Yazar "Boğan, Mustafa" seçeneğine göre listele

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  • Küçük Resim
    Öğe
    Acil Pandemi Polikliniğine Başvuran ve COVID-19 Şüphesiyle Değerlendirilen Hastaların Retrospektif Analizi
    (2021) Altınsoy, Hasan Baki; Naldemir, İbrahim Feyyaz; Çalışkan, Emel; Şahin, İbrahim Ethem; Karadağ, Mehmet; Boğan, Mustafa
    Amaç: SARS-CoV-2 olarak adlandırılan yeni tip korona virüsün neden olduğu COVID-19 pandemisi halen tüm dünyada etkisini sürdürmektedir. COVID-19 etkeninin neden olduğu semptomlar diğer solunum yolu etkenlerine benzese de toplumsal etkileri oldukça şiddetli ve farklı seyretmektedir. Bu çalışma hastanemizin acil servis girişinde oluşturulan acil pandemi polikliniğine başvuran ve COVID-19 ön tanısıyla tetkik edilen hastaların analizinin yapılması amacıyla planlanmıştır.Gereç ve Yöntemler: Acil pandemi polikliniğine başvurmuş 16 yaş ve üzeri hastalardan, ateş, öksürük, nefes darlığı şikayetleri olup COVID-19 şüphesiyle polimeraz zincir reaksiyonu (PZR) testi için üst solunum yolundan sürüntü örneği alınmış ve Toraks bilgisayarlı tomografisi (TBT) yapılmış olanlar dahil edilmiştir. Bulgular: PZR testi pozitif ve negatif olan hastaların geliş şikayetleri karşılaştırıldığında, iki grubun da benzer şikayetlere sahip olduğu görülmüştür. PZR testi pozitif hastaların WBC sayıları (5748,39 ± 1547,01), nötrofil sayıları (3650,32 ± 1355,58), lenfosit sayıları (1467,74 ± 472,3) ve platelet sayıları (224,65 ± 76,01); PZR testi negatif olan hastalardan daha düşük bulunmuştur.Sonuç: COVID-19 PZR testi pozitif hastalarda daha düşük WBC, nötrofil ve lenfosit sayısı tespit edilmiştir. Toraks bilgisayarlı tomografi bulguları olan PZR pozitif vakalarda platelet sayısı daha düşük ve CRP değeri daha yüksek izlenmiştir. Bu verilerin özellikle ileri tanı testlerinin olmadığı veya geç sonuçlandığı sağlık kuruluşları için hastalıktan şüphelenme ve erken izolasyon için yol gösterici olabileceğini düşünmekteyiz.
  • Küçük Resim
    Öğe
    Analysis of publications related to Triage in the Web of Science database
    (2022) Karadağ, Mehmet; Boğan, Mustafa
    Objective The aim of this study is to make a bibliometric analysis of the publications made about the increasing triage in recent years.\rMaterials\rand Methods\rThe review of the articles to be included in this study was conducted on June 8, 2021 using the database of Web of Science Core Collection. Triage was written in the subject\rsection and a search was made in the form. “Web of Science Categories: (All); Document Types: (All); Languages: (English); Timespan: (All); Indexes: (All)”. During the\rsearch, no restrictions were entered regarding the dates of the publications. The data were transferred to VOSviewer software and analyzed systematically.\rResults A total of 22653 publications were descripted between 1980 and 2021. It was found that the most publications were made in the field of emergency medicine (EM) (n=3798;\r16,76%). It has been observed that the most publications have been made from the United States. (n=10049; 44,36%). When Turkey's place in all fields and EM is examined;\rit was seen that it was in the 26th rank (n=225; 0,99%) in the all fields, and 18th in the EM field (n=50; 1,32%).\rConclusion Studies and publications on triage have been conducted most often in the field of emergency medicine. However, Turkey's place in the current literature is far behind\rcompared to the risks it poses. It is recommended to increase the work on this area in our country.
  • Küçük Resim
    Öğe
    Comparison of GAM and DLNM Methods for Disease Modeling in Environmental Epidemiology
    (2021) Karadağ, Mehmet; Kul, Seval; Yoloğlu, Saim; Boğan, Mustafa; Al, Behçet
    ABSTRACT 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.