122
Views
1
CrossRef citations to date
0
Altmetric
Original Research

Different Clusters in Patients with Chronic Obstructive Pulmonary Disease (COPD): A Two-Center Study in Brazil

, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , , ORCID Icon, , , ORCID Icon, & ORCID Icon show all
Pages 2847-2856 | Published online: 06 Nov 2020

References

  • VogelmeierCF, CrinerGJ, MartinezFJ, 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.201701-0218PP28128970
  • AgustiA, EdwardsLD, RennardSI, et al. Persistent systemic inflammation is associated with poor clinical in COPD: a novel phenotype. PLoS One. 2012;7(5):e37483. doi:10.1371/journal.pone.003748322624038
  • AksuF, CapanN, AksuK, et al. C-reactive protein levels are raised in stable Chronic obstrutive pulmonar disease patients independent of smoking behavior and biomass exposure. J Thorac Dis. 2013;5(4):414–421.23991296
  • BurgelP-R, PaillasseurJ-L, JanssensW, et al. A simple algorithm for the identificationof clinical COPD phenotypes. Eur Respir J. 2017;50:1701034.29097431
  • AgustiA, CalverleyPM, CelliB, et al. Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res. 2010;11:122. doi:10.1186/1465-9921-11-12220831787
  • ChubachiS, SatoM, KameyamaN, et al. Identification of five clusters of comorbidities in a longitudinal Japanese chronic obstructive pulmonary disease cohort. Respir Med. 2016;117:272–279. doi:10.1016/j.rmed.2016.07.00227492541
  • LaforestL, RocheN, DevouassouxG, et al. Frequency of comorbidities in chronic obstructive pulmonary disease. And impact on all-cause mortality: a population-based cohort study. Respir Med. 2016;117:33–39. doi:10.1016/j.rmed.2016.05.01927492511
  • Garcia-AymerichJ, GomezFP, BenetM, et al. Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax66. 2011;66(5):430–437. doi:10.1136/thx.2010.154484
  • BurgelP-R, PaillasseurJ-L, PeeneB, et al. Two distinct Chronic Obstructive Pulmonary Disease (COPD) phenotypes are associated with high risk of mortality. PLoS One. 2012;7(12):e51048. doi:10.1371/journal.pone.005104823236428
  • VanfleterenLE, SpruitMA, GroenenM, et al. Clusters of comorbidities based on validated objective measurements and systemic inflammation in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;187(7):728–735. doi:10.1164/rccm.201209-1665OC23392440
  • BurgelPR, PaillasseurJL, RocheN. Identification of clinical phenotypes using cluster analyses in COPD patients with multiple comorbidities. Biomed Res Int. 2014;2014:420134. doi:10.1155/2014/42013424683548
  • RennardSI, LocantoreN, DelafontB, et al. Identification of Five chronic obstructive pulmonary disease subgroups with different prognoses in the ECLIPSE cohort using cluster analysis. Ann Am Thorac Soc. 2015;12(3):303–312. doi:10.1513/AnnalsATS.201403-125OC25642832
  • KimS, LimMN, HongY, et al. A cluster analysis of chronic obstructive pulmonary disease in dusty areas cohort identified three subgroups. BMC Pulm Med. 2017;17:209. doi:10.1186/s12890-017-0553-929246211
  • de TorresJP, MarinJM, Martinez-GonzalezC, et al. The importance of symptoms in the longitudinal variability of clusters in COPD patients: a validation study. Respirology. 2017.
  • PintoLM, AlghamdiM, BenedettiA, ZaihraT, LandryT, BourbeauJ. Derivation and validation of clinical phenotypes for COPD: a systematic review. Respiratory. 2015;16:50.
  • PikoulaM, QuintJK, NissenF, et al. Identifying clinically important COPD subtypes using data-driven approaches in primary care population based electronic health records. BMC Med Inform Decis Mak. 2019;19:86. doi:10.1186/s12911-019-0805-030999919
  • StockleyRA. Biomarkers in chronic obstructive pulmonary disease: confusing or useful?. Int J Chron Obstr Pulm Dis. 2014;9:163–177. doi:10.2147/COPD.S42362
  • FanerR, Tal-SingerR, RileyJH, et al. Lessons from ECLIPSE: a review of COPD biomarkers. Thorax. 2014;69:666–672. doi:10.1136/thoraxjnl-2013-20477824310110
  • BarnesNC, SharmaR, LettisS, et al. Blood eosinophils as a marker of response to inhaled corticosteroids in COPD. Eur Respir J. 2016;47:1299–1303. doi:10.1183/13993003.01370-201527132257
  • DiSantostefanoRL, HindsD, Van LeH, BarnesNC. Relationship between blood eosinophils and clinical characteristics in a cross-sectional study of a US populationbased COPD cohort. Respir Med. 2016;112:88–96. doi:10.1016/j.rmed.2016.01.01326872700
  • SchumannDM, TammM, KostikasK, StolzD. Stability of the blood eosinophilic phenotype in stable and exacerbated COPD. Chest. 2019;pii: S0012-3692(19)30878–5.
  • CastaldiPJ, DyJ, RossJ, et al. Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema. Thorax. 2014;69:415–422. doi:10.1136/thoraxjnl-2013-20360124563194
  • GuillametRV, UrsuO, IwamotoG, et al. Chronic obstructive pulmonar disease phenotypes using cluster analysis of electronic medical records. Health Informatics J. 2016;1–16.
  • CrapoRO, EnrightPL, ZeballosRJ. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002;166:111–117.12091180
  • GOLD. Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for the Diagnosis, Management and Prevention of COPD; 2017.
  • Sociedade Brasileira de Pneumologia e Tisiologia (SBPT). II Consenso brasileiro sobre doença pulmonar obstrutiva crônica. J Pneumol. 2004;30(5):S1–S42.
  • SchunemannHJ, GriffithL, JaeschkeR, GoldsteinR, StubbingD, GuyattGH. Evaluation of the minimal important difference for the feeling thermo meter and the St. George’s Respiratory Questionnaire in patients with chronic airflow obstruction. J Clin Epidemiol. 2003;56(12):1170–1176. doi:10.1016/S0895-4356(03)00115-X14680667
  • JonesPW, HardingG, BerryP, WiklundI, ChenWH, Kline LeidyN. Development and first validation of the COPD assessment test. Eur Respir J. 2009;34(3):648–654. doi:10.1183/09031936.0010250919720809
  • MarcolinoJAM, SuzukiFM, AlliLAC, GozzaniJL, MathiasLAST. Medida da Ansiedade e da Depressão em Pacientes no Pré-Operatório. Estudo Comparativo. Rev Bras Anestesiol. 2007;57(2):157–166. doi:10.1590/S0034-7094200700020000419466349
  • ZigmondAS, SnaithRP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–370. doi:10.1111/j.1600-0447.1983.tb09716.x6880820
  • MahlerDA, WeinbergDH, WellsCK, FeinsteinAR. The measurement of dyspnea. Contents, interobserver agreement, and physiologic correlates of two new clinical indexes. Chest. 1984;85(6):751–758. doi:10.1378/chest.85.6.7516723384
  • CelliBR, CoteCG, MarinJM, et al. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med. 2004;350:1005–1012. doi:10.1056/NEJMoa02132214999112
  • Diretrizes da Sociedade Brasileira de Diabetes 2017–2018/Organização José Egídio Paulo de Oliveira, Renan Magalhães Montenegro Junior, Sérgio Vencio. São Paulo: Editora Clannad; 2017.
  • FaludiAA, IzarMCO, SaraivaJFK, et al. Atualização da diretriz brasileira de dislipidemias e prevenção da aterosclerose – 2017. Arq Bras Cardiol. 2017;109:1. doi:10.5935/abc.20170121
  • MagnussenH, DisseB, Rodriguez-RoisinR, et al.; WISDOM Investigators. Withdrawal of inhaled glucocorticoids and exacerbations of COPD. New Engl J Med. 2014;371(14):1285–1294. doi:10.1056/NEJMoa1407154.25196117
  • RocheN, VogelmeierCF, HerthFJ, et al. Blood eosinophils and response to maintenance COPD treatment: data from the FLAME trial. Am J Respir Crit Care Med. 2017;195:1189–1197. doi:10.1164/rccm.201701-0193OC28278391
  • SaettaM, Di StefanoA, MaestrelliP, et al. Airway eosinophilia in chronic bronchitis during exacerbations. Am J Respir Crit Care Med. 1994;150:1646–1652. doi:10.1164/ajrccm.150.6.79526287952628
  • RavinKA, LoyM. The eosinophil in infection. Clin Rev Allergy Immunol. 2016;50:214–227. doi:10.1007/s12016-015-8525-426690368
  • LiaoW, LongH, ChangCC, LuQ. The eosinophil in health and disease: from bench to bedside and back. Clin Rev Allergy Immunol. 2016;50:125–139. doi:10.1007/s12016-015-8507-626410377
  • SuissaS, Dell’AnielloS, ErnstP. Comparative e_ectiveness and safety of LABA-LAMA vs LABA-ICStreatment of COPD in real-world clinical practice. Chest. 2019;155:1158–1165. doi:10.1016/j.chest.2019.03.00530922950
  • WedzichaJA. Eosinophils as biomarkers of chronic obstructive pulmonary disease exacerbation risk. Maybe just for some? Am J Respir Crit Care Med. 2016;193:937–938. doi:10.1164/rccm.201601-0015ED27128699
  • JúniorMGH, CardosoWM, WeisSMS, et al. Intestinal parasitism among waste pickers in Mato Grosso do Sul, Midwest Brazil. Rev Inst Med Trop São Paulo. 2017;59:e87.29267595
  • TuratoG, SemenzatoU, BazzanE, et al. Blood eosinophilia neither reflects tissue eosinophils nor worsens clinical outcomes in chronicobstructive pulmonary disease. Am J Respir Crit Care Med. 2018;197:1216–1219. doi:10.1164/rccm.201708-1684LE29035097
  • TinèT, BiondiniB, SemenzatoS, et al. Reassessing the role of eosinophils as a biomarker in chronic obstructive pulmonary disease.J Clin Med. 2019;8(7):962. doi:10.3390/jcm8070962
  • PapiA, BellettatoCM, BraccioniF, et al. Infections and airway inflammation in chronic obstructive pulmonary disease severe exacerbations. Am J Respir Crit Care Med. 2006;173:1114–1121. doi:10.1164/rccm.200506-859OC16484677
  • de Oliveira CaramLM, FerrariR, NavesCR, et al. Risk factors for cardiovascular disease in patients with COPD: mild-to-moderate COPD versus severe-to-very severe COPD. J Bras Pneumol. 2016;42(3):179–184. doi:10.1590/S1806-3756201500000012127383930
  • LeongP, MacdonaldMI, KoBS, BardinPG. Coexisting chronic obstructive pulmonary disease and cardiovascular disease in clinical practice: a diagnostic and therapeutic challenge. Med J Aust. 2019;210(9):417–423. doi:10.5694/mja2.5012030907000
  • Merry-LynnN, McDonaldEF, WoutersM, et al. It’s more than low BMI: prevalence of cachexia and associated mortality in COPD. Respir Res. 2019;20:100. doi:10.1186/s12931-019-1073-331118043
  • BhattSP, SolerX, WangX, 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. doi:10.1164/rccm.201511-2219OC26808615
  • MesquitaR, SpinaG, PittaF, et al. Physical activity patterns and clusters in 1001 patients with COPD. Chron Respir Dis. 2016.
  • McNicholasWT. Chronic obstructive pulmonary disease and obstructive sleep apnoea: the overlap syndrome. J Thorac Dis. 2016;8(2):236–242.26904264
  • GaoJ, IwamotoH, KoskelaJ, et al. Characterization of sputum biomarkers for asthma-COPD overlap syndrome. Int J Chron Obstruct Pulmon Dis. 2016;11:2457–2465. doi:10.2147/COPD.S11348427757028
  • Paplinska-GorycaM, Nejman-GryzP, GorskaK, Bialek-GoskK, Hermanowicz-SalamonJ, KrenkeR. Expression of inflammatory mediators in induced sputum: comparative study in asthma and COPD. Adv Exp Med Biol. 2016.
  • CosioBG, SorianoJB, Lopez-CamposJL, et al. Defining the asthma-COPD overlap syndrome in a COPD cohort. Chest. 2016;149:45–52. doi:10.1378/chest.15-105526291753
  • AlshabanatA, ZafariZ, AlbanyanO, et al. Asthma and COPD overlap syndrome (ACOS): a systematic review and meta analysis. PLoS One. 2015;10:e0136065. doi:10.1371/journal.pone.013606526336076
  • Perez de LlanoL, CosioBG, MiravitllesM, et al. Accuracy of a new algorithm to identify asthmaCOPD overlap (ACO) patients in a cohort of patients with chronic obstructive airway disease. Arch Bronconeumol. 2018;54:198–204. doi:10.1016/j.arbres.2017.10.00729229474
  • KobayashiS, HanagamaM, YamandaS, IshidaM, YanaiM. Inflammatory biomarkers in asthmaCOPD overlap syndrome. Int J Chron Obstruct Pulmon Dis. 2016;11:2117–2123. doi:10.2147/COPD.S11364727660429
  • van BovenJF, Roman-RodriguezM, PalmerJF, et al. Comorbidome, pattern and impact of asthma-COPD overlap syndrome (ACOS) in real-life. Chest. 2016;149:1011–1020. doi:10.1016/j.chest.2015.12.00226836892