Epidemiological Characterization of Respiratory Pathogens Using the Multiplex PCR FilmArray™ Respiratory Panel Article Swipe
Young Jun Hong
,
Bo Kyeung Jung
,
Jae Kyung Kim
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3798834/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3798834/v1
Background : Different pathogens can cause upper respiratory tract infections. Since infections caused by different pathogens result in similar symptoms, it is challenging to identify the pathogen based on symptoms alone. Therefore, diagnostic tests for pathogen identification are important for determining the appropriate treatment plan. Methods and Results : Samples from patients with upper respiratory tract infections collected between January 2018 and December 2022 at the Dankook University Hospital, Cheonan, South Korea, were retrospectively analyzed for pathogens, co-infection, age, and monthly incidence using the FilmArray™ Respiratory Panel (RP) method. A total of 6,367 samples were analyzed. The most common pathogen was adenovirus (18.9%), followed by influenza virus A (16.5%), parainfluenza virus type 3 (12.3%), human rhinovirus/enterovirus (10.4%), and human metapneumovirus (9.7%). These four pathogens accounted for 58.1% of all detected pathogens. Of the 1,744 pathogens, 393 overlapping infectious pathogens were identified, showing a 22.5% co-infection rate. The positivity rate was 72.3% from the age of 0 to 10 years and 44.1% from December to February. Conclusions : Traditional culture-based methods commonly used for upper respiratory tract infection diagnostics require skilled personnel and have lengthy processing times. By contrast, the FilmArray™ RP method employed in this study enabled the identification of 20 different pathogens within 2 h, including preprocessing, thus preventing treatment delays and unwarranted antibiotic prescription.
Related Topics
Concepts
Rhinovirus
Respiratory tract infections
Pathogen
Medicine
Respiratory tract
Multiplex polymerase chain reaction
Human metapneumovirus
Epidemiology
Virology
Respiratory system
Internal medicine
Immunology
Virus
Biology
Polymerase chain reaction
Gene
Biochemistry
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3798834/v1
- https://www.researchsquare.com/article/rs-3798834/latest.pdf
- OA Status
- green
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390512503
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390512503Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-3798834/v1Digital Object Identifier
- Title
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Epidemiological Characterization of Respiratory Pathogens Using the Multiplex PCR FilmArray™ Respiratory PanelWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-02Full publication date if available
- Authors
-
Young Jun Hong, Bo Kyeung Jung, Jae Kyung KimList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-3798834/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-3798834/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-3798834/latest.pdfDirect OA link when available
- Concepts
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Rhinovirus, Respiratory tract infections, Pathogen, Medicine, Respiratory tract, Multiplex polymerase chain reaction, Human metapneumovirus, Epidemiology, Virology, Respiratory system, Internal medicine, Immunology, Virus, Biology, Polymerase chain reaction, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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32Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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