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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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Autores principales: 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 Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828384/
https://www.ncbi.nlm.nih.gov/pubmed/35150879
http://dx.doi.org/10.1016/j.cmi.2022.01.031
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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 Chien
author_facet 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 Chien
author_sort Ong, Sean Wei Xiang
collection PubMed
description 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, 0.752–0.835; 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, 0.608–0.760; p < 0.0001) and 0.831 (95% CI, 0.772–0.891; 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.
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spelling pubmed-88283842022-02-10 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 Chien Clin Microbiol Infect Research Note 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, 0.752–0.835; 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, 0.608–0.760; p < 0.0001) and 0.831 (95% CI, 0.772–0.891; 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. European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. 2022-06 2022-02-10 /pmc/articles/PMC8828384/ /pubmed/35150879 http://dx.doi.org/10.1016/j.cmi.2022.01.031 Text en © 2022 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Note
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 Chien
External validation of the PRIORITY model in predicting COVID-19 critical illness in vaccinated and unvaccinated patients
title 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_short 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
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828384/
https://www.ncbi.nlm.nih.gov/pubmed/35150879
http://dx.doi.org/10.1016/j.cmi.2022.01.031
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