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

Author:

Mohammedain Shahd A1,Badran Saif12,Elzouki AbdelNaser Y3,Salim Halla3,Chalaby Ayesha3,Siddiqui MYA3,Hussein Yehia Y1ORCID,Rahim Hanan Abdul4,Thalib Lukman5,Alam Mohammed Fasihul4,Al-Badriyeh Daoud6ORCID,Al-Maadeed Sumaya7,Doi Suhail AR1ORCID

Affiliation:

1. Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar

2. Department of Plastic Surgery, Hamad Medical Corporation, Doha, Qatar

3. Department of Internal Medicine Hamad General Hospital Hamad Medical Corporation, Doha, Qatar

4. Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, Qatar

5. Department of Biostatistics, Faculty of Medicine, Istanbul Aydin University, Istanbul, Turkey

6. College of Pharmacy, QU Health, Qatar University, Doha, Qatar

7. Department of Computer Science, College of Engineering, Qatar University, Doha, Qatar

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

Funder

Qatar University Emergency Response Grant

Publisher

Future Medicine Ltd

Subject

Virology

Reference39 articles.

1. CDC Museum COVID-19 Timeline (2023). www.cdc.gov/museum/timeline/covid19.html

2. WHO Coronavirus Disease (COVID-19) Dashboard (2021). https://covid19.who.int

3. Economic Burden of COVID-19: A Systematic Review

4. The outbreak of COVID-19 coronavirus and its impact on global mental health

5. Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3