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Modelling RT-qPCR cycle-threshold using digital PCR data for implementing SARS-CoV-2 viral load studies.

Fabio GentiliniMaria Elena TurbaFrancesca TaddeiTommaso GrittiMichela FantiniGiorgio DiraniVittorio Sambri
Published in: PloS one (2021)
The modelling of the cycle threshold values using digital PCR had the potential of fostering studies addressing issues regarding Sars-CoV-2; furthermore, it may allow setting up predictive tools capable of early identifying those patients at high risk of case-fatality already at diagnosis, irrespective of the diagnostic RT-qPCR platform in use. Depending upon the epidemiological situation, public health authority policies/aims, the resources available and the thresholds used, adequate sensitivity could be achieved with acceptable low specificity.
Keyphrases
  • sars cov
  • public health
  • respiratory syndrome coronavirus
  • case control
  • high throughput
  • electronic health record
  • real time pcr
  • quality improvement
  • risk assessment
  • coronavirus disease