» Articles » PMID: 36091480

Evaluation of Factors Contributing to Variability of Qualitative and Quantitative Proficiency Testing for SARS-CoV-2 Nucleic Acid Detection

Overview
Journal Biosaf Health
Date 2022 Sep 12
PMID 36091480
Authors
Affiliations
Soon will be listed here.
Abstract

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to unprecedented social and economic disruption. Many nucleic acid testing (NAT) laboratories in China have been established to control the epidemic better. This proficiency testing (PT) aims to evaluate the participants' performance in qualitative and quantitative SARS-CoV-2 NAT and to explore the factors that contribute to differences in detection capabilities. Two different concentrations of RNA samples (A, B) were used for quantitative PT. Pseudovirus samples D, E (different concentrations) and negative sample (F) were used for qualitative PT. 50 data sets were reported for qualitative PT, of which 74.00% were entirely correct for all samples. Forty-two laboratories participated in the quantitative PT. 37 submitted all gene results, of which only 56.76% were satisfactory. For qualitative detection, it is suggested that laboratories should strengthen personnel training, select qualified detection kits, and reduce cross-contamination to improve detection accuracy. For quantitative detection, the results of the reverse transcription digital PCR (RT-dPCR) method were more comparable and reliable than those of reverse transcription quantitative PCR (RT-qPCR). The copy number concentration of ORF1ab and N in samples A and B scattered in 85, 223, 50, and 106 folds, respectively. The differences in the quantitative result of RT-qPCR was mainly caused by the non-standard use of reference materials and the lack of personnel operating skills. Comparing the satisfaction of participants participating in both quantitative and qualitative proficiency testing, 95.65% of the laboratories with satisfactory quantitative results also judged the qualitative results correctly, while 85.71% of the laboratories with unsatisfactory quantitative results were also unsatisfied with their qualitative judgments. Therefore, the quantitative ability is the basis of qualitative judgment. Overall, participants from hospitals reported more satisfactory results than those from enterprises and universities. Therefore, surveillance, daily qualitiy control and standardized operating procedures should be strengthened to improve the capability of SARS-CoV-2 NAT.

References
1.
Lu R, Zhao X, Li J, Niu P, Yang B, Wu H . Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020; 395(10224):565-574. PMC: 7159086. DOI: 10.1016/S0140-6736(20)30251-8. View

2.
Kaur H, Mukhopadhyay L, Aggarwal N, Gupta N, Narayan J, Vijay N . Inter-laboratory testing as a strategy for external quality assessment for qualitative detection of SARS-CoV-2 by real-time RT-PCR testing in India. Indian J Med Res. 2022; 155(1):86-90. PMC: 9552377. DOI: 10.4103/ijmr.ijmr_2433_21. View

3.
Corman V, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu D . Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020; 25(3). PMC: 6988269. DOI: 10.2807/1560-7917.ES.2020.25.3.2000045. View

4.
Lai C, Lam W . Laboratory testing for the diagnosis of COVID-19. Biochem Biophys Res Commun. 2020; 538:226-230. PMC: 7598306. DOI: 10.1016/j.bbrc.2020.10.069. View

5.
Vierbaum L, Wojtalewicz N, Grunert H, Lindig V, Duehring U, Drosten C . RNA reference materials with defined viral RNA loads of SARS-CoV-2-A useful tool towards a better PCR assay harmonization. PLoS One. 2022; 17(1):e0262656. PMC: 8775330. DOI: 10.1371/journal.pone.0262656. View