Cohort study developed prediction models for febrile children, showing enhanced sensitivity and specificity over WHO criteria.
In resource-constrained community settings, distinguishing which febrile children require referral is a major unmet need. Current WHO danger signs lack accuracy, resulting in missed severe illness and unnecessary referrals. We developed and validated simple clinical prediction models using data from 3,405 children aged 1-59 months presenting with community-acquired acute febrile illnesses to seven hospitals across Bangladesh, Cambodia, Indonesia, Laos, and Viet Nam. Cambodian data were held-out for external validation. All models outperformed WHO criteria to predict progression to severe febrile illness (death or organ support) within two days (sensitivity = 0.56, 95% CI = 0.42-0.69; specificity = 0.83, 95% CI = 0.78-0.87). Incorporating pulse oximetry or the host biomarker sTREM1 further enhanced sensitivity (0.89, 95% CI = 0.79-0.97) vs. clinical features alone (0.75, 95% CI = 0.62-0.86). The pulse oximetry-based model achieved these gains while improving specificity, concomitantly reducing referral rates three-fold. These approaches appear cost-effective and could transform referral practices for febrile children in resource-constrained community settings. They warrant evaluation in randomised controlled trials.
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Chandna et al. (2025) studied this question.
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