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Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients

Objective: This study aimed to investigate the potential parameters associated with imaging progression on chest CT from coronavirus disease 19 (COVID-19) patients. Results: The average age of 273 COVID-19 patients enrolled with imaging progression were older than those without imaging progression (...

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Autores principales: Yang, Zongguo, Shi, Jia, He, Zhang, Lü, Ying, Xu, Qingnian, Ye, Chen, Chen, Shishi, Tang, Bozong, Yin, Keshan, Lu, Yunfei, Chen, Xiaorong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185104/
https://www.ncbi.nlm.nih.gov/pubmed/32275643
http://dx.doi.org/10.18632/aging.102999
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author Yang, Zongguo
Shi, Jia
He, Zhang
Lü, Ying
Xu, Qingnian
Ye, Chen
Chen, Shishi
Tang, Bozong
Yin, Keshan
Lu, Yunfei
Chen, Xiaorong
author_facet Yang, Zongguo
Shi, Jia
He, Zhang
Lü, Ying
Xu, Qingnian
Ye, Chen
Chen, Shishi
Tang, Bozong
Yin, Keshan
Lu, Yunfei
Chen, Xiaorong
author_sort Yang, Zongguo
collection PubMed
description Objective: This study aimed to investigate the potential parameters associated with imaging progression on chest CT from coronavirus disease 19 (COVID-19) patients. Results: The average age of 273 COVID-19 patients enrolled with imaging progression were older than those without imaging progression (p = 0.006). The white blood cells, platelets, neutrophils and acid glycoprotein were all decreased in imaging progression patients (all p < 0.05), and monocytes were increased (p = 0.025). The parameters including homocysteine, urea, creatinine and serum cystatin C were significantly higher in imaging progression patients (all p < 0.05), while eGFR decreased (p < 0.001). Monocyte-lymphocyte ratio (MLR) was significantly higher in imaging progression patients compared to that in imaging progression-free ones (p < 0.001). Logistic models revealed that age, MLR, homocysteine and period from onset to admission were factors for predicting imaging progression on chest CT at first week from COVID-19 patients (all p < 0.05). Conclusion: Age, MLR, homocysteine and period from onset to admission could predict imaging progression on chest CT from COVID-19 patients. Methods: The primary outcome was imaging progression on chest CT. Baseline parameters were collected at the first day of admission. Imaging manifestations on chest CT were followed-up at (6±1) days.
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spelling pubmed-71851042020-05-01 Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients Yang, Zongguo Shi, Jia He, Zhang Lü, Ying Xu, Qingnian Ye, Chen Chen, Shishi Tang, Bozong Yin, Keshan Lu, Yunfei Chen, Xiaorong Aging (Albany NY) Research Paper Objective: This study aimed to investigate the potential parameters associated with imaging progression on chest CT from coronavirus disease 19 (COVID-19) patients. Results: The average age of 273 COVID-19 patients enrolled with imaging progression were older than those without imaging progression (p = 0.006). The white blood cells, platelets, neutrophils and acid glycoprotein were all decreased in imaging progression patients (all p < 0.05), and monocytes were increased (p = 0.025). The parameters including homocysteine, urea, creatinine and serum cystatin C were significantly higher in imaging progression patients (all p < 0.05), while eGFR decreased (p < 0.001). Monocyte-lymphocyte ratio (MLR) was significantly higher in imaging progression patients compared to that in imaging progression-free ones (p < 0.001). Logistic models revealed that age, MLR, homocysteine and period from onset to admission were factors for predicting imaging progression on chest CT at first week from COVID-19 patients (all p < 0.05). Conclusion: Age, MLR, homocysteine and period from onset to admission could predict imaging progression on chest CT from COVID-19 patients. Methods: The primary outcome was imaging progression on chest CT. Baseline parameters were collected at the first day of admission. Imaging manifestations on chest CT were followed-up at (6±1) days. Impact Journals 2020-04-10 /pmc/articles/PMC7185104/ /pubmed/32275643 http://dx.doi.org/10.18632/aging.102999 Text en Copyright © 2020 Yang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Yang, Zongguo
Shi, Jia
He, Zhang
Lü, Ying
Xu, Qingnian
Ye, Chen
Chen, Shishi
Tang, Bozong
Yin, Keshan
Lu, Yunfei
Chen, Xiaorong
Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title_full Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title_fullStr Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title_full_unstemmed Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title_short Predictors for imaging progression on chest CT from coronavirus disease 2019 (COVID-19) patients
title_sort predictors for imaging progression on chest ct from coronavirus disease 2019 (covid-19) patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185104/
https://www.ncbi.nlm.nih.gov/pubmed/32275643
http://dx.doi.org/10.18632/aging.102999
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