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dc.contributor.authorYazar, Esra Ertan
dc.contributor.authorYigitbas, Burcu Arpinar
dc.contributor.authorOzturk, Can
dc.contributor.authorCalikoglu, Mukadder
dc.contributor.authorGulbas, Gazi
dc.contributor.authorTuran, Muzaffer Onur
dc.contributor.authorSahin, Hulya
dc.date.accessioned2023-11-16T18:30:32Z
dc.date.available2023-11-16T18:30:32Z
dc.date.issued2022
dc.identifier.issn1300-0144
dc.identifier.issn1303-6165
dc.identifier.urihttps://doi.org/10.55730/1300-0144.5416
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1144741
dc.identifier.urihttps://hdl.handle.net/20.500.14065/5677
dc.description.abstractBackground/aim: While mortality rates decrease in many chronic diseases, it continues to increase in COPD. This situation has led to the need to develop new approaches such as phenotypes in the management of COPD. We aimed to investigate the distribution, characteristics and treatment preference of COPD phenotypes in Turkey. Materials and methods: The study was designed as a national, multicenter, observational and cross-sectional. A total of 1141 stable COPD patients were included in the analysis. Results: The phenotype distribution was as follows: 55.7% nonexacerbators (NON-AE), 25.6% frequent exacerbators without chronic bronchitis (AE NON-CB), 13.9% frequent exacerbators with chronic bronchitis (AE-CB), and 4.8% with asthma and COPD overlap (ACO). The FEV 1 values were significantly higher in the ACO and NON- AE than in the AE-CB and AE NON-CB (p < 0.001). The symptom scores, ADO (age, dyspnoea and FEV 1) index and the rates of exacerbations were significantly higher in the AE-CB and AE NON-CB phenotypes than in the ACO and NON-AE phenotypes (p < 0.001). Treatment preference in patients with COPD was statistically different among the phenotypes (p < 0.001). Subgroup analysis was performed in terms of emphysema, chronic bronchitis and ACO phenotypes of 1107 patients who had thoracic computed tomography. A total of 202 patients had more than one phenotypic trait, and 149 patients showed no features of a specific phenotype. Conclusion: Most of the phenotype models have tried to classify the patient into a certain phenotype so far. However, we observed that some of the patients with COPD had two or more phenotypes together. Therefore, rather than determining which phenotype the patients are classified in, searching for the phenotypic traits of each patient may enable more effective and individualized treatment.en_US
dc.language.isoengen_US
dc.publisherTubitak Scientific & Technological Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal of Medical Sciencesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAcoen_US
dc.subjectChronic Bronchitisen_US
dc.subjectCopden_US
dc.subjectEmphysemaen_US
dc.subjectPhenotypeen_US
dc.subjectClinical-Practiceen_US
dc.subjectPrevalenceen_US
dc.titleChronic obstructive pulmonary disease phenotypes in Turkey: the COPET study-a national, multicenter cross-sectional observational studyen_US
dc.typearticleen_US
dc.authoridOzturk, Ayperi/0000-0003-0692-4784
dc.authoridYılmaz Demirci, Nilgün/0000-0001-6160-3778
dc.authoridARPINAR YIGITBAS, BURCU/0000-0003-1367-5253
dc.authoridArpinar Yigitbas, Burcu/0000-0003-1367-5253
dc.departmentUfuk Üniversitesien_US
dc.identifier.doi10.55730/1300-0144.5416
dc.identifier.volume52en_US
dc.identifier.issue4en_US
dc.identifier.startpage1130en_US
dc.identifier.endpage1138en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorwosidOzturk, Ayperi/ADT-2233-2022
dc.authorwosidGunluoglu, Gulsah/ACO-5471-2022
dc.authorwosidTaci Hoca, Nevin/CAF-3581-2022
dc.authorwosidOnur, Seda Tural/ABF-7761-2020
dc.identifier.wosWOS:000881194200031en_US
dc.identifier.scopus2-s2.0-85136810485en_US
dc.identifier.trdizinid1144741en_US
dc.identifier.pmid36326395en_US


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