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

被引:0
作者
Mohammedain, Shahd A. [1 ]
Badran, Saif [1 ,2 ]
Elzouki, AbdelNaser Y. [3 ]
Salim, Halla [3 ]
Chalaby, Ayesha [3 ]
Siddiqui, Mya [3 ]
Hussein, Yehia Y. [1 ]
Rahim, Hanan Abdul [4 ]
Thalib, Lukman [5 ]
Alam, Mohammed Fasihul [4 ]
Al-Badriyeh, Daoud [6 ]
Al-Maadeed, Sumaya [7 ]
Doi, Suhail A. R. [1 ]
机构
[1] Qatar Univ, Coll Med, Dept Populat Med, QU Hlth, Doha, Qatar
[2] Hamad Med Corp, Dept Plast Surg, Doha, Qatar
[3] Hamad Med Corp, Hamad Gen Hosp, Dept Internal Med, Doha, Qatar
[4] Qatar Univ, Coll Hlth Sci, Dept Publ Hlth, QU Hlth, Doha, Qatar
[5] Istanbul Aydin Univ, Fac Med, Dept Biostat, Istanbul, Turkiye
[6] Qatar Univ, Coll Pharm, QU Hlth, Doha, Qatar
[7] Qatar Univ, Coll Engn, Dept Comp Sci, Doha, Qatar
关键词
COVID-19; disease severity; prognosis; risk prediction; PNEUMONIA; PROGRESSION; MORTALITY; EXPLANATION; SARS-COV-2; SCORE;
D O I
10.2217/fvl-2023-0036
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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
引用
收藏
页码:991 / 1000
页数:10
相关论文
共 39 条
[11]   Development and external validation of a prediction risk model for short-term mortality among hospitalized US COVID-19 patients: A proposal for the COVID-AID risk tool [J].
Hajifathalian, Kaveh ;
Sharaiha, Reem Z. ;
Kumar, Sonal ;
Krisko, Tibor ;
Skaf, Daniel ;
Ang, Bryan ;
Redd, Walker D. ;
Zhou, Joyce C. ;
Hathorn, Kelly E. ;
McCarty, Thomas R. ;
Bazarbashi, Ahmad Najdat ;
Njie, Cheikh ;
Wong, Danny ;
Shen, Lin ;
Sholle, Evan ;
Cohen, David E. ;
Brown, Robert S., Jr. ;
Chan, Walter W. ;
Fortune, Brett E. .
PLOS ONE, 2020, 15 (09)
[12]   Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis [J].
Hu, Haifeng ;
Du, Hong ;
Li, Jing ;
Wang, Yage ;
Wu, Xiaoqing ;
Wang, Chunfu ;
Zhang, Ye ;
Zhang, Gufen ;
Zhao, Yanyan ;
Kang, Wen ;
Lian, Jianqi .
JOURNAL OF GLOBAL HEALTH, 2020, 10 (02)
[13]  
Huang H, 2020, medRxiv, DOI 10.1101/2020.03.28.20045989
[14]   Individualized prediction nomograms for disease progression in mild COVID-19 [J].
Huang, Jiaofeng ;
Cheng, Aiguo ;
Lin, Su ;
Zhu, Yueyong ;
Chen, Gongping .
JOURNAL OF MEDICAL VIROLOGY, 2020, 92 (10) :2074-2080
[15]   A biomarker based severity progression indicator for COVID-19: the Kuwait prognosis indicator score [J].
Jamal, Mohammad H. ;
Doi, Suhail A. ;
AlYouha, Sarah ;
Almazeedi, Sulaiman ;
Al-Haddad, Mohannad ;
Al-Muhaini, Ali ;
Al-Ghimlas, Fahad ;
Chowdhury, Muhammad E. ;
Al-Sabah, Salman .
BIOMARKERS, 2020, 25 (08) :641-648
[16]   Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19 [J].
Jehi, Lara ;
Ji, Xinge ;
Milinovich, Alex ;
Erzurum, Serpil ;
Merlino, Amy ;
Gordon, Steve ;
Young, James B. ;
Kattan, Michael W. .
PLOS ONE, 2020, 15 (08)
[17]   Prediction for Progression Risk in Patients With COVID-19 Pneumonia: The CALL Score [J].
Ji, Dong ;
Zhang, Dawei ;
Xu, Jing ;
Chen, Zhu ;
Yang, Tieniu ;
Zhao, Peng ;
Chen, Guofeng ;
Cheng, Gregory ;
Wang, Yudong ;
Bi, Jingfeng ;
Tan, Lin ;
Lau, George ;
Qin, Enqiang .
CLINICAL INFECTIOUS DISEASES, 2020, 71 (06) :1393-1399
[18]   An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study [J].
Kim, Hyung-Jun ;
Han, Deokjae ;
Kim, Jeong-Han ;
Kim, Daehyun ;
Ha, Beomman ;
Seog, Woong ;
Lee, Yeon-Kyeng ;
Lim, Dosang ;
Hong, Sung Ok ;
Park, Mi-Jin ;
Heo, JoonNyung .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (11)
[19]   Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score [J].
Knight, Stephen R. ;
Ho, Antonia ;
Pius, Riinu ;
Buchan, Iain ;
Carson, Gail ;
Drake, Thomas M. ;
Dunning, Jake ;
Fairfield, Cameron J. ;
Gamble, Carrol ;
Green, Christopher A. ;
Gupta, Rishi ;
Halpin, Sophie ;
Hardwick, Hayley E. ;
Holden, Karl A. ;
Horby, Peter W. ;
Jackson, Clare ;
Mclean, Kenneth A. ;
Merson, Laura ;
Nguyen-Van-Tam, Jonathan S. ;
Norman, Lisa ;
Noursadeghi, Mahdad ;
Olliaro, Piero L. ;
Pritchard, Mark G. ;
Russell, Clark D. ;
Shaw, Catherine A. ;
Sheikh, Aziz ;
Solomon, Tom ;
Sudlow, Cathie ;
Swann, Olivia, V ;
Turtle, Lance C. W. ;
Openshaw, Peter J. M. ;
Baillie, J. Kenneth ;
Semple, Malcolm G. ;
Docherty, Annemarie B. ;
Harrison, Ewen M. .
BMJ-BRITISH MEDICAL JOURNAL, 2020, 370
[20]   CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients [J].
Liu, Fengjun ;
Zhang, Qi ;
Huang, Chao ;
Shi, Chunzi ;
Wang, Lin ;
Shi, Nannan ;
Fang, Cong ;
Shan, Fei ;
Mei, Xue ;
Shi, Jing ;
Song, Fengxiang ;
Yang, Zhongcheng ;
Ding, Zezhen ;
Su, Xiaoming ;
Lu, Hongzhou ;
Zhu, Tongyu ;
Zhang, Zhiyong ;
Shi, Lei ;
Shi, Yuxin .
THERANOSTICS, 2020, 10 (12) :5613-5622