๐ Quantitative Detection and Viral Load Analysis of SARS-CoV-2 in Infected Patients.
BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a public health emergency. The widely used reverse transcription PCR (RT-PCR) method has limitations for clinical diagnosis and treatment. METHODS: A total of 323 samples from 76 COVID-19 confirmed patients were analyzed by droplet digital PCR (ddPCR) and RT-PCR based two target genes (ORF1ab and N). Nasal swabs, throat swabs, sputum, blood, and urine were collected. Clinical and imaging data were obtained for clinical staging. RESULTS: In 95 samples tested positive by both methods, the cycle threshold (Ct) of RT-PCR was highly correlated with the copy numbed of ddPCR (ORF1ab gene, R2 = 0.83; N gene, R2 = 0.87). 4 (4/161) negative and 41 (41/67) single-gene positive samples tested by RT-PCR were positive according to ddPCR with viral load ranging from 11.1 to 123.2 copies/test. Then the viral load of respiratory samples was compared and the average viral load in sputum (17429 +/- 6920 copies/test) was found to be significantly higher than in throat swabs (2552 +/- 1965 copies/test, p < 0.001) and nasal swabs (651 +/- 501 copies/test, p < 0.001). Furthermore, the viral load in the early and progressive stages were significantly higher than that in the recovery stage (46800 +/- 17272 vs 1252 +/- 1027, p < 0.001) analyzed by sputum samples. CONCLUSIONS: Quantitative monitoring of viral load in lower respiratory tract samples helps to evaluate disease progression, especially in cases of low viral load.
keywords
๐ COVID-19 (1240)
๐ RT-PCR (421)
๐ SARS-CoV-2 (551)
๐ Viral load (91)
๐ ddPCR (2)
๐ significantly higher (104)
๐ public health (392)
๐ reverse transcription (205)
๐ respiratory tract (344)
๐ nasal swab (58)
๐ viral load (91)
๐ throat swab (43)
author
๐ค Yu, Fengting
๐ค Yan, Liting
๐ค Wang, Nan
๐ค Yang, Siyuan
๐ค Wang, Linghang
๐ค Tang, Yunxia
๐ค Gao, Guiju
๐ค Wang, Sa
๐ค Ma, Chengjie
๐ค Xie, Ruming
๐ค Wang, Fang
๐ค Tan, Chianru
๐ค Zhu, Lingxiang
๐ค Guo, Yong
๐ค Zhang, Fujie
year
โฐ 2020
journal
๐ Clin Infect Dis
issn
๐
volume
number
page
citedbycount
0
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