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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.
Afiliación
  • Krefft SD; National Jewish Health, Division of Environmental and Occupational Health Sciences.
  • Oh A; Veterans Administration Eastern Colorado Health Care System, Division of Pulmonary and Critical Care Medicine.
  • Zell-Baran LM; Division of Pulmonary and Critical Care, School of Medicine.
  • Wolff J; National Jewish Health, Department of Radiology.
  • Moore CM; National Jewish Health, Division of Environmental and Occupational Health Sciences.
  • Macedonia TV; Department of Epidemiology, Colorado School of Public Health.
  • Rose CS; Child Health Associate/Physician Assistant Program, School of Medicine.
J Thorac Imaging ; 37(2): 117-124, 2022 Mar 01.
Article en En | MEDLINE | ID: mdl-34121086
ABSTRACT

PURPOSE:

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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Personal Militar Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Personal Militar Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article