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ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1531432
This article is part of the Research TopicAdvanced Biotechnology and Nanotechnology in Theragnostic of Infectious Lung DiseasesView all articles
Application of quantitative real-time PCR to identify of respiratory tract pathogens of RTIs in outpatients
Provisionally accepted- Second Affiliated Hospital of Soochow University, Suzhou, China
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Introduction: Respiratory tract infections (RTIs) caused by various pathogens-including viruses, bacteria, and fungi-pose significant public health challenges worldwide.Understanding the aetiology and epidemiology of RTIs is necessary for clinical management, rational drug use, formulate preventive measure and vaccine development.Quantitative real-time PCR was used for detection, analysis of the detection results of respiratory pathogens in outpatients in a hospital in Suzhou, including FluA, FluB, RSV, ADV, HRV, MP and SARS-CoV-2.Results: Among the 27,031 respiratory and throat swab samples, the positive rate of virus detection is accounting for 25.6%. MP, SARS-CoV-2, and FluA, in particular, have high positive rates in children, adolescentsand adults. The highest infection rates of RSV, HRV and ADV were found in patients under 5 years old. High rates of FluA and FluB were observed in patients aged 5-17 and 18-44 years. However, the highest rate of SARS-CoV-2 infection was mainly in patients of elderly. Seasonally, the infection rates of SARS-CoV-2 and FluA were highest in spring, FluB, RSV and ADV in winter, HRV in autumn, and MP in summer and autumn.Through the analysis of the results of respiratory virus nucleic acid detection, we can better understand the infection status of common respiratory, and provide a basis for clinical diagnosis and treatment.
Keywords: quantitative real-time PCR, respiratory tract infection, Respiratory tract pathogens, Outpatients, Infection status
Received: 20 Nov 2024; Accepted: 07 Apr 2025.
Copyright: © 2025 Lin, Yang, Xu, Wang, Pan, Zhao, Liu, Zhang and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiaofang Xie, Second Affiliated Hospital of Soochow University, Suzhou, China
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