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المؤلفMohammedain, Shahd A
المؤلفBadran, Saif
المؤلفElzouki, AbdelNaser Y
المؤلفSalim, Halla
المؤلفChalaby, Ayesha
المؤلفSiddiqui, Mya
المؤلفHussein, Yehia Y
المؤلفRahim, Hanan Abdul
المؤلفThalib, Lukman
المؤلفAlam, Mohammed Fasihul
المؤلفAl-Badriyeh, Daoud
المؤلفAl-Maadeed, Sumaya
المؤلفDoi, Suhail Ar
تاريخ الإتاحة2023-11-28T05:00:09Z
تاريخ النشر2023-10-01
اسم المنشورFuture Virology
المعرّفhttp://dx.doi.org/10.2217/fvl-2023-0036
الاقتباسMohammedain SA, Badran S, Elzouki AY, Salim H, Chalaby A, Siddiqui M, Hussein YY, Rahim HA, Thalib L, Alam MF, Al-Badriyeh D, Al-Maadeed S, Doi SA. Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study. Future Virol. 2023 Oct:10.2217/fvl-2023-0036. doi: 10.2217/fvl-2023-0036. Epub 2023 Nov 7. PMID: 37970094; PMCID: PMC10630949.
الرقم المعياري الدولي للكتاب1746-0794
معرّف المصادر الموحدhttp://hdl.handle.net/10576/49725
الملخصThis 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.
راعي المشروعThis study was approved by the medical ethics committee of Qatar University and Hamad Medical Corporation (protocol nuos. QU-IEB 1434-E/20 and MRC 05-137, respectively) and written informed consent was obtained from all participants.
اللغةen
الناشرFuture Medicine
الموضوعCOVID-19
disease severity
prognosis
risk prediction
العنوانValidation of a risk prediction model for COVID-19: the PERIL prospective cohort study.
النوعArticle
ESSN1746-0808
dc.accessType Open Access


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