Browsing by Author "Dursun A."

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    Gastrointestinal stromal tumors: A multicenter study of 1160 Turkish cases
    (2012) Bülbül Doǧusoy G.; Akalin T.; Tunçyürek M.; Kapran Y.; Doran F.; Dursun A.; Ensari A.; Gedikoǧlu G.; Saǧol Ö.; Özoran Y.; Pak I.; Yavuzer D.; Soyuer I.; Yavuz H.; Güneş P.; Sakiz D.; Behzatoǧlu K.; Ekinci N.; Arikök A.T.; Yerci Ö.; Gürbüz Y.; Kayaselçuk F.; Ayhan S.; Turhan N.; Özdamar Ş.
    Background/aims: The aim of this multicenter study was to determine the histopathological features and immunohistochemical profiles of gastrointestinal stromal tumors diagnosed in Turkish patients. Material and Methods: Twenty-eight participating centers registered their gastrointestinal stromal tumor cases on a nationwide database. The diagnosis of gastrointestinal stromal tumor relied upon hematoxylin & eosin features and the results of antibody panel including CD117, CD34, desmin, smooth muscle actin, S-100 protein, and Ki67. The database consisted of parameters including age, gender, location, and all other histopathological and immunohistochemical findings. Statistical analysis was performed using Pearson, Kruskal-Wallis, Mann-Whitney U, and Spearman tests. Results: From all of the gastrointestinal stromal tumors in the database, 1160 cases with a male to female ratio of 1.22 and a mean age of 56.75 years were included in the study. The most common location was the stomach (45.0%), followed by the small intestine, omentum-peritoneum, large intestine, and esophagus (32.0%, 12.6%, 9.3%, 1.1%, respectively). The risk groups were distributed as: 6.1% very low, 21.7% low, 19.3% intermediate, and 53% high-risk cases. Many histopathologic findings were correlated with risk groups. CD117 was positive in 95.3% of gastrointestinal stromal tumors, whereas CD34 was positive in 74.9%, smooth muscle actin in 45.9%, desmin in 9.2%, and S-100 in 19.1.%. Though no significant relation was found between CD117 expression and tumor location, CD34, smooth muscle actin and Ki67 expressions significantly varied in different locations (p=0.001) and risk groups. Conclusions: The results of this multicenter study demonstrated that features other than tumor size and mitosis and immune markers other than CD117 and Ki67 included in the antibody panel seem to be useful as predictive risk factors.
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    Epidemiological, Clinical, and Laboratory Features of Children With COVID-19 in Turkey
    (Frontiers Media S.A., 2021) Karbuz A.; Akkoc G.; Bedir Demirdag T.; Yilmaz Ciftdogan D.; Ozer A.; Cakir D.; Hancerli Torun S.; Kepenekli E.; Erat T.; Dalgic N.; Ilbay S.; Karaaslan A.; Erdeniz E.H.; Aygun F.D.; Bozdemir S.E.; Hatipoglu N.; Emiroglu M.; Sahbudak Bal Z.; Ciftci E.; Bayhan G.I.; Gayretli Aydin Z.G.; Ocal Demir S.; Kilic O.; Hacimustafaoglu M.; Sener Okur D.; Sen S.; Yahsi A.; Akturk H.; Cetin B.; Sutcu M.; Kara M.; Uygun H.; Tural Kara T.; Korukluoglu G.; Akgun O.; Üstündağ G.; Demir Mis M.; Sali E.; Kaba O.; Yakut N.; Kılıc O.; Kanik M.K.; Cetin C.; Dursun A.; Cicek M.; Kockuzu E.; Sevketoglu E.; Alkan G.; Guner Ozenen G.; İnce E.; Baydar Z.; Ozkaya A.K.; Ovali H.F.; Tekeli S.; Celebi S.; Cubukcu B.; Bal A.; Khalilova F.; Kose M.; Hatipoglu H.U.; Dalkiran T.; Turgut M.; Basak Altas A.; Selcuk Duru H.N.; Aksay A.; Saglam S.; Sari Yanartas M.; Ergenc Z.; Akin Y.; Duzenli Kar Y.; Sahin S.; Tuteroz S.K.; Bilen N.M.; Ozdemir H.; Senoglu M.C.; Pariltan Kucukalioglu B.; Besli G.E.; Kara Y.; Turan C.; Selbest Demirtas B.; Celikyurt A.; Cosgun Y.; Elevli M.; Sahin A.; Bahtiyar Oguz S.; Somer A.; Karadag B.; Demirhan R.; Turk Dagi H.; Kurugol Z.; Taskin E.C.; Sahiner A.; Yesil E.; Ekemen Keles Y.; Sarikaya R.; Erdem Eralp E.; Ozkinay F.; Konca H.K.; Yilmaz S.; Gokdemir Y.; Arga G.; Ozen S.; Coksuer F.; Vatansever G.; Tezer H.; Kara A.
    Objectives: The aim of this study is to identify the epidemiological, clinical, and laboratory features of coronavirus disease 2019 (COVID-19) in children. Methods: A retrospective study was conducted by pediatric infectious disease specialists from 32 different hospitals from all over Turkey by case record forms. Pediatric cases who were diagnosed as COVID-19 between March 16, 2020, and June 15, 2020 were included. Case characteristics including age, sex, dates of disease onset and diagnosis, family, and contact information were recorded. Clinical data, including the duration and severity of symptoms, were also collected. Laboratory parameters like biochemical tests and complete blood count, chest X-ray, and chest computed tomography (CT) were determined. Results: There were 1,156 confirmed pediatric COVID-19 cases. In total, male cases constituted 50.3% (n = 582) and females constituted 49.7% (n = 574). The median age of the confirmed cases was 10.75 years (4.5–14.6). Of the total cases, 90 were younger than 1 year of age (7.8%), 108 were 1–3 years of age (9.3%), 148 were 3–6 years of age (12.8%), 298 were 6–12 years of age (25.8%), 233 were 12–15 years of age (20.2%), and 268 cases were older than 15 years of age (23.2%). The most common symptom of the patients at the first visit was fever (50.4%) (n = 583) for a median of 2 days (IQR: 1–3 days). Fever was median at 38.4°C (38.0–38.7°C). The second most common symptom was cough (n = 543, 46.9%). The other common symptoms were sore throat (n = 143, 12.4%), myalgia (n = 141, 12.2%), dyspnea (n = 118, 10.2%), diarrhea (n = 112, 9.7%), stomachache (n = 71, 6.1%), and nasal discharge (n = 63, 5.4%). When patients were classified according to disease severity, 263 (22.7%) patients were asymptomatic, 668 (57.7%) patients had mild disease, 209 (18.1%) had moderate disease, and 16 (1.5%) cases had severe disease. One hundred and forty-nine (12.9%) cases had underlying diseases among the total cases; 56% of the patients who had severe disease had an underlying condition (p < 0.01). The need for hospitalization did not differ between patients who had an underlying condition and those who do not have (p = 0.38), but the need for intensive care was higher in patients who had an underlying condition (p < 0.01). Forty-seven (31.5%) of the cases having underlying conditions had asthma or lung disease (38 of them had asthma). Conclusions: To the best of our knowledge, this is one of the largest pediatric data about confirmed COVID-19 cases. Children from all ages appear to be susceptible to COVID-19, and there is a significant difference in symptomatology and laboratory findings by means of age distribution. © Copyright © 2021 Karbuz.
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    Mortality risk factors among critically ill children with MIS-C in PICUs: a multicenter study
    (Springer Nature, 2023) Sık G.; Inamlık A.; Akçay N.; Kesici S.; Aygun F.; Kendırlı T.; Atay G.; Sandal O.; Varol F.; Ozkaya P.Y.; Duyu M.; Bırbılen A.Z.; Ozcan S.; Arslan G.; Kangın M.; Bayraktar S.; Altug U.; Anıl A.B.; Havan M.; Yetımakman A.F.; Dalkıran T.; Zengın N.; Oto A.; Kıhtır H.S.; Gırgın F.İ.; Telhan L.; Yıldızdas D.; Yener N.; Yukselmıs U.; Alakaya M.; Kılınc M.A.; Celegen M.; Dursun A.; Battal F.; Sarı F.; Ozkale M.; Topal S.; Kocaoglu C.; Yazar A.; Alacakır N.; Odek C.; Yaman A.; Cıtak A.; Bıngol I.; Annayev A.; Sevketoglu E.; Katlan B.; Durak C.; Gun E.; Erdogan S.; Seven P.; Sahın E.; Arı H.F.; Boyraz M.; Durak F.; Emeksız S.; Ozdemır G.; Duman M.; Talay M.N.; Yener G.O.; Luleyap D.; Harmanogulları S.; Başar E.Z.; Mercan M.; Bal A.; Kılıc N.; Ongun E.A.; Ozturk M.N.; Ekıncı F.; Udurgucu M.; Arslankoylu A.E.; Kutlu N.O.; Bukulmez A.; Özsoylu S.; Celık T.; Ozkale Y.; Kılıc A.O.
    Background: This study evaluated of clinical characteristics, outcomes, and mortality risk factors of a severe multisystem inflammatory syndrome in children admitted to a the pediatric intensive care unit. Methods: A retrospective multicenter cohort study was conducted between March 2020 and April 2021 at 41 PICUs in Turkey. The study population comprised 322 children diagnosed with multisystem inflammatory syndrome. Results: The organ systems most commonly involved were the cardiovascular and hematological systems. Intravenous immunoglobulin was used in 294 (91.3%) patients and corticosteroids in 266 (82.6%). Seventy-five (23.3%) children received therapeutic plasma exchange treatment. Patients with a longer duration of the PICU stay had more frequent respiratory, hematological, or renal involvement, and also had higher D-dimer, CK-MB, and procalcitonin levels. A total of 16 patients died, with mortality higher in patients with renal, respiratory, or neurological involvement, with severe cardiac impairment or shock. The non-surviving group also had higher leukocyte counts, lactate and ferritin levels, and a need for mechanical ventilation. Conclusions: In cases of MIS-C, high levels of D-dimer and CK-MB are associated with a longer duration of PICU stay. Non-survival correlates with elevated leukocyte counts and lactate and ferritin levels. We were unable to show any positive effect of therapeutic plasma exchange therapy on mortality. Impact: MIS-C is a life-threatening condition.Patients need to be followed up in the intensive care unit.Early detection of factors associated with mortality can improve outcomes.Determining the factors associated with mortality and length of stay will help clinicians in patient management.High D-dimer and CK-MB levels were associated with longer PICU stay, and higher leukocyte counts, ferritin and lactate levels, and mechanical ventilation were associated with mortality in MIS-C patients.We were unable to show any positive effect of therapeutic plasma exchange therapy on mortality. © 2023, The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.