Person: GÖREK DİLEKTAŞLI, ASLI
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GÖREK DİLEKTAŞLI
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ASLI
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Publication Response to "Hypercapnic respiratory failure with insufficient response to fixed- level PS-NIV: Is AVAPS the end solution?"(Turkish Assoc Tuberculosis & Thorax, 2023-01-01) Öztürk, Nilüfer Aylin Acet; Güçlü, Özge Aydın; Demirdoğen, Ezgi; Dilektaşlı, Aslı Görek; Maharramov, Shahriyar; Coşkun, Funda; Uzaslan, Esra; Ursavaş, Ahmet; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; AYDIN GÜÇLÜ, ÖZGE; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; Maharramov, Shahriyar; COŞKUN, NECMİYE FUNDA; URSAVAŞ, AHMET; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-3604-8826; 0000-0002-9027-1132; Z-1424-2019; AAG-9930-2019; AAH-9812-2021; DTT-7416-2022; DDT-7334-2022; AAD-1271-2019; CDI-1977-2022; AAG-8744-2021Publication Lung cancer in Turkey(Elsevier Science Inc, 2022-10-01) Cangir, Ayten Kayi; Yumuk, Perran Fulden; Sak, Serpil Dizbay; Akyürek, Serap; Eralp, Yesim; Yılmaz, Ulku; Selek, Uğur; Eroglu, Atilla; Tatlı, Ali Murat; Dinçbaş, Fazilet Öner; Kılıçkap, Saadettin; Sendur, Mehmet Ali Nahit; Bozcuk, Hakan Sat; Özkök, Serdar; Öztop, İlhan; Topkan, Erkan; Dilege, Sükrü; Kaya, Akın; Demirkazık, Ahmet; Dilektasli, Asli Gorek; GÖREK DİLEKTAŞLI, ASLI; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.Publication Investigation of infectious droplet dispersion in a hospital examination room cooled by split-type air conditioner(Springer, 2024-05-08) Yüce, Bahadir Erman; Kalay, Onur Can; Karpat, Fatih; Alemdar, Adem; Temel, Şehime Gülsün; Dilektaşlı, Aslı Görek; Başkan, Emel Bülbül; Özakın, Cüneyt; Coşkun, Burhan; YÜCE, BAHADIR ERMAN; Kalay, Onur Can; KARPAT, FATİH; ALEMDAR, ADEM; TEMEL, ŞEHİME GÜLSÜN; GÖREK DİLEKTAŞLI, ASLI; BÜLBÜL BAŞKAN, EMEL; ÖZAKIN, CÜNEYT; COŞKUN, BURHAN; Bursa Uludağ Üniversitesi/Yenişehir İbrahim Orhan Meslek Yüksekokulu/İklimlendirme ve Soğutma Teknolojisi Bölümü.; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.; Bursa Uludağ Üniversitesi/Sağlık Bilimleri Enstitüsü.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Tıbbi Genetik Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Histoloji ve Embriyoloji Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Dermatoloji Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Enfeksiyon Hastalıkları ve Mikrobiyoloji Anabilim Dalı.; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Üroloji Anabilim Dalı.The novel coronavirus (SARS-CoV-2) outbreak has spread worldwide, and the World Health Organization (WHO) declared a global pandemic in March 2020. The transmission mechanism of SARS-CoV-2 in indoor environments has begun to be investigated in all aspects. In this regard, many numerical studies on social distancing and the protection of surgical masks against infection risk have neglected the evaporation of the particles. Meanwhile, a 1.83 m (6 feet) social distancing rule has been recommended to reduce the infection risk. However, it should be noted that most of the studies were conducted in static air conditions. Air movement in indoor environments is chaotic, and it is not easy to track all droplets in a ventilated room experimentally. Computational Fluid Dynamics (CFD) enables the tracking of all particles in a ventilated environment. This study numerically investigated the airborne transmission of infectious droplets in a hospital examination room cooled by a split-type air conditioner with the CFD method. Different inlet velocities (1, 2, 3 m/s) were considered and investigated separately. Besides, the hospital examination room is a model of one of the Bursa Uludag University Hospital examination rooms. The patient, doctor, and some furniture are modeled in the room. Particle diameters considered ranged from 2 to 2000 mu m. The evaporation of the droplets is not neglected, and the predictions of particle tracks are shown. As a result, locations with a high infection risk were identified, and the findings that could guide the design/redesign of the hospital examination rooms were evaluated.Publication Coexistence of sarcoidosis and sjogren's syndrome: A case-report(Amer, 2015-10-01) Dilektaşlı, Aslı Görek; Çetinoğlu, Ezgi Demirdoğen; Durmuş, Eda; Uzaslan, Esra; Ege, Ercüment; Karadağ, Mehmet; GÖREK DİLEKTAŞLI, ASLI; Çetinoğlu, Ezgi Demirdoğen; Durmuş, Eda; UZASLAN, AYŞE ESRA; Ege, Ercüment; KARADAĞ, MEHMET; Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; 0000-0001-7099-9647; 0000-0002-7400-9089; 0000-0002-9027-1132; AAG-8744-2021; JPK-7012-2023; DTT-7416-2022; ETU-0442-2022; CDI-1977-2022; CPF-5844-2022Publication Nutritional status in non-cystic fibrosis bronchiectasis(European Respiratory Soc Journals Ltd, 2023-09-09) Topçu, Dilara Ömer; Dilektaşlı, Aslı Görek; Uzaslan, Esra Kunt; Karadağ, Mehmet; ÖMER TOPÇU, DİLARA; GÖREK DİLEKTAŞLI, ASLI; Uzaslan, Esra Kunt; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; 0000-0001-7099-9647; 0000-0002-9027-1132; AAG-8744-2021; EAX-3214-2022; DTT-7416-2022; JXG-0828-2024Publication Development and validation of a simple risk scoring system for a COVİD-19 diagnostic prediction model(Tüberküloz ve Toraks, 2023-01-01) Güçlü, Özge Aydın; Ursavaş, Ahmet; Ocakoğlu, Gokhan; Demirdogen, Ezgi; Öztürk, Nilufer Aylin Acet; Topçu, Dilara Ömer; Terzi, Orkun Eray; Onal, Uğur; Dilektaşlı, Aslı Görek; Sağlık, İmran; Coşkun, Funda; Ediger, Dane; Uzaslan, Esra; AkalIn, Halis; Karadağ, Mehmet; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; OCAKOĞLU, GÖKHAN; DEMİRDÖĞEN, EZGİ; ACET ÖZTÜRK, NİLÜFER AYLİN; ÖMER TOPÇU, DİLARA; TERZİ, ORKUN ERAY; ÖNAL, UĞUR; GÖREK DİLEKTAŞLI, ASLI; SAĞLIK, İMRAN; COŞKUN, NECMİYE FUNDA; EDİGER, DANE; UZASLAN, AYŞE ESRA; AkalIn, Halis; KARADAĞ, MEHMET; Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı; Uludağ Üniversitesi/Tıp Fakültesi/Enfeksiyon Hastalıkları ve Klinik Mikrobiyoloji Anabilim Dalı; 0000-0003-1005-3205; 0000-0002-1114-6051; 0000-0002-7400-9089; 0000-0002-6375-1472; 0000-0001-7099-9647; 0000-0002-2954-4293; 0000-0001-7530-1279; 0000-0002-9027-1132; AAH-5180-2021; A-4970-2019; AAG-8744-2021; AAI-3169-2021; JCO-3678-2023; JPK-7012-2023Introduction: In a resource-constrained situation, a clinical risk stratification system can assist in identifying individuals who are at higher risk and should be tested for COVID-19. This study aims to find a predictive scoring model to estimate the COVID-19 diagnosis.Materials and Methods: Patients who applied to the emergency pandemic clinic between April 2020 and March 2021 were enrolled in this retrospective study. At admission, demographic characteristics, symptoms, comorbid diseases, chest computed tomography (CT), and laboratory findings were all recorded. Development and validation datasets were created. The scoring system was performed using the coefficients of the odds ratios obtained from the multivariable logistic regression analysis.Results: Among 1187 patients admitted to the hospital, the median age was 58 years old (22-96), and 52.7% were male. In a multivariable analysis, typical radiological findings (OR= 8.47, CI= 5.48-13.10, p< 0.001) and dyspnea (OR= 2.85, CI= 1.71-4.74, p< 0.001) were found to be the two important risk factors for COVID-19 diagnosis, followed by myalgia (OR= 1.80, CI= 1.082.99, p= 0.023), cough (OR= 1.65, CI= 1.16-2.26, p= 0.006) and fatigue symptoms (OR= 1.57, CI= 1.06-2.30, p= 0.023). In our scoring system, dyspnea was scored as 2 points, cough as 1 point, fatigue as 1 point, myalgia as 1 point, and typical radiological findings were scored as 5 points. This scoring system had a sensitivity of 71% and a specificity of 76.3% for a cut-off value of >2, with a total score of 10 (p< 0.001).Conclusion: The predictive scoring system could accurately predict the diagnosis of COVID-19 infection, which gave clinicians a theoretical basis for devising immediate treatment options. An evaluation of the predictivePublication The relationship between serum periostin levels, 6-minute walking test and quality of life in patients with idiopathic pulmonary fibrosis(Carbone Editore, 2019-01-01) Eken, Özge Aslantekin; ASLANTEKİN EKEN, ÖZGE; Coşkun, Funda; COŞKUN, NECMİYE FUNDA; Demirdöğen, Ezgi; DEMİRDÖĞEN, EZGİ; Dilektaşlı, Aslı Görek; GÖREK DİLEKTAŞLI, ASLI; Ursavaş, Ahmet; URSAVAŞ, AHMET; Budak, Ferah; BUDAK, FERAH; Karadağ, Mehmet; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/İmmunoloji Anabilim Dalı.; 0000-0003-3604-8826; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0001-7625-9148; 0000-0002-9027-1132; AAG-8744-2021; AAI-3169-2021; JPK-7012-2023; AAD-1271-2019; IZP-9398-2023; F-4657-2014; AAH-9812-2021Introduction: Interstitial lung disease (ILD) is a group of chronic respiratory diseases characterized by inflammation and fi-brosis in different patterns at the interstitium, which is the most common form of idiopathic pulmonary fibrosis (IPF). Considering the prevalence, incidence, and outcomes of IPF, it is important to ensure the availability and validity of biomarkers that can be used in determining the diagnosis and prognosis. In this study, we aimed to assess the relationship between serum periostin levels, pulmonary function tests, 6-minute walking test (6MWT) and quality of life in IPF patients.Material and methods: Our study was carried out with 40 IPF patients who were followed at Uludag University, Faculty of Medicine, Department of Pulmonary Medicine. Spirometer and carbon monoxide diffusion test (DLCO) for respiratory functions, 6MWT and periostin level measurement were performed on the patients, and results were recorded.Results: A total of 31 of patients were males and nine were females. The diagnosis of IPF was made according to the guidelines of ATS / ERS / JRS / ALAT with 25 (62.5%) patients by radiologically and 15 (37.5%) patients with histopathological and radiological features. The mean periostin level was 32.9 +/- 37.57 ng/ml. No significant correlation was found between St. George's Respiratory Questionnaire (SGRQ) score, FVC% predicted, DLCO adj% predicted values, 6MWT distance and periostin level which were measured simultaneously. A negative correlation was found between SGRQ score and DLCO adj% predicted value, 6MWT distance.Conclusion: It has been shown that there is no correlation between periostin levels and the results of the pulmonary function tests, when measured and performed at the same time. No studies are evaluating the relationship between 6MWT and SGRQ scores and periostin levels. In our study, serum periostin level, pulmonary function test results, 6MWT and SGRQ scores were not significantly correlated.Publication Improvements in functional exercise performance at six months following bariatric surgery, a prospective cohort study(Amer, 2018-01-01) Dilektaşlı, Aslı Görek; Dilektasli, E.; Coşkun, Funda; Karadağ, Mehmet; GÖREK DİLEKTAŞLI, ASLI; COŞKUN, NECMİYE FUNDA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi; 0000-0003-3604-8826; 0000-0002-9027-1132; AAD-1271-2019; AAG-8744-2021; DTT-7416-2022Publication AVAPS-NIV treatment in hypercapnic respiratory failure with insufficient response to fixed-level PS-NIV(Türk Tüberküloz ve Toraks, 2022-01-01) Öztürk, Nilüfer Aylın Acet; Güçlü, Özge Aydın; Demirdöğen, Ezgi; Dilektaşlı, Asli Görek; Maharramov, Shahriyar; Coşkun, Funda; Uzaslan, Esra; Ursavaş, Ahmet; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; AYDIN GÜÇLÜ, ÖZGE; DEMİRDÖĞEN, EZGİ; GÖREK DİLEKTAŞLI, ASLI; Maharramov, Shahriyar; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; URSAVAŞ, AHMET; KARADAĞ, MEHMET; Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0001-7099-9647; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; AAD-1271-2019; AAG-8744-2021; JPK-7012-2023; DTT-7416-2022; DDT-7334-2022Introduction: Noninvasive ventilation (NIV) for acute hypercapnic respiratory failure (AHRF) is an established treatment modality. Current evidence does not conclude any superiority between fixed pressure support (PS) and aver-age volume-assured pressure support (AVAPS) modes. However, given the ability of rapid PaCO2 decline in AVAPS mode, we hypothesized that COPD patients with AHRF who did not show the desired reduction in PaCO2 with fixed-level PS-NIV might benefit from the AVAPS mode.Materials and Methods: Patients admitted to the non-ICU pulmonary ward with acute exacerbation of COPD (AECOPD) and AHRF were included con-secutively in this observational study. Patients with hypercapnic respiratory failure due to obesity-hypoventilation, neurological diseases, or chest wall deformities were excluded. All patients started NIV treatment with fixed pres-sure support (PS) and patients who did not reach clinical and laboratory stability under PS-NIV treatment were switched to the average volume -as-sured pressure support (AVAPS) mode of NIV.Results: Thirty-five COPD patients with hypercapnic respiratory failure were included. Under PS-NIV treatment, 14 (40%) patients showed a 17.9 (-0.0-29.2) percent change in terms of PaCO2 , meaning no improvement or worsening. Therefore, these patients were treated with AVAPS mode. Arterial PaCO2 and pH levels significantly improved after AVAPS-NIV administration. AVAPS-NIV treatment created a significantly better PaCO2 change rate than using PS-NIV (-11.4 (-22.0 --0.5)vs 8.2 (-5.3-19.5), p= 0.02]. Independent predictors of AVAPS mode requirement were higher Charlson Comorbidity Index (OR= 1.74 (95% CI= 1.02-2.97)] and higher PaCO2 upon admission (OR= 1.18 (95% CI= 1.03-1.35)]. Thirteen (92.8%) patients reaching signif-icant clinical stability with AVAPS-NIV were able to return to fixed-level PS-NIV and maintain acceptable PaCO2 levels.Conclusion: Our study demonstrated that patients can benefit from AVAPS-NIV despite insufficient response to fixed-level PS-NIV.Publication Frailty: An indicator for poor outcomes among in-hospital pulmonology patients(European Respiratory Soc Journals, 2021-09-05) Öztürk, Nilüfer Aylin Acet; Dilektaşlı, Aslı Görek; Güçlü, Özge Aydın; Ursavaş, Ahmet; Demirdoğen, Ezgi; Coşkun, Funda; Uzaslan, Esra; Karadağ, Mehmet; ACET ÖZTÜRK, NİLÜFER AYLİN; GÖREK DİLEKTAŞLI, ASLI; AYDIN GÜÇLÜ, ÖZGE; URSAVAŞ, AHMET; DEMİRDÖĞEN, EZGİ; COŞKUN, NECMİYE FUNDA; UZASLAN, AYŞE ESRA; KARADAĞ, MEHMET; Bursa Uludağ Üniversitesi/Tıp Fakültesi/Göğüs Hastalıkları Anabilim Dalı.; 0000-0002-6375-1472; 0000-0003-1005-3205; 0000-0002-7400-9089; 0000-0003-3604-8826; 0000-0002-9027-1132; AAI-3169-2021; JPK-7012-2023; AAG-8744-2021; AAD-1271-2019; Z-1424-2019; CNP-1063-2022; AAG-9930-2019; CDI-1977-2022