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

Shahd A MohammedainSaif BadranAbdelNaser Y ElzoukiHalla SalimAyesha ChalabyMya SiddiquiYehia Y HusseinHanan Abdul RahimLukman ThalibMohammed Fasihul AlamDaoud Al-BadriyehSumaya Al-MaadeedSuhail A R Doi
Published in: Future virology (2023)
Aim: 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 & methods/materials: 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. Results: The C statistic was 83% (95% CI: 78%-87%) and the calibration plot showed that the model was well-calibrated. Conclusion: 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.
Keyphrases
  • sars cov
  • coronavirus disease
  • clinical practice
  • healthcare
  • end stage renal disease
  • chronic kidney disease
  • newly diagnosed
  • prognostic factors