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

<h4>Objective</h4>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).<h4>Materials and methods</h4>We retrospectively included 139 COVID-19 patients...

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Autores principales:	Jin Young Kim, Keum Ji Jung, Seung-Jin Yoo, Soon Ho Yoon
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0e724577ac114b6a995b5660d24f0712
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spelling	oai:doaj.org-article:0e724577ac114b6a995b5660d24f07122021-12-02T20:07:47ZStratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia.1932-620310.1371/journal.pone.0259010https://doaj.org/article/0e724577ac114b6a995b5660d24f07122021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259010https://doaj.org/toc/1932-6203<h4>Objective</h4>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).<h4>Materials and methods</h4>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.<h4>Results</h4>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 (<150×103/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.<h4>Conclusion</h4>Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses.Jin Young KimKeum Ji JungSeung-Jin YooSoon Ho YoonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0259010 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jin Young Kim Keum Ji Jung Seung-Jin Yoo Soon Ho Yoon Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia.
description	<h4>Objective</h4>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).<h4>Materials and methods</h4>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.<h4>Results</h4>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 (<150×103/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.<h4>Conclusion</h4>Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses.
format	article
author	Jin Young Kim Keum Ji Jung Seung-Jin Yoo Soon Ho Yoon
author_facet	Jin Young Kim Keum Ji Jung Seung-Jin Yoo Soon Ho Yoon
author_sort	Jin Young Kim
title	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_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_sort	stratifying the early radiologic trajectory in dyspneic patients with covid-19 pneumonia.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/0e724577ac114b6a995b5660d24f0712
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Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia.

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