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Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study
BACKGROUND: Integration of imaging and clinical parameters could improve the stratification of COVID-19 patients on emergency department (ED) admission. We aimed to assess the extent of COVID-19 pulmonary abnormalities on chest x-ray (CXR) using a semiquantitative severity score, correlating it with...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735892/ https://www.ncbi.nlm.nih.gov/pubmed/33319321 http://dx.doi.org/10.1186/s41747-020-00195-w |
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author | Monaco, Cristian Giuseppe Zaottini, Federico Schiaffino, Simone Villa, Alessandro Della Pepa, Gianmarco Carbonaro, Luca Alessandro Menicagli, Laura Cozzi, Andrea Carriero, Serena Arpaia, Francesco Di Leo, Giovanni Astengo, Davide Rosenberg, Ilan Sardanelli, Francesco |
author_facet | Monaco, Cristian Giuseppe Zaottini, Federico Schiaffino, Simone Villa, Alessandro Della Pepa, Gianmarco Carbonaro, Luca Alessandro Menicagli, Laura Cozzi, Andrea Carriero, Serena Arpaia, Francesco Di Leo, Giovanni Astengo, Davide Rosenberg, Ilan Sardanelli, Francesco |
author_sort | Monaco, Cristian Giuseppe |
collection | PubMed |
description | BACKGROUND: Integration of imaging and clinical parameters could improve the stratification of COVID-19 patients on emergency department (ED) admission. We aimed to assess the extent of COVID-19 pulmonary abnormalities on chest x-ray (CXR) using a semiquantitative severity score, correlating it with clinical data and testing its interobserver agreement. METHODS: From February 22 to April 8, 2020, 926 consecutive patients referring to ED of two institutions in Northern Italy for suspected SARS-CoV-2 infection were reviewed. Patients with reverse transcriptase-polymerase chain reaction positive for SARS-CoV-2 and CXR images on ED admission were included (295 patients, median age 69 years, 199 males). Five readers independently and blindly reviewed all CXRs, rating pulmonary parenchymal involvement using a 0–3 semiquantitative score in 1-point increments on 6 lung zones (range 0–18). Interobserver agreement was assessed with weighted Cohen’s κ, correlations between median CXR score and clinical data with Spearman’s ρ, and the Mann-Whitney U test. RESULTS: Median score showed negative correlation with SpO(2) (ρ = -0.242, p < 0.001), positive correlation with white cell count (ρ = 0.277, p < 0.001), lactate dehydrogenase (ρ = 0.308, p < 0.001), and C-reactive protein (ρ = 0.367, p < 0.001), being significantly higher in subsequently dead patients (p = 0.003). Considering overall scores, readers’ pairings yielded moderate (κ = 0.449, p < 0.001) to almost perfect interobserver agreement (κ = 0.872, p < 0.001), with better interobserver agreement between readers of centre 2 (up to κ = 0.872, p < 0.001) than centre 1 (κ = 0.764, p < 0.001). CONCLUSIONS: Proposed CXR pulmonary severity score in COVID-19 showed moderate to almost perfect interobserver agreement and significant but weak correlations with clinical parameters, potentially furthering CXR integration in patients’ stratification. |
format | Online Article Text |
id | pubmed-7735892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-77358922020-12-15 Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study Monaco, Cristian Giuseppe Zaottini, Federico Schiaffino, Simone Villa, Alessandro Della Pepa, Gianmarco Carbonaro, Luca Alessandro Menicagli, Laura Cozzi, Andrea Carriero, Serena Arpaia, Francesco Di Leo, Giovanni Astengo, Davide Rosenberg, Ilan Sardanelli, Francesco Eur Radiol Exp Original Article BACKGROUND: Integration of imaging and clinical parameters could improve the stratification of COVID-19 patients on emergency department (ED) admission. We aimed to assess the extent of COVID-19 pulmonary abnormalities on chest x-ray (CXR) using a semiquantitative severity score, correlating it with clinical data and testing its interobserver agreement. METHODS: From February 22 to April 8, 2020, 926 consecutive patients referring to ED of two institutions in Northern Italy for suspected SARS-CoV-2 infection were reviewed. Patients with reverse transcriptase-polymerase chain reaction positive for SARS-CoV-2 and CXR images on ED admission were included (295 patients, median age 69 years, 199 males). Five readers independently and blindly reviewed all CXRs, rating pulmonary parenchymal involvement using a 0–3 semiquantitative score in 1-point increments on 6 lung zones (range 0–18). Interobserver agreement was assessed with weighted Cohen’s κ, correlations between median CXR score and clinical data with Spearman’s ρ, and the Mann-Whitney U test. RESULTS: Median score showed negative correlation with SpO(2) (ρ = -0.242, p < 0.001), positive correlation with white cell count (ρ = 0.277, p < 0.001), lactate dehydrogenase (ρ = 0.308, p < 0.001), and C-reactive protein (ρ = 0.367, p < 0.001), being significantly higher in subsequently dead patients (p = 0.003). Considering overall scores, readers’ pairings yielded moderate (κ = 0.449, p < 0.001) to almost perfect interobserver agreement (κ = 0.872, p < 0.001), with better interobserver agreement between readers of centre 2 (up to κ = 0.872, p < 0.001) than centre 1 (κ = 0.764, p < 0.001). CONCLUSIONS: Proposed CXR pulmonary severity score in COVID-19 showed moderate to almost perfect interobserver agreement and significant but weak correlations with clinical parameters, potentially furthering CXR integration in patients’ stratification. Springer International Publishing 2020-12-15 /pmc/articles/PMC7735892/ /pubmed/33319321 http://dx.doi.org/10.1186/s41747-020-00195-w Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Monaco, Cristian Giuseppe Zaottini, Federico Schiaffino, Simone Villa, Alessandro Della Pepa, Gianmarco Carbonaro, Luca Alessandro Menicagli, Laura Cozzi, Andrea Carriero, Serena Arpaia, Francesco Di Leo, Giovanni Astengo, Davide Rosenberg, Ilan Sardanelli, Francesco Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title | Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title_full | Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title_fullStr | Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title_full_unstemmed | Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title_short | Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study |
title_sort | chest x-ray severity score in covid-19 patients on emergency department admission: a two-centre study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735892/ https://www.ncbi.nlm.nih.gov/pubmed/33319321 http://dx.doi.org/10.1186/s41747-020-00195-w |
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