Emerging Microbes and Infections (Dec 2024)

Epidemic features and megagenomic analysis of childhood Mycoplasma pneumoniae post COVID-19 pandemic: a 6-year study in southern China

  • Yi Xu,
  • Chen Yang,
  • Panpan Sun,
  • Fansen Zeng,
  • Qian Wang,
  • Jianlong Wu,
  • Chunxiao Fang,
  • Che Zhang,
  • Jinping Wang,
  • Yiling Gu,
  • Xiaohuan Wu,
  • Xiaoxian Zhang,
  • Bin Yang,
  • Juhua Yang,
  • Hongwei Zhang,
  • Jiacee Lian,
  • Jinqiu Zhang,
  • Li Huang,
  • Qizhou Lian

DOI
https://doi.org/10.1080/22221751.2024.2353298
Journal volume & issue
Vol. 13, no. 1

Abstract

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With the atypical rise of Mycoplasma pneumoniae infection (MPI) in 2023, prompt studies are needed to determine the current epidemic features and risk factors with emerging trends of MPI to furnish a framework for subsequent investigations. This multicentre, retrospective study was designed to analyse the epidemic patterns of MPI before and after the COVID-19 pandemic, as well as genotypes and the macrolide-resistance-associated mutations in MP sampled from paediatric patients in Southern China. Clinical data was collected from 1,33,674 patients admitted into investigational hospitals from 1 June 2017 to 30 November 2023. Metagenomic next-generation sequencing (mNGS) data were retrieved based on MP sequence positive samples from 299 paediatric patients for macrolide-resistance-associated mutations analysis. Pearson's chi-squared test was used to compare categorical variables between different time frames. The monthly average cases of paediatric common respiratory infection diseases increased without enhanced public health measures after the pandemic, especially for influenza, respiratory syncytial virus infection, and MPI. The contribution of MPI to pneumoniae was similar to that in the outbreak in 2019. Compared to mNGS data between 2019–2022 and 2023, the severity of MP did not grow stronger despite higher rates of macrolide-resistance hypervariable sites, including loci 2063 and 2064, were detected in childhood MP samples of 2023. Our findings indicated that ongoing surveillance is necessary to understand the impact of post pandemic on MP transmission disruption during epidemic season and the severity of clinical outcomes in different scenarios.

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