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Öğe Çevre epidemiyolojisinde hastalıkların modellenmesi için zaman serisi regresyon analizi yöntemlerinin karşılaştırılması(İnönü Üniversitesi, 2018) Karadağ, MehmetAmaç: Bu çalışmada Astım, KOAH, Pnömoni ve Pte hastalıklarının 3 farklı sonuç değişkeni GAM, DGDOM ve GAMAR yöntemleri kullanılarak modellenmiş ve yöntemlerin performans sonuçları karşılaştırılarak en iyi model araştırılmıştır. Materyal ve Metot: Gerçek verimiz, Gaziantep ili Kamu Hastaneleri Genel Sekreterliğine bağlı 3 hastaneden 01 Ocak 2009 ile 31 Mart 2014 tarihleri arasında toplam 1916 gün boyunca geriye dönük olarak izlenmesi ile elde edilen veriler kullanılarak oluşturuldu. Cevap değişkenleri; astım, KOAH, pnömoni ve pulmoner tromboemboli şikayeti ile "acil ve göğüs hastalıkları servislerine başvurular", "hastanede yatış" ve "mortalite" durumlarının günlük sayımı şeklindedir. Tahminlerde GAM, DGDOM ve GAMAR yöntemleri kullanılmış, aynı yöntemle kurulan 4 farklı modelden en iyi performansa sahip model, ilgili yöntem için karşılaştırma modeli olarak kullanılmıştır. Tahminlerin performansının değerlendirilmesinde AIC, düzeltilmiş AIC, BIC, fark yüzdesi ve düzeltilmiş R2 kriterleri kullanılmıştır. Bulgular: Astım, KOAH, pnömoni ve PTE hastalıklarının başvuru ve hastanede yatış cevap değişkenlerinin tahmininde performans kriterlerine göre GAM ve DGDOM benzer sonuçlar gösterirken, GAMAR metodunun diğer yöntemlere göre daha üstün sonuçlar verdiği gözlenmiştir. Hastalıkların eks cevap değişkenlerinde ise; astım hastalığında DGDOM diğer modellere göre üstün performans gösterse de diğer hastalıklarda yine GAMAR'ın üstün olduğu gözlenmiştir. Sonuç: İncelenen bağımlı değişkenler ile oluşturulan modeller kıyaslandığında, en iyi performansın GAMAR yönteminden elde edildiği gözlenmiştir. Bunun yanında OR grafiklerinde en düşük standart hatalı grafikler GAMAR yöntemi kullanılan modellerde gözlenmiştir. Anahtar Kelimeler: GAM, DGDOM, GAMAR, Çevre Epidemiyolojisi, Hava Kirliliği.Öğe Comparison of GAM and DLNM Methods for Disease Modeling in Environmental Epidemiology(2021) Karadağ, Mehmet; Kul, Seval; Yologlu, Saim; Boğan, Mustafa; Al, BehcetABSTRACT Objective: In this study, it was aimed to compare the performance results of the methods modeled by using generalized additive models (GAM) and distributed lag non-linear models (DLNM) methods from real data of three different outcome variables of three separate diseases related to air pollution. Material and Methods: The data were retrospectively obtained from three hospitals under the General Secretariat of Gaziantep province public hospitals for a total of 1,916 days between 01 January 2009 and 31 March 2014. Response variables were number of the emergency unit admission, hospitalization and mortality due to asthma, chronic obstructive pulmonary disease (COPD) and pneumonia. The response variables were estimated by GAM and DLNM methods by building four different models and the performances of the models were compared. Results: When the estimation performances of GAM and DLNM methods are compared for each of the dependent variables in the prediction of hospitalizations due to asthma, GAM model IV [Akaike Information Criteria (AIC) (4,280.63)] values were found to perform the best. It was observed that DLNM method performed better than GAM in models established for the prediction of almost all other dependent variables. For when compare the odds ratio (OR) plot estimated on particulate matter (PM10); it was seen that GAM method made predictions with lower standard error compared to DLNM methods. Conclusion: When the models created with each dependent variable were compared; it was generally observed that superior performance was obtained from the DLNM method. However, the lowest standard error in the OR charts were observed in the models using the GAM method.Öğe Investigation of the effect of milrinone on renal damage in an experimental non-heart beating donormodel(TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA, 2018) Batcıoğlu, Kadir; Uyumlu, Burçin A.; Karadağ, MehmetPurpose: In our study, it was aimed to investigate the preventive effect of milrinone on renal damage in experimental controlled non-heart-beating donors (NHBDs) model. Materials and Methods: Sixteen rats randomly divided into 2 groups, 8 rats in each were used. Group 1 was control, group 2 was milrinone group. Group 1 rats received 1.25ml 0.09% NaCl intraperitoneally equivalent to the milrinone diluted volume. Group 2 rats were administered intraperitoneally with 0.5mg/kg of milrinone 2hours before cardiac arrest. After the cardiac arrest, left nephrectomy was applied to the rats. Malondialdehyde, superoxide dismutase (SOD), catalase, glutathione peroxidase (GPx) activities, Caspase-3 (apoptotic index) and histopathological evaluation were performed in the tissues. Results: In the milrinone group, the total injury score was significantly lower relative to the control group (p = 0.001). Caspase-3 staining was moderately strong in the control group but weaker in the milrinone group. Apoptotic index was significantly lower in the milrinone group compared to the control group (p = 0.001). In comparison between groups, SOD and GPx in the milrinone group was significantly higher than the control group (p = 0.008, p = 0.006). Conclusions: Milrinone has been shown to be effective in the prevention of tissue damage due to oxidative stress and inflammatory process in the renal of warm ischemia in the experimental NHBDs model and in protecting the renal. Milrinone increases antioxidant activity while reducing apoptosis. Systemic administration of milrinone prior to cardiac arrest may be beneficial. Administration of milrinone to the recipient in the perioperative period may contribute to donor function.Öğe Media-based clinical research on selfie-related injuries and deaths(TURKISH ASSOC TRAUMA EMERGENCY SURGERY, KOPRULU MEHMET PASA SOC, DENIZ ABDAL MAH, DADASOGLU AP, 25-1 SEHREMINI, ISTANBUL, 00000, TURKEY, 2018) Karadağ, MehmetBACKGROUND: The incidence of taking selfies and sharing them on social media as well as selfie-related behaviors is increasing, particularly among young people, possible leading to selfie-related trauma. Therefore, we performed this clinical study to draw attention to selfie-related injuries and deaths. METHODS: We analyzed 159 selfie victims from 111 events or accidents, which were reported in the media sources. We evaluated vital results, demography, rhythmicity, preferences, event or accident types, selfie-related risk factors, affected body regions of victims with causes of injury, and death. RESULTS: We found that the majority of selfie victims were students. Selfie-related injuries and deaths were reported most frequently in India, the US, and Russia. The most preferred site of taking selfies was the edge of the cliff. The most frequently reported event or accident type was falling from a height. Mostly multiple body parts were affected in selfie-related injuries and deaths. The most frequent causes of selfie-related deaths were multitrauma and drowning. CONCLUSION: Selfie-related injuries and deaths have increased in the past years. Particularly, teenagers and young adults are at high risk for selfie-related traumas and deaths; therefore, drastic measures should be taken to reduce their incidence.
