Cargando…
Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan
We noted incidental findings on chest computed tomography (CT) imaging of expiratory central airway collapse (ECAC) in dyspneic patients after military deployment to southwest Asia (mainly Iraq and Afghanistan). We developed a standardized chest CT protocol with dynamic expiration to enhance diagnos...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876438/ https://www.ncbi.nlm.nih.gov/pubmed/34121086 http://dx.doi.org/10.1097/RTI.0000000000000596 |
_version_ | 1784658175528534016 |
---|---|
author | Krefft, Silpa D. Oh, Andrea Zell-Baran, Lauren M. Wolff, Jenna Moore, Camille M. Macedonia, Tony V. Rose, Cecile S. |
author_facet | Krefft, Silpa D. Oh, Andrea Zell-Baran, Lauren M. Wolff, Jenna Moore, Camille M. Macedonia, Tony V. Rose, Cecile S. |
author_sort | Krefft, Silpa D. |
collection | PubMed |
description | We noted incidental findings on chest computed tomography (CT) imaging of expiratory central airway collapse (ECAC) in dyspneic patients after military deployment to southwest Asia (mainly Iraq and Afghanistan). We developed a standardized chest CT protocol with dynamic expiration to enhance diagnostic reliability and investigated demographic, clinical, and deployment characteristics possibly associated with ECAC. MATERIALS AND METHODS: We calculated ECAC in 62 consecutive post-9/11 deployers with dyspnea who underwent multi-detector chest CT acquisition. ECAC was defined as ≥70% reduction in the cross-sectional tracheal area at dynamic expiration. We compared demographics (age, smoking, body mass index), comorbid conditions (gastroesophageal reflux, obstructive sleep apnea [OSA]), and clinical findings (air trapping, forced expiratory volume in 1 second percent predicted) in deployers with and without ECAC. We examined associations between ECAC and forced expiratory volume in 1 second percent predicted, air trapping, OSA, deployment duration, and blast exposure. RESULTS: Among 62 consecutive deployers with persistent dyspnea, 37% had ECAC. Three had severe (>85%) collapse. Those with ECAC were older (mean age 46 vs. 40 y, P=0.02), but no other demographic or clinical characteristics were statistically different among the groups. Although not statistically significant, ECAC odds were 1.5 times higher (95% confidence interval: 0.9, 2.5) for each additional year of southwest Asia deployment. Deployers with ECAC had 1.6 times greater odds (95% confidence interval: 0.5, 4.8) of OSA. CONCLUSIONS: Findings suggest that ECAC is common in symptomatic southwest Asia deployers. Chest high-resolution CT with dynamic expiration may provide an insight into the causes of dyspnea in this population, although risk factors for ECAC remain to be determined. A standardized semiquantitative approach to CT-based assessment of ECAC should improve reliable diagnosis in dyspneic patients. |
format | Online Article Text |
id | pubmed-8876438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-88764382022-03-03 Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan Krefft, Silpa D. Oh, Andrea Zell-Baran, Lauren M. Wolff, Jenna Moore, Camille M. Macedonia, Tony V. Rose, Cecile S. J Thorac Imaging Original Articles We noted incidental findings on chest computed tomography (CT) imaging of expiratory central airway collapse (ECAC) in dyspneic patients after military deployment to southwest Asia (mainly Iraq and Afghanistan). We developed a standardized chest CT protocol with dynamic expiration to enhance diagnostic reliability and investigated demographic, clinical, and deployment characteristics possibly associated with ECAC. MATERIALS AND METHODS: We calculated ECAC in 62 consecutive post-9/11 deployers with dyspnea who underwent multi-detector chest CT acquisition. ECAC was defined as ≥70% reduction in the cross-sectional tracheal area at dynamic expiration. We compared demographics (age, smoking, body mass index), comorbid conditions (gastroesophageal reflux, obstructive sleep apnea [OSA]), and clinical findings (air trapping, forced expiratory volume in 1 second percent predicted) in deployers with and without ECAC. We examined associations between ECAC and forced expiratory volume in 1 second percent predicted, air trapping, OSA, deployment duration, and blast exposure. RESULTS: Among 62 consecutive deployers with persistent dyspnea, 37% had ECAC. Three had severe (>85%) collapse. Those with ECAC were older (mean age 46 vs. 40 y, P=0.02), but no other demographic or clinical characteristics were statistically different among the groups. Although not statistically significant, ECAC odds were 1.5 times higher (95% confidence interval: 0.9, 2.5) for each additional year of southwest Asia deployment. Deployers with ECAC had 1.6 times greater odds (95% confidence interval: 0.5, 4.8) of OSA. CONCLUSIONS: Findings suggest that ECAC is common in symptomatic southwest Asia deployers. Chest high-resolution CT with dynamic expiration may provide an insight into the causes of dyspnea in this population, although risk factors for ECAC remain to be determined. A standardized semiquantitative approach to CT-based assessment of ECAC should improve reliable diagnosis in dyspneic patients. Lippincott Williams & Wilkins 2022-03 2021-06-11 /pmc/articles/PMC8876438/ /pubmed/34121086 http://dx.doi.org/10.1097/RTI.0000000000000596 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Articles Krefft, Silpa D. Oh, Andrea Zell-Baran, Lauren M. Wolff, Jenna Moore, Camille M. Macedonia, Tony V. Rose, Cecile S. Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title | Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title_full | Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title_fullStr | Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title_full_unstemmed | Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title_short | Semiquantitative Chest Computed Tomography Assessment Identifies Expiratory Central Airway Collapse in Symptomatic Military Personnel Deployed to Iraq and Afghanistan |
title_sort | semiquantitative chest computed tomography assessment identifies expiratory central airway collapse in symptomatic military personnel deployed to iraq and afghanistan |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876438/ https://www.ncbi.nlm.nih.gov/pubmed/34121086 http://dx.doi.org/10.1097/RTI.0000000000000596 |
work_keys_str_mv | AT krefftsilpad semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT ohandrea semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT zellbaranlaurenm semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT wolffjenna semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT moorecamillem semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT macedoniatonyv semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan AT rosececiles semiquantitativechestcomputedtomographyassessmentidentifiesexpiratorycentralairwaycollapseinsymptomaticmilitarypersonneldeployedtoiraqandafghanistan |