AI Article Synopsis

  • A study investigated the use of neopterin, a marker for immune activation, to assess its effectiveness in predicting outcomes for children with severe malaria in Benin.
  • While neopterin levels did not significantly differ among various severe malaria types, higher levels were linked to severe malarial anemia and associated with mortality risk.
  • The analysis showed that neopterin levels could serve as a potential biomarker for predicting fatality in patients suffering from severe falciparum malaria, with a promising accuracy indicated by the AUC-ROC value of 0.77.

Article Abstract

Among the barriers to accessing adequate treatment and high-level monitoring for malaria febrile patients is the lack of effective prognostic markers. Neopterin, which is a marker of monocyte/macrophage activation, was found have increased during severe malaria. In this study, we used quantitative ELISA in order to assess the levels of plasma soluble neopterin in 151 patients from a cohort of Beninese children with severe malaria. We evaluated the prognostic accuracy of this molecule in order to predict the outcome of the disease. Our results show that neopterin levels were not significantly different between patients with different forms of severe malaria, including severe non-cerebral malaria (SNCM) and cerebral malaria (CM). However, the levels of this molecule were found to be higher in patients with severe malarial anemia (SMA) among both CM and SNCM cases (-value = 0.02). Additionally, the levels of this molecule were found to be higher in patients who died from these pathologies compared to those who survived among the two clinical groups (-value < 0.0001) and within the same group (-value < 0.0001 for the CM group, -value = 0.0046 for the SNCM group). The AUC-ROC for fatality among all the severe cases was 0.77 with a 95%CI of (0.69-0.85). These results suggest that plasma neopterin levels constitute a potential biomarker for predicting fatality among severe falciparum malaria patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914932PMC
http://dx.doi.org/10.3390/diagnostics13030528DOI Listing

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