Is lung density associated with severity of COVID-19?

2020
journal article
article
cris.lastimport.wos2024-04-10T01:55:35Z
dc.abstract.enPurpose: Emphysema and chronic obstructive lung disease were previously identified as major risk factors for severe disease progression in COVID-19. Computed tomography (CT)-based lung-density analysis offers a fast, reliable, and quantitative assessment of lung density. Therefore, we aimed to assess the benefit of CT-based lung density measurements to predict possible severe disease progression in COVID-19. Material and methods: Thirty COVID-19-positive patients were included in this retrospective study. Lung density was quantified based on routinely acquired chest CTs. Presence of COVID-19 was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Wilcoxon test was used to compare two groups of patients. A multivariate regression analysis, adjusted for age and sex, was employed to model the relative increase of risk for severe disease, depending on the measured densities. Results: Intensive care unit (ICU) patients or patients requiring mechanical ventilation showed a lower proportion of medium- and low-density lung volume compared to patients on the normal ward, but a significantly larger volume of high-density lung volume (12.26 dl IQR 4.65 dl vs. 7.51 dl vs. IQR 5.39 dl, p = 0.039). In multivariate regression analysis, high-density lung volume was identified as a significant predictor of severe disease. Conclusions: The amount of high-density lung tissue showed a significant association with severe COVID-19, with odds ratios of 1.42 (95% CI: 1.09-2.00) and 1.37 (95% CI: 1.03-2.11) for requiring intensive care and mechanical ventilation, respectively. Acknowledging our small sample size as an important limitation; our study might thus suggest that high-density lung tissue could serve as a possible predictor of severe COVID-19.pl
dc.contributor.authorBressem, Keno K.pl
dc.contributor.authorAdams, Lisa C.pl
dc.contributor.authorAlbrecht, Jakobpl
dc.contributor.authorPetersen, Antoniepl
dc.contributor.authorThieß, Hans-Martinpl
dc.contributor.authorNiehues, Alexandrapl
dc.contributor.authorNiehues, Stefan M.pl
dc.contributor.authorVahldiek, Janis L.pl
dc.date.accessioned2020-11-17T09:43:44Z
dc.date.available2020-11-17T09:43:44Z
dc.date.issued2020pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e605-e606pl
dc.description.physicale600-e606pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume85pl
dc.identifier.doi10.5114/pjr.2020.100788pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/253987
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enCT scanpl
dc.subject.enspiral CTpl
dc.subject.enSARS Coronaviruspl
dc.subject.enSARS-CoVpl
dc.subtypeArticlepl
dc.titleIs lung density associated with severity of COVID-19?pl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-10T01:55:35Z
dc.abstract.enpl
Purpose: Emphysema and chronic obstructive lung disease were previously identified as major risk factors for severe disease progression in COVID-19. Computed tomography (CT)-based lung-density analysis offers a fast, reliable, and quantitative assessment of lung density. Therefore, we aimed to assess the benefit of CT-based lung density measurements to predict possible severe disease progression in COVID-19. Material and methods: Thirty COVID-19-positive patients were included in this retrospective study. Lung density was quantified based on routinely acquired chest CTs. Presence of COVID-19 was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Wilcoxon test was used to compare two groups of patients. A multivariate regression analysis, adjusted for age and sex, was employed to model the relative increase of risk for severe disease, depending on the measured densities. Results: Intensive care unit (ICU) patients or patients requiring mechanical ventilation showed a lower proportion of medium- and low-density lung volume compared to patients on the normal ward, but a significantly larger volume of high-density lung volume (12.26 dl IQR 4.65 dl vs. 7.51 dl vs. IQR 5.39 dl, p = 0.039). In multivariate regression analysis, high-density lung volume was identified as a significant predictor of severe disease. Conclusions: The amount of high-density lung tissue showed a significant association with severe COVID-19, with odds ratios of 1.42 (95% CI: 1.09-2.00) and 1.37 (95% CI: 1.03-2.11) for requiring intensive care and mechanical ventilation, respectively. Acknowledging our small sample size as an important limitation; our study might thus suggest that high-density lung tissue could serve as a possible predictor of severe COVID-19.
dc.contributor.authorpl
Bressem, Keno K.
dc.contributor.authorpl
Adams, Lisa C.
dc.contributor.authorpl
Albrecht, Jakob
dc.contributor.authorpl
Petersen, Antonie
dc.contributor.authorpl
Thieß, Hans-Martin
dc.contributor.authorpl
Niehues, Alexandra
dc.contributor.authorpl
Niehues, Stefan M.
dc.contributor.authorpl
Vahldiek, Janis L.
dc.date.accessioned
2020-11-17T09:43:44Z
dc.date.available
2020-11-17T09:43:44Z
dc.date.issuedpl
2020
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e605-e606
dc.description.physicalpl
e600-e606
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
85
dc.identifier.doipl
10.5114/pjr.2020.100788
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/253987
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
CT scan
dc.subject.enpl
spiral CT
dc.subject.enpl
SARS Coronavirus
dc.subject.enpl
SARS-CoV
dc.subtypepl
Article
dc.titlepl
Is lung density associated with severity of COVID-19?
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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