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Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes
BACKGROUND AND AIMS: We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. MATERIAL AND METHODS: Thi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SERAM. Published by Elsevier España, S.L.U.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040537/ https://www.ncbi.nlm.nih.gov/pubmed/35370318 http://dx.doi.org/10.1016/j.rx.2021.03.004 |
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author | Petite Felipe, D.J. Rivera Campos, M.I. San Miguel Espinosa, J. Malo Rubio, Y. Flores Quan, J.C. Cuartero Revilla, M.V. |
author_facet | Petite Felipe, D.J. Rivera Campos, M.I. San Miguel Espinosa, J. Malo Rubio, Y. Flores Quan, J.C. Cuartero Revilla, M.V. |
author_sort | Petite Felipe, D.J. |
collection | PubMed |
description | BACKGROUND AND AIMS: We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. MATERIAL AND METHODS: This retrospective study reviewed the clinical and radiological evolution of 265 adult patients with COVID-19 attended at our center between March 2020 and April 2020. We recorded data related to patients’ comorbidities, hospital stay, and clinical worsening (admission to the ICU, intubation, and death). We used three scoring systems taking into consideration 6 or 8 lung fields (designated 6 A, 6 B, and 8) to quantify lung involvement in each patient's initial abnormal chest X-ray and to classify its severity as mild, moderate, or severe, and we compared these three systems. We also recorded the presence of alveolar opacities and linear opacities (fundamentally linear atelectasis) in the first chest X-ray with pathologic findings. RESULTS: In the χ2 analysis, moderate or severe involvement in the three classification systems correlated with hospital admission (p = 0.009 in 6 A, p = 0.001 in 6 B, and p = 0.001 in 8) and with death (p = 0.02 in 6 A, p = 0.01 in 6 B, and p = 0.006 in 8). In the regression analysis, the most significant associations were 6 B with alveolar involvement (OR 2.3; 95%CI 1.1.–4.7; p = 0.025;) and 8 with alveolar involvement (OR 2.07; 95% CI 1.01.–4.25; p = 0.046). No differences were observed in the ability of the three systems to predict clinical worsening by classifications of involvement in chest X-rays as moderate or severe. CONCLUSION: Moderate/severe extension in the three chest X-ray scoring systems evaluating the extent of involvement over 6 or 8 lung fields and the finding of alveolar opacities in the first abnormal X-ray correlated with mortality and the rate of hospitalization in the patients studied. No significant difference was found in the predictive ability of the three classification systems proposed. |
format | Online Article Text |
id | pubmed-8040537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SERAM. Published by Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80405372021-04-13 Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes Petite Felipe, D.J. Rivera Campos, M.I. San Miguel Espinosa, J. Malo Rubio, Y. Flores Quan, J.C. Cuartero Revilla, M.V. Radiologia Original BACKGROUND AND AIMS: We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. MATERIAL AND METHODS: This retrospective study reviewed the clinical and radiological evolution of 265 adult patients with COVID-19 attended at our center between March 2020 and April 2020. We recorded data related to patients’ comorbidities, hospital stay, and clinical worsening (admission to the ICU, intubation, and death). We used three scoring systems taking into consideration 6 or 8 lung fields (designated 6 A, 6 B, and 8) to quantify lung involvement in each patient's initial abnormal chest X-ray and to classify its severity as mild, moderate, or severe, and we compared these three systems. We also recorded the presence of alveolar opacities and linear opacities (fundamentally linear atelectasis) in the first chest X-ray with pathologic findings. RESULTS: In the χ2 analysis, moderate or severe involvement in the three classification systems correlated with hospital admission (p = 0.009 in 6 A, p = 0.001 in 6 B, and p = 0.001 in 8) and with death (p = 0.02 in 6 A, p = 0.01 in 6 B, and p = 0.006 in 8). In the regression analysis, the most significant associations were 6 B with alveolar involvement (OR 2.3; 95%CI 1.1.–4.7; p = 0.025;) and 8 with alveolar involvement (OR 2.07; 95% CI 1.01.–4.25; p = 0.046). No differences were observed in the ability of the three systems to predict clinical worsening by classifications of involvement in chest X-rays as moderate or severe. CONCLUSION: Moderate/severe extension in the three chest X-ray scoring systems evaluating the extent of involvement over 6 or 8 lung fields and the finding of alveolar opacities in the first abnormal X-ray correlated with mortality and the rate of hospitalization in the patients studied. No significant difference was found in the predictive ability of the three classification systems proposed. SERAM. Published by Elsevier España, S.L.U. 2021 2021-04-09 /pmc/articles/PMC8040537/ /pubmed/35370318 http://dx.doi.org/10.1016/j.rx.2021.03.004 Text en © 2021 SERAM. Published by Elsevier España, S.L.U. 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 | Original Petite Felipe, D.J. Rivera Campos, M.I. San Miguel Espinosa, J. Malo Rubio, Y. Flores Quan, J.C. Cuartero Revilla, M.V. Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title | Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title_full | Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title_fullStr | Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title_full_unstemmed | Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title_short | Hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por SARS-CoV-2. Correlación en 265 pacientes |
title_sort | hallazgos iniciales en la radiografía de tórax como predictores de empeoramiento en la infección pulmonar por sars-cov-2. correlación en 265 pacientes |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040537/ https://www.ncbi.nlm.nih.gov/pubmed/35370318 http://dx.doi.org/10.1016/j.rx.2021.03.004 |
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