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Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population

BACKGROUND: Maximal mid-expiratory flow (MMEF) is an earlier predictor of chronic obstructive pulmonary disease (COPD) development than forced expiratory volume in 1 s (FEV(1)). Changes of lung structure in patients with MMEF impairment only is still not clear. Therefore, this study aimed to investi...

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Autores principales: Yang, Yuling, Ge, Haiyan, Lu, Jinjuan, Huang, Xuemei, Wang, Kun, Jin, Liang, Qi, Lin, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015933/
https://www.ncbi.nlm.nih.gov/pubmed/36922831
http://dx.doi.org/10.1186/s12890-023-02380-0
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author Yang, Yuling
Ge, Haiyan
Lu, Jinjuan
Huang, Xuemei
Wang, Kun
Jin, Liang
Qi, Lin
Li, Ming
author_facet Yang, Yuling
Ge, Haiyan
Lu, Jinjuan
Huang, Xuemei
Wang, Kun
Jin, Liang
Qi, Lin
Li, Ming
author_sort Yang, Yuling
collection PubMed
description BACKGROUND: Maximal mid-expiratory flow (MMEF) is an earlier predictor of chronic obstructive pulmonary disease (COPD) development than forced expiratory volume in 1 s (FEV(1)). Changes of lung structure in patients with MMEF impairment only is still not clear. Therefore, this study aimed to investigate the structural features of patients with decreased MMEF by quantitative computed tomography (QCT) and develop a predictive model for predicting patients with reduced MMEF in normal lung function population. METHODS: In this study, 131 patients with normal spirometry results and available volumetric chest CT images were enrolled and divided into the reduced MMEF group (FEV(1)/forced expiratory vital capacity (FEV(1)/FVC) > 0.7, FEV(1)% predictive values (FEV(1)%pred) > 80%, MMEF%pred < 80%, n = 52) and the normal MMEF group (FEV(1)/FVC > 0.7, FEV(1)%pred > 80%, MMEF%pred ≥ 80%, n = 79). The emphysema, small airway disease and medium-size airway parameters were measured by a commercial software. The differences were investigated in clinical features, spirometrical parameters and QCT parameters between the two groups. A nomogram model was constructed based on the results of the multivariable logistic regression model. Spearman’s correlation coefficients were calculated between QCT measurements and spirometrical parameters. RESULTS: There were more males in reduced MMEF group than normal group (P < 0.05). Lung parenchyma parameter (PRM(Emph)) and airway-related parameters (functional small airway disease (PRM(fSAD)), luminal area of fifth- and sixth- generation airway (LA(5), LA(6)) were significantly different between the reduced MMEF group and the normal group (20.2 ± 17.4 vs 9.4 ± 6.7, 3.4 ± 3.5 vs 1.9 ± 2.0, 12.2 ± 2.5 vs 13.7 ± 3.4, 7.7 ± 2.4 vs 8.9 ± 2.8, respectively, all P < 0.01). After multivariable logistical regression, only sex (odds ratio [OR]: 2.777; 95% confidence interval [CI]:1.123–3.867), PRM(fSAD) (OR:1.102, 95%CI:1.045–1.162) and LA(6) (OR:0.650, 95%CI:0.528–0.799) had significant differences between the two groups (P < 0.05) and a model incorporating with the three indicators was constructed (area under curve, 0.836). Correlation analysis showed MMEF%pred had mild to moderate correlation with airway-related measurements. CONCLUSION: In normal lung function population, patients with reduced MMEF have potential medium-size and small airway changes, and MMEF%pred is significantly associated with airway-related CT parameters. The nomogram incorporating with sex, PRM(fSAD) and LA(6) has good predictive value and offers more objective evidences in a group with reduced MMEF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02380-0.
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spelling pubmed-100159332023-03-16 Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population Yang, Yuling Ge, Haiyan Lu, Jinjuan Huang, Xuemei Wang, Kun Jin, Liang Qi, Lin Li, Ming BMC Pulm Med Research BACKGROUND: Maximal mid-expiratory flow (MMEF) is an earlier predictor of chronic obstructive pulmonary disease (COPD) development than forced expiratory volume in 1 s (FEV(1)). Changes of lung structure in patients with MMEF impairment only is still not clear. Therefore, this study aimed to investigate the structural features of patients with decreased MMEF by quantitative computed tomography (QCT) and develop a predictive model for predicting patients with reduced MMEF in normal lung function population. METHODS: In this study, 131 patients with normal spirometry results and available volumetric chest CT images were enrolled and divided into the reduced MMEF group (FEV(1)/forced expiratory vital capacity (FEV(1)/FVC) > 0.7, FEV(1)% predictive values (FEV(1)%pred) > 80%, MMEF%pred < 80%, n = 52) and the normal MMEF group (FEV(1)/FVC > 0.7, FEV(1)%pred > 80%, MMEF%pred ≥ 80%, n = 79). The emphysema, small airway disease and medium-size airway parameters were measured by a commercial software. The differences were investigated in clinical features, spirometrical parameters and QCT parameters between the two groups. A nomogram model was constructed based on the results of the multivariable logistic regression model. Spearman’s correlation coefficients were calculated between QCT measurements and spirometrical parameters. RESULTS: There were more males in reduced MMEF group than normal group (P < 0.05). Lung parenchyma parameter (PRM(Emph)) and airway-related parameters (functional small airway disease (PRM(fSAD)), luminal area of fifth- and sixth- generation airway (LA(5), LA(6)) were significantly different between the reduced MMEF group and the normal group (20.2 ± 17.4 vs 9.4 ± 6.7, 3.4 ± 3.5 vs 1.9 ± 2.0, 12.2 ± 2.5 vs 13.7 ± 3.4, 7.7 ± 2.4 vs 8.9 ± 2.8, respectively, all P < 0.01). After multivariable logistical regression, only sex (odds ratio [OR]: 2.777; 95% confidence interval [CI]:1.123–3.867), PRM(fSAD) (OR:1.102, 95%CI:1.045–1.162) and LA(6) (OR:0.650, 95%CI:0.528–0.799) had significant differences between the two groups (P < 0.05) and a model incorporating with the three indicators was constructed (area under curve, 0.836). Correlation analysis showed MMEF%pred had mild to moderate correlation with airway-related measurements. CONCLUSION: In normal lung function population, patients with reduced MMEF have potential medium-size and small airway changes, and MMEF%pred is significantly associated with airway-related CT parameters. The nomogram incorporating with sex, PRM(fSAD) and LA(6) has good predictive value and offers more objective evidences in a group with reduced MMEF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02380-0. BioMed Central 2023-03-15 /pmc/articles/PMC10015933/ /pubmed/36922831 http://dx.doi.org/10.1186/s12890-023-02380-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yang, Yuling
Ge, Haiyan
Lu, Jinjuan
Huang, Xuemei
Wang, Kun
Jin, Liang
Qi, Lin
Li, Ming
Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title_full Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title_fullStr Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title_full_unstemmed Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title_short Structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
title_sort structural features on quantitative chest computed tomography of patients with maximal mid-expiratory flow impairment in a normal lung function population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015933/
https://www.ncbi.nlm.nih.gov/pubmed/36922831
http://dx.doi.org/10.1186/s12890-023-02380-0
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