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Clinical and radiological imaging as prognostic predictors in COVID-19 patients
BACKGROUND: Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (N...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033098/ http://dx.doi.org/10.1186/s43055-021-00470-9 |
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author | Metwally, Maha Ibrahim Basha, Mohammad Abd Alkhalik Zaitoun, Mohamed M. A. Abdalla, Housseini Mohamed Nofal, Hanaa Abu Elazayem Hendawy, Hamdy Manajrah, Esaraa Hijazy, Reham farid Akbazli, Loujain Negida, Ahmed Mosallam, Walid |
author_facet | Metwally, Maha Ibrahim Basha, Mohammad Abd Alkhalik Zaitoun, Mohamed M. A. Abdalla, Housseini Mohamed Nofal, Hanaa Abu Elazayem Hendawy, Hamdy Manajrah, Esaraa Hijazy, Reham farid Akbazli, Loujain Negida, Ahmed Mosallam, Walid |
author_sort | Metwally, Maha Ibrahim |
collection | PubMed |
description | BACKGROUND: Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2–91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. RESULTS: The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = − 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. CONCLUSION: The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate. |
format | Online Article Text |
id | pubmed-8033098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80330982021-04-09 Clinical and radiological imaging as prognostic predictors in COVID-19 patients Metwally, Maha Ibrahim Basha, Mohammad Abd Alkhalik Zaitoun, Mohamed M. A. Abdalla, Housseini Mohamed Nofal, Hanaa Abu Elazayem Hendawy, Hamdy Manajrah, Esaraa Hijazy, Reham farid Akbazli, Loujain Negida, Ahmed Mosallam, Walid Egypt J Radiol Nucl Med Research BACKGROUND: Since the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females; age range = 2–91 years; mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated. RESULTS: The most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = − 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality. CONCLUSION: The current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate. Springer Berlin Heidelberg 2021-04-09 2021 /pmc/articles/PMC8033098/ http://dx.doi.org/10.1186/s43055-021-00470-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Metwally, Maha Ibrahim Basha, Mohammad Abd Alkhalik Zaitoun, Mohamed M. A. Abdalla, Housseini Mohamed Nofal, Hanaa Abu Elazayem Hendawy, Hamdy Manajrah, Esaraa Hijazy, Reham farid Akbazli, Loujain Negida, Ahmed Mosallam, Walid Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_full | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_fullStr | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_full_unstemmed | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_short | Clinical and radiological imaging as prognostic predictors in COVID-19 patients |
title_sort | clinical and radiological imaging as prognostic predictors in covid-19 patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033098/ http://dx.doi.org/10.1186/s43055-021-00470-9 |
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