中国广州 Omicron 菌株爆发期间 COVID-19 相关感染的临床和病原体特征。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY Microbiology spectrum Pub Date : 2024-10-03 Epub Date: 2024-09-06 DOI:10.1128/spectrum.03406-23
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
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引用次数: 0

摘要

虽然奥米克龙变异体与更大的传播性和上呼吸道趋向性有关,但在中国爆发的一次疫情中,奥米克龙变异体感染者的临床和致病特征尚不清楚。研究人员从中国广州的七家医疗中心回顾性地招募了感染 COVID-19 的成人,并收集了参与者的临床信息和标本(BALF、痰液和咽拭子)。采用传统检测方法、元基因组学新一代测序(mNGS)等方法检测下呼吸道样本中的病原体。从 2022 年 12 月到 2023 年 1 月,我们共招募了 836 名 COVID-19 患者,其中 56.7% 的患者病情严重/危重。约91.4%的患者感染了Omicron菌株(BA.5.2)。mNGS 对可能合并感染病原体的检出率为 53.4%,包括肺炎克雷伯菌(16.3%)、烟曲霉菌(12.2%)和铜绿假单胞菌(11.8%)。合并感染率为 19.5%,常见病原体为肺炎链球菌(11.5%)、流感嗜血杆菌(9.2%)和腺病毒(6.9%)。超级感染率为 75.4%,常见病原体为肺炎克雷伯菌(26.1%)和铜绿假单胞菌(19.4%)。肺炎克雷伯菌(27.1%% vs 6.1%,P < 0.001)、烟曲霉菌(19.6% vs 5.3%,P = 0.001)、鲍曼不动杆菌(18.7% vs 4.4%,P = 0.001)、铜绿假单胞菌(16.8% vs 7.0%,P = 0.024)、金黄色葡萄球菌(14.0% vs 5.3%,P = 0.027)和肺炎链球菌(0.9% vs 10.5%,P = 0.002)在重症病例中更为常见。在与奥米克龙变异型感染相关的重症肺炎患者中,细菌和真菌的合并感染和超级感染很常见。测序方法有助于病原体的诊断和鉴别诊断:我们的研究分析了广州地区在奥米克隆变异株爆发期间,尤其是在中国疫情防控策略放松之后,与合并感染或超级感染相关的下呼吸道临床特征和病原体谱。这项研究可能会促进对这一具体问题的进一步研究,从而有益于临床实践。
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Clinical and pathogen features of COVID-19-associated infections during an Omicron strain outbreak in Guangzhou, China.

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.

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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
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.
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