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Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome
PURPOSE: To evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic. METHODS: A retrospective single-center study of 301 COVID-19 patients referred to our Emergency Dep...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907738/ https://www.ncbi.nlm.nih.gov/pubmed/33662842 http://dx.doi.org/10.1016/j.ejrad.2021.109612 |
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author | Angeli, Enzo Dalto, Serena Marchese, Stefano Setti, Lucia Bonacina, Manuela Galli, Francesca Rulli, Eliana Torri, Valter Monti, Cinzia Meroni, Roberta Beretta, Giordano Domenico Castoldi, Massimo Bombardieri, Emilio |
author_facet | Angeli, Enzo Dalto, Serena Marchese, Stefano Setti, Lucia Bonacina, Manuela Galli, Francesca Rulli, Eliana Torri, Valter Monti, Cinzia Meroni, Roberta Beretta, Giordano Domenico Castoldi, Massimo Bombardieri, Emilio |
author_sort | Angeli, Enzo |
collection | PubMed |
description | PURPOSE: To evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic. METHODS: A retrospective single-center study of 301 COVID-19 patients referred to our Emergency Department (ED) from February 25 to March 29, 2020. At presentation, patients underwent chest CT and clinical and laboratory examinations. Outcomes included discharge from the ED after improvement/recovery (positive outcome), or admission to the intensive care unit or death (poor prognosis). A visual quantitative analysis was formed using two scores: the Pulmonary Involvement (PI) score based on the extension of lung involvement, and the Pulmonary Consolidation (PC) score based on lung consolidation. The prognostic value of CT alone or integrated with other parameters was studied by logistic regression and ROC analysis. RESULTS: The impact of the CT PI score [≥15 vs. ≤ 6] on predicting poor prognosis (OR 5.71 95 % CI 1.93−16.92, P = 0.002) was demonstrated; no significant association was found for the PC score. Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application. CONCLUSIONS: Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data. |
format | Online Article Text |
id | pubmed-7907738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79077382021-02-26 Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome Angeli, Enzo Dalto, Serena Marchese, Stefano Setti, Lucia Bonacina, Manuela Galli, Francesca Rulli, Eliana Torri, Valter Monti, Cinzia Meroni, Roberta Beretta, Giordano Domenico Castoldi, Massimo Bombardieri, Emilio Eur J Radiol Article PURPOSE: To evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic. METHODS: A retrospective single-center study of 301 COVID-19 patients referred to our Emergency Department (ED) from February 25 to March 29, 2020. At presentation, patients underwent chest CT and clinical and laboratory examinations. Outcomes included discharge from the ED after improvement/recovery (positive outcome), or admission to the intensive care unit or death (poor prognosis). A visual quantitative analysis was formed using two scores: the Pulmonary Involvement (PI) score based on the extension of lung involvement, and the Pulmonary Consolidation (PC) score based on lung consolidation. The prognostic value of CT alone or integrated with other parameters was studied by logistic regression and ROC analysis. RESULTS: The impact of the CT PI score [≥15 vs. ≤ 6] on predicting poor prognosis (OR 5.71 95 % CI 1.93−16.92, P = 0.002) was demonstrated; no significant association was found for the PC score. Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application. CONCLUSIONS: Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data. Elsevier B.V. 2021-04 2021-02-26 /pmc/articles/PMC7907738/ /pubmed/33662842 http://dx.doi.org/10.1016/j.ejrad.2021.109612 Text en © 2021 Elsevier B.V. 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 | Article Angeli, Enzo Dalto, Serena Marchese, Stefano Setti, Lucia Bonacina, Manuela Galli, Francesca Rulli, Eliana Torri, Valter Monti, Cinzia Meroni, Roberta Beretta, Giordano Domenico Castoldi, Massimo Bombardieri, Emilio Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title | Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title_full | Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title_fullStr | Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title_full_unstemmed | Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title_short | Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict unfavorable outcome |
title_sort | prognostic value of ct integrated with clinical and laboratory data during the first peak of the covid-19 pandemic in northern italy: a nomogram to predict unfavorable outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907738/ https://www.ncbi.nlm.nih.gov/pubmed/33662842 http://dx.doi.org/10.1016/j.ejrad.2021.109612 |
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