The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens
Open accessAbstract
Abstract Real time fluorescent quantitative PCR (RT-PCR) is widely used as the gold standard for clinical detection of SARS-CoV-2. However, due to the low viral load in patient throats and the limitations of RT-PCR, significant numbers of false negative reports are inevitable, which results in failure to timely diagnose, early treat, cut off transmission, and assess discharge criteria. To improve this situation, an optimized droplet digital PCR (ddPCR) was used for detection of SARS-CoV-2, which showed that the limit of detection of ddPCR is significantly lower than that of RT-PCR. We further explored the feasibility of ddPCR to detect SARS-CoV-2 nucleic acid from 77 clinical throat swab samples, including 63 suspected outpatients with fever and 14 supposed convalescents who were about to discharge after treatment, and compared with RT-PCR in terms of the diagnostic accuracy. In this double-blind study, we tested, surveyed subsequently and statistically analyzed 77 clinical samples. According to our study, 26 samples from COVID-19 patients with RT-PCR negative were detected as positive by ddPCR. No FPRs of RT-PCR and ddPCR were observed. The sensitivity, specificity, PPV, NPV, NLR and accuracy were improved from 40% (95% CI: 27–55%), 100% (95% CI: 54–100%), 100%, 16% (95% CI: 13–19%), 0.6 (95% CI: 0.48–0.75) and 47% (95% CI: 33–60%) for RT-PCR to 94% (95% CI: 83–99%), 100% (95% CI: 48–100%), 100%, 63% (95% CI: 36–83%), 0.06 (95% CI: 0.02–0.18) and 95% (95% CI: 84–99%) for ddPCR, respectively. Moreover, 14 (42.9 %) convalescents still carry detectable SARS-CoV-2 after discharge. Overall, ddPCR shows superiority for clinical diagnosis of SARS-CoV-2 to reduce the false negative reports, which could be a powerful complement to the current standard RT-PCR. It also suggests that the current clinical practice that the convalescent after discharge continues to be quarantined for at least 2 weeks is completely necessary which can prevent potential viral transmission.
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A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
Self-citationHigh-throughput droplet digital PCR system for absolute quantitation of DNA copy number
Hindson, B. J., Ness, K. D., Masquelier, D. A., Belgrader, P., Heredia, N. J., Makarewicz, A. J., Bright, I. J., Lucero, M. Y., Hiddessen, A. L., Legler, T. C., et al. (2011) · Analytical Chemistry · doi:10.1021/ac202028g · Cited by 2,792
Vogelstein, B., & Kinzler, K. W. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.16.9236 · Cited by 1,770
Validation of Laboratory-Developed Molecular Assays for Infectious Diseases
Burd, E. M. (2010) · Clinical Microbiology Reviews · doi:10.1128/cmr.00074-09 · Cited by 550
van Schothorst, E. M., Flachs, P., Franssen-van Hal, N. L., Kuda, O., Bunschoten, A., Molthoff, J., Vink, C., Hooiveld, G. J., Kopecky, J., & Keijer, J. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-110 · Cited by 64
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Self-citationSARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area
Randazzo, W., Truchado, P., Cuevas-Ferrando, E., Simón, P., Allende, A., & Sánchez, G. (2020) · Water Research · doi:10.1016/j.watres.2020.115942 · Cited by 1,121
SARS-CoV-2 in wastewater: State of the knowledge and research needs
Kitajima, M., Ahmed, W., Bibby, K., Carducci, A., Gerba, C. P., Hamilton, K. A., Haramoto, E., & Rose, J. B. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139076 · Cited by 759
Esbin, M. N., Whitney, O. N., Chong, S., Maurer, A., Darzacq, X., & Tjian, R. (2020) · RNA · doi:10.1261/rna.076232.120 · Cited by 477
Convalescent plasma therapy for B-cell–depleted patients with protracted COVID-19
Hueso, T., Pouderoux, C., Péré, H., Beaumont, A.-L., Raillon, L.-A., Ader, F., Chatenoud, L., Eshagh, D., Szwebel, T.-A., Martinot, M., et al. (2020) · Blood · doi:10.1182/blood.2020008423 · Cited by 281
Metadata
- Authors
- Suo, T., Liu, X., Feng, J., Guo, M., Hu, W., Guo, D., Ullah, H., Yang, Y., Zhang, Q., Wang, X., Sajid, M., Huang, Z., Deng, L., Chen, T., Liu, F., Xu, K., Liu, Y., Zhang, Q., Liu, Y., Xiong, Y., Chen, G., Lan, K., & Chen, Y.
- Venue
- Emerging Microbes & Infections
- Publisher
- Informa UK Limited
- Published
- 2020-01
- Volume
- 9
- Issue
- 1
- Pages
- 1259-1268
- ISSN
- 2222-1751 (ISSN-L)
- OpenAlex
- W3027866910
- Cited by
- 450
- References
- 5
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- gold
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- Suo, T., Liu, X., Feng, J., Guo, M., Hu, W., Guo, D., Ullah, H., Yang, Y., Zhang, Q., Wang, X., Sajid, M., Huang, Z., Deng, L., Chen, T., Liu, F., Xu, K., Liu, Y., Zhang, Q., Liu, Y., . . . Chen, Y. (2020). ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens. Emerging Microbes & Infections. https://doi.org/10.1080/22221751.2020.1772678
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