Cargando…

Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma

Pulmonary contusion is an important risk factor for respiratory complications in trauma patients. Hence, we aimed to determine the relationship between the ratio of pulmonary contusion volume to the total lung volume and patient outcomes and the predictability of respiratory complications. We retros...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Na Hyeon, Kim, Seon Hee, Seo, Sang-hyup, Kim, Byeong-Jun, Lee, Chi-Seung, Kim, Gil Hwan, Park, Sung Jin, Kim, Seon Hyun, Ryu, Dong Yeon, Kim, Ho Hyun, Lee, Sang Bong, Park, Chan Ik, Kim, Jae Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113972/
https://www.ncbi.nlm.nih.gov/pubmed/37076517
http://dx.doi.org/10.1038/s41598-023-33275-z
_version_ 1785027932453863424
author Lee, Na Hyeon
Kim, Seon Hee
Seo, Sang-hyup
Kim, Byeong-Jun
Lee, Chi-Seung
Kim, Gil Hwan
Park, Sung Jin
Kim, Seon Hyun
Ryu, Dong Yeon
Kim, Ho Hyun
Lee, Sang Bong
Park, Chan Ik
Kim, Jae Hun
author_facet Lee, Na Hyeon
Kim, Seon Hee
Seo, Sang-hyup
Kim, Byeong-Jun
Lee, Chi-Seung
Kim, Gil Hwan
Park, Sung Jin
Kim, Seon Hyun
Ryu, Dong Yeon
Kim, Ho Hyun
Lee, Sang Bong
Park, Chan Ik
Kim, Jae Hun
author_sort Lee, Na Hyeon
collection PubMed
description Pulmonary contusion is an important risk factor for respiratory complications in trauma patients. Hence, we aimed to determine the relationship between the ratio of pulmonary contusion volume to the total lung volume and patient outcomes and the predictability of respiratory complications. We retrospectively included 73 patients with a pulmonary contusion on chest computed tomography (CT) from 800 patients with chest trauma admitted to our facility between January 2019 and January 2020. Chest injury severity was expressed as the ratio of pulmonary contusion volume to total lung volume by quantifying pulmonary contusion volume on chest CT. The cut-off value was 80%. Among the 73 patients with pulmonary contusion (77% males, mean age: 45.3 years), 28 patients had pneumonia, and five had acute respiratory distress syndrome. The number of patients in the severe risk group with > 20% of pulmonary contusion volume was 38, among whom 23 had pneumonia. For predicting pneumonia, the area under the receiver operating characteristic curves for the ratio of pulmonary contusion volume was 0.85 (95% confidence interval 0.76–0.95, p = 0.008); the optimal threshold was 70.4%. Quantifying pulmonary contusion volume using initial CT enables identifying patients with chest trauma at high risk of delayed respiratory complications.
format Online
Article
Text
id pubmed-10113972
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-101139722023-04-20 Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma Lee, Na Hyeon Kim, Seon Hee Seo, Sang-hyup Kim, Byeong-Jun Lee, Chi-Seung Kim, Gil Hwan Park, Sung Jin Kim, Seon Hyun Ryu, Dong Yeon Kim, Ho Hyun Lee, Sang Bong Park, Chan Ik Kim, Jae Hun Sci Rep Article Pulmonary contusion is an important risk factor for respiratory complications in trauma patients. Hence, we aimed to determine the relationship between the ratio of pulmonary contusion volume to the total lung volume and patient outcomes and the predictability of respiratory complications. We retrospectively included 73 patients with a pulmonary contusion on chest computed tomography (CT) from 800 patients with chest trauma admitted to our facility between January 2019 and January 2020. Chest injury severity was expressed as the ratio of pulmonary contusion volume to total lung volume by quantifying pulmonary contusion volume on chest CT. The cut-off value was 80%. Among the 73 patients with pulmonary contusion (77% males, mean age: 45.3 years), 28 patients had pneumonia, and five had acute respiratory distress syndrome. The number of patients in the severe risk group with > 20% of pulmonary contusion volume was 38, among whom 23 had pneumonia. For predicting pneumonia, the area under the receiver operating characteristic curves for the ratio of pulmonary contusion volume was 0.85 (95% confidence interval 0.76–0.95, p = 0.008); the optimal threshold was 70.4%. Quantifying pulmonary contusion volume using initial CT enables identifying patients with chest trauma at high risk of delayed respiratory complications. Nature Publishing Group UK 2023-04-19 /pmc/articles/PMC10113972/ /pubmed/37076517 http://dx.doi.org/10.1038/s41598-023-33275-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Lee, Na Hyeon
Kim, Seon Hee
Seo, Sang-hyup
Kim, Byeong-Jun
Lee, Chi-Seung
Kim, Gil Hwan
Park, Sung Jin
Kim, Seon Hyun
Ryu, Dong Yeon
Kim, Ho Hyun
Lee, Sang Bong
Park, Chan Ik
Kim, Jae Hun
Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title_full Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title_fullStr Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title_full_unstemmed Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title_short Prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
title_sort prediction of respiratory complications by quantifying lung contusion volume using chest computed tomography in patients with chest trauma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113972/
https://www.ncbi.nlm.nih.gov/pubmed/37076517
http://dx.doi.org/10.1038/s41598-023-33275-z
work_keys_str_mv AT leenahyeon predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimseonhee predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT seosanghyup predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimbyeongjun predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT leechiseung predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimgilhwan predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT parksungjin predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimseonhyun predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT ryudongyeon predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimhohyun predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT leesangbong predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT parkchanik predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma
AT kimjaehun predictionofrespiratorycomplicationsbyquantifyinglungcontusionvolumeusingchestcomputedtomographyinpatientswithchesttrauma