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Evaluate the effectiveness of a multi-parametric diagnostic algorithm for severe acute respiratory infections in children under 5.

P-617. Multi-Parametric Diagnostic Algorithm for Early Detection of Severe Acute Respiratory Infections in Children: A Prospective Multi-Center Study in Resource-Limited Settings

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Prospective multi-center study identified respiratory infections in children, reducing treatment delays and healthcare costs.

Evaluate the effectiveness of a multi-parametric diagnostic algorithm for severe acute respiratory infections in children under 5.
Conducted a prospective, multi-center observational study across 12 healthcare facilities in India.
Enrolled 3,240 children aged 3-59 months with respiratory symptoms.
Integrated clinical parameters with point-of-care biomarkers into a mobile app for diagnosis.
Algorithm achieved 92.4% sensitivity and 89.7% specificity for detecting severe infections.
Reduced treatment initiation time from 8.4 to 2.7 hours and decreased unnecessary antibiotic use by 41.6%.
Demonstrated 96.8% proficiency among healthcare workers after training.

Mitra et al. (2026) studied this question.

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