References
- GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–1788.
- Rabe KF, Watz H. Chronic obstructive pulmonary disease. Lancet. 2017;389(10082):1931–1940.
- Celli BR, Agustí A. COPD: time to improve its taxonomy? ERJ Open Res. 2018;4(1):00132–2017.
- Koo HK, Vasilescu DM, Booth S, et al. Small airways disease in mild and moderate chronic obstructive pulmonary disease: a cross-sectional study. Lancet Respir Med. 2018;6(8):591–602.
- Jobst BJ, Weinheimer O, Buschulte T, et al. Longitudinal airway remodeling in active and past smokers in a lung cancer screening population. Eur Radiol. 2019;29(6):2968–2980.
- Takayanagi S, Kawata N, Tada Y, et al. Longitudinal changes in structural abnormalities using MDCT in COPD: do the CT measurements of airway wall thickness and small pulmonary vessels change in parallel with emphysematous progression? Int J Chron Obstruct Pulmon Dis. 2017;12:551–560.
- Guan ZHUBJ. HB. The application of quantitative CT in the diagnosis and treatment of COPD. J Pract Radio. 2018;34:1994.
- Regan EA, Lynch DA, Curran-Everett D, et al. Clinical and radiologic disease in smokers with normal spirometry. JAMA Intern Med. 2015;175(9):1539–1549.
- Çolak Y, Afzal S. Prognostic significance of chronic respiratory symptoms in individuals with normal spirometry. Eur Respir J. 2020;55(1):1902226.
- Woodruff PG, Barr RG, Bleecker E, et al. Clinical significance of symptoms in smokers with preserved pulmonary function. N Engl J Med. 2016;374(19):1811–1821.
- Chen S, Wang C, Li B, et al. Risk factors for FEV1 decline in mild COPD and high-risk populations. Int J Chron Obstruct Pulmon Dis. 2017;12:435–442.
- Wan ES, Castaldi PJ, Cho MH, et al. Epidemiology, genetics, and subtyping of preserved ratio impaired spirometry (PRISm) in COPDGene. Respir Res. 2014;15(1):89.
- Xia Y, Guan Y, Fan L, et al. Dynamic contrast enhanced magnetic resonance perfusion imaging in high-risk smokers and smoking-related COPD: correlations with pulmonary function tests and quantitative computed tomography. COPD. 2014;11(5):510–520.
- Fan L, Xia Y, Guan Y, et al. Capability of differentiating smokers with normal pulmonary function from COPD patients: a comparison of CT pulmonary volume analysis and MR perfusion imaging. Eur Radiol. 2013;23(5):1234–1241.
- Kirby M, Yin Y, Tschirren J, et al. A novel method of estimating small airway disease using inspiratory-to-expiratory computed tomography. Respiration. 2017;94(4):336–345.
- Galbán CJ, Han MK, Boes JL, et al. Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression. Nat Med. 2012;18(11):1711–1715.
- Pedregosa F, Varoquaux G, Gramfort A, et al. Scikit-learn: machine learning in Python. J Machine Res. 2011;12:2825–2830.
- Stringer WW, Porszasz J, Bhatt SP, McCormack MC, Make BJ, Casaburi R. Physiologic insights from the COPD genetic epidemiology study. Chronic Obstr Pulm Dis. 2019;6(3):256–266.
- Young KA, Strand M, Ragland MF, et al. Pulmonary subtypes exhibit differential global initiative for chronic obstructive lung disease spirometry stage progression: the COPDGene® study. Chronic Obstr Pulm Dis. 2019;6(5):414–429.
- Lowe KE, Regan EA, Anzueto A, et al. COPDGene® 2019: redefining the diagnosis of chronic obstructive pulmonary disease. Chronic Obstr Pulm Dis. 2019;6(5):384–399.
- Balkissoon R. Journal Club-COPD2020 update. global initiative for chronic obstructive lung disease 2020 report and the journal of the COPD foundation special edition, moving to a new definition for COPD: ”COPDGene® 2019”. Chronic Obstr Pulm Dis. 2019;6(4):64–72.
- Bhatt SP, Soler X, Wang X, et al. Association between functional small airway disease and FEV1 decline in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2016;194(2):178–184.
- Kim SJ, Lee J, Park YS, et al. Age-related annual decline of lung function in patients with COPD. Int J Chron Obstruct Pulmon Dis. 2015;11:51–60.
- Grabicki M, Kuźnar-Kamińska B, Rubinsztajn R, et al. COPD course and comorbidities: are there gender differences? Adv Exp Med Biol. 2019;1113:43–51.
- Zhou Y, Wang D, Liu S, et al. The association between BMI and COPD: the results of two population-based studies in Guangzhou, China. COPD. 2013;10(5):567–572.
- Ran PX, Wang C, Yao WZ, et al. A study on the correlation of body mass index with chronic obstructive pulmonary disease and quality of life. Zhonghua Jie He He Hu Xi Za Zhi. 2007;30(1):18–22.