Lin-Ling Cheng, Zheng-Tu Li, Hong-Kai Wu, Feng Li, Ye Qiu, Tao Wang, Hui Peng, Zi-Hao Liu, Pan-Rui Huang, Lu Zhou, Li-Fen Gao, Hui-Ju Huang, Bin Zhang, Xi-Long Deng, Xin Chen, Feng Ye, Xiao-Qing Liu, Wei-Jie Guan, Yue-Ping Li, Yi-Min Li, Shi-Yue Li, Nan-Shan Zhong
{"title":"Clinical and pathogen features of COVID-19-associated infections during an Omicron strain outbreak in Guangzhou, China.","authors":"Lin-Ling Cheng, Zheng-Tu Li, Hong-Kai Wu, Feng Li, Ye Qiu, Tao Wang, Hui Peng, Zi-Hao Liu, Pan-Rui Huang, Lu Zhou, Li-Fen Gao, Hui-Ju Huang, Bin Zhang, Xi-Long Deng, Xin Chen, Feng Ye, Xiao-Qing Liu, Wei-Jie Guan, Yue-Ping Li, Yi-Min Li, Shi-Yue Li, Nan-Shan Zhong","doi":"10.1128/spectrum.03406-23","DOIUrl":null,"url":null,"abstract":"<p><p>Although the Omicron variant has been associated with greater transmissibility and tropism of the upper respiratory tract, the clinical and pathogenic features of patients infected with the Omicron variant during an outbreak in China have been unclear. Adults with COVID-19 were retrospectively enrolled from seven medical centers in Guangzhou, China, and clinical information and specimens ( BALF, sputum, and throat swabs) from participants were collected. Conventional detection methods, metagenomics next-generation sequencing (mNGS), and other methods were used to detect pathogens in lower respiratory tract samples. From December 2022 to January 2023, we enrolled 836 patients with COVID-19, among which 56.7% patients had severe/critical illness. About 91.4% of patients were infected with the Omicron strain (BA.5.2). The detection rate of possible co-infection pathogens was 53.4% by mNGS, including <i>Klebsiella pneumoniae</i> (16.3%), <i>Aspergillus fumigatus</i> (12.2%), and <i>Pseudomonas aeruginosa</i> (11.8%). The co-infection rate was 19.5%, with common pathogens being <i>Streptococcus pneumoniae</i> (11.5%), <i>Haemophilus influenzae</i> (9.2%), and <i>Adenovirus</i> (6.9%). The superinfection rate was 75.4%, with common pathogens such as <i>Klebsiella pneumoniae</i> (26.1%) and <i>Pseudomonas aeruginosa</i> (19.4%). <i>Klebsiella pneumoniae</i> (27.1%% vs 6.1%, <i>P</i> < 0.001), <i>Aspergillus fumigatus</i> (19.6% vs 5.3%, <i>P</i> = 0.001), <i>Acinetobacter baumannii</i> (18.7% vs 4.4%, <i>P</i> = 0.001), <i>Pseudomonas aeruginosa</i> (16.8% vs 7.0%, <i>P</i> = 0.024), <i>Staphylococcus aureus</i> (14.0% vs 5.3%, <i>P</i> = 0.027), and <i>Streptococcus pneumoniae</i> (0.9% vs 10.5%, <i>P</i> = 0.002) were more common in severe cases. Co-infection and superinfection of bacteria and fungi are common in patients with severe pneumonia associated with Omicron variant infection. Sequencing methods may aid in the diagnosis and differential diagnosis of pathogens.</p><p><strong>Importance: </strong>Our study has analyzed the clinical characteristics and pathogen spectrum of the lower respiratory tract associated with co-infection or superinfection in Guangzhou during the outbreak of the Omicron strain, particularly after the relaxation of the epidemic prevention and control strategy in China. This study will likely prompt further research into the specific issue, which will benefit clinical practice.</p>","PeriodicalId":18670,"journal":{"name":"Microbiology spectrum","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448415/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiology spectrum","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1128/spectrum.03406-23","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Although the Omicron variant has been associated with greater transmissibility and tropism of the upper respiratory tract, the clinical and pathogenic features of patients infected with the Omicron variant during an outbreak in China have been unclear. Adults with COVID-19 were retrospectively enrolled from seven medical centers in Guangzhou, China, and clinical information and specimens ( BALF, sputum, and throat swabs) from participants were collected. Conventional detection methods, metagenomics next-generation sequencing (mNGS), and other methods were used to detect pathogens in lower respiratory tract samples. From December 2022 to January 2023, we enrolled 836 patients with COVID-19, among which 56.7% patients had severe/critical illness. About 91.4% of patients were infected with the Omicron strain (BA.5.2). The detection rate of possible co-infection pathogens was 53.4% by mNGS, including Klebsiella pneumoniae (16.3%), Aspergillus fumigatus (12.2%), and Pseudomonas aeruginosa (11.8%). The co-infection rate was 19.5%, with common pathogens being Streptococcus pneumoniae (11.5%), Haemophilus influenzae (9.2%), and Adenovirus (6.9%). The superinfection rate was 75.4%, with common pathogens such as Klebsiella pneumoniae (26.1%) and Pseudomonas aeruginosa (19.4%). Klebsiella pneumoniae (27.1%% vs 6.1%, P < 0.001), Aspergillus fumigatus (19.6% vs 5.3%, P = 0.001), Acinetobacter baumannii (18.7% vs 4.4%, P = 0.001), Pseudomonas aeruginosa (16.8% vs 7.0%, P = 0.024), Staphylococcus aureus (14.0% vs 5.3%, P = 0.027), and Streptococcus pneumoniae (0.9% vs 10.5%, P = 0.002) were more common in severe cases. Co-infection and superinfection of bacteria and fungi are common in patients with severe pneumonia associated with Omicron variant infection. Sequencing methods may aid in the diagnosis and differential diagnosis of pathogens.
Importance: Our study has analyzed the clinical characteristics and pathogen spectrum of the lower respiratory tract associated with co-infection or superinfection in Guangzhou during the outbreak of the Omicron strain, particularly after the relaxation of the epidemic prevention and control strategy in China. This study will likely prompt further research into the specific issue, which will benefit clinical practice.
期刊介绍:
Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.