Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
Repository logoRepository logo
  • Communities & Collections
  • All Contents
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Can Y."

Now showing 1 - 2 of 2
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    Reliability and validity study of the Turkish version of the clinical opiate clinical scale; [Klinik opiyat yoksunluk ölçeği (clinical opiate withdrawal scale-cows) Türkçe sürümünün güvenilirliği ve geçerliliği]
    (Turkish Neuropsychiatric Society, 2015) Altintoprak A.E.; Evren E.C.; Aydemir Ö.; Yapici-Eslek A.; Can Y.; Mutlu E.; Tokuçoğlu L.; Deveci A.; Coşkunol H.
    Introduction: The aim of the present study was to perform reliability and validity analyses of the Turkish version of the Clinical Opiate Withdrawal Scale which is used to determine the severity of opiate withdrawal. Methods: Initially, the Clinical Opiate Withdrawal Scale (COWS) was translated into Turkish and subsequently back-translated into English. The originality of the back-translated version was approved by the author who developed the scale. After the translation was completed, the scale was used to assess the withdrawal symptoms of 100 patients with opiate withdrawal and 41 patients with alcohol withdrawal. Cronbach’s alpha was used in the reliability assessment; explanatory and confirmatory factor analyses were used in structural validity assessment; and in scale validity, ROC analysis was used among diagnosis groups. Results: The Cronbach’s alpha internal consistency coefficient was calculated as 0.74 in reliability analyses. The correlation coefficient was found to be 0.975 (p<0.001) for inter-rater reliability. Factor analysis was conducted for the structural validity of the scale and findings that support the unidimensional structure of the scale were observed. In the confirmatory factor analysis, CFI, GFI and RMSEA values were found to be 0.905, 0.905 and 0.079, respectively. It was detected that COWS was successful in distinguishing between opiate and alcohol withdrawal symptoms and the area under the ROC curve was 0.878. Conclusion: This study showed that the Turkish version of COWS can be used reliably and validly for assessing opiate withdrawal. © 2015 by Turkish Association of Neuropsychiatry.
  • No Thumbnail Available
    Item
    Evaluation of abdominal computed tomography findings in patients with COVID-19: a multicenter study
    (Galenos Publishing House, 2023) Onur M.R.; Özbay Y.; İdilman İ.; Karaosmanoğlu A.D.; Ramadan S.U.; Barlık F.; Aydın S.; Odaman H.; Altay C.; Akın I.B.; Dicle O.; Appak Ö.; Gülpınar B.; Erden A.; Kula S.; Çoruh A.G.; Öz D.K.; Kul M.; Uzun Ç.; Karavaş E.; Levent A.; Artaş H.; Eryeşil H.; Solmaz O.; Kaygusuz T.Ö.; Faraşat M.; Kale A.B.; Düzgün F.; Pekindil G.; Apaydın F.D.; Duce M.N.; Balcı Y.; Esen K.; Kahraman A.S.; Karaca L.; Özdemir Z.M.; Kahraman B.; Tosun M.; Nural M.S.; Çamlıdağ İ.; Onar M.A.; Ballı K.; Güler E.; Harman M.; Elmas N.Z.; Öztürk C.; Güngör Ö.; Herek D.; Yağcı A.B.; Erol C.; Şeker M.; İşlek İ.; Can Y.; Aslan S.; Bilgili M.Y.K.; Göncüoğlu A.; Keleş H.; Bekin Sarıkaya P.Z.; Bakır B.; Dağoğlu Kartal M.G.; Durak G.; Oğuzdoğan G.Y.; Alper F.; Yalçın A.; Gürel S.; Alan B.; Gündoğdu E.; Aydın N.; Cansu A.; Kuş C.C.; Tuncer E.O.; Pişkin F.C.; Çolakoğlu Er H.; Değirmenci B.; Özmen M.N.; Kantarcı M.; Karçaaltıncaba M.
    PURPOSE To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT atherosclerosis score in the abdominal aorta. METHODS This study was designed as a multicenter retrospective study. The abdominal CT findings of 1.181 patients with positive abdominal symptoms from 26 tertiary medical centers with a positive polymerase chain-reaction test for severe acute respiratory syndrome coronavirus 2 were reviewed. The frequency of ischemic and non-ischemic CT findings as well as the association between CT findings, clinical features, and abdominal aortic calcific atherosclerosis score (AA-CAS) were recorded. RESULTS Ischemic and non-ischemic abdominal CT findings were detected in 240 (20.3%) and 328 (27.7%) patients, respectively. In 147 patients (12.4%), intra-abdominal malignancy was present. The most frequent ischemic abdominal CT findings were bowel wall thickening (n = 120; 10.2%) and perivascular infiltration (n = 40; 3.4%). As for non-ischemic findings, colitis (n = 91; 7.7%) and small bowel inflammation (n = 73; 6.2%) constituted the most frequent disease processes. The duration of hospital stay was found to be higher in patients with abdominal CT findings than in patients without any positive findings (13.8 ± 13 vs. 10.4 ± 12.8 days, P < 0.001). The frequency of abdominal CT findings was significantly higher in patients who did not survive the infection than in patients who were discharged after recovery (41.7% vs. 27.4%, P < 0.001). Increased AA-CAS was found to be associated with a higher risk of ischemic conditions in abdominal CT examinations. CONCLUSION Abdominal symptoms in patients with COVID-19 are usually associated with positive CT findings. The presence of ischemic findings on CT correlates with poor COVID-19 outcomes. A high AA-CAS is associated with abdominal ischemic findings in patients with COVID-19. © 2023, Galenos Publishing House. All rights reserved.

Manisa Celal Bayar University copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback