Hai-Feng Liu, Xiao-Zhong Hu, Rong-Wei Huang, Zheng-Hong Guo, Jin-Rong Gao, Mei Xiang, Rui Lu, Deng Ban, Cong-Yun Liu, Ya-Yu Wang, Wang Li, Yin Li, Yun-Jie Guo, Quan Lu, Hong-Min Fu
BACKGROUND: The rebound of influenza A (H1N1) infection in post-COVID-19 era recently attracted enormous attention due the rapidly increased number of pediatric hospitalizations and the changed characteristics compared to classical H1N1 infection in pre-COVID-19 era. This study aimed to evaluate the clinical characteristics and severity of children hospitalized with H1N1 infection during post-COVID-19 period, and to construct a novel prediction model for severe H1N1 infection. METHODS: A total of 757 pediatric H1N1 inpatients from nine tertiary public hospitals in Yunnan and Shanghai, China, were retrospectively included, of which 431 patients diagnosed between February 2023 and July 2023 were divided into post-COVID-19 group, while the remaining 326 patients diagnosed between November 2018 and April 2019 were divided into pre-COVID-19 group...
April 2, 2024: BMC Pediatrics