Display options
Share it on

Infect Drug Resist. 2021 Aug 17;14:3255-3261. doi: 10.2147/IDR.S328327. eCollection 2021.

Clinical Comparison of Three Sample-to-Answer Systems for Detecting SARS-CoV-2 in B.1.1.7 Lineage Emergence.

Infection and drug resistance

Ming-Jr Jian, Hsing-Yi Chung, Chih-Kai Chang, Jung-Chung Lin, Kuo-Ming Yeh, Chien-Wen Chen, Shih-Yi Li, Shan-Shan Hsieh, Ming-Tsan Liu, Ji-Rong Yang, Sheng-Hui Tang, Cherng-Lih Perng, Feng-Yee Chang, Hung-Sheng Shang

Affiliations

  1. Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  2. Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  3. Division of Pulmonary and Critical Care Medicine, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.
  4. Centers for Disease Control, Taipei, Taiwan, Republic of China.

PMID: 34429623 PMCID: PMC8380303 DOI: 10.2147/IDR.S328327

Abstract

PURPOSE: Accurate molecular diagnostic assays for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, are needed for epidemiology studies and to support infection-control measures. We evaluated the analytical sensitivity and clinical performance of three sample-to-answer molecular-diagnostics systems for detecting SARS-CoV-2 using 325 nasopharyngeal swab clinical samples from symptomatic patients.

METHODS: The BioFire Respiratory Panel 2.1 (RP2.1), cobas Liat SARS-CoV-2 and Influenza A/B, and Cepheid Xpert Xpress SARS-CoV-2/Flu/RSV platforms, which have been granted emergency-use authorization by the US FDA, were tested and compared.

RESULTS: The positive percent agreement, negative percent agreement, and overall percent agreement among the three point of care testing systems were 98-100%, including for the wild-type SARS-CoV-2 (non-B.1.1.7) and a variant of concern (B.1.1.7). Notably, the BioFire RP2.1 may fail to detect the SARS-CoV-2

CONCLUSION: All three point of care testing platforms provided highly sensitive, robust, and almost accurate results for rapidly detecting SARS-CoV-2. These automated molecular diagnostic assays can increase the effectiveness of control and prevention measures for infectious diseases.

© 2021 Jian et al.

Keywords: COVID-19; SARS-CoV-2; molecular diagnostics; point of care testing; sample to answer; variant of concern

Conflict of interest statement

The authors declare no conflicts of interest for this work.

References

  1. ACS Sens. 2020 Aug 28;5(8):2283-2296 - PubMed
  2. Emerg Infect Dis. 2020 Jun;26(6):1324-1326 - PubMed
  3. J Clin Virol. 2020 Aug;129:104538 - PubMed
  4. J Clin Virol. 2020 Sep;130:104578 - PubMed
  5. Clin Microbiol Infect. 2020 Sep;26(9):1178-1182 - PubMed
  6. Infect Drug Resist. 2021 Mar 17;14:1049-1082 - PubMed
  7. Int J Infect Dis. 2020 May;94:119-124 - PubMed
  8. Lancet. 2020 Feb 1;395(10221):311 - PubMed
  9. Euro Surveill. 2021 Jan;26(1): - PubMed
  10. Infect Drug Resist. 2020 Aug 03;13:2657-2665 - PubMed
  11. Emerg Microbes Infect. 2020 Dec;9(1):747-756 - PubMed
  12. JAMA. 2020 Apr 7;323(13):1239-1242 - PubMed
  13. Emerg Microbes Infect. 2021 Dec;10(1):161-166 - PubMed
  14. Talanta. 2021 Apr 1;225:121898 - PubMed
  15. J Clin Microbiol. 2020 Aug 24;58(9): - PubMed
  16. Am J Clin Pathol. 2020 Jul 7;154(2):201-207 - PubMed
  17. Diagnostics (Basel). 2020 Apr 05;10(4): - PubMed
  18. J Clin Microbiol. 2020 Jul 23;58(8): - PubMed
  19. Clin Chim Acta. 2021 Mar;514:54-58 - PubMed
  20. J Med Virol. 2020 Oct;92(10):1699-1700 - PubMed
  21. Clin Microbiol Infect. 2021 Aug;27(8):1109-1117 - PubMed
  22. Infect Drug Resist. 2021 Mar 11;14:971-977 - PubMed
  23. Infect Drug Resist. 2020 Aug 26;13:3045-3053 - PubMed

Publication Types