The aetiology of community associated pneumonia in children in Nanjing, China and aetiological patterns associated with age and season
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  • 作者:Keping Chen (1)
    Runqing Jia (2)
    Li Li (1)
    Chuankun Yang (1)
    Yan Shi (1)

    1. Zhongda Hospital
    ; Southeast University ; 87 Dingjiaqiao ; Nanjing ; 210009 ; Jiangsu ; China
    2. College of Life Sciences and Bioengineering
    ; Beijing University of Technology ; 100 Ping Le Yuan ; Beijing ; 100022 ; China
  • 关键词:Community ; acquired pneumonia ; Aetiology ; M. pneumoniae ; Pneumoslide IgM
  • 刊名:BMC Public Health
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:15
  • 期:1
  • 全文大小:548 KB
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  • 刊物主题:Public Health; Medicine/Public Health, general; Epidemiology; Environmental Health; Biostatistics; Vaccine;
  • 出版者:BioMed Central
  • ISSN:1471-2458
文摘
Background Viral and atypical bacterial pathogens play an important role in respiratory tract infection. Using the Pneumoslide IgM test, the presented study explored the aetiology of community-acquired pneumonia and investigated further whether there was an association between age or season and aetiological organisms. Methods Serum samples, taken between August 2011 and August 2013, from patients with CAP were tested with the Pneumoslide IgM kit. The Pneumoslide IgM technology can simultaneously diagnose 9 viral and atypical bacterial pathogens: Legionella pneumophila serogroup 1 (LP1), Mycoplasma pneumoniae (MP), Coxiella burnetii (COX), Chlamydophila pneumonia (CP), Adenovirus (ADV), Respiratory syncytial virus (RSV), Influenza A (INFA), Influenza B (INFB), Parainfluenza 1, 2 and 3 (PIVs). The data was analyzed by using Statistical Package for the Social Sciences for Windows (SPSS, version 11.0). Results Of a total of 1204 serum samples tested, 624 samples were positive. M. pneumoniae was the dominant pathogen, with INFB, PIVs, and RSV ranking second to fourth, respectively. The positive percentages of MP, INFB, PIVs and RSV were found to be associated with age, especially MP, INFB and PIVs. The positive percentages of MP, PIVs and RSV were also found to be associated with season. The positive percentage of MP in autumn was the highest. The positive percentages of LP1 in August and September, ADV in June and INFB in March were relatively higher than that in other months. Conclusions The results show there were 4 main viral and atypical bacterial pathogens causing CAP in our study. Some pathogens were found to be associated with age and season. M. pneumoniae was the most predominant pathogen among these 9 pathogens. It is necessary to take preventative measures in order to prevent the spread of these pathogens in susceptible age groups during peak season.

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