Clinical Performance of Self-Collected Purified Water Gargle for Detection of Influenza a Virus Infection by Real-Time RT-PCR.
Infect Drug Resist
; 17: 1903-1910, 2024.
Article
in En
| MEDLINE
| ID: mdl-38766678
ABSTRACT
Purpose:
Self-collected specimens are increasingly being used as alternatives to swab-based methods for the detection of respiratory viruses. While saliva is well accepted, gargle specimens are a potential alternative with characteristics that are more favorable for laboratory handling. This study assessed the performance of gargle specimens in the detection of influenza A viruses (IAVs). Patients andMethods:
We performed a prospective head-to-head comparison between combined nasopharyngeal and oropharyngeal swabs (NPS&OPS) and purified water gargle (PWG) among adult outpatients with febrile respiratory symptoms to detect IAVs using real-time RT-PCR during two influenza seasons.Results:
During study periods 1 (July 13 to 26, 2022, H3N2 predominated) and 2 (February 25 to March 10, 2023, H1N1 pdm09 predominated), a total of 459 patients were recruited. The overall agreement between the NPS&OPS and PWG was 85.0% (390/459, κ = 0.697), with 88.0% in period 1 and 82.6% in period 2. The detection rate of IAVs in PWG (51.6%, 237/459) was lower than that in NPS&OPS (62.3%, 286/459) (p < 0.0001). The overall sensitivity and specificity were 96.6% (93.7-98.3%) and 100% (97.1-100%) in NPS&OPS and were 80.1% (75.0-84.4%) and 100% (97.1-100%) in PWG, respectively. Among the 227 pairs of concordant positive specimens, cycle threshold (Ct) values were significantly lower in NPS&OPS than in PWG (median Ct values 24.2, 28.2, p < 0.0001).Conclusion:
Although self-collected PWG specimens offer acceptable performance for IAVs molecular testing, NPS&OPS remain a reliable option. Given the convenience of collection, nonviscous gargles are recommended for viral detection during emergencies or under specific conditions.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Infect Drug Resist
Year:
2024
Document type:
Article