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Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.

Ash K CliftCarol A C CouplandRuth H KeoghKarla Diaz-OrdazElizabeth WilliamsonEwen M HarrisonAndrew HaywardHarry HemingwayPeter HorbyNisha MehtaJonathan BengerKamlesh KhuntiDavid SpiegelhalterAziz SheikhJonathan ValabhjiRonan A LyonsJohn RobsonMalcolm G SempleFrank KeePeter JohnsonSusan JebbTony WilliamsJulia Hippisley-Cox
Published in: BMJ (Clinical research ed.) (2020)
The QCOVID population based risk algorithm performed well, showing very high levels of discrimination for deaths and hospital admissions due to covid-19. The absolute risks presented, however, will change over time in line with the prevailing SARS-C0V-2 infection rate and the extent of social distancing measures in place, so they should be interpreted with caution. The model can be recalibrated for different time periods, however, and has the potential to be dynamically updated as the pandemic evolves.
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