In sub-Saharan Africa, children with severe malnutrition (SM) and HIV have substantially worse outcomes than children with SM alone, facing higher mortality risk and impaired nutritional recovery post-hospitalisation. Biological mechanisms underpinning this risk remain incompletely understood. This case-control study nested within the CHAIN cohort in Kenya, Uganda, Malawi, and Burkina Faso examined effect of HIV on six months post-discharge growth among children with SM and those at risk of malnutrition, assessed proteomic signatures associated with HIV in these children, and investigated how these systemic processes impact post-discharge growth in children with SM.
View Article and Find Full Text PDFBackground: Malnutrition and HIV interact in a vicious cycle for HIV-exposed infants (HEIs), increasing vulnerability and the severity of each condition and contributing to poor health outcomes. We identified multi-level factors influencing provider adherence to Kenyan HIV and nutrition guidelines for HEIs.
Methods: We conducted six focus group discussions and seven in-depth interviews using a semi-structured question guide.
Introduction: We used machine learning to identify novel strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit.
Methods: Using data from a randomized trial of azithromycin for watery diarrhea, we developed personalized treatment rules given sets of diagnostic, child, and clinical characteristics, employing a robust ensemble machine learning-based procedure. For each rule, we estimated the proportion treated under the rule and the average benefits of treatment.
J Glob Health
October 2024