Sulfadoxine/pyrimethamine is recommended for intermittent preventative treatment of malaria during pregnancy. Data from 98 women during pregnancy and 77 after delivery in four African countries were analyzed using nonlinear mixed-effects modeling to characterize the effects of pregnancy, postpartum duration, and other covariates such as body weight and hematocrit on sulfadoxine/pyrimethamine pharmacokinetic properties. During pregnancy, clearance increased 3-fold for sulfadoxine but decreased by 18% for pyrimethamine. Postpartum sulfadoxine clearance decreased gradually over 13 weeks. This finding, together with hematocrit-based scaling of plasma to whole-blood concentrations and allometric scaling of pharmacokinetics parameters with body weight, enabled site-specific differences in the pharmacokinetic profiles to be reduced significantly but not eliminated. Further research is necessary to explain residual site-specific differences and elucidate whether dose-optimization, to address the 3-fold increase in clearance of sulfadoxine in pregnant women, is necessary, viable, and safe with the current fixed dose combination of sulfadoxine/pyrimethamine.
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http://dx.doi.org/10.1002/psp4.12181 | DOI Listing |
Chem Biodivers
January 2025
Universite de Strasbourg, UMR 7200 Laboratoire d'Innovation Thérapeutique, 74 route du Rhin - CS 60024 - 67401 Illkirch Cédex - France, 67400, Illkirch-Graffenstaden, BELGIUM.
Malaria remains a significant public health challenge in Niger, accounting for 5.6% of global malaria-related deaths. Local medicinal plants are frequently used as traditional treatments for malaria, although their efficacy and safety are often insufficiently investigated.
View Article and Find Full Text PDFMalar J
January 2025
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Background: The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.
View Article and Find Full Text PDFMalar J
January 2025
MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Background: The availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.
Methods: This study quantified the monetary value of information provided by entomological data collection for programmatic decision-making using a mathematical model of Plasmodium falciparum transmission.
BMC Pregnancy Childbirth
January 2025
Department of Public Health, College of Health Science, Assosa University, Benishangul-Gumuz region, Assosa Town, Ethiopia.
Background: Adverse birth outcomes are a significant public health problem worldwide, particularly in low- and middle-income countries. Adverse birth outcomes have significant immediate and long-term health consequences for infants and their families. Understanding the determinants of adverse birth outcomes is crucial to effective interventions.
View Article and Find Full Text PDFAccurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effective treatment. While microscopy is still the gold standard in malaria diagnosis, it relies heavily on trained personnel. Artificial intelligence (AI) advances, particularly convolutional neural networks (CNNs), have significantly improved diagnostic capabilities and accuracy by enabling the automated analysis of medical images.
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