Literature DB >> 33549113

A comparative study of chest CT findings regarding the effects of regional dust exposure on patients with COPD living in urban areas and rural areas near cement plants.

Junghyun Kim1, Bom Kim2, So Hyeon Bak3, Yeon-Mok Oh4, Woo Jin Kim5.   

Abstract

BACKGROUND: The clinical and radiological presentation of chronic obstructive pulmonary disease (COPD) is heterogenous depending on the characterized sources of inflammation. This study aimed to evaluate COPD phenotypes associated with specific dust exposure.
METHODS: This study was designed to compare the characteristics, clinical outcomes and radiological findings between two prospective COPD cohorts representing two distinguishing regions in the Republic of Korea; COPD in Dusty Area (CODA) and the Korean Obstructive Lung Disease (KOLD) cohort. A total of 733 participants (n = 186 for CODA, and n = 547 for KOLD) were included finally. A multivariate analysis to compare lung function and computed tomography (CT) measurements of both cohort studies after adjusting for age, sex, education, body mass index, smoking status, and pack-year, Charlson comorbidity index, and frequency of exacerbation were performed by entering the level of FEV1(%), biomass exposure and COPD medication into the model in stepwise.
RESULTS: The mean wall area (MWA, %) became significantly lower in COPD patients in KOLD from urban and metropolitan area than those in CODA cohort from cement dust area (mean ± standard deviation [SD]; 70.2 ± 1.21% in CODA vs. 66.8 ± 0.88% in KOLD, p = 0.028) after including FEV1 in the model. COPD subjects in KOLD cohort had higher CT-emphysema index (EI, 6.07 ± 3.06 in CODA vs. 20.0 ± 2.21 in KOLD, p < 0.001, respectively). The difference in the EI (%) was consistently significant even after further adjustment of FEV1 (6.12 ± 2.88% in CODA vs. 17.3 ± 2.10% in KOLD, p = 0.002, respectively). However, there was no difference in the ratio of mean lung density (MLD) between the two cohorts (p = 0.077). Additional adjustment for biomass parameters and medication for COPD did not alter the statistical significance after entering into the analysis with COPD medication.
CONCLUSIONS: Higher MWA and lower EI were observed in COPD patients from the region with dust exposure. These results suggest that the imaging phenotype of COPD is influenced by specific environmental exposure.

Entities:  

Keywords:  COPD; CT; Dust; Emphysema

Year:  2021        PMID: 33549113     DOI: 10.1186/s12931-021-01649-4

Source DB:  PubMed          Journal:  Respir Res        ISSN: 1465-9921


  4 in total

1.  Comparison of lung morphology in COPD secondary to cigarette and biomass smoke.

Authors:  R M Rivera; M G Cosio; H Ghezzo; M Salazar; R Pérez-Padilla
Journal:  Int J Tuberc Lung Dis       Date:  2008-08       Impact factor: 2.373

2.  Small Airway Wall Thickening Assessed by Computerized Tomography Is Associated With Low Lung Function in Chinese Carbon Black Packers.

Authors:  Xue Cao; Li Lin; Akshay Sood; Qianli Ma; Xiangyun Zhang; Yuansheng Liu; Hong Liu; Yanting Li; Tao Wang; Jinglong Tang; Menghui Jiang; Rong Zhang; Shanfa Yu; Zhiqiang Yu; Yuxin Zheng; Wei Han; Shuguang Leng
Journal:  Toxicol Sci       Date:  2020-11-01       Impact factor: 4.849

3.  Small airway imaging phenotypes in biomass- and tobacco smoke-exposed patients with COPD.

Authors:  Lalita Fernandes; Nandani Gulati; Yasmin Fernandes; Anthony Menezes Mesquita; Mahesh Sardessai; Jan-Willem J Lammers; Firdaus A Mohamed Hoesein; Nick H T Ten Hacken; Maarten van den Berge; Craig J Galbán; Salman Siddiqui
Journal:  ERJ Open Res       Date:  2017-04-12

4.  Chronic lower respiratory diseases among demolition and cement workers: a population-based register study.

Authors:  Ellen Fischer Mølgaard; Harald Hannerz; Finn Tüchsen; Charlotte Brauer; Lilli Kirkeskov
Journal:  BMJ Open       Date:  2013-01-11       Impact factor: 2.692

  4 in total
  1 in total

1.  Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease.

Authors:  Changhong Zhang; Jianhua Liu; Liang Cao; Gaixia Feng; Zhihua Zhang; Mengmeng Ji; Yaping Zhang
Journal:  Contrast Media Mol Imaging       Date:  2022-08-18       Impact factor: 3.009

  1 in total

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