Pathogen epidemiological study of hospitalized children with acute respiratory infections based on targeted next-generation sequencing
Pathogen epidemiological study of hospitalized children with acute respiratory infections based on targeted next-generation sequencing

Pathogen epidemiological study of hospitalized children with acute respiratory infections based on targeted next-generation sequencing

Diagn Microbiol Infect Dis. 2025 Jul 17;113(3):117017. doi: 10.1016/j.diagmicrobio.2025.117017. Online ahead of print.

ABSTRACT

BACKGROUND: Acute respiratory infections (ARIs) remain a leading cause of pediatric hospitalization, yet their etiological complexity and age-specific epidemiological patterns are poorly characterized.

METHODS: This study utilized targeted next-generation sequencing (tNGS) to investigate the prevalence, seasonality, and age-dependent dynamics of 108 respiratory pathogens in 1,468 hospitalized children with ARIs.

RESULTS: Totally, 64.7 % were tested positive for viruses and 77.2 % were positive for bacteria. The top three viruses were human rhinovirus (18.5 %), human respiratory syncytial virus B (7.7 %) and human adenovirus B (7.0 %), and the predominant bacteria were Haemophilus influenzae (35.6 %), Mycoplasmoides pneumoniae (27.9 %) and Streptococcus pneumoniae (21.6 %). The tNGS additionally identified pathogens such as enterovirus (4.1 %), parechovirus A (1.2 %), dengue virus (1.0 %), and Bordetella pertussis (2.0 %). Viral and bacterial detection rates exhibited different age-dependent patterns, and thereby substantially influenced coinfection dynamics. Seasonal trends also revealed significant variability, with certain pathogens peaking during winter-spring months and others demonstrating sustained prevalence across the year.

CONCLUSION: These findings provided a comprehensive framework for understanding ARIs pathogenesis, and emphasized the need for age-tailored diagnostics, seasonal surveillance, and antimicrobial stewardship to optimize clinical management in pediatric populations.

PMID:40706102 | DOI:10.1016/j.diagmicrobio.2025.117017