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10.1016/j.cca.2020.10.032

http://scihub22266oqcxt.onion/10.1016/j.cca.2020.10.032
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33159953!7641518!33159953
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suck abstract from ncbi


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pmid33159953      Clin+Chim+Acta 2020 ; 511 (ä): 346-351
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  • Digital PCR is a sensitive new technique for SARS-CoV-2 detection in clinical applications #MMPMID33159953
  • Jiang Y; Wang H; Hao S; Chen Y; He J; Liu Y; Chen L; Yu Y; Hua S
  • Clin Chim Acta 2020[Dec]; 511 (ä): 346-351 PMID33159953show ga
  • The global coronavirus disease 2019 (COVID-19) pandemic has posed great challenges in people's daily lives. Highly sensitive laboratory techniques played a critical role in clinical COVID-19 diagnosis and management. In this study the feasibility of using a new digital PCR-based detection assay for clinical COVID-19 diagnosis was investigated by comparing its performance with that of RT-PCR. Clinical patient samples and samples obtained from potentially contaminated environments were analyzed. The study included 10 patients with confirmed COVID-19 diagnoses, 32 validated samples of various types derived from different clinical timepoints and sites, and 148 environmentally derived samples. SARS-CoV-2 nucleic acids were more readily detected in respiratory tract samples (35.0%). In analyses of environmentally derived samples, the positivity rate of air samples was higher than that of surface samples, probably due to differences in virus concentrations. Digital PCR detected SARS-CoV-2 in several samples that had previously been deemed negative, including 3 patient-derived samples and 5 environmentally derived samples. In this study digital PCR exhibited higher sensitivity than conventional RT-PCR, suggesting that it may be a useful new method for clinical SARS-CoV-2 detection. Improvement of SARS-CoV-2 detection would substantially reduce the rates of false-negative COVID-19 test results, in particular those pertaining to asymptomatic carriers.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/*diagnostic imaging/*genetics[MESH]
  • |Digital Technology/*standards/trends[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Real-Time Polymerase Chain Reaction/*standards/trends[MESH]
  • |Reproducibility of Results[MESH]


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