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Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department
OBJECTIVES: To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for v...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543667/ https://www.ncbi.nlm.nih.gov/pubmed/33033861 http://dx.doi.org/10.1007/s00330-020-07270-1 |
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author | Balbi, Maurizio Caroli, Anna Corsi, Andrea Milanese, Gianluca Surace, Alessandra Di Marco, Fabiano Novelli, Luca Silva, Mario Lorini, Ferdinando Luca Duca, Andrea Cosentini, Roberto Sverzellati, Nicola Bonaffini, Pietro Andrea Sironi, Sandro |
author_facet | Balbi, Maurizio Caroli, Anna Corsi, Andrea Milanese, Gianluca Surace, Alessandra Di Marco, Fabiano Novelli, Luca Silva, Mario Lorini, Ferdinando Luca Duca, Andrea Cosentini, Roberto Sverzellati, Nicola Bonaffini, Pietro Andrea Sironi, Sandro |
author_sort | Balbi, Maurizio |
collection | PubMed |
description | OBJECTIVES: To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support. METHODS: A total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1–13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen’s kappa (κ) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression. RESULTS: GGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (κ = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR: 1.19; 95% CI: 1.06, 1.34; p = 0.003), age (OR: 1.16; 95% CI: 1.11, 1.22; p < 0.001), PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.98, 1; p = 0.002), and cardiovascular diseases (OR: 3.21; 95% CI: 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR: 1.02; 95% CI: 1.01, 1.03; p = 0.001) and PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support. CONCLUSIONS: CXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO(2)/FiO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support. KEY POINTS: • Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. • The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO(2)/FIO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07270-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7543667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75436672020-10-09 Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department Balbi, Maurizio Caroli, Anna Corsi, Andrea Milanese, Gianluca Surace, Alessandra Di Marco, Fabiano Novelli, Luca Silva, Mario Lorini, Ferdinando Luca Duca, Andrea Cosentini, Roberto Sverzellati, Nicola Bonaffini, Pietro Andrea Sironi, Sandro Eur Radiol Chest OBJECTIVES: To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support. METHODS: A total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1–13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen’s kappa (κ) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression. RESULTS: GGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (κ = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR: 1.19; 95% CI: 1.06, 1.34; p = 0.003), age (OR: 1.16; 95% CI: 1.11, 1.22; p < 0.001), PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.98, 1; p = 0.002), and cardiovascular diseases (OR: 3.21; 95% CI: 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR: 1.02; 95% CI: 1.01, 1.03; p = 0.001) and PaO(2)/FiO(2) ratio (OR: 0.99; 95% CI: 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support. CONCLUSIONS: CXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO(2)/FiO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support. KEY POINTS: • Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. • The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO(2)/FIO(2) ratio, and SpO(2) values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-020-07270-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-10-08 2021 /pmc/articles/PMC7543667/ /pubmed/33033861 http://dx.doi.org/10.1007/s00330-020-07270-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Chest Balbi, Maurizio Caroli, Anna Corsi, Andrea Milanese, Gianluca Surace, Alessandra Di Marco, Fabiano Novelli, Luca Silva, Mario Lorini, Ferdinando Luca Duca, Andrea Cosentini, Roberto Sverzellati, Nicola Bonaffini, Pietro Andrea Sironi, Sandro Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title | Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title_full | Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title_fullStr | Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title_full_unstemmed | Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title_short | Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department |
title_sort | chest x-ray for predicting mortality and the need for ventilatory support in covid-19 patients presenting to the emergency department |
topic | Chest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543667/ https://www.ncbi.nlm.nih.gov/pubmed/33033861 http://dx.doi.org/10.1007/s00330-020-07270-1 |
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