External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients
Objectives: Predictive scores are important tools for the triage of patients with coronavirus disease 2019. The PRIORITY score is advantageous because it does not require laboratory and radiologic information. However, the original development and validation cohorts studied only unvaccinated patient...
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sg-ntu-dr.10356-1638522022-12-20T02:51:37Z External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients Ong, Sean Wei Xiang Tham, Sai Meng Koh, Lin Pin Dugan, Christopher Khoo, Bo Yan Ren, Dongdong Sutjipto, Stephanie Lee, Pei Hua Young, Barnaby Edward Lye, David C. Lee Kong Chian School of Medicine (LKCMedicine) National Centre for Infectious Diseases, Singapore Tan Tock Seng Hospital Yong Loo Lin School of Medicine, NUS Science::Medicine COVID-19 Mortality Objectives: Predictive scores are important tools for the triage of patients with coronavirus disease 2019. The PRIORITY score is advantageous because it does not require laboratory and radiologic information. However, the original development and validation cohorts studied only unvaccinated patients in early 2020. We aimed to externally validate the PRIORITY score in a cohort of patients with the novel delta and omicron variants of coronavirus disease 2019 and mixed vaccination status. Methods: A total of 410 patients were included in a cross-sectional sampling of all patients admitted to the National Centre of Infectious Diseases on October 27, 2021. A further 102 and 136 patients with vaccine-breakthrough Delta and Omicron variant infection from April to August and December 2021, respectively, were also included. Variables at the time of admission were collected retrospectively from medical records and used to calculate the probability of deterioration using the PRIORITY model. Results: Of the total 648 included patients, 447 (69.0%) were vaccinated. The mean age was 61.6 years (standard deviation ± 19.0 years), and 268 patients (41.4%) were female. A total of 112 patients (17.3%) met the primary outcome of developing critical illness or mortality. The performance of the score in this cohort was comparable with the original cohorts, with an area under the receiver operating characteristic curve for all patients of 0.794 (95% CI, 0.752e0.835; p < 0.001), regression coefficient of 1.069, and intercept of 0.04. Subgroup analysis of unvaccinated and vaccinated patients showed that performance was superior in vaccinated individuals, with an area under the receiver operating characteristic curve of 0.684 (95% CI, 0.608e0.760; p < 0.0001) and 0.831 (95% CI, 0.772e0.891; p < 0.0001), respectively. Discussion: Our data support the continued use of the PRIORITY score in this era of novel variants and increased vaccination uptake. BEY reports personal fees from Roche and Sanofi outside of the submitted work. All other authors declare no competing interests. No additional funding was required for this study. 2022-12-20T02:51:37Z 2022-12-20T02:51:37Z 2022 Journal Article Ong, S. W. X., Tham, S. M., Koh, L. P., Dugan, C., Khoo, B. Y., Ren, D., Sutjipto, S., Lee, P. H., Young, B. E. & Lye, D. C. (2022). External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients. Clinical Microbiology and Infection, 28(6), 884.e1-884.e3. https://dx.doi.org/10.1016/j.cmi.2022.01.031 1198-743X https://hdl.handle.net/10356/163852 10.1016/j.cmi.2022.01.031 35150879 2-s2.0-85125447860 6 28 884.e1 884.e3 en Clinical Microbiology and Infection © 2022 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved. |
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Science::Medicine COVID-19 Mortality Ong, Sean Wei Xiang Tham, Sai Meng Koh, Lin Pin Dugan, Christopher Khoo, Bo Yan Ren, Dongdong Sutjipto, Stephanie Lee, Pei Hua Young, Barnaby Edward Lye, David C. External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
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Objectives: Predictive scores are important tools for the triage of patients with coronavirus disease 2019. The PRIORITY score is advantageous because it does not require laboratory and radiologic information. However, the original development and validation cohorts studied only unvaccinated patients in early 2020. We aimed to externally validate the PRIORITY score in a cohort of patients with the novel delta and omicron variants of coronavirus disease 2019 and mixed vaccination status.
Methods: A total of 410 patients were included in a cross-sectional sampling of all patients admitted to the National Centre of Infectious Diseases on October 27, 2021. A further 102 and 136 patients with vaccine-breakthrough Delta and Omicron variant infection from April to August and December 2021, respectively, were also included. Variables at the time of admission were collected retrospectively from medical records and used to calculate the probability of deterioration using the PRIORITY model.
Results: Of the total 648 included patients, 447 (69.0%) were vaccinated. The mean age was 61.6 years (standard deviation ± 19.0 years), and 268 patients (41.4%) were female. A total of 112 patients (17.3%) met the primary outcome of developing critical illness or mortality. The performance of the score in this cohort was comparable with the original cohorts, with an area under the receiver operating characteristic curve for all patients of 0.794 (95% CI, 0.752e0.835; p < 0.001), regression coefficient of 1.069, and intercept of 0.04. Subgroup analysis of unvaccinated and vaccinated patients showed that performance was superior in vaccinated individuals, with an area under the receiver operating characteristic curve of 0.684 (95% CI, 0.608e0.760; p < 0.0001) and 0.831 (95% CI, 0.772e0.891; p < 0.0001), respectively.
Discussion: Our data support the continued use of the PRIORITY score in this era of novel variants and increased vaccination uptake. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Ong, Sean Wei Xiang Tham, Sai Meng Koh, Lin Pin Dugan, Christopher Khoo, Bo Yan Ren, Dongdong Sutjipto, Stephanie Lee, Pei Hua Young, Barnaby Edward Lye, David C. |
format |
Article |
author |
Ong, Sean Wei Xiang Tham, Sai Meng Koh, Lin Pin Dugan, Christopher Khoo, Bo Yan Ren, Dongdong Sutjipto, Stephanie Lee, Pei Hua Young, Barnaby Edward Lye, David C. |
author_sort |
Ong, Sean Wei Xiang |
title |
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
title_short |
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
title_full |
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
title_fullStr |
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
title_full_unstemmed |
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients |
title_sort |
external validation of the priority model in predicting covid-19 critical illness in vaccinated and unvaccinated patients |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163852 |
_version_ |
1753801127763116032 |