Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia
Objective: In this study, we compared the differences between high-resolution computed tomography (CT) features of two types of viral pneumonia associated with H1N1 virus and coronavirus disease-2019 (COVID-19). Methods: A total of 25 patients with H1N1 pneumonia were compared with 150 patients wit...
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Galenos Publishing House
2024-07-01
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Series: | Gazi Medical Journal |
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Online Access: | https://gazimedj.com/articles/comparison-of-chest-computed-tomography-findings-in-patients-with-h1n1-andandnbsp-coronavirus-disease-2019-pneumonia/doi/gmj.2023.3813 |
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author | Sadullah Şimşek Cihan Akgül Özmen |
author_facet | Sadullah Şimşek Cihan Akgül Özmen |
author_sort | Sadullah Şimşek |
collection | DOAJ |
description | Objective: In this study, we compared the differences between high-resolution computed tomography (CT) features of two types of viral pneumonia associated with H1N1 virus and coronavirus disease-2019 (COVID-19).
Methods: A total of 25 patients with H1N1 pneumonia were compared with 150 patients with COVID-19 pneumonia. The findings were analyzed by IBM SPSS Statistics for Windows, version 22 (IBM Corp., Armonk, N.Y., USA). CT findings were compared between groups by chi-square test, and scale variables were compared using the t-test. Finally, significant findings for the H1N1 or COVID-19 groups were evaluated by logistic regression analysis.
Results: The median age of COVID-19 pneumonia patients was 54.6±15.9 years, and the median age of H1N1 pneumonia patients was 46.2±12.4 years (p<0.01). H1N1 pneumonia patients were younger than COVID-19 pneumonia patients. Based on the distribution pattern, diffuse pattern, peripheral pattern, and bronchopulmonary infiltration were observed more frequently in COVID-19 pneumonia (46.0%, 80.7%, 49.3%, respectively, p<0.05). Mediastinal lymphadenopathy and pleural effusion were observed more frequently in patients with H1N1 pneumonia (24% and 36%, respectively, p<0.05). Logistic regression analysis demonstrated that advanced age and a diffuse-peripheral pattern indicated COVID-19 (p=0.031, p=0.029).
Conclusion: Most of the lesions caused by COVID-19 pneumonia are located in the peripheral region and near the pleura, whereas those caused by influenza virus pneumonia are far from the peripheral region. |
format | Article |
id | doaj-art-987e922b3cba4c21b4e874ba859e9b18 |
institution | Kabale University |
issn | 2147-2092 |
language | English |
publishDate | 2024-07-01 |
publisher | Galenos Publishing House |
record_format | Article |
series | Gazi Medical Journal |
spelling | doaj-art-987e922b3cba4c21b4e874ba859e9b182025-01-16T11:51:30ZengGalenos Publishing HouseGazi Medical Journal2147-20922024-07-0135322823510.12996/gmj.2023.3813Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 PneumoniaSadullah Şimşek0https://orcid.org/0000-0002-8322-7475Cihan Akgül Özmen1https://orcid.org/0000-0001-9670-4472Department of Radiology Nusaybin State Hospital, Mardin, TürkiyeDepartment of Radiology Dicle University Faculty of Medicine, Diyarbakır, TürkiyeObjective: In this study, we compared the differences between high-resolution computed tomography (CT) features of two types of viral pneumonia associated with H1N1 virus and coronavirus disease-2019 (COVID-19). Methods: A total of 25 patients with H1N1 pneumonia were compared with 150 patients with COVID-19 pneumonia. The findings were analyzed by IBM SPSS Statistics for Windows, version 22 (IBM Corp., Armonk, N.Y., USA). CT findings were compared between groups by chi-square test, and scale variables were compared using the t-test. Finally, significant findings for the H1N1 or COVID-19 groups were evaluated by logistic regression analysis. Results: The median age of COVID-19 pneumonia patients was 54.6±15.9 years, and the median age of H1N1 pneumonia patients was 46.2±12.4 years (p<0.01). H1N1 pneumonia patients were younger than COVID-19 pneumonia patients. Based on the distribution pattern, diffuse pattern, peripheral pattern, and bronchopulmonary infiltration were observed more frequently in COVID-19 pneumonia (46.0%, 80.7%, 49.3%, respectively, p<0.05). Mediastinal lymphadenopathy and pleural effusion were observed more frequently in patients with H1N1 pneumonia (24% and 36%, respectively, p<0.05). Logistic regression analysis demonstrated that advanced age and a diffuse-peripheral pattern indicated COVID-19 (p=0.031, p=0.029). Conclusion: Most of the lesions caused by COVID-19 pneumonia are located in the peripheral region and near the pleura, whereas those caused by influenza virus pneumonia are far from the peripheral region.https://gazimedj.com/articles/comparison-of-chest-computed-tomography-findings-in-patients-with-h1n1-andandnbsp-coronavirus-disease-2019-pneumonia/doi/gmj.2023.3813covid-19pneumoniactinfluenza viruscoronavirus |
spellingShingle | Sadullah Şimşek Cihan Akgül Özmen Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia Gazi Medical Journal covid-19 pneumonia ct influenza virus coronavirus |
title | Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia |
title_full | Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia |
title_fullStr | Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia |
title_full_unstemmed | Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia |
title_short | Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia |
title_sort | comparison of chest computed tomography findings in patients with h1n1 and coronavirus disease 2019 pneumonia |
topic | covid-19 pneumonia ct influenza virus coronavirus |
url | https://gazimedj.com/articles/comparison-of-chest-computed-tomography-findings-in-patients-with-h1n1-andandnbsp-coronavirus-disease-2019-pneumonia/doi/gmj.2023.3813 |
work_keys_str_mv | AT sadullahsimsek comparisonofchestcomputedtomographyfindingsinpatientswithh1n1andcoronavirusdisease2019pneumonia AT cihanakgulozmen comparisonofchestcomputedtomographyfindingsinpatientswithh1n1andcoronavirusdisease2019pneumonia |