyre, Malawi. METHODS: A descriptive cross-sectional formative study using semi-structured In-Depth Interviews (IDI) was conducted at Queen Elizabeth Central Hospital (QECH), Malawi. Data was analyzed using NVIVO™ software. Thematic content analysis was used to analyze and interpret the findings. Emerging themes were then developed inductively and deductively. Patients were interviewed who recently had preeclampsia. RESULTS: Stress, lack of information, physical symptoms, delay in receiving care were identified challenges to better care among patients as well as the impact of poor pregnancy outcomes. Late diagnosis, staff burn out, inadequate skills and lack of resources were expressed as challenge to provide better management by the interviewed HCWs. CONCLUSION: Our study showed that a diagnosis of preeclampsia is challenging to both patients and HCWs. These challenges need to be addressed carefully at all levels for optimal management of preeclampsia in Malawi, Africa and in order to improve outcomes.

Health care workers and key policy informant's knowledge of the use of calcium and low dose aspirin for prevention of preeclampsia in Malawian women.

OBJECTIVES: This study investigated health care workers and key policy informant's knowledge, and barriers to the use of calcium and aspirin for preventing preeclampsia in Blantyre and Lilongwe, Malawi. METHODS: A descriptive cross-sectional formative study using semi-structured In-Depth Interview (IDIs) was conducted at Queen Elizabeth Central Hospital (QECH), Reproductive Health Directorate, and the United Nations Population Development Fund (UNFPA) Office in 2021. Data was analyzed using NVIVO™ software. Thematic content analysis was used to analyze and interpret the findings. Emerging themes were then developed inductively and deductively. RESULTS: Doctors had greater knowledge of the use of calcium and aspirin for prevention of preeclampsia compared to nurses and key policy informants. Lack of knowledge, patient's late presentation, scarcity of calcium tablets and delays in implementing new guidelines were the barriers to use identified. CONCLUSION: This study shows that there are health care worker and policy level barriers that affect the implementation of calcium and aspirin use for the prevention of preeclampsia in Malawian women.

Lessons learnt from the rapid implementation of reusable personal protective equipment for COVID-19 in Malawi.

The SARS-CoV-2 pandemic has challenged health systems and healthcare workers worldwide. Access to personal protective equipment (PPE) is essential to mitigate the risk of excess mortality in healthcare providers. In Malawi, the cost of PPE represents an additional drain on available resources. In the event of repeated waves of disease over several years, the development of sustainable systems of PPE is essential. We describe the development, early implementation and rapid scale up of a reusable gown service at a tertiary-level hospital in Blantyre, Malawi. Challenges included healthcare worker perceptions around the potential of reduced efficacy of cotton gowns, the need to plan for surge capacity and the need for ongoing training of laundry staff in safety and hygiene procedures. Benefits of the system included increased coverage, decreased cost and reduced waste disposal. The implementation of a reusable cotton gown service is feasible, acceptable and cost-effective in tertiary centres providing specialist COVID-19 care at the height of the pandemic. This innovation could be expanded beyond low-income settings.

Informing prevention of stillbirth and preterm birth in Malawi: development of a minimum dataset for health facilities participating in the DIPLOMATIC collaboration.

OBJECTIVE: The global research group, DIPLOMATIC (Using eviDence, Implementation science, and a clinical trial PLatform to Optimise MATernal and newborn health in low Income Countries), aims to reduce stillbirths and preterm births and optimise outcomes for babies born preterm. Minimum datasets for routine data collection in healthcare facilities participating in DIPLOMATIC (initially in Malawi) were designed to assist understanding of baseline maternal and neonatal care processes and outcomes, and facilitate evaluation of improvement interventions and pragmatic clinical trials. DESIGN: Published and grey literature was reviewed alongside extensive in-country consultation to define relevant clinical best practice guidance, and the existing local data and reporting infrastructure, to identify requirements for the minimum datasets. Data elements were subjected to iterative rounds of consultation with topic experts in Malawi and Scotland, the relevant Malawian professional bodies and the Ministry of Health in Malawi to ensure relevance, validity and feasibility. SETTING: Antenatal, maternity and specialist neonatal care in Malawi. RESULTS: The resulting three minimum datasets cover the maternal and neonatal healthcare journey for antenatal, maternity and specialist neonatal care, with provision for effective linkage of records for mother/baby pairs. They can facilitate consistent, precise recording of relevant outcomes (stillbirths, preterm births, neonatal deaths), risk factors and key care processes. CONCLUSIONS: Poor quality routine data on care processes and outcomes constrain healthcare system improvement. The datasets developed for implementation in DIPLOMATIC partner facilities reflect, and hence support delivery of, internationally agreed best practice for maternal and newborn care in low-income settings. Informed by extensive consultation, they are designed to integrate with existing local data infrastructure and reporting as well as meeting research data needs. This work provides a transferable example of strengthening data infrastructure to underpin a learning healthcare system approach in low-income settings.DIPLOMATIC is funded by the UK National Institute for Health Research.