| Literature DB >> 33295640 |
Debdutta Bhattacharya1, Debaprasad Parai1, Usha K Rout1, Pujarini Dash1, Rashmi R Nanda1, Girish C Dash1, Srikanta Kanungo1, Subrata K Palo1, Sidhartha Giri1, Hari R Choudhary1, Jaya S Kshatri1, Jyotirmayee Turuk1, Bijay K Mishra1, Rajesh K Lenka2, Saroj Dash1, Sanghamitra Pati1.
Abstract
There are very few studies in search of an alternate and convenient diagnostic tool which can substitute nasopharyngeal swab (NPS) specimen for detection of SARS-CoV-2. In the study we analyzed, the comparison and agreement between the feasibility of using the saliva in comparison to NPS for diagnosis of SARS-CoV-2. A total number of 74 patients were enrolled for this study. We analyzed and compared the NPS and saliva specimen collected within 48 h after the symptom onset. We carried out real-time quantitative polymerase chain reaction, gene sequencing for the detection and determination SARS-CoV-2 specific genes. Phylogenetic tree was constructed to establish the isolation of viral RNA from saliva. We used the Bland-Altman model to identify the agreement between two specimens. This study showed a lower cycle threshold (CT ) mean value for the detection of SARS-CoV-2 ORF1 gene (mean, 27.07; 95% confidence interval [CI], 25.62 to 28.52) in saliva methods than that of NPS (mean 28.24; 95% CI, 26.62 to 29.85) specimen although the difference is statistically nonsignificant (p > .05). Bland-Altman analysis produced relatively smaller bias and high agreement between these two clinical specimens. Phylogenetic analysis with the RdRp and S gene confirmed the presence of SARS-CoV-2 in the saliva samples. Saliva represented a promising tool in COVID-19 diagnosis and the collection method would reduce the exposure risk of frontline health workers which is one of the major concerns in primary healthcare settings.Entities:
Keywords: Bland-Altman analysis; COVID-19; SARS-CoV-2; nasopharyngeal swab; saliva
Year: 2020 PMID: 33295640 DOI: 10.1002/jmv.26719
Source DB: PubMed Journal: J Med Virol ISSN: 0146-6615 Impact factor: 2.327