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Predicting referral need for febrile children in low-resource community settings in South and Southeast Asia.

Nature medicine2026-05-01PubMed
Total: 84.5Innovation: 8Impact: 0Rigor: 0Citation: 0

Summary

Across five Asian countries, simple clinical models for febrile children outperformed WHO danger signs for predicting severe disease within 2 days. Adding pulse oximetry or sTREM1 further increased sensitivity to ~89% while reducing referral rates threefold, with favorable cost-effectiveness.

Key Findings

  • A simple clinical-parameter model achieved sensitivity 74.7% and specificity 99.1%, outperforming WHO danger signs (sensitivity 55.5%, specificity 82.6%).
  • Adding pulse oximetry or sTREM1 increased sensitivity to 88.9% and 89.2%, respectively, with a threefold reduction in referral rates.
  • Cost-effectiveness favored pulse oximetry (ICER $26.28) and sTREM1 (ICER $196.46), supporting scalable implementation.

Clinical Implications

Implementing pulse oximetry–enhanced triage algorithms can reduce unnecessary referrals while improving early identification of children needing organ support, informing community-level sepsis pathways.

Why It Matters

This study provides externally validated, cost-effective triage tools that could reshape referral decisions for suspected severe infections, including sepsis, in low-resource settings.

Limitations

  • Hospital-based enrollment may limit generalizability to true community settings
  • Biomarker availability (sTREM1) and implementation logistics require feasibility testing

Future Directions

Prospective community trials to assess real-world impact on mortality, referral workflows, and antimicrobial stewardship; head-to-head implementation comparing pulse oximetry versus biomarker-augmented pathways.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
III - Multi-center derivation–validation cohort with external validation; observational design
Study Design
OTHER