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Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study.

Julia Hippisley-CoxKamlesh KhuntiAziz SheikhJonathan S Nguyen-Van-TamCarol A C Coupland
Published in: BMJ (Clinical research ed.) (2023)
The QCOVID4 risk algorithm, modelled from data during the period when the omicron variant of the SARS-CoV-2 virus was predominant in England, now includes vaccination dose and previous SARS-CoV-2 infection, and predicted covid-19 related death among people with a positive test result. QCOVID4 more accurately identified individuals at the highest levels of absolute risk for targeted interventions than the approach adopted by NHS Digital. QCOVID4 performed well and could be used for targeting treatments for covid-19 disease.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • coronavirus disease
  • emergency department
  • physical activity
  • machine learning
  • electronic health record
  • patient safety
  • big data
  • drug delivery
  • artificial intelligence