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    Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.

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    Future Virology_PERIL Study_Nov 2023.pdf (1.362Mb)
    Date
    2023-10-01
    Author
    Mohammedain, Shahd A
    Badran, Saif
    Elzouki, AbdelNaser Y
    Salim, Halla
    Chalaby, Ayesha
    Siddiqui, Mya
    Hussein, Yehia Y
    Rahim, Hanan Abdul
    Thalib, Lukman
    Alam, Mohammed Fasihul
    Al-Badriyeh, Daoud
    Al-Maadeed, Sumaya
    Doi, Suhail Ar
    ...show more authors ...show less authors
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    Abstract
    This study aims to perform an external validation of a recently developed prognostic model for early prediction of the risk of progression to severe COVID-19. Patients were recruited at their initial diagnosis at two facilities within Hamad Medical Corporation in Qatar. 356 adults were included for analysis. Predictors for progression of COVID-19 were all measured at disease onset and first contact with the health system. The C statistic was 83% (95% CI: 78%-87%) and the calibration plot showed that the model was well-calibrated. The published prognostic model for the progression of COVID-19 infection showed satisfactory discrimination and calibration and the model is easy to apply in clinical practice.d.
    DOI/handle
    http://dx.doi.org/10.2217/fvl-2023-0036
    http://hdl.handle.net/10576/49725
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    • Computer Science & Engineering [‎2428‎ items ]
    • COVID-19 Research [‎848‎ items ]
    • Medicine Research [‎1759‎ items ]
    • Pharmacy Research [‎1399‎ items ]
    • Public Health [‎484‎ items ]

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