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Original Research

The Relation Between Clinical Phenotypes, GOLD Groups/Stages and Mortality in COPD Patients – A Prospective Multicenter Study

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Pages 1171-1182 | Published online: 28 Apr 2021

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.
  • Miravitlles M, Soler-Cataluña JJ, Calle M, et al. Spanish guidelines for management of chronic obstructive pulmonary disease (GesEPOC) 2017. Pharmacological treatment of stable phase. Arch Bronconeumol. 2017;53(6):324–335. doi:10.1016/j.arbres.2017.03.018
  • Agusti A, Bel E, Thomas M, et al. Treatable traits: toward precision medicine of chronic airway diseases. Eur Respir J. 2016;47(2):410–419. doi:10.1183/13993003.01359-2015
  • McDonald VM, Fingleton J, Agusti A, et al.; Participants of the Treatable Traits Down Under International Workshop; Treatable Traits Down Under International Workshop participants. Treatable traits: a new paradigm for 21st century management of chronic airway diseases: treatable traits down under international workshop report. Eur Respir J. 2019;53(5):1802058. doi:10.1183/13993003.02058-2018
  • Ulrik CS, Vijverberg S, Hanania NA, Diamant Z. Precision medicine and treatable traits in chronic airway diseases - where do we stand? Curr Opin Pulm Med. 2020;26(1):33–39. doi:10.1097/MCP.0000000000000639
  • Zatloukal J, Brat K, Neumannova K, et al. Chronic obstructive pulmonary disease - diagnosis and management of stable disease; a personalized approach to care, using the treatable traits concept based on clinical phenotypes. Position paper of the Czech pneumological and phthisiological society. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2020;164(4):325–356. doi:10.5507/bp.2020.056
  • Miravitlles M, Vogelmeier C, Roche N, et al. A review of national guidelines for management of COPD in Europe. Eur Respir J. 2016;47(2):625–637. doi:10.1183/13993003.01170-2015
  • Miravitlles M, Soler-Cataluña JJ, Calle M, et al.; Spanish Society of Pulmonology and Thoracic Surgery. Spanish COPD Guidelines (GesEPOC): pharmacological treatment of stable COPD. spanish society of pulmonology and thoracic surgery. Arch Bronconeumol. 2012;48(7):247–257. doi:10.1016/j.arbres.2012.04.001
  • Zatloukal J, Volakova E, Koblizek V, et al. Phenotype-based therapy of COPD: effect on the rate of COPD exacerbations. Eur Respir J. 2018;52(suppl 62):PA3860.
  • Vukoja M, Kopitovic I, Lazic Z, et al. Diagnosis and management of chronic obstructive pulmonary disease in Serbia: an expert group position statement. Int J Chron Obstruct Pulmon Dis. 2019;14:1993–2002. doi:10.2147/COPD.S214690
  • Zykov KA, Ovcharenko SI. Approaches to drug therapy for COPD in Russia: a proposed therapeutic algorithm. Int J Chron Obstruct Pulmon Dis. 2017;12:1125–1133. doi:10.2147/COPD.S125594
  • Golpe R, Suárez-Valor M, Martín-Robles I, et al. Mortality in COPD patients according to clinical phenotypes. Int J Chron Obstruct Pulmon Dis. 2018;13:1433–1439. doi:10.2147/COPD.S159834
  • Novotna B, Koblizek V, Zatloukal J, et al. Czech multicenter research database of severe COPD. Int J Chron Obstruct Pulmon Dis. 2014;9:1265–1274. doi:10.2147/COPD.S71828
  • Rabe KF, Hurd S, Anzueto A, et al. Global Initiative for chronic obstructive lung disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007;176(6):532–555. doi:10.1164/rccm.200703-456SO
  • Vogelmeier CF, Criner GJ, Martinez FJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 Report. GOLD executive summary. Am J Respir Crit Care Med. 2017;195(5):557–582. doi:10.1164/rccm.201701-0218PP
  • Singh D, Agusti A, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease: the GOLD science committee report 2019. Eur Respir J. 2019;53(5):1900164. doi:10.1183/13993003.00164-2019
  • Vestbo J, Hurd SS, Agustí AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187(4):347–365. doi:10.1164/rccm.201204-0596PP
  • Hernández Vázquez J, Ali García I, Jiménez-García R, et al. COPD phenotypes: differences in survival. Int J Chron Obstruct Pulmon Dis. 2018;13:2245–2251. doi:10.2147/COPD.S166163
  • Calle Rubio M, Casamor R, Miravitlles M. Identification and distribution of COPD phenotypes in clinical practice according to Spanish COPD guidelines: the FENEPOC study. Int J Chron Obstruct Pulmon Dis. 2017;12:2373–2383. doi:10.2147/COPD.S137872
  • Cabrera López C, Casanova Macario C, Marín Trigo JM, et al. Comparison of the 2017 and 2015 global initiative for chronic obstructive lung disease reports. Impact on grouping and outcomes. Am J Respir Crit Care Med. 2018;197(4):463–469. doi:10.1164/rccm.201707-1363OC
  • Brat K, Plutinsky M, Koblizek V, et al. Cluster phenotyping as an approach to identify COPD patients at risk of poor prognosis. Eur Respir J. 2018;52(suppl 62):PA3853.
  • Young KA, Regan EA, Han MK, et al. COPDGene® Investigators. Subtypes of COPD have unique distributions and differential risk of mortality. Chronic Obstr Pulm Dis. 2019;6(5):400–413. doi:10.15326/jcopdf.6.5.2019.0150
  • Sarkar M, Niranjan N, Banyal PK. Mechanisms of hypoxemia. Lung India. 2017;34(1):47–60. doi:10.4103/0970-2113.197116
  • Schols AM, Slangen J, Volovics L, Wouters EF. Weight loss is a reversible factor in the prognosis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 1998;157(6 Pt 1):1791–1797. doi:10.1164/ajrccm.157.6.9705017
  • Landbo C, Prescott E, Lange P, Vestbo J, Almdal TP. Prognostic value of nutritional status in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 1999;160(6):1856–1861. doi:10.1164/ajrccm.160.6.9902115
  • McDonald MN, Wouters EFM, Rutten E, et al. It’s more than low BMI: prevalence of cachexia and associated mortality in COPD. Respir Res. 2019;20(1):100. doi:10.1186/s12931-019-1073-3
  • Celli BR, Cote CG, Marin JM, et al. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med. 2004;350(10):1005–1012. doi:10.1056/NEJMoa021322
  • Suissa S, Dell’Aniello S, Ernst P. Long-term natural history of chronic obstructive pulmonary disease: severe exacerbations and mortality. Thorax. 2012;67(11):957–963. doi:10.1136/thoraxjnl-2011-201518
  • Hillas G, Perlikos F, Tzanakis N. Acute exacerbation of COPD: is it the “stroke of the lungs”? Int J Chron Obstruct Pulmon Dis. 2016;11:1579–1586. doi:10.2147/COPD.S106160
  • Franssen FM, Alter P, Bar N, et al. Personalized medicine for patients with COPD: where are we? Int J Chron Obstruct Pulmon Dis. 2019;14:1465–1484. doi:10.2147/COPD.S175706
  • Pikoula M, Quint JK, Nissen F, Hemingway H, Smeeth L, Denaxas S. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Med Inform Decis Mak. 2019;19(1):86. doi:10.1186/s12911-019-0805-0
  • Burgel PR, Paillasseur JL, Janssens W, et al. Initiatives BPCO, EABPCO, Leuven and 3CIA study groups. A simple algorithm for the identification of clinical COPD phenotypes. Eur Respir J. 2017;50(5):1701034. doi:10.1183/13993003.01034-2017
  • Aramburu A, Arostegui I, Moraza J, et al. COPD classification models and mortality prediction capacity. Int J Chron Obstruct Pulmon Dis. 2019;14:605–613. doi:10.2147/COPD.S184695
  • Brat K, Svoboda M, Hejduk K, et al. Introducing a new prognostic instrument for long-term mortality prediction in COPD patients: the CADOT index. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2020. doi:10.5507/bp.2020.035