Practical Geriatrics ›› 2022, Vol. 36 ›› Issue (12): 1255-1258.doi: 10.3969/j.issn.1003-9198.2022.12.017

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Single center retrospective study on the distribution of pathogens in elderly patients with acute exacerbation of chronic obstructive pulmonary disease

ZHANG Jing, TAN Yan, LEI Jing, GAO Lin, GE Yi-yue, JIN Jia-jia, WANG Li, WANG Xiao-ping   

  1. ZHANG Jing, TAN Yan, LEI Jing, GAO Lin, JIN Jia-jia, WANG Li. Department of Respiratory and Critical Care Medicine; WANG Xiao-ping. Department of Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China;
    GE Yi-yue. NHG Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
  • Received:2022-06-23 Online:2022-12-20 Published:2022-11-30

Abstract: Objective To explore the distribution and correlation of pathogens in the elderly patients with AECOPD, so as to guide the rational use of antibiotics and hormones in clinic. Methods A total of 111 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively analyzed. The basic data such as eosinophil, neutrophil and lymphocyte count, the levels of C-reactive protein (CRP) and erythrocyte sedimentation rate(ESR )in blood routine examination were collected. Further, the pathogens were qualified by sputum fluorescence quantitative polymerase chain reaction, and the pathogens distribution was analyzed. Results The level of ESR and the ratio of cardiovascular diseases showed significant differences between the pathogen-positive group and pathogen-negative group. In this study, the top five pathogens in AECOPD patients were EB virus (21.6%), Haemophilus influenzae (19.8%), Streptococcus pneumoniae (17.1%), herpes simplex virus (14.4%), influenza A virus (14.4%). The detection rate of influenza A virus was correlated with influenza B virus and Aspergillus (P<0.05); The detection rate of respiratory syncytial virus was correlated with Candida, Moraxella catarrholis, Streptococcus pneumoniae and Haemophilus influenzae (P<0.05); The detection rate of Escherichia coli was correlated with rhinovirus, adenovirus, Klebsiella pneumoniae and Acinetobacter baumannii (P<0.05); The detection rate of Candida was correlated with that of Moraxella catarrholis and Pseudomonas aeruginosa (P<0.05); The detection rate of human coronavirus was correlated with Haemophilus influenzae, herpes simplex virus and Streptococcus pneumoniae (P<0.05). Conclusions AECOPD are mostly induced by different pathogens, especially mixed infection of bacteria and virus. It is helpful to guide the rational use of antibiotics by analyzing the etiological characteristics in the elderly patients with AECOPD.

Key words: chronic obstructive pulmonary disease, fluorescence quantitative PCR, pathogen

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