Introduction to the database “efficacy of different treatment modalities for lower respiratory tract infections in children”

Abstract

This study aimed to establish a registry database of different treatment modalities for lower respiratory tract infections (LRTIs) in Chinese children, thereby filling gaps in knowledge on clinical characteristics, treatment modalities, and rational drug use in relation to LRTIs in Chinese children, and providing large amounts of continuous, complete, scientific, and objective clinical data, and an information exchange platform. Multicenter data from these children's clinical visits were collected, pooled, and analyzed using medical informatics and statistical techniques to explore their potential value. The database was preliminarily established and a real-world study cohort was constructed based on a total of 4805 patients registered in this database. Pneumonia was identified as the most common type of LRTIs (72.44%), followed by acute bronchitis (20.71%). The mean age of the enrolled children with LRTIs was 3.26 ± 2.84 years, and boys accounted for 59.21% of the samples. Among the enrolled children, pneumonia and acute bronchitis had the highest incidence in children aged 1–3 years (27.44%) and those aged 3–6 years (34.16%), respectively. In this national, multicenter, observational database of LRTIs in children, the real-world characteristics and treatment modalities for LRTIs in Chinese children are elucidated. This database will help improve the research efficiency of clinicians and facilitate the exploration of underlying clinical patterns in real-world medical big data.

Keywords

children / database / different treatment modalities / efficacy / lower respiratory tract infection

References

[1] de Benedictis FM, Bush A. Recurrent lower respiratory tract infections in children. BMJ. 2018; 362:k2698.

[2] Zhang B, Zhao L, Li C. Bacterial pathogen distribution and drug resistance monitoring in children with acute lower respiratory tract infection. Chin J Emerg Med. 2012; 21(5): 4.

[3] Global Burden of Disease 2017. Institue for Health Metrics and Evaluation. http://ihmeuw.org/4o0

[4] Liu L, Oza S, Hogan D, et al. Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet. 2015; 385(9966): 430-440.

[5] Rudan I, Boschi-Pinto C, Biloglav Z, Mulholland K, Campbell H. Epidemiology and etiology of childhood pneumonia. Bull World Health Organ. 2008; 86(5): 408-416.

[6] Wang EE, Law BJ, Boucher FD, et al. Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study of admission and management variation in patients hospitalized with respiratory syncytial viral lower respiratory tract infection. J Pediatr. 1996; 129(3): 390-395.

[7] Martin-Loeches I, Povoa P, Rodríguez A, et al. Incidence and prognosis of ventilator-associated tracheobronchitis (TAVeM): a multicentre, prospective, observational study. Lancet Respir Med. 2015; 3(11): 859-868.

[8] van Houten CB, Oved K, Eden E, et al. Observational multi-centre, prospective study to characterize novel pathogen-and host-related factors in hospitalized patients with lower respiratory tract infections and/or sepsis - the "TAILORED-Treatment" study. BMC Infect Dis. 2018; 18(1): 377.

[9] De Luca D, Rava L, Nadel S, et al. The EPICENTRE (ESPNIC Covid pEdiatric Neonatal Registry) initiative: background and protocol for the international SARS-CoV-2 infections registry. Eur J Pediatr. 2020; 179(8): 1271-1278.

[10] Hu Y, Song L, Wang M, Zhu Y. Establishment and application of SARS database in Jiangsu province. Jiangsu Yufang Medicine. 2004; 12(1): 74-75.

RIGHTS & PERMISSIONS

2024 The Author(s). Pediatric Discovery published by John Wiley & Sons Australia, Ltd on behalf of Children's Hospital of Chongqing Medical University.