Diagnostic Performance, Stability, and Usability of Self-Collected Combo Swabs and Saliva for Coronavirus Disease 2019 Diagnosis: A Case-Control Studyopen access
- Authors
- Choi, Seong Jin; Jung, Jongtak; Kim, Eu Suk; Bin Kim, Hong; Park, Jeong Su; Park, Kyoung Un; Lee, Hyunju; Lee, Eunyoung; Choe, Pyoeng Gyun; Kim, Ji-Yeon; Lee, Eun Joo; Song, Kyoung-Ho
- Issue Date
- Sep-2022
- Publisher
- Korean Society of Infectious Diseases; Korean Society for Antimicrobial Therapy
- Keywords
- SARS-CoV-2; COVID-19; Self sampling; Self-collected specimens
- Citation
- Infection and Chemotherapy, v.54, no.3, pp 517 - 528
- Pages
- 12
- Journal Title
- Infection and Chemotherapy
- Volume
- 54
- Number
- 3
- Start Page
- 517
- End Page
- 528
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21899
- DOI
- 10.3947/ic.2022.0081
- ISSN
- 2093-2340
2092-6448
- Abstract
- Background: Self-sampling procedures to detect severe acute respiratory syndrome coronavirus 2 is important for patients who have difficulty visiting the hospital and may decrease the burden for health care workers (HCWs). The objective of this study was to evaluate the diagnostic performance, stability and usability of self-collected nasal and oral combo swabs and saliva specimens. Materials and Methods: We conducted a case-control study with 50 patients with coronavirus disease 2019 (COVID-19) and 50 healthy volunteers from March, 2021 to June, 2021. We performed real-time reverse-transcription polymerase chain reaction to compare the diagnostic performance of self-collected specimens using positive percent agreements (PPAs).Results: The PPAs between self-collected and HCW-collected specimens were 77.3 -81.0% and 80.5-86.7% for the combo swabs and saliva specimens, respectively. The PPAs increased to 88.9 -89.2% and 81.2 -82.1% with a cycle threshold value <= 30.Conclusion: The diagnostic performance of self sampling was comparable to that of HCW sampling in patients with high viral loads and may thus assist in the early diagnosis of COVID-19.
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Collections - College of Medicine > Department of Internal Medicine > 1. Journal Articles
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