1. López-Campos, JL, Tan, W, Soriano, JB. Global burden of COPD. Respirology 2016; 21(1): 14–23.
Google Scholar | Crossref | Medline2. https://www.who.int/data/gho/data/themes/topics/causes-of-death/GHO/causes-of-death
Google Scholar3. Balasubramanian, A, MacIntyre, NR, Henderson, RJ, et al. Diffusing capacity of carbon monoxide in assessment of COPD. Chest 2019; 156(6): 1111–1119.
Google Scholar | Crossref | Medline4. Jones, PW . Health status and the spiral of decline. COPD: J Chronic Obstructive Pulm Dis 2009; 6(1): 59–63.
Google Scholar | Crossref5. Krogh, M . The diffusion of gases through the lungs of man. J Physiol 1915; 49(4): 271–300.
Google Scholar | Crossref | Medline6. Hogg, JC, Timens, W. The pathology of chronic obstructive pulmonary disease. Annu Rev Pathol Mech Dis 2009; 4: 435–459.
Google Scholar | Crossref | Medline7. Lee, HY, Kim, JW, Lee, SH, et al. Lower diffusing capacity with chronic bronchitis predicts higher risk of acute exacerbation in chronic obstructive lung disease. J Thorac Dis 2016; 8(6): 1274–1282.
Google Scholar | Crossref | Medline8. Cosio, BG, Soriano, JB, López-Campos, JL, et al. Distribution and outcomes of a phenotype-based approach to guide COPD management: results from the CHAIN cohort. PLoS ONE 2016; 11(9): e0160770.
Google Scholar | Crossref | Medline9. Boutou, AK, Shrikrishna, D, Tanner, RJ, et al. Lung function indices for predicting mortality in COPD. Eur Respir J 2013; 42(3): 616–625.
Google Scholar | Crossref | Medline10. Casanova, C, Cote, C, de Torres, JP, et al. Inspiratory-to-total lung capacity ratio predicts mortality in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2005; 171: 591–597.
Google Scholar | Crossref | Medline | ISI11. Moore, AJ, Soler, RS, Cetti, EJ, et al. Sniff nasal inspiratory pressure versus IC/TLC ratio as predictors of mortality in COPD. Respir Med 2010; 104: 1319–1325.
Google Scholar | Crossref | Medline12. Moher, D, Shamseer, L, Shamseer, L, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev 2015; 4: 1.
Google Scholar | Crossref | Medline13. Rose, L, Prins, KW, Archer, SL, et al. Survival in pulmonary hypertension due to chronic lung disease: influence of low diffusion capacity of the lungs for carbon monoxide. J Heart Lung Transplant 2019; 38(2): 145–155.
Google Scholar | Crossref | Medline14. Saraiva, C, Abreu, T, Neves, D, et al. Mortality predictive factors in subjects with COPD after a pulmonary rehabilitation program: a 3-year study. Respir Care 2016; 61(9): 1179–1185.
Google Scholar | Crossref | Medline15. Pedder, H, Sarri, G, Keeney, E, et al. Data extraction for complex meta-analysis (DECiMAL) guide. Syst Rev 2016; 5(1): 212.
Google Scholar | Crossref | Medline16. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
Google Scholar17. Rostom, A, Dube, C, Cranney, A, et al. Celiac Disease. Rockville (MD). Agency for Healthcare Research and Quality (US), 2004. (Evidence Reports/Technology Assessments, No. 104.) Appendix D. Quality Assessment Forms, http://www.ncbi.nlm.nih.gov/books/NBK35156
Google Scholar18. Ward, H, Cooper, B, Miller, MR. Validation of lung function prediction equations from patient survival data. Eur Respir J 2012; 39(5): 1181–1187.
Google Scholar | Crossref | Medline19. Hozo, SP, Djulbegovic, B, Hozo, I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Medical Research Methodology 2005; 5: 13.
Google Scholar | Crossref | Medline20. Higgins, JPT, Thompson, SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21(11): 1539–1558.
Google Scholar | Crossref | Medline | ISI21. Hur, J, Kim, TH, Kim, SJ, et al. Assessment of the right ventricular function and mass using cardiac multi-detector computed tomography in patients with chronic obstructive pulmonary disease. Korean J Radiol 2007; 8(1): 15–21.
Google Scholar | Crossref | Medline22. Koo, HJ, Lee, SM, Seo, JB, et al. Prediction of pulmonary function in patients with chronic obstructive pulmonary disease: correlation with quantitative CT parameters. Korean J Radiol 2019; 20(4): 683–692.
Google Scholar | Crossref | Medline23. Cockayne, DA, Cheng, DT, Waschki, B, et al. Systemic biomarkers of neutrophilic inflammation, tissue injury and repair in COPD patients with differing levels of disease severity. PLoS ONE 2012; 7(6): e38629.
Google Scholar | Crossref | Medline24. Schoos, MM, Dalsgaard, M, Kjærgaard, J, et al. Echocardiographic predictors of exercise capacity and mortality in chronic obstructive pulmonary disease. BMC Cardiovasc Disord 2013; 13: 84.
Google Scholar | Crossref | Medline25. Portillo, K, Torralba, Y, Blanco, I, et al. Pulmonary hemodynamic profile in chronic obstructive pulmonary disease. Int Journal Chronic Obstructive Pulmonary Disease 2015; 10: 1313–1320.
Google Scholar | Crossref | Medline26. Tang, Y, Zhang, M, Feng, Y, et al. The measurement of lung volumes using body plethysmography and helium dilution methods in COPD patients: a correlation and diagnosis analysis. Scientific Rep 2016; 6: 37550.
Google Scholar | Crossref | Medline27. Larssen, MS, Steine, K, Hilde, JM, et al. Mechanisms of ECG signs in chronic obstructive pulmonary disease. Open Heart 2017; 4(1): e000552.
Google Scholar | Crossref | Medline28. Tanaka, R, Sugiura, H, Yamada, M, et al. Physical inactivity is associated with decreased growth differentiation factor 11 in chronic obstructive pulmonary disease. Int J Chronic Obstructive Pulm Dis 2018; 13: 1333–1342.
Google Scholar | Crossref | Medline29. Qin, J, Li, G, Zhou, J. Characteristics of elderly patients with COPD and newly diagnosed lung cancer, and factors associated with treatment decision. Int J Chronic Obstructive Pulm Dis 2016; 11: 1515–1520.
Google Scholar | Crossref | Medline30. Burgel, P-R, Paillasseur, J-L, Peene, B, et al. Two distinct chronic obstructive pulmonary disease (COPD) phenotypes are associated with high risk of mortality. PLoS ONE 2012; 7(12): e51048.
Google Scholar | Crossref | Medline31. Aguilaniu, B, Roth, H, Jondot, M, et al. A simple semipaced 3-minute chair rise test for routine exercise tolerance testing in COPD. Int J Chronic Obstructive Pulm Dis 2014; 9: 1009–1019.
Google Scholar | Crossref | Medline32. Kirby, M, Pike, D, McCormack, D, et al. Longitudinal computed tomography and magnetic resonance imaging of COPD: thoracic imaging network of Canada (TINCan) study objectives. Chronic Obstructive Pulm Dis J COPD Found 2014; 1(2): 200–211.
Google Scholar | Crossref | Medline33. Sullivan, J-L, Bagevalu, B, Glass, C, et al. B Cell-adaptive immune profile in emphysema-predominant chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2019; 200(11): 1434–1439.
Google Scholar | Crossref | Medline34. Jarenbäck, L, Ankerst, J, Bjermer, L, et al. Flow-volume parameters in COPD related to extended measurements of lung volume, diffusion, and resistance. Pulm Medicine 2013; 2013: 782052.
Google Scholar | Crossref | Medline35. Das, N, Topalovic, M, Aerts, J-M, et al. Area under the forced expiratory flow-volume loop in spirometry indicates severe hyperinflation in COPD patients. Int J Chronic Obstructive Pulm Dis 2019; 14: 409–418.
Google Scholar | Crossref | Medline36. Suzuki, T, Tada, Y, Kawata, N, et al. Influence of pulmonary emphysema on COPD assessment test-oriented categorization in GOLD document. Int Journal Chronic Obstructive Pulmonary Disease 2013; 10: 1199–1205.
Google Scholar37. Jung, YH, Lee, DY, Kim, DW, et al. Clinical significance of laryngopharyngeal reflux in patients with chronic obstructive pulmonary disease. Int Journal Chronic Obstructive Pulmonary Disease 2015; 10: 1343–1351.
Google Scholar | Medline38. Kim, J, Yoon, HI, Oh, YM, et al. Lung function decline rates according to GOLD group in patients with chronic obstructive pulmonary disease. Int Journal Chronic Obstructive Pulmonary Disease 2015; 10: 1819–1827.
Google Scholar | Crossref | Medline39. Pizarro, C, Linnhoff, F, van Essen, F, et al. Lower extremity and carotid artery disease in COPD. ERJ Open Research 2016; 2(4).
Google Scholar | Crossref | Medline40. Lee, SJ, Yun, SS, Ju, S, et al. Validity of the GOLD 2017 classification in the prediction of mortality and respiratory hospitalization in patients with chronic obstructive pulmonary disease. Int J Chronic Obstructive Pulm Dis 2019; 14: 911–919.
Google Scholar | Crossref | Medline41. Trudzinski, FC, Kahnert, K, Vogelmeier, CF, et al. Combined effects of lung function, blood gases and kidney function on the exacerbation risk in stable COPD: results from the COSYCONET cohort. Respir Med 2019; 154: 18–26.
Google Scholar | Crossref | Medline42. Ban, WH, Kang, HH, Kim, IK, et al. Clinical significance of nuclear factor erythroid 2-related factor 2 in patients with chronic obstructive pulmonary disease. Korean J Intern Med 2018; 33(4): 745–752.
Google Scholar | Crossref | Medline43. Motegi, T., Jones, RC, Ishii, T, et al. A comparison of three multidimensional indices of COPD severity as predictors of future exacerbations. Int J Chronic Obstructive Pulm Dis 2013; 8: 259–271.
Google Scholar | Crossref | Medline44. Zhang, J, Bai, C. The significance of serum interleukin-8 in acute exacerbations of chronic obstructive pulmonary disease. Tanaffos 2018; 17(1): 13–21.
Google Scholar | Medline45. Papakonstantinou, E, Karakiulakis, G, Batzios, S, et al. Acute exacerbations of COPD are associated with significant activation of matrix metalloproteinase 9 irrespectively of airway obstruction, emphysema and infection. Respir Res 2015; 16: 78.
Google Scholar | Crossref | Medline46. Sato, M, Chubachi, S, Sasaki, M, et al. Impact of mild exacerbation on COPD symptoms in a Japanese cohort. Int Journal Chronic Obstructive Pulmonary Disease 2016; 11: 1269–1278.
Google Scholar | Medline47. Hu, HL, Nie, ZQ, Lu, Y, et al. Circulating miR-125b but not miR-125a correlates with acute exacerbations of chronic obstructive pulmonary disease and the expressions of inflammatory cytokines. Medicine 2017; 96(51): e9059.
Google Scholar | Crossref | Medline48. Ahn, JH, Chung, JH, Shin, K-C, et al. Critical inhaler handling error is an independent risk factor for frequent exacerbations of chronic obstructive pulmonary disease: interim results of a single center prospective study. Int J Chronic Obstructive Pulm Dis 2019; 14: 2767–2775.
Google Scholar | Crossref | Medline49. Wei, X, Ma, Z, Yu, N, et al. Risk factors predict frequent hospitalization in patients with acute exacerbation of COPD. Int Journal Chronic Obstructive Pulmonary Disease 2018; 13: 121–129.
Google Scholar | Crossref | Medline50. Bhavani, S, Tsai, C-L, Perusich, S, et al. Clinical and immunological factors in emphysema progression. Five-year prospective longitudinal exacerbation study of chronic obstructive pulmonary disease (LES-COPD). Am J Respir Crit Care Med 2015; 192(10): 1171–1178.
Google Scholar | Crossref | Medline51. Pinto-Plata, V, Casanova, C, Divo, M, et al. Plasma metabolomics and clinical predictors of survival differences in COPD patients. Respir Res 2019; 20(1): 219.
Google Scholar | Crossref |