Risk stratification of childhood infection using host markers of immune and endothelial activation in Asia (Spot

Arjun Chandna1, Constantinos Koshiaris2, Raman Mahajan3

  • 1Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.

Insights

A novel biomarker, soluble TREM1 (sTREM1), accurately predicts severe febrile illness in children in low-resource Asian settings. This finding supports developing sTREM1-based triage strategies for early risk identification and improved outcomes.

Area of Science:

  • Pediatric infectious diseases
  • Biomarker discovery
  • Global health

Background:

  • Prognostic tools for febrile illnesses are crucial in resource-limited community settings.
  • Immune and endothelial activation markers can stratify risk in childhood infections.
  • This study assessed these markers in children with febrile illness in rural Asia.

Purpose of the Study:

  • To evaluate the prognostic accuracy of various biomarkers and clinical scores in identifying severe febrile illness in children.
  • To compare the performance of immune and endothelial activation markers against established clinical criteria.

Main Methods:

  • Prospective cohort study (Spot Sepsis) in seven Asian hospitals involving children aged 1-59 months with acute febrile illness.
  • Measured concentrations of immune and endothelial activation markers, WHO danger signs, LqSOFA, and SIRS scores.
  • Compared prognostic accuracy using weighted AUC, logistic regression, and NNT.

Main Results:

  • 3423 children were recruited; 3.9% developed severe febrile illness.
  • Soluble TREM1 (sTREM1) demonstrated the highest prognostic accuracy (AUC 0.86), outperforming WHO danger signs, LqSOFA, and SIRS.
  • Combining WHO danger signs with sTREM1 did not improve accuracy over sTREM1 alone.

Conclusions:

  • sTREM1 exhibits superior prognostic accuracy for identifying children at risk of severe febrile illness.
  • An sTREM1-based triage strategy could enhance early recognition of poor outcomes in resource-constrained settings.
Abstract