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ABSTRACT: Background
Malaria presents with unspecific clinical symptoms that frequently overlap with other infectious diseases and is also a risk factor for coinfections, such as non-Typhi Salmonella. Malaria rapid diagnostic tests are sensitive but unable to distinguish between an acute infection requiring treatment and asymptomatic malaria with a concomitant infection. We set out to test whether cytokine profiles could predict disease status and allow the differentiation between malaria and a bacterial bloodstream infection.Methods
We created a classification model based on cytokine concentration levels of pediatric inpatients with either Plasmodium falciparum malaria or a bacterial bloodstream infection using the Luminex platform. Candidate markers were preselected using classification and regression trees, and the predictive strength was calculated through random forest modeling.Results
Analyses revealed that a combination of 7-15 cytokines exhibited a median disease prediction accuracy of 88% (95th percentile interval, 73%-100%). Haptoglobin, soluble Fas-Ligand, and complement component C2 were the strongest single markers with median prediction accuracies of 82% (with 95th percentile intervals of 71%-94%, 62%-94%, and 62%-94%, respectively).Conclusions
Cytokine profiles possess good median disease prediction accuracy and offer new possibilities for the development of innovative point-of-care tests to guide treatment decisions in malaria-endemic regions.
SUBMITTER: Struck NS
PROVIDER: S-EPMC7075412 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature
Struck Nicole S NS Zimmermann Marlow M Krumkamp Ralf R Lorenz Eva E Jacobs Thomas T Rieger Toni T Wurr Stephanie S Günther Stephan S Gyau Boahen Kennedy K Marks Florian F Sarpong Nimako N Owusu-Dabo Ellis E May Jürgen J Eibach Daniel D
The Journal of infectious diseases 20200301 7
<h4>Background</h4>Malaria presents with unspecific clinical symptoms that frequently overlap with other infectious diseases and is also a risk factor for coinfections, such as non-Typhi Salmonella. Malaria rapid diagnostic tests are sensitive but unable to distinguish between an acute infection requiring treatment and asymptomatic malaria with a concomitant infection. We set out to test whether cytokine profiles could predict disease status and allow the differentiation between malaria and a ba ...[more]