Browsing by Author "Koçak, Abdullah Osman"
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Article Evaluation of Anxiety, Depression, and Insomnia Levels of Healthcare Professionals After Inactive Covid-19 Vaccination (coronavac)(2022) Koçak, Abdullah Osman; Doğruyol, Sinem; Tekyol, Davut; Doğruyol, Talha; Avcı, Sinem; Akbaş, İlker; Demirhan, Recepbjective: The aim of this study was to examine changes in the levels of depression, anxiety, and insomnia after inactive COVID-19 vaccination among healthcare professionals working actively during the COVID-19 pandemic. Methods: This cross-sectional study was conducted from January 1, 2021, to June 30, 2021, using an online survey across frontline healthcare professionals in Turkey. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) scale were used to evaluate the mental health of the participants, and the Insomnia Severity Index-7 (ISI-7) was used to evaluate their sleep problems. The data obtained from two different periods, pre-vaccination and post-vaccination, were examined. Results: The study included 416 healthcare professionals. The frequency of depression, anxiety, and insomnia was 27.9%, 31.5%, and 41.1%, respectively, in the pre-vaccination period, and there was a decrease in these rates (22.8%, 21.9%, and 34.1%, respectively) in the post-vaccination period. The differences between the two periods were also statistically significant for the PHQ-9 (p=0.000), GAD-7 (p=0.002), and ISI-7 (p=0.038) scores. We determined that the presence of long weekly working hours, being female, living alone, and presence of psychiatric disease were effective in the development of depression and anxiety. Conclusion: Among frontline healthcare professionals, depression, anxiety, and insomnia symptoms and the frequency of the diagnosis of these clinical conditions increased due to the COVID-19 pandemic. However, after the start of the immunization process, the frequency of these mental disorders and the anxiety levels of the healthcare professionals significantly decreased.Article Is It Possible To Have a Risk Scoring System That Provides Early Warning of the Poor Prognosis in Covid-19?(2022) Acar, Burak; Akbaş, İlker; Koçak, Abdullah Osman; Dogruyol, Sinem; Özcan, SinemObjective: In our study, we aimed to determine the factors associated with poor outcome by evaluating the data of possible/definite Coronavirus 2019 (COVID-19) cases coming to the emergency department in two centers and to establish a risk scoring system. Methods: This study has been designed as a retrospective study performed on COVID-19 cases. Patients’ sociodemographic data, complaints, vital signs, laboratory parameters, ser- vice/intensive care admission status, and the presence of death were analyzed. Results: A total of 436 patients were included in the study. We divided the cases into two groups in terms of poor outcome. The factors associated with poor outcome such as the presence of comorbid disease (p=0.001), being 50 years and older (p<0.001), symptoms of shortness of breath (p<0.001), saturation value <95% (p<0.001), neutrophil count >7×109 L–1 (p=0.006), lymphocyte count <1.1×109 L –1 (p=0.020), procalcitonin value ?0.015 ng/mL (p=0.001), D-dimer value ?500 mg/L (p=0.009) were found to be statistically significant. Conclusion: The scoring system we have created is considered to be a comprehensive, eas- ily applicable, and reliable method in determining the prognosis and the treatment strategy.
