Selected article for: "diagnosis standard and viral load"

Author: Sun, Yong; Ding, Chengchao; Chen, Qingqing; Xie, Jiajia; Yu, Junling; Shi, Yonglin; Jiang, Chengcheng; Zhang, Zhuhui; He, Hongliang; Ge, Yinglu; Li, Wenting; He, Jun; Gao, Yong
Title: Digital PCR assay for the effective detection of COVID-19 patients with SARS-CoV-2 low viral load
  • Cord-id: bhelxxin
  • Document date: 2021_5_26
  • ID: bhelxxin
    Snippet: OBJECTIVE: Viral nucleic acid detection by real-time reverse transcription polymerase chain reaction (qPCR) is the current standard method for diagnosis of SARS-CoV-2 infection. However, due to low viral load in some COVID-19 patients, false negative results from this method have been repeatedly reported. METHOD: In this study, we compared the sensitivity and specificity of digital PCR (dPCR) in simulated samples and clinical samples with qPCR assay through a series of vigorous tests. RESULTS: T
    Document: OBJECTIVE: Viral nucleic acid detection by real-time reverse transcription polymerase chain reaction (qPCR) is the current standard method for diagnosis of SARS-CoV-2 infection. However, due to low viral load in some COVID-19 patients, false negative results from this method have been repeatedly reported. METHOD: In this study, we compared the sensitivity and specificity of digital PCR (dPCR) in simulated samples and clinical samples with qPCR assay through a series of vigorous tests. RESULTS: The results showed that dPCR was more sensitive than qPCR especially for samples with low viral load (≤3 copies). In addition, dPCR had similar specificity as qPCR and could effectively distinguish other human coronaviruses and influenza virus from SARS-CoV-2. More importantly, dPCR was more sensitive than qPCR in detecting the virus in the “negative” samples from recurrent COVID-19 patients. CONCLUSIONS: In summary, dPCR could serve as a powerful complement to the current qPCR method for SARS-CoV-2 detection, especially for the samples with extremely low viral load, such as recurrent COVID-19 patients.

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