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Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers?
OBJECTIVE: The aim of this study was to explore the impact of smoking history on the severity of coronavirus disease 2019 radiologic findings. Therefore, we compared the computed tomography severity scores of smoking coronavirus disease 2019 patients with those of non-smoking coronavirus disease 201...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Turkish Thoracic Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450094/ https://www.ncbi.nlm.nih.gov/pubmed/35404245 http://dx.doi.org/10.5152/TurkThoracJ.2022.21168 |
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author | Yağcı, Buket Özlem Balık, Ayse Balık, Recep Yalım Uncu, Ulaş |
author_facet | Yağcı, Buket Özlem Balık, Ayse Balık, Recep Yalım Uncu, Ulaş |
author_sort | Yağcı, Buket |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to explore the impact of smoking history on the severity of coronavirus disease 2019 radiologic findings. Therefore, we compared the computed tomography severity scores of smoking coronavirus disease 2019 patients with those of non-smoking coronavirus disease 2019 patients. MATERIAL AND METHODS: A total of 121 patients were included in our study group. We retrospectively reviewed 121 patients who underwent reverse transcription-polymerase chain reaction sampling and computed tomography examination in our hospital between April 1, 2020, and July 30, 2020. All computed tomography images were independently reviewed by 2 radiologists. RESULTS: There were 15 (12.4%) active smokers, 38 (31.4%) former smokers, and 68 (56.2%) never-smokers in this study. Among the 85 patients with evidence of pneumonia in thorax computed tomography, mean computed tomography severity scores were 8.02 and standard deviation 5.812. Computed tomography severity scores for patients with pathological computed tomography scans (n = 85) were performed for evaluating smoking status (never-smokers and smokers). We found a statistically significant relationship between computed tomography severity scores of never-smokers (n = 39) and smokers (n = 46) (Z = 2.243, P = .025). The computed tomography severity scores threshold for differentiating smokers in our study group was 8, with a sensitivity of 52.2% and a specificity of 79.5%. Among the 121 patients, 34 (28.1%) were in the asymptomatic group, 36 (29.75%) were in the mild group, 28 (23.14%) were in the common group, and 23 (19.0%) were in the severe group with severe pneumonia and respiratory distress. Five (1.47%), 16 (44.44%), 14 (50%), and 18 (78.26%) of the patients in these groups were smoking, respectively. CONCLUSION: Among coronavirus disease 2019 patients, smoking is associated with the progression of the disease and increased adverse effects. In our study, smoking status was significantly correlated with thorax computed tomography findings on admission. Computed tomography severity scores assessment helps to evaluate the disease extent in coronavirus disease 2019 patients. |
format | Online Article Text |
id | pubmed-9450094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Turkish Thoracic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94500942022-09-19 Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? Yağcı, Buket Özlem Balık, Ayse Balık, Recep Yalım Uncu, Ulaş Turk Thorac J Original Article OBJECTIVE: The aim of this study was to explore the impact of smoking history on the severity of coronavirus disease 2019 radiologic findings. Therefore, we compared the computed tomography severity scores of smoking coronavirus disease 2019 patients with those of non-smoking coronavirus disease 2019 patients. MATERIAL AND METHODS: A total of 121 patients were included in our study group. We retrospectively reviewed 121 patients who underwent reverse transcription-polymerase chain reaction sampling and computed tomography examination in our hospital between April 1, 2020, and July 30, 2020. All computed tomography images were independently reviewed by 2 radiologists. RESULTS: There were 15 (12.4%) active smokers, 38 (31.4%) former smokers, and 68 (56.2%) never-smokers in this study. Among the 85 patients with evidence of pneumonia in thorax computed tomography, mean computed tomography severity scores were 8.02 and standard deviation 5.812. Computed tomography severity scores for patients with pathological computed tomography scans (n = 85) were performed for evaluating smoking status (never-smokers and smokers). We found a statistically significant relationship between computed tomography severity scores of never-smokers (n = 39) and smokers (n = 46) (Z = 2.243, P = .025). The computed tomography severity scores threshold for differentiating smokers in our study group was 8, with a sensitivity of 52.2% and a specificity of 79.5%. Among the 121 patients, 34 (28.1%) were in the asymptomatic group, 36 (29.75%) were in the mild group, 28 (23.14%) were in the common group, and 23 (19.0%) were in the severe group with severe pneumonia and respiratory distress. Five (1.47%), 16 (44.44%), 14 (50%), and 18 (78.26%) of the patients in these groups were smoking, respectively. CONCLUSION: Among coronavirus disease 2019 patients, smoking is associated with the progression of the disease and increased adverse effects. In our study, smoking status was significantly correlated with thorax computed tomography findings on admission. Computed tomography severity scores assessment helps to evaluate the disease extent in coronavirus disease 2019 patients. Turkish Thoracic Society 2022-03-01 /pmc/articles/PMC9450094/ /pubmed/35404245 http://dx.doi.org/10.5152/TurkThoracJ.2022.21168 Text en Turkish Thoracic Society https://creativecommons.org/licenses/by-nc/4.0/ Content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Original Article Yağcı, Buket Özlem Balık, Ayse Balık, Recep Yalım Uncu, Ulaş Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title | Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title_full | Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title_fullStr | Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title_full_unstemmed | Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title_short | Can Thorax Computed Tomography Severity Score in Coronavirus Disease 2019 Patients Differentiate Smokers from Non-smokers? |
title_sort | can thorax computed tomography severity score in coronavirus disease 2019 patients differentiate smokers from non-smokers? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450094/ https://www.ncbi.nlm.nih.gov/pubmed/35404245 http://dx.doi.org/10.5152/TurkThoracJ.2022.21168 |
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