Browsing by Author "Gelincik, AA"

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    Socioeconomic status has direct impact on asthma control: Turkish adult asthma registry
    Arslan, B; Türk, M; Hayme, S; Aydin,Ö; Gokmen, D; Buhari, GK; Sozener, ZC; Gemicioglu, B; Bulut, I; Beyaz, S; Orcen, C; Ozdemir, SK; Keren, M; Damadoglu, E; Yakut, T; Kalpaklioglu, AF; Baccioglu, A; Yalim, SA; Yilmaz, I; Kalkan, IK; Niksarlioglu, EYO; Kalyoncu, AF; Karakaya, G; Erbay, M; Nayci, S; Tepetam, FM; Gelincik, AA; Dirol, H; Goksel, O; Karaoglanoglu, S; Erkekol, FO; Isik, SR; Yildiz, F; Yavuz, Y; Karadogan, D; Bozkurt, N; Seker, U; Oguzulgen, IK; Basyigit, I; Baris, SA; Ucar, EY; Erdogan, T; Polatli, M; Ediger, D; Gunaydin, FE; Pur, L; Katran, ZY; Sekibag, Y; Aykac, EF; Mungan, D; Gul, O; Cengiz, A; Akkurt, B; Ozden, S; Demir, S; Unal, D; Aslan, AF; Can, A; Gumusburun, R; Bogatekin, G; Akten, HS; Inan, S; Erdinc, M; Ogus, AC; Kavas, M; Yulug, DP; Cakmak, ME; Kaya, SB; Alpagat, G; Ozgur, ES; Uzun, O; Gulen, ST; Pekbak, G; Kizilirmak, D; Havlucu, Y; Donmez, H; Cetin, GP; Soyyigit, S; Kara, BY; Karakis, GP; Dursun, AB; Kendirlinan, R; Ozturk, AB; Sevinc, C; Simsek, GO; Abadoglu, O; Cerci, P; Yucel, T; Yorulmaz, I; Tezcaner, ZC; Tatar, EC; Suslu, AE; Ozer, S; Dursun, E; Yorgancioglu, A; Celik, GE; Uysal, MA
    BackgroundAsthma is one of the most common causes of chronic respiratory disease, and countries with low socioeconomic status have both a high prevalence of asthma and asthma-related death.ObjectiveIn this study, we aimed to determine socioeconomic levels of asthmatic patients according to a national database and investigate the effects of social markers on disease control in our region.MethodsThis is an analysis of data from 2053 adult asthma patients from a multicentre chart study in Turkey. Socioeconomic status (SES) data were collected from questionnaires and this form was sent to the patients via e-mail. Parameters related to social status and poor disease control were analyzed.ResultsIlliteracy (OR:2.687 [95% CI: 1.235-5.848]; p = 0.013) and lower household income (OR:1,76 [95% CI: 1.002-3.09]; p = 0.049) were found as independent risk factors for hospitalization in the multivariate logistic regression analysis. Therewithal, being aged between 40 and 60 (OR: 1.435 [95% CI: 1.074-1.917]; p = 0.015), illiteracy (OR: 2.188 [95% CI: 1.262-3.795]; p = 0.005) and being employed (OR: 1.466 [95% CI: 1.085-1.847]; p = 0.011) were considered as independent risk factors for systemic corticosteroid use at least 3 days within last 1 year.ConclusionAs a result of our national database, education level, household income and working status briefly socioeconomic status have impacts on asthma control. Identification of social markers in asthma and better recognition of risk factors based on the population gives us clues to provide better asthma control in the future.
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    Picturing asthma in Turkey: results from the Turkish adult asthma registry
    Celik, GE; Aydin, O; Gokmen, D; Buhari, GK; Sozener, ZC; Gemicioglu, B; Bulut, I; Beyaz, S; Orcen, C; Ozdemir, SK; Keren, M; Damadoglu, E; Yakut, T; Kalpaklioglu, AF; Baccioglu, A; Yalim, SA; Yilmaz, I; Kalkan, IK; Uysal, MA; Niksarlioglu, EY; Kalyoncu, AF; Karakaya, G; Erbay, M; Nayci, S; Tepetam, FM; Gelincik, AA; Dirol, H; Goksel, O; Karaoglanoglu, S; Erkekol, FO; Isik, SR; Yildiz, F; Yavuz, Y; Karadogan, D; Bozkurt, N; Seker, U; Oguzulgen, IK; Basyigit, I; Baris, SA; Ucar, EY; Erdogan, T; Polatli, M; Ediger, D; Gunaydin, FE; Turk, M; Pur, L; Katran, ZY; Sekibag, Y; Aykac, EF; Mungan, D; Gul, O; Cengiz, A; Akkurt, B; Ozden, S; Demir, S; Unal, D; Aslan, AF; Can, A; Gumusburun, R; Bogatekin, G; Akten, HS; Inan, S; Erdinc, M; Ogus, AC; Kavas, M; Yulug, DP; Cakmak, ME; Kaya, SB; Alpagat, G; Ozgur, ES; Uzun, O; Gulen, ST; Pekbak, G; Kizilirmak, D; Havlucu, Y; Donmez, H; Arslan, B; Cetin, GP; Soyyigit, S; Kara, BY; Karakis, GP; Dursun, AB; Kendirlinan, R; Ozturk, AB; Sevinc, C; Simsek, GO; Abadoglu, O; Cerci, P; Yucel, T; Yorulmaz, I; Tezcaner, ZC; Tatar, EC; Suslu, AE; Ozer, S; Dursun, E; Yorgancioglu, A
    IntroductionNational data on asthma characteristics and the factors associated with uncontrolled asthma seem to be necessary for every country. For this purpose, we developed the Turkish Adult Asthma Registry for patients with asthma aiming to take a snapshot of our patients, thereby assigning the unmet needs and niche areas of intervention.MethodsCase entries were performed between March 2018 and March 2022. A web-based application was used to record data. Study outcomes were demographic features, disease characteristics, asthma control levels, and phenotypes.ResultsThe registry included 2053 patients from 36 study centers in Turkey. Female subjects dominated the group (n = 1535, 74.8%). The majority of the patients had allergic (n = 1158, 65.3%) and eosinophilic (n = 1174, 57.2%) asthma. Six hundred nineteen (32.2%) of the patients had obese asthma. Severe asthma existed in 670 (32.6%) patients. Majority of cases were on step 3-5 treatment (n: 1525; 88.1%). Uncontrolled asthma was associated with low educational level, severe asthma attacks in the last year, low FEV1, existence of chronic rhinosinusitis and living in particular regions.ConclusionThe picture of this registry showed a dominancy of middle-aged obese women with moderate-to-severe asthma. We also determined particular strategic targets such as low educational level, severe asthma attacks, low FEV1, and chronic rhinosinusitis to decrease uncontrolled asthma in our country. Moreover, some regional strategies may also be needed as uncontrolled asthma is higher in certain regions. We believe that these data will guide authorities to reestablish national asthma programs to improve asthma service delivery.
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    Trends in prescribing montelukast in patients with asthma in real-life: Results from the Turkish adult asthma registry
    Beyaz, S; Erdinç, M; Hayme, S; Aslan, AF; Aydin,Ö; Gökmen, D; Buhari, GK; Sözener, ZC; Gemicioglu, B; Bulut, I; Örçen, C; Özdemir, SK; Keren, M; Damadoglu, E; Yakut, T; Kalpaklioglu, AF; Baccioglu, A; Yalim, SA; Yilmaz, I; Kalkan, IK; Uysal, MA; Niksarlioglu, EYÖ; Kalyoncu, AF; Karakaya, G; Erbay, M; Nayci, S; Tepetam, FM; Gelincik, AA; Dirol, H; Göksel,Ö; Karaoglanoglu, S; Erkekol, FÖ; Isik, SR; Yildiz, F; Yavuz, Y; Karadogan, D; Bozkurt, N; Seker,Ü; Oguzülgen, IK; Basyigit, I; Baris, SA; Uçar, EY; Erdogan, T; Polatli, M; Ediger, D; Günaydin, FE; Türk, M; Pür, L; Katran, ZY; Sekibag, Y; Aykaç, EF; Mungan, D; Gül,Ö; Cengiz, A; Akkurt, B; Özden, S; Demir, S; Ünal, D; Can, A; Guemuesburun, R; Bogatekin, G; Akten, HS; Inan, S; Ögüs, AC; Kavas, M; Yulug, DP; Çakmak, ME; Kaya, SB; Alpagat, G; Özgür, ES; Uzun, O; Gülen, ST; Pekbak, G; Kizilirmak, D; Havlucu, Y; Doenmez, H; Arslan, B; Çetin, GP; Soyyigit, S; Kara, BY; Karakis, GP; Dursun, AB; Kendirlinan, R; Öztürk, AB; Sevinç, C; Simsek, GÖ; Abadoglu,Ö; Çerçi, P; Yücel, T; Yorulmaz, I; Tezcaner, ZÇ; Tatar, EÇ; Süslü, AE; Özer, S; Dursun, E; Yorgancioglu, A; Çelik, GE
    Montelukast, a leukotriene receptor antagonist (LTRA) approved for the treatment of asthma and allergic rhinitis, is widely used, though real-world data on its application in asthma management remain limited. This registry-based study evaluated the use of montelukast in adult asthma patients, examining demographic and disease characteristics, asthma control status, asthma phenotypes, presence of atopy, and treatment regimens. Among 2053 patients analyzed, 61.76% (n = 1268; mean age: 46.2 +/- 14.3 years), predominantly females (similar to 76%), received montelukast. Montelukast users showed higher rates of allergic rhinitis (P < 0.001), hypersensitivity to nonsteroidal anti-inflammatory drugs (NSAIDs) (P = 0.008), and chronic rhinosinusitis (P = 0.008). Montelukast group also had higher atopy and total IgE levels and tended to be more eosinophilic. Montelukast was commonly preferred in allergic, eosinophilic, NSAID-exacerbated respiratory disease, and severe asthma phenotypes (P < 0.001). Patients receiving Steps 4 and 5 treatments are more likely to be prescribed montelukast (P < 0.001). Montelukast usage was higher among patients with uncontrolled asthma [ACT< 20 (OR:1.29, 95%CI:1.052-1.582, P = 0.014)]. In addition, logistic regression analyses identified the main factors associated with increased montelukast use as; female gender (OR:1.33, 95%CI:1.041-1.713, P = 0.02), presence of atopy (OR:1.46, 95%CI:1.157-1.864, P = 0.002), comorbid allergic rhinitis (OR:2.12, 95%CI:1.679-2.293, P < 0.001), and severe asthma (OR:2.18, 95%CI:1.712-2.784, P < 0.001). These findings reveal that montelukast use is prevalent among asthma patients, particularly in females, middle-aged adults, and those with comorbid allergic rhinitis, uncontrolled asthma, or specific asthma phenotypes, underscoring the factors that influence its prescription in asthma management. (c) 2025 Codon Publications. Published by Codon Publications.