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Use of saliva-based qPCR diagnostics for the accurate, rapid, and inexpensive detection of strep throat.

Authors :
Peachey, Madeline H.
Kubow, Kristopher E.
Blyer, Kristina B.
Halterman, Julia A.
Source :
Diagnosis (2194-802X). May2024, Vol. 11 Issue 2, p178-185. 8p.
Publication Year :
2024

Abstract

Outpatient health care facilities are essential for quickly diagnosing common infectious diseases such as bacterial and viral pharyngitis. The only form of pharyngitis requiring antibiotics is strep throat (ST); however, antibiotic prescription rates are much higher than ST prevalence, suggesting antibiotics are being inappropriately prescribed. Current rapid ST diagnostics may be contributing to this problem due to the low sensitivity and variable specificity of these tests. It is best practice to verify a negative ST diagnosis with a group A Streptococcus (GAS) culture, but many clinics do not perform this test due to the additional cost and 24–72 h required to obtain results. This indicates there is great need for more accurate rapid diagnostic tools in outpatient facilities. We hypothesized that next generation qPCR technology could be adapted to detect GAS DNA from saliva samples (instead of the traditional throat swab) by creating a simple, fast, and inexpensive protocol. Saliva specimens collected from patients at James Madison University Health Center were used to test the effectiveness of our Chelex 100-based rapid DNA extraction method, followed by a fast protocol developed for the Open qPCR machine to accurately detect ST. Our final saliva processing and qPCR protocol required no specialized training to perform and was able to detect ST with 100 % sensitivity and 100 % specificity (n=102) in 22–26 min, costing only $1.12 per sample. Saliva can be rapidly analyzed via qPCR for the accurate and inexpensive detection of ST. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2194802X
Volume :
11
Issue :
2
Database :
Academic Search Index
Journal :
Diagnosis (2194-802X)
Publication Type :
Academic Journal
Accession number :
177089362
Full Text :
https://doi.org/10.1515/dx-2023-0134