Dynamic Shifts in Respiratory Pathogens During the First Post-COVID-19 Autumn-Winter in Beijing.

IF 2 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
International Journal of General Medicine Pub Date : 2026-04-30 eCollection Date: 2026-01-01 DOI:10.2147/IJGM.S603441
Yufeng Sun, Xiaobo Tian, Jiaguo Wu, Yuting Xue, Yichuan Qin, Xiangyi Liu
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引用次数: 0

Abstract

Background: The COVID-19 pandemic and its associated nonpharmaceutical interventions have profoundly changed the epidemiology of respiratory pathogens. Following the lifting of COVID-19 restrictions in December 2022 and its adjustment to Class B management, respiratory infections have resurged in China. This study aimed to understand the infection spectrum, mixed infection pattern and temporal dynamic changes of respiratory pathogens in the first autumn-winter after the outbreak of COVID-19 in Beijing.

Methods: A total of 864 unique throat swab specimens from patients with respiratory infections at Beijing Tongren Hospital were analyzed, with no repeated testing. Respiratory pathogens were detected by multiplex PCR against 31 viral, bacterial, and atypical pathogens. Detection rates, co-infection patterns, and temporal trends were analyzed across age groups and clinical settings.

Results: The total detection rate of respiratory bacteria was 79.63% (688/864), the highest was in children (86.67%), and the lowest was in elderly patients (70.49%). The detection rate of outpatients and emergency patients was significantly higher than that of inpatients (p < 0.001). Co-infections were found in 59.16% of the positive cases, mainly viral-bacterial and bacterial-bacterial combinations. The highest detection rates of viruses were influenza A virus (27.31%), influenza B virus (10.42%) and human adenovirus (5.09%). Among bacterial pathogens, Haemophilus influenzae (26.62%), Acinetobacter baumannii (18.75%) and Klebsiella pneumoniae (14.47%) were most frequently detected. Weekly analyses showed alternating circulation of influenza A and B viruses, with an increase in bacterial load late in the influenza season.

Conclusion: The first autumn-winter after COVID-19 outbreak in Beijing was characterized by extensive co-circulation of multiple respiratory pathogens, with high viral infection burden and frequent bacterial co-infection. These findings highlight the importance of continued molecular surveillance and integrated pathogen testing strategies for clinical management and public health response in a post-COVID-19 era.

2019冠状病毒病后北京首个秋冬季呼吸道病原体动态变化
背景:2019冠状病毒病大流行及其相关的非药物干预措施深刻改变了呼吸道病原体的流行病学。自2022年12月解除COVID-19限制并调整为B类管理后,中国的呼吸道感染再次出现。本研究旨在了解新冠肺炎疫情暴发后首个秋冬季北京市呼吸道病原菌的感染谱、混合感染模式及时间动态变化。方法:对北京同仁医院呼吸道感染患者的864份独特咽拭子标本进行分析,无重复检测。采用多重聚合酶链反应对31种病毒性、细菌性和非典型致病菌进行检测。分析了不同年龄组和临床环境的检出率、合并感染模式和时间趋势。结果:呼吸道细菌总检出率为79.63%(688/864),其中儿童检出率最高(86.67%),老年患者最低(70.49%)。门诊和急诊患者的检出率显著高于住院患者(p < 0.001)。阳性病例中合并感染占59.16%,以病毒-细菌和细菌-细菌联合感染为主。病毒检出率最高的是甲型流感病毒(27.31%)、乙型流感病毒(10.42%)和人腺病毒(5.09%)。病原菌中以流感嗜血杆菌(26.62%)、鲍曼不动杆菌(18.75%)和肺炎克雷伯菌(14.47%)检出最多。每周分析显示甲型和乙型流感病毒交替传播,在流感季节后期细菌负荷增加。结论:北京市新冠肺炎疫情暴发后的第一个秋冬季,多种呼吸道病原体广泛共循环,病毒感染负担高,细菌共感染频繁。这些发现强调了后covid -19时代持续进行分子监测和综合病原体检测策略对临床管理和公共卫生应对的重要性。
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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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