4.7 Article

Sensitivity of different RT-qPCR solutions for SARS-CoV-2 detection

期刊

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ELSEVIER SCI LTD
DOI: 10.1016/j.ijid.2020.07.058

关键词

COVID-19; SARS-CoV-2; Diagnosis; False negatives; Solution comparisons; Sensitivity

资金

  1. Cabildo Insular de Tenerife [CGIEU0000219140]
  2. Instituto Tecnologico y de Energias Renovables (ITER) [OA17/008]
  3. Ministerio de Ciencia e Innovacion [RTI2018-093747-B-100, RTC-2017-6471-1]
  4. European Regional Development Fund (ERDF)
  5. Lab P2+ facility [UNLL10-3E-783]
  6. ERDF
  7. Fundacion CajaCanarias
  8. Spanish HIV/AIDS Research Network [RD16/0025/0011]
  9. Instituto de Salud Carlos III

向作者/读者索取更多资源

Objectives: The ongoing COVID-19 pandemic continues to impose demands on diagnostic screening. In anticipation that the recurrence of outbreaks and the measures for lifting the lockdown worldwide may cause supply chain issues over the coming months, this study assessed the sensitivity of a number of one-step retrotranscription and quantitative polymerase chain reaction (RT-qPCR) solutions to detect SARS-CoV-2. Methods: Six different RT-qPCR alternatives were evaluated for SARS-CoV-2/COVID-19 diagnosis based on standard RNA extractions. The one with best sensitivity was also assessed with direct nasopharyngeal swab viral transmission medium (VTM) heating; thus overcoming the RNA extraction step. Results: A wide variability in the sensitivity of RT-qPCR solutions was found that was associated with a range of false negatives from 2% (0.3-7.9%) to 39.8% (30.2-50.2%). Direct preheating of VTM combined with the best solution provided a sensitivity of 72.5% (62.5-81.0%), in the range of some of the solutions based on standard RNA extractions. Conclusions: Sensitivity limitations of currently used RT-qPCR solutions were found. These results will help to calibrate the impact of false negative diagnoses of COVID-19, and to detect and control new SARS-CoV-2 outbreaks and community transmissions. (c) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

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