Shahd A Mohammedain, Saif Badran, AbdelNaser Y Elzouki, Halla Salim, Ayesha Chalaby, Mya Siddiqui, Yehia Y Hussein, Hanan Abdul Rahim, Lukman Thalib, Mohammed Fasihul Alam, Daoud Al-Badriyeh, Sumaya Al-Maadeed, Suhail Ar Doi
{"title":"Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.","authors":"Shahd A Mohammedain, Saif Badran, AbdelNaser Y Elzouki, Halla Salim, Ayesha Chalaby, Mya Siddiqui, Yehia Y Hussein, Hanan Abdul Rahim, Lukman Thalib, Mohammed Fasihul Alam, Daoud Al-Badriyeh, Sumaya Al-Maadeed, Suhail Ar Doi","doi":"10.2217/fvl-2023-0036","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> 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. <b>Patients & methods/materials:</b> 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. <b>Results:</b> The C statistic was 83% (95% CI: 78%-87%) and the calibration plot showed that the model was well-calibrated. <b>Conclusion:</b> 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.</p>","PeriodicalId":12505,"journal":{"name":"Future Virology","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630949/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Virology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/fvl-2023-0036","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"VIROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
Future Virology is a peer-reviewed journal that delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for this ever-expanding area of research. It is an interdisciplinary forum for all scientists working in the field today.
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