Researchers have developed new clinical prediction models that accurately differentiate between mild, moderate, and severe pneumonia in children. The findings, published in The Lancet Child & Adolescent Health, are based on a study conducted across 73 Emergency Departments in 14 countries, coordinated by the international Pediatric Emergency Research Network (PERN).
Community-acquired pneumonia is one of the most common infections in children globally and a leading cause of hospitalization in the U.S. Although most cases are mild, about 5% become severe, leading to complications. The new models aim to help clinicians quickly identify which children are at greater risk and require more intensive care, and which can safely recover at home.
The study analyzed data from over 2,200 children aged 3 months to 14 years who presented to emergency departments with pneumonia. Researchers identified key indicators associated with illness severity, such as refusal to drink, abdominal pain, prior antibiotic use, labored breathing, high respiratory or heart rate, and low blood oxygen levels.
Interestingly, children with symptoms like runny nose and congestion were more likely to have a mild illness. These insights allow for more precise care decisions, potentially reducing unnecessary hospitalizations and treatments.
Lead author Dr. Todd Florin emphasized the importance of early identification of at-risk patients to prevent deterioration. Co-author Dr. Nathan Kuppermann noted that these models offer a practical, data-driven tool to improve pediatric pneumonia care worldwide.
Once externally validated, these evidence-based models could significantly enhance clinical decision-making and patient outcomes in pediatric emergency settings.
Article written by Lurie Childrens Hospital Team
15/05/2025
Source:
Lurie Childrens Hospital