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Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19
PURPOSE: To describe the prognostic value of pulmonary artery (PA) trunk enlargement on the admission of in-hospital patients with severe COVID-19 infection by unenhanced CT image. MATERIALS AND METHODS: In-hospital patients confirmed COVID-19 from January 18, 2020, to March 7, 2020, were retrospect...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982766/ https://www.ncbi.nlm.nih.gov/pubmed/33751417 http://dx.doi.org/10.1007/s11604-021-01094-9 |
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author | Zhu, Qing-Qing Gong, Tao Huang, Guo-Quan Niu, Zhong-Feng Yue, Ting Xu, Fang-Yi Chen, Chao Wang, Guang-Bin |
author_facet | Zhu, Qing-Qing Gong, Tao Huang, Guo-Quan Niu, Zhong-Feng Yue, Ting Xu, Fang-Yi Chen, Chao Wang, Guang-Bin |
author_sort | Zhu, Qing-Qing |
collection | PubMed |
description | PURPOSE: To describe the prognostic value of pulmonary artery (PA) trunk enlargement on the admission of in-hospital patients with severe COVID-19 infection by unenhanced CT image. MATERIALS AND METHODS: In-hospital patients confirmed COVID-19 from January 18, 2020, to March 7, 2020, were retrospectively enrolled. PA trunk diameters on admission and death events were collected to calculate the optimum cutoff using a receiver operating characteristic curve. According to the cutoff, the subjects on admission were divided into two groups. Then the in-hospital various parameters were compared between the two groups to assess the predictive value of PA trunk diameter. RESULTS: In the 180 enrolled in-hospital patients (46.99 ± 14.95 years; 93 (51.7%) female, 14 patients (7.8%) died during their hospitalization. The optimum cutoff PA trunk diameter to predict in-hospital mortality was > 29 mm with a sensitivity of 92.59% and a specificity of 91.11%. Kaplan–Meier survival curves for PA trunk diameter on admission showed that a PA trunk diameter > 29 mm was a significant predictor of subsequent death (log-rank < 0.001, median survival time of PA > 29 mm was 28 days). CONCLUSION: PA trunk enlargement can be a useful predictive factor for distinguishing between mild and severe COVID-19 disease progression. |
format | Online Article Text |
id | pubmed-7982766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-79827662021-03-23 Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 Zhu, Qing-Qing Gong, Tao Huang, Guo-Quan Niu, Zhong-Feng Yue, Ting Xu, Fang-Yi Chen, Chao Wang, Guang-Bin Jpn J Radiol Original Article PURPOSE: To describe the prognostic value of pulmonary artery (PA) trunk enlargement on the admission of in-hospital patients with severe COVID-19 infection by unenhanced CT image. MATERIALS AND METHODS: In-hospital patients confirmed COVID-19 from January 18, 2020, to March 7, 2020, were retrospectively enrolled. PA trunk diameters on admission and death events were collected to calculate the optimum cutoff using a receiver operating characteristic curve. According to the cutoff, the subjects on admission were divided into two groups. Then the in-hospital various parameters were compared between the two groups to assess the predictive value of PA trunk diameter. RESULTS: In the 180 enrolled in-hospital patients (46.99 ± 14.95 years; 93 (51.7%) female, 14 patients (7.8%) died during their hospitalization. The optimum cutoff PA trunk diameter to predict in-hospital mortality was > 29 mm with a sensitivity of 92.59% and a specificity of 91.11%. Kaplan–Meier survival curves for PA trunk diameter on admission showed that a PA trunk diameter > 29 mm was a significant predictor of subsequent death (log-rank < 0.001, median survival time of PA > 29 mm was 28 days). CONCLUSION: PA trunk enlargement can be a useful predictive factor for distinguishing between mild and severe COVID-19 disease progression. Springer Singapore 2021-03-22 2021 /pmc/articles/PMC7982766/ /pubmed/33751417 http://dx.doi.org/10.1007/s11604-021-01094-9 Text en © Japan Radiological Society 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Zhu, Qing-Qing Gong, Tao Huang, Guo-Quan Niu, Zhong-Feng Yue, Ting Xu, Fang-Yi Chen, Chao Wang, Guang-Bin Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title | Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title_full | Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title_fullStr | Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title_full_unstemmed | Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title_short | Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19 |
title_sort | pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with covid-19 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982766/ https://www.ncbi.nlm.nih.gov/pubmed/33751417 http://dx.doi.org/10.1007/s11604-021-01094-9 |
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