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Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19
BACKGROUND: Radiographic severity may help predict patient deterioration and outcomes from COVID-19 pneumonia. PURPOSE: To assess the reliability and reproducibility of three chest radiograph reporting systems (radiographic assessment of lung edema [RALE], Brixia, and percentage opacification) in pa...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Radiological Society of North America
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475750/ https://www.ncbi.nlm.nih.gov/pubmed/34519573 http://dx.doi.org/10.1148/radiol.2021210986 |
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author | Au-Yong, Iain Higashi, Yutaro Giannotti, Elisabetta Fogarty, Andrew Morling, Joanne R. Grainge, Matthew Race, Andrea Juurlink, Irene Simmonds, Mark Briggs, Steve Cruikshank, Simon Hammond-Pears, Susan West, Joe Crooks, Colin J. Card, Timothy |
author_facet | Au-Yong, Iain Higashi, Yutaro Giannotti, Elisabetta Fogarty, Andrew Morling, Joanne R. Grainge, Matthew Race, Andrea Juurlink, Irene Simmonds, Mark Briggs, Steve Cruikshank, Simon Hammond-Pears, Susan West, Joe Crooks, Colin J. Card, Timothy |
author_sort | Au-Yong, Iain |
collection | PubMed |
description | BACKGROUND: Radiographic severity may help predict patient deterioration and outcomes from COVID-19 pneumonia. PURPOSE: To assess the reliability and reproducibility of three chest radiograph reporting systems (radiographic assessment of lung edema [RALE], Brixia, and percentage opacification) in patients with proven SARS-CoV-2 infection and examine the ability of these scores to predict adverse outcomes both alone and in conjunction with two clinical scoring systems, National Early Warning Score 2 (NEWS2) and International Severe Acute Respiratory and Emerging Infection Consortium: Coronavirus Clinical Characterization Consortium (ISARIC-4C) mortality. MATERIALS AND METHODS: This retrospective cohort study used routinely collected clinical data of patients with polymerase chain reaction–positive SARS-CoV-2 infection admitted to a single center from February 2020 through July 2020. Initial chest radiographs were scored for RALE, Brixia, and percentage opacification by one of three radiologists. Intra- and interreader agreement were assessed with intraclass correlation coefficients. The rate of admission to the intensive care unit (ICU) or death up to 60 days after scored chest radiograph was estimated. NEWS2 and ISARIC-4C mortality at hospital admission were calculated. Daily risk for admission to ICU or death was modeled with Cox proportional hazards models that incorporated the chest radiograph scores adjusted for NEWS2 or ISARIC-4C mortality. RESULTS: Admission chest radiographs of 50 patients (mean age, 74 years ± 16 [standard deviation]; 28 men) were scored by all three radiologists, with good interreader reliability for all scores, as follows: intraclass correlation coefficients were 0.87 for RALE (95% CI: 0.80, 0.92), 0.86 for Brixia (95% CI: 0.76, 0.92), and 0.72 for percentage opacification (95% CI: 0.48, 0.85). Of 751 patients with a chest radiograph, those with greater than 75% opacification had a median time to ICU admission or death of just 1–2 days. Among 628 patients for whom data were available (median age, 76 years [interquartile range, 61–84 years]; 344 men), opacification of 51%–75% increased risk for ICU admission or death by twofold (hazard ratio, 2.2; 95% CI: 1.6, 2.8), and opacification greater than 75% increased ICU risk by fourfold (hazard ratio, 4.0; 95% CI: 3.4, 4.7) compared with opacification of 0%–25%, when adjusted for NEWS2 score. CONCLUSION: Brixia, radiographic assessment of lung edema, and percentage opacification scores all reliably helped predict adverse outcomes in SARS-CoV-2 infection. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Little in this issue. |
format | Online Article Text |
id | pubmed-8475750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Radiological Society of North America |
record_format | MEDLINE/PubMed |
spelling | pubmed-84757502021-09-28 Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19 Au-Yong, Iain Higashi, Yutaro Giannotti, Elisabetta Fogarty, Andrew Morling, Joanne R. Grainge, Matthew Race, Andrea Juurlink, Irene Simmonds, Mark Briggs, Steve Cruikshank, Simon Hammond-Pears, Susan West, Joe Crooks, Colin J. Card, Timothy Radiology Original Research BACKGROUND: Radiographic severity may help predict patient deterioration and outcomes from COVID-19 pneumonia. PURPOSE: To assess the reliability and reproducibility of three chest radiograph reporting systems (radiographic assessment of lung edema [RALE], Brixia, and percentage opacification) in patients with proven SARS-CoV-2 infection and examine the ability of these scores to predict adverse outcomes both alone and in conjunction with two clinical scoring systems, National Early Warning Score 2 (NEWS2) and International Severe Acute Respiratory and Emerging Infection Consortium: Coronavirus Clinical Characterization Consortium (ISARIC-4C) mortality. MATERIALS AND METHODS: This retrospective cohort study used routinely collected clinical data of patients with polymerase chain reaction–positive SARS-CoV-2 infection admitted to a single center from February 2020 through July 2020. Initial chest radiographs were scored for RALE, Brixia, and percentage opacification by one of three radiologists. Intra- and interreader agreement were assessed with intraclass correlation coefficients. The rate of admission to the intensive care unit (ICU) or death up to 60 days after scored chest radiograph was estimated. NEWS2 and ISARIC-4C mortality at hospital admission were calculated. Daily risk for admission to ICU or death was modeled with Cox proportional hazards models that incorporated the chest radiograph scores adjusted for NEWS2 or ISARIC-4C mortality. RESULTS: Admission chest radiographs of 50 patients (mean age, 74 years ± 16 [standard deviation]; 28 men) were scored by all three radiologists, with good interreader reliability for all scores, as follows: intraclass correlation coefficients were 0.87 for RALE (95% CI: 0.80, 0.92), 0.86 for Brixia (95% CI: 0.76, 0.92), and 0.72 for percentage opacification (95% CI: 0.48, 0.85). Of 751 patients with a chest radiograph, those with greater than 75% opacification had a median time to ICU admission or death of just 1–2 days. Among 628 patients for whom data were available (median age, 76 years [interquartile range, 61–84 years]; 344 men), opacification of 51%–75% increased risk for ICU admission or death by twofold (hazard ratio, 2.2; 95% CI: 1.6, 2.8), and opacification greater than 75% increased ICU risk by fourfold (hazard ratio, 4.0; 95% CI: 3.4, 4.7) compared with opacification of 0%–25%, when adjusted for NEWS2 score. CONCLUSION: Brixia, radiographic assessment of lung edema, and percentage opacification scores all reliably helped predict adverse outcomes in SARS-CoV-2 infection. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Little in this issue. Radiological Society of North America 2021-09-14 /pmc/articles/PMC8475750/ /pubmed/34519573 http://dx.doi.org/10.1148/radiol.2021210986 Text en 2021 by the Radiological Society of North America, Inc. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Original Research Au-Yong, Iain Higashi, Yutaro Giannotti, Elisabetta Fogarty, Andrew Morling, Joanne R. Grainge, Matthew Race, Andrea Juurlink, Irene Simmonds, Mark Briggs, Steve Cruikshank, Simon Hammond-Pears, Susan West, Joe Crooks, Colin J. Card, Timothy Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19 |
title | Chest Radiograph Scoring Alone or Combined with Other Risk Scores for
Predicting Outcomes in COVID-19 |
title_full | Chest Radiograph Scoring Alone or Combined with Other Risk Scores for
Predicting Outcomes in COVID-19 |
title_fullStr | Chest Radiograph Scoring Alone or Combined with Other Risk Scores for
Predicting Outcomes in COVID-19 |
title_full_unstemmed | Chest Radiograph Scoring Alone or Combined with Other Risk Scores for
Predicting Outcomes in COVID-19 |
title_short | Chest Radiograph Scoring Alone or Combined with Other Risk Scores for
Predicting Outcomes in COVID-19 |
title_sort | chest radiograph scoring alone or combined with other risk scores for
predicting outcomes in covid-19 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475750/ https://www.ncbi.nlm.nih.gov/pubmed/34519573 http://dx.doi.org/10.1148/radiol.2021210986 |
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