[Analysis of seroepidemiological characteristics of 11 common respiratory pathogens infection based on 35 665 screened individuals].

医学 呼吸道感染 抗体 呼吸系统 呼吸道 免疫学 统计分析 内科学 呼吸道疾病 兽医学 呼吸道感染 感染率 下呼吸道感染 流行病学 特异性抗体 肺炎
作者
Lan Zhang,Mingfu Cao,Bing Zhang,Huijun Li,R X Zhang
出处
期刊:PubMed [National Institutes of Health]
卷期号:59 (10): 1676-1684
标识
DOI:10.3760/cma.j.cn112150-20250225-00135
摘要

Objective: To analyze the seroepidemiological characteristics of common respiratory pathogens in patients screened at a tertiary hospital in Zhangjiakou from 2018 to 2024. Methods: This single-center cross-sectional study utilized data from the laboratory information management system (LIS) of The First Affiliated Hospital of Hebei North University. We collected clinical data and serum-specific IgM antibody test results for 11 common respiratory pathogens (influenza A virus, influenza B virus, respiratory syncytial virus, parainfluenza virus, mycoplasma pneumoniae, chlamydia pneumoniae, legionella pneumophila, coxsackie A virus, coxsackie B virus, echovirus and adenovirus), excluding SARS-CoV-2, from January 1, 2018, to December 31, 2024. Comparative analyses were conducted across three periods: 2018-2019, 2020-2022, and 2023-2024. Statistical analyses were performed using SPSS 26.0, with categorical data presented as percentages and compared using χ2 tests. Results: From 2018 to 2024, a total of 35 665 patients with respiratory tract infection were screened, of which 10 531 were positive for at least one pathogen, with a total positive rate of 29.53% (10 531/35 665). Age-adjusted positive rates were highest in 2023-2024 compared to 2018-2019 and 2020-2022 (χ2=690.789, P<0.001). The specific data are as follows: 21.35% (2 476/11 598) in 2018-2019, 24.35% (2 942/12 081) in 2020-2022, and 35.73% (4 283/11 986) in 2023-2024. Among the 11 pathogens, mycoplasma pneumoniae had the highest overall positivity rate (11.99%, 4 278/35 665), followed by influenza B virus (10.83%, 3 861/35 665), the other nine pathogens showed lower rates (0.88%-4.97%). At different time stages, the positive rates of serum IgM antibodies of various pathogens showed different changing characteristics: in 2023-2024, the positive rates of serum specific IgM antibodies against mycoplasma pneumoniae, influenza B/A virus and adenovirus increased significantly compared with those in 2020-2022, from 10.35%, 11.91%, 3.68%, 0.43% to 12.11%, 14.97%, 5.37%, 4.43% respectively (χ2=59.150, P<0.001; χ2=579.484, P<0.001; χ2=116.263, P<0.001; χ2=654.125, P<0.001). The positive rates of serum IgM antibody in patients of different age groups also showed different changing trends. In 2023-2024, the proportion of people in 18 to 60 and ≥60 age groups increased compared with that in 2018-2019 (χ2=325.069, P<0.001; χ2=593.612, P<0.001), while the 0 to 3, 3 to 6, and 6 to 12 age groups showed declines (χ2=382.067, P<0.001; χ2=252.835, P<0.001; χ2=285.888, P<0.001). Regarding the composition of serum IgM antibodies in different infection patterns, the proportion of single-pathogen infections decreased in 2023-2024 compared with that in 2018-2019 (χ2=130.19, P<0.001), while the proportion of two and three pathogen co-positive increased (χ2=65.533, P<0.001; χ2=46.836, P<0.001).The most common single-pathogen infections were mycoplasma pneumoniae, influenza B/A virus and legionella pneumophila; the predominant dual-pathogen combinations were influenza A+B viruses, influenza B virus+mycoplasma pneumoniae, and mycoplasma pneumoniae+legionella pneumophila. Conclusion: From 2018 to 2024, the seroepidemiological characteristics of common respiratory pathogens changed significantly with different time stages. The positive rate of serum-specific IgM antibodies were influenced by the social environment and public health intervention measures. Serological testing is an important means for the monitoring of respiratory pathogens and the prevention and control of infections in this region.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
111关注了科研通微信公众号
刚刚
刚刚
深情安青应助di采纳,获得10
1秒前
1秒前
1秒前
瘦瘦的若山完成签到,获得积分10
1秒前
2秒前
隐形安露发布了新的文献求助10
3秒前
3秒前
4秒前
Jasper应助坚强亦丝采纳,获得10
4秒前
chewy应助科研通管家采纳,获得10
4秒前
4秒前
打打应助科研通管家采纳,获得10
4秒前
DarrenWu完成签到,获得积分10
4秒前
HenrySheng发布了新的文献求助30
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
隐形曼青应助科研通管家采纳,获得10
5秒前
mouxq发布了新的文献求助10
5秒前
chewy应助科研通管家采纳,获得10
5秒前
十三发布了新的文献求助10
5秒前
顾矜应助科研通管家采纳,获得10
5秒前
地表飞猪应助科研通管家采纳,获得10
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
桐桐应助科研通管家采纳,获得10
6秒前
哈哈哈哈哈完成签到,获得积分10
6秒前
6秒前
小马甲应助科研通管家采纳,获得10
6秒前
Owen应助Zyyyx采纳,获得10
6秒前
思源应助科研通管家采纳,获得10
6秒前
bkagyin应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
6秒前
地表飞猪应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
地表飞猪应助科研通管家采纳,获得200
6秒前
达达鸭发布了新的文献求助10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765000
求助须知:如何正确求助?哪些是违规求助? 9309358
关于积分的说明 20310654
捐赠科研通 7349841
什么是DOI,文献DOI怎么找? 3314708
关于科研通互助平台的介绍 2464103
邀请新用户注册赠送积分活动 2329140