Group | Management of Fevers
Causes of Fever
Deployment of malaria diagnostic tests should go hand-in-hand with providing evidence-based guidelines for the management of the ‘negative syndrome’ – that is, detecting other causes of fever when the malaria test is negative. A first important step is to understand causes of acute febrile episodes, which is the subject of our research on fever etiology.
Interactive Electronic Decision Support Tools
Treating patients with fever in primary care can be challenging for health workers; adequate diagnostics and disease management tools are often lacking. We seek to support the current IMCI strategy through increasing the evidence base on the diagnosis and management of common infections and through the development and validation of novel, integrated disease management tools. This includes electronic, smartphone-based, decision trees.
Host biomarkers are promising tools to improve care for patients with fever; examples include oxygen saturation or hemoglobin to detect patients with severe disease requiring hospital referral, and C-reactive protein or procalcitonin to identify patients in need for antibiotic treatment. We seek to integrate existing host biomarkers point-of-care tests into innovative disease management tools, and to evaluate their use in the tropical primary care setting. We also aim at identifying novel host biomarkers that can help manage patients with infections.
Latest PublicationsAll Publications
D'Acremont V et al. Beyond malaria: causes of fever in outpatient Tanzanian children. N Engl J Med. 2014;370(9):809-817. DOI: 10.1056/NEJMoa1214482
Keitel K et al. A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): a randomized, controlled non-inferiority trial. PLoS Med. 2017;14(10):e1002411. DOI: 10.1371/journal.pmed.1002411
Rambaud-Althaus C, Shao A.F, Kahama-Maro J, Genton B, D'Acremont V. Managing the sick child in the era of declining malaria transmission: development of ALMANACH, an electronic algorithm for appropriate use of antimicrobials. PLoS One. 2015;10(7):e0127674. DOI: 10.1371/journal.pone.0127674
Erdman L.K et al. Biomarkers of host response predict primary end-point radiological pneumonia in Tanzanian children with clinical pneumonia: a prospective cohort study. PLoS One. 2015;10(9):e0137592. DOI: 10.1371/journal.pone.0137592
Shao A.F et al. New algorithm for managing childhood illness using mobile technology (ALMANACH): a controlled non-inferiority study on clinical outcome and antibiotic use in Tanzania. PLoS One. 2015;10(7):e0132316. DOI: 10.1371/journal.pone.0132316