Weight for Height z-score (WHZ) and mid-upper arm circumference (MUAC) have been acknowledged as criteria for the diagnosis severe acute malnutrition (SAM) and the targeting of humanitarian nutrition programmes. However, in the absence of a gold standard allowing to understanding their respective diagnosis performances and limits, the statement of their inconsistencies is triggering the urgent need for relevant and practical diagnosis tools to improve the accuracy of SAM diagnosis in humanitarian settings. The project is co-funded by EU Humanitarian Aid.
The diagnosis of children suffering from Severe Acute Malnutrition (SAM): to increase the sensitivity and specificity of diagnostic measures for SAM and identify children who are at highest risk for life-threatening acute and chronic complications.
The solution we want to put in place can be described as novel diagnostic and screening tools relying on the assessment of emerging biomarkers of metabolic deprivation and vulnerability, as a complement or an alternative to anthropometric indicators, for identification, classification, and management of malnourished children in the developing world.
The project is part of a PhD leading to several scientific publications on:
It is with great pride that Action Against Hunger can announce the OptiDiag project’s successful on-the-field data collection in Bangladesh, Burkina Faso and Liberia.View
The D4 assay uses a matched pair of antibodies to detect and capture leptin in a biological sample.View
The team conduct a field test for a diagnostic device that would rapidly test for biomarkers of malnutrition.View
Project innovation featured in Eureka Alert.View
In short, the OptiDiag project is designed to determine how to best diagnose (and subsequently treat) children suffering from severe acute malnutrition (SAM).View
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