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Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia

OBJECTIVE: This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.3 year...

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Autores principales: Kim, Jin Young, Jung, Keum Ji, Yoo, Seung-Jin, Yoon, Soon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535425/
https://www.ncbi.nlm.nih.gov/pubmed/34679127
http://dx.doi.org/10.1371/journal.pone.0259010
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author Kim, Jin Young
Jung, Keum Ji
Yoo, Seung-Jin
Yoon, Soon Ho
author_facet Kim, Jin Young
Jung, Keum Ji
Yoo, Seung-Jin
Yoon, Soon Ho
author_sort Kim, Jin Young
collection PubMed
description OBJECTIVE: This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.3 years) and serial chest radiographs from January to September 2020. Radiographic pneumonia extent was quantified as a percentage using a previously-developed deep learning algorithm. A group-based trajectory model was used to categorize the pneumonia trajectory after symptom onset during hospitalization. Clinical findings, and outcomes were compared, and Cox regression was performed for survival analysis. RESULTS: Radiographic pneumonia trajectories were categorized into four groups. Group 1 (n = 83, 59.7%) had negligible pneumonia, and group 2 (n = 29, 20.9%) had mild pneumonia. Group 3 (n = 13, 9.4%) and group 4 (n = 14, 10.1%) showed similar considerable pneumonia extents at baseline, but group 3 had decreasing pneumonia extent at 1–2 weeks, while group 4 had increasing pneumonia extent. Intensive care unit admission and mortality were significantly more frequent in groups 3 and 4 than in groups 1 and 2 (P < .05). Groups 3 and 4 shared similar clinical and laboratory findings, but thrombocytopenia (<150×10(3)/μL) was exclusively observed in group 4 (P = .016). When compared to groups 1 and 2, group 4 (hazard ratio, 63.3; 95% confidence interval, 7.9–504.9) had a two-fold higher risk for mortality than group 3 (hazard ratio, 31.2; 95% confidence interval, 3.5–280.2), and this elevated risk was maintained after adjusting confounders. CONCLUSION: Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses.
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spelling pubmed-85354252021-10-23 Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia Kim, Jin Young Jung, Keum Ji Yoo, Seung-Jin Yoon, Soon Ho PLoS One Research Article OBJECTIVE: This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.3 years) and serial chest radiographs from January to September 2020. Radiographic pneumonia extent was quantified as a percentage using a previously-developed deep learning algorithm. A group-based trajectory model was used to categorize the pneumonia trajectory after symptom onset during hospitalization. Clinical findings, and outcomes were compared, and Cox regression was performed for survival analysis. RESULTS: Radiographic pneumonia trajectories were categorized into four groups. Group 1 (n = 83, 59.7%) had negligible pneumonia, and group 2 (n = 29, 20.9%) had mild pneumonia. Group 3 (n = 13, 9.4%) and group 4 (n = 14, 10.1%) showed similar considerable pneumonia extents at baseline, but group 3 had decreasing pneumonia extent at 1–2 weeks, while group 4 had increasing pneumonia extent. Intensive care unit admission and mortality were significantly more frequent in groups 3 and 4 than in groups 1 and 2 (P < .05). Groups 3 and 4 shared similar clinical and laboratory findings, but thrombocytopenia (<150×10(3)/μL) was exclusively observed in group 4 (P = .016). When compared to groups 1 and 2, group 4 (hazard ratio, 63.3; 95% confidence interval, 7.9–504.9) had a two-fold higher risk for mortality than group 3 (hazard ratio, 31.2; 95% confidence interval, 3.5–280.2), and this elevated risk was maintained after adjusting confounders. CONCLUSION: Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses. Public Library of Science 2021-10-22 /pmc/articles/PMC8535425/ /pubmed/34679127 http://dx.doi.org/10.1371/journal.pone.0259010 Text en © 2021 Kim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kim, Jin Young
Jung, Keum Ji
Yoo, Seung-Jin
Yoon, Soon Ho
Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title_full Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title_fullStr Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title_full_unstemmed Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title_short Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
title_sort stratifying the early radiologic trajectory in dyspneic patients with covid-19 pneumonia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535425/
https://www.ncbi.nlm.nih.gov/pubmed/34679127
http://dx.doi.org/10.1371/journal.pone.0259010
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