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Establishment of an in‐house real‐time RT‐PCR assay for the detection of severe acute respiratory syndrome coronavirus 2 using the first World Health Organization international standard in a resource‐limited country
- Source :
- Journal of Clinical Laboratory Analysis. 36
- Publication Year :
- 2022
- Publisher :
- Wiley, 2022.
-
Abstract
- The COVID-19 pandemic caused by SARS-CoV-2 remains public health burdens and many unresolved issues worldwide. Molecular assays based on real-time RT-PCR are critical for the detection of SARS-CoV-2 in clinical specimens from patients suspected of COVID-19.We aimed to establish and validate an in-house real-time RT-PCR for the detection of SARS-CoV-2.Primers and probes sets in our in-house real-time RT-PCR assay were designed in conserved regions of the N and E target genes. Optimized multiplex real-time RT-PCR assay was validated using the first WHO International Standard (NIBSC code: 20/146) and evaluated clinical performance.The limit of detection validated using the first WHO International Standard was 159 IU/ml for both E and N target genes. The evaluation of clinical performance on 170 clinical samples showed a positive percent agreement of 100% and the negative percent agreement of 99.08% for both target genes. The Kappa value of 0.99 was an excellent agreement, the strong correlation of CIn the present study, we established and validated an in-house real-time RT-PCR for molecular detection of SARS-CoV-2 in a resource-limited country.
- Subjects :
- Microbiology (medical)
Reverse Transcriptase Polymerase Chain Reaction
SARS-CoV-2
Biochemistry (medical)
Clinical Biochemistry
Public Health, Environmental and Occupational Health
COVID-19
Hematology
World Health Organization
Sensitivity and Specificity
Medical Laboratory Technology
Nasopharynx
Humans
Immunology and Allergy
Pandemics
Subjects
Details
- ISSN :
- 10982825 and 08878013
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Laboratory Analysis
- Accession number :
- edsair.doi.dedup.....74a8b816df913b9a1f8b167349dd76ff