# Lung ultrasound for the diagnosis and monitoring of community-acquired pneumonia in children: a prospective observational study

## TL;DR

Lung ultrasound helps diagnose and monitor pneumonia in children, showing better results for bacterial and viral cases and guiding follow-up timing.

## Contribution

The study demonstrates lung ultrasound's role in predicting adverse outcomes and optimizing follow-up timing based on disease severity.

## Key findings

- Lung ultrasound scores were significantly higher in bacterial and viral pneumonias compared to atypical cases.
- Elevated ultrasound scores predicted adverse outcomes like respiratory support or ICU admission.
- A 72-hour interval was sufficient to detect improvements in severe cases but not in mild ones.

## Abstract

Community-acquired pneumonia remains a noteworthy concern in pediatrics due to the difficulty in identifying the underlying etiology and the risk of complications associated with high morbidity and mortality.

This is a multicenter, prospective study that enrolled 315 children admitted to three different hospitals in Italy between March 2023 and June 2024. The ultrasound scans were performed according to the approach proposed by Soldati et al. in 2020 at admission (T0) and during hospitalization (T1).

Lung ultrasound proved to be a valuable tool for differentiating etiologies, with significantly higher scores observed in bacterial and viral pneumonias compared to atypical cases (respectively p < 0.001 and p = 0.018). Furthermore, elevated ultrasound scores were predictive of adverse outcomes, such as the need for respiratory support or admission to the intensive care unit (p < 0.05). Finally, our findings highlight the importance of timing in follow-up assessments: a 72-hour interval was sufficient to detect improvements in lung ultrasound findings in severe cases (p < 0.01), while it appeared unnecessary in mild ones (p = 0.139).

This study confirms the usefulness of lung ultrasound in monitoring children with community-acquired pneumonia and in the early identification of those at risk of clinical deterioration. Moreover, our findings offer useful guidance for optimizing follow-up timing, supporting personalized ultrasound approaches tailored to disease severity while reducing unnecessary examinations.