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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

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          Abstract

          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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          Most cited references41

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          Standardisation of spirometry.

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            Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement

            Background: Spirometry is the most common pulmonary function test. It is widely used in the assessment of lung function to provide objective information used in the diagnosis of lung diseases and monitoring lung health. In 2005, the American Thoracic Society and the European Respiratory Society jointly adopted technical standards for conducting spirometry. Improvements in instrumentation and computational capabilities, together with new research studies and enhanced quality assurance approaches, have led to the need to update the 2005 technical standards for spirometry to take full advantage of current technical capabilities. Methods: This spirometry technical standards document was developed by an international joint task force, appointed by the American Thoracic Society and the European Respiratory Society, with expertise in conducting and analyzing pulmonary function tests, laboratory quality assurance, and developing international standards. A comprehensive review of published evidence was performed. A patient survey was developed to capture patients’ experiences. Results: Revisions to the 2005 technical standards for spirometry were made, including the addition of factors that were not previously considered. Evidence to support the revisions was cited when applicable. The experience and expertise of task force members were used to develop recommended best practices. Conclusions: Standards and consensus recommendations are presented for manufacturers, clinicians, operators, and researchers with the aims of increasing the accuracy, precision, and quality of spirometric measurements and improving the patient experience. A comprehensive guide to aid in the implementation of these standards was developed as an online supplement.
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              Inflammatory mechanisms in patients with chronic obstructive pulmonary disease.

              Chronic obstructive pulmonary disease (COPD) is associated with chronic inflammation affecting predominantly the lung parenchyma and peripheral airways that results in largely irreversible and progressive airflow limitation. This inflammation is characterized by increased numbers of alveolar macrophages, neutrophils, T lymphocytes (predominantly TC1, TH1, and TH17 cells), and innate lymphoid cells recruited from the circulation. These cells and structural cells, including epithelial and endothelial cells and fibroblasts, secrete a variety of proinflammatory mediators, including cytokines, chemokines, growth factors, and lipid mediators. Although most patients with COPD have a predominantly neutrophilic inflammation, some have an increase in eosinophil counts, which might be orchestrated by TH2 cells and type 2 innate lymphoid cells though release of IL-33 from epithelial cells. These patients might be more responsive to corticosteroids and bronchodilators. Oxidative stress plays a key role in driving COPD-related inflammation, even in ex-smokers, and might result in activation of the proinflammatory transcription factor nuclear factor κB (NF-κB), impaired antiprotease defenses, DNA damage, cellular senescence, autoantibody generation, and corticosteroid resistance though inactivation of histone deacetylase 2. Systemic inflammation is also found in patients with COPD and can worsen comorbidities, such as cardiovascular diseases, diabetes, and osteoporosis. Accelerated aging in the lungs of patients with COPD can also generate inflammatory protein release from senescent cells in the lung. In the future, it will be important to recognize phenotypes of patients with optimal responses to more specific therapies, and development of biomarkers that identify the therapeutic phenotypes will be important.
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                Author and article information

                Contributors
                qilin86521@163.com
                ming_li@fudan.edu.cn
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                15 March 2023
                15 March 2023
                2023
                : 23
                : 86
                Affiliations
                [1 ]GRID grid.413597.d, ISNI 0000 0004 1757 8802, Department of Radiology, , Huadong Hospital Affiliated With Fudan University, ; No. 221 West Yanan Road, Shanghai, 200040 China
                [2 ]GRID grid.413597.d, ISNI 0000 0004 1757 8802, Department of Respiratory Medicine, , Huadong Hospital Affiliated With Fudan University, ; No. 221 West Yanan Road, Shanghai, 200040 China
                Article
                2380
                10.1186/s12890-023-02380-0
                10015933
                36922831
                444f9938-bfe8-4b25-a998-0a46996363b4
                © The Author(s) 2023

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 14 September 2022
                : 3 March 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100012543, Shanghai Science and Technology Development Foundation;
                Award ID: 22Y11901200
                Award ID: 21Y11910500
                Award ID: 20Y11902900
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100017950, Shanghai Municipal Health Commission;
                Award ID: 202140036
                Award ID: 20204Y029
                Award Recipient :
                Funded by: National Natural Science Foundation of China
                Award ID: 61976238
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100018630, Shanghai Municipal People's Government;
                Award ID: XXRC2213
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Respiratory medicine
                copd,maximal mid-expiratory flow,quantitative computed tomography
                Respiratory medicine
                copd, maximal mid-expiratory flow, quantitative computed tomography

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