| Literature DB >> 36118305 |
Kaoru Murakami1,2, Sumio Iwasaki3, Satoshi Oguri3, Kumiko Tanaka1, Rigel Suzuki4, Kasumi Hayasaka3, Shinichi Fujisawa3, Chiaki Watanabe3, Satoshi Konno5, Isao Yokota6, Takasuke Fukuhara4, Masaaki Murakami1,2,7, Takanori Teshima3,8.
Abstract
The Omicron emerged in November 2021 and became the predominant SARS-CoV-2 variant globally. It spreads more rapidly than ancestral lineages and its rapid detection is critical for the prevention of disease outbreaks. Antigen tests such as immunochromatographic assay (ICA) and chemiluminescent enzyme immunoassay (CLEIA) yield results more quickly than standard polymerase chain reaction (PCR). However, their utility for the detection of the Omicron variant remains unclear. We herein evaluated the performance of ICA and CLEIA in saliva from 51 patients with Omicron and 60 PCR negative individuals. The sensitivity and specificity of CLEIA were 98.0% (95%CI: 89.6-100.0%) and 100.0% (95%CI: 94.0-100.0%), respectively, with fine correlation with cycle threshold (Ct) values. The sensitivity and specificity of ICA were 58.8% (95%CI: 44.2-72.4%) and 100.0% (95%CI: 94.0-100.0%), respectively. The sensitivity of ICA was 100.0% (95%CI: 80.5-100.0%) when PCR Ct was less than 25. The Omicron can be efficiently detected in saliva by CLEIA. ICA also detects high viral load Omicron using saliva.Entities:
Keywords: ALP, alkaline phosphatase; CLEIA; CLEIA, chemiluminescent enzyme immunoassay; COVID-19; Ct, cycle threshold; ICA; ICA, immunochromatographic assay; Lumipulse; NPS, nasopharyngeal swab; PCR, polymerase chain reaction; RT-PCR, Real-time reverse transcription–quantitative PCR; SARS-CoV-2; Saliva; VOC, variant of concern
Year: 2022 PMID: 36118305 PMCID: PMC9472459 DOI: 10.1016/j.jcvp.2022.100109
Source DB: PubMed Journal: J Clin Virol Plus ISSN: 2667-0380
Fig. 1Flow diagram of participants.
Characteristics of individuals with Omicron variant confirmed by Sanger sequencing.
| Median age (range) | 41 (15-77) | |
|---|---|---|
| Gender | male | 24 (47.1%) |
| female | 27 (52.9%) | |
| Symptoms | yes | 37 (72.5%) |
| no | 14 (27.5%) | |
| Severity | mild | 34 (91.9%) |
| (n=37) | moderate | 3 (8.1%) |
| Severe | 0 | |
| Days after symptoms onset (range) | 3(1-22) |
Fig. 2Comparison of viral load between RT-PCR and CLEIA in saliva specimens. Scatter plot using blue circles between cycle threshold value by RT-PCR and antigen concentration by CLEIA in RT-PCR-positive saliva. Kendall's coefficient of concordance W for RT-PCR positive specimens as nonparametric intraclass correlation coefficient. Scatter plot using green crossed and violin plot of CLEIA antigen concentration in RT-PCR-negative saliva.
Fig. 3Comparison of RT-PCR and ICA in saliva specimens, (A) ICA positivity/negativity and Ct values of RT-PCR. Scatter plot, median and range of cycle threshold value by RT-PCR according to diagnosis of ICA. Blue circles and orange triangles represent ICA positive and negative samples, respectively. Green crosses represent RT-PCR negative saliva specimens. (B) Sensitivity when changing the positive cutoff of Ct value by RT-PCR. Sensitivity of ICA against the positive cutoff Ct value of RT-PCR plotted. Solid line and dashed lines indicate point estimates and its 95% confidence intervals, respectively.