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Background <p>Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality in the pediatric population worldwide. Establishing a definitive etiological diagnosis in children with CAP remains challenging, as clinical, laboratory, and radiologic findings are often insufficient. Consequently, empirical and frequently unnecessary antibiotic treatments are commonly prescribed.</p> Main body <p>Lung ultrasound (LUS) has demonstrated diagnostic accuracy comparable to chest X-ray (CXR) for CAP, while eliminating radiation exposure. Emerging evidence suggests that LUS may also differentiate the underlying etiologies of CAP. Assuming that distinct CAP etiologies exhibit characteristic LUS features, we aim to design a study protocol to develop a predictive model that integrates a child’s clinical information with their specific LUS patterns to inform individualized treatment strategies.</p> Conclusions <p>This clinical approach will comprehensively evaluate clinical, laboratory, LUS, and outcome data from pediatric patients with CAP of various causes. If more centers will use the same approach, this will allow to gather in the short time data from large and diverse cohorts to facilitate the optimization and understanding of how LUS can potentially help understanding the etiology of CAP. The integrated data will be used to support tailored management strategies for pediatric CAP.</p>

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An international standardization to study the clinical use of lung ultrasound to discriminate viral, bacterial and atypical pneumonia in children with community acquired pneumonia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月24日

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  • Lorenzo Di Sarno,
  • Mariantonietta Francavilla,
  • Azzurra Orlandi,
  • Rosa Morello,
  • Cristina De Rose,
  • Luca Tagliaferri,
  • Anna Clemente,
  • Maria Chiara Supino,
  • Anna Maria Musolino,
  • Danilo Buonsenso

摘要

Background

Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality in the pediatric population worldwide. Establishing a definitive etiological diagnosis in children with CAP remains challenging, as clinical, laboratory, and radiologic findings are often insufficient. Consequently, empirical and frequently unnecessary antibiotic treatments are commonly prescribed.

Main body

Lung ultrasound (LUS) has demonstrated diagnostic accuracy comparable to chest X-ray (CXR) for CAP, while eliminating radiation exposure. Emerging evidence suggests that LUS may also differentiate the underlying etiologies of CAP. Assuming that distinct CAP etiologies exhibit characteristic LUS features, we aim to design a study protocol to develop a predictive model that integrates a child’s clinical information with their specific LUS patterns to inform individualized treatment strategies.

Conclusions

This clinical approach will comprehensively evaluate clinical, laboratory, LUS, and outcome data from pediatric patients with CAP of various causes. If more centers will use the same approach, this will allow to gather in the short time data from large and diverse cohorts to facilitate the optimization and understanding of how LUS can potentially help understanding the etiology of CAP. The integrated data will be used to support tailored management strategies for pediatric CAP.