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Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?

Since the start of the SARS-CoV-2 pandemic, several scores have been proposed to identify infected individuals at a higher risk of progression and death. The most famous is the 4C score. However, it was developed in early 2020. Our study aimed to evaluate the accuracy of the 4C score during the wave...

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Autores principales: De Vito, Andrea, Colpani, Agnese, Saderi, Laura, Puci, Mariangela, Zauli, Beatrice, Meloni, Maria Chiara, Fois, Marco, Bitti, Alessandra, Di Castri, Cosimo, Fiore, Vito, Maida, Ivana, Babudieri, Sergio, Sotgiu, Giovanni, Madeddu, Giordano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863404/
https://www.ncbi.nlm.nih.gov/pubmed/36676132
http://dx.doi.org/10.3390/life13010183
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author De Vito, Andrea
Colpani, Agnese
Saderi, Laura
Puci, Mariangela
Zauli, Beatrice
Meloni, Maria Chiara
Fois, Marco
Bitti, Alessandra
Di Castri, Cosimo
Fiore, Vito
Maida, Ivana
Babudieri, Sergio
Sotgiu, Giovanni
Madeddu, Giordano
author_facet De Vito, Andrea
Colpani, Agnese
Saderi, Laura
Puci, Mariangela
Zauli, Beatrice
Meloni, Maria Chiara
Fois, Marco
Bitti, Alessandra
Di Castri, Cosimo
Fiore, Vito
Maida, Ivana
Babudieri, Sergio
Sotgiu, Giovanni
Madeddu, Giordano
author_sort De Vito, Andrea
collection PubMed
description Since the start of the SARS-CoV-2 pandemic, several scores have been proposed to identify infected individuals at a higher risk of progression and death. The most famous is the 4C score. However, it was developed in early 2020. Our study aimed to evaluate the accuracy of the 4C score during the wave in which the Omicron variant was prevalent. An observational study was conducted at an Italian University Hospital between 1 January and 31 July 2022. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the ability of the 4C score to predict mortality. Overall, 1186 people were recruited, of which 160 (13.5%) died. According to the 4C score, 177 (11.6%) were classified as having a low risk of mortality, 302 (25.5%) were intermediate, 596 (50.3%) were high, and 151 (12.7%) were very high. The ROC curve of the 4C score showed an AUC (95% CI) value of 0.78 (0.74–0.82). At the criterion value of > 10, the sensitivity was 76.2% and the specificity was 62.67%. Similar to previous studies, the 4C mortality score performed well in our sample, and it is still a useful tool for clinicians to identify patients with a high risk of progression. However, clinicians must be aware that the mortality rate reported in the original studies was higher than that observed in our study.
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spelling pubmed-98634042023-01-22 Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era? De Vito, Andrea Colpani, Agnese Saderi, Laura Puci, Mariangela Zauli, Beatrice Meloni, Maria Chiara Fois, Marco Bitti, Alessandra Di Castri, Cosimo Fiore, Vito Maida, Ivana Babudieri, Sergio Sotgiu, Giovanni Madeddu, Giordano Life (Basel) Article Since the start of the SARS-CoV-2 pandemic, several scores have been proposed to identify infected individuals at a higher risk of progression and death. The most famous is the 4C score. However, it was developed in early 2020. Our study aimed to evaluate the accuracy of the 4C score during the wave in which the Omicron variant was prevalent. An observational study was conducted at an Italian University Hospital between 1 January and 31 July 2022. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the ability of the 4C score to predict mortality. Overall, 1186 people were recruited, of which 160 (13.5%) died. According to the 4C score, 177 (11.6%) were classified as having a low risk of mortality, 302 (25.5%) were intermediate, 596 (50.3%) were high, and 151 (12.7%) were very high. The ROC curve of the 4C score showed an AUC (95% CI) value of 0.78 (0.74–0.82). At the criterion value of > 10, the sensitivity was 76.2% and the specificity was 62.67%. Similar to previous studies, the 4C mortality score performed well in our sample, and it is still a useful tool for clinicians to identify patients with a high risk of progression. However, clinicians must be aware that the mortality rate reported in the original studies was higher than that observed in our study. MDPI 2023-01-08 /pmc/articles/PMC9863404/ /pubmed/36676132 http://dx.doi.org/10.3390/life13010183 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
De Vito, Andrea
Colpani, Agnese
Saderi, Laura
Puci, Mariangela
Zauli, Beatrice
Meloni, Maria Chiara
Fois, Marco
Bitti, Alessandra
Di Castri, Cosimo
Fiore, Vito
Maida, Ivana
Babudieri, Sergio
Sotgiu, Giovanni
Madeddu, Giordano
Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title_full Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title_fullStr Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title_full_unstemmed Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title_short Is the 4C Score Still a Valid Item to Predict In-Hospital Mortality in People with SARS-CoV-2 Infections in the Omicron Variant Era?
title_sort is the 4c score still a valid item to predict in-hospital mortality in people with sars-cov-2 infections in the omicron variant era?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863404/
https://www.ncbi.nlm.nih.gov/pubmed/36676132
http://dx.doi.org/10.3390/life13010183
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