Fakülteler / Faculties
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Item Real-World Data on the Incidence of Stroke, Myocardial Infarction, and Mortality Among Nonvalvular Atrial Fibrillation Patients in Türkiye: New Oral Anticoagulants-TURKey Study(2023) Unlu, Serkan; Altay, Servet; Gedikli, Omer; Ozden, Ozge; Canpolat, Ugur; Askin, Lutfu; Yayla, Cagri; Yanik, Ahmet; Cakmak, Huseyin Altug; Sinan, Umit Yasar; Besli, Feyzullah; Sahin, Mahmut; Pehlivanoglu, Seckin; 0000-0002-4837-7099; 37888785; A-7003-2017Background: Atrial fibrillation (AF) is strongly associated with an increased risk of isch- emic events. Anticoagulation focuses on reducing the risk of embolism. Guideline recom- mended CHA2DS2-VASc scoring system is most widely used; however, different scoring systems do exist. Thus, we sought to assess the impact of anticoagulant treatment and different scoring systems on the development of stroke, myocardial infarction, and allcause mortality in patients with nonvalvular AF. Methods: The present study was designed as a prospective cohort study. The enrollment of the patients was conducted between August 1, 2015, and January 1, 2016. The followup period was defined as the time from enrollment to the end of April 1, 2017, which also provided at least 12 months of prospective follow-up for each patient. Results: A total of 1807 patients with AF were enrolled. During the follow-up, 2.7% (48) of patients had stroke, 0.8% (14) had myocardial infarction, and 7.5% (136) died. The antico- agulation and risk factors in AF (ATRIA) score had a better accuracy for the prediction of stroke compared to other scoring systems (0.729, 95% CI, 0.708-0.750, P < .05). Patients under low -dose rivaroxaban treatment had significantly worse survival (logrankP < .001). Age, CHA2DS2-VASc score, R2CHADS2 score, ATRIA score, chronic heart failure, prior stroke, and being under low -dose rivaroxaban treatment were independent predictors of clinical endpoint (P < .001). Conclusion: Low -dose rivaroxaban treatment was independently and strongly associated with the combined clinical endpoint. Furthermore, the ATRIA score proved to be a stronger predictor of stroke in the Turkish population.Item Predicting 10-day Mortality in Patients with Strokes Using Neural Networks and Multivariate Statistical Methods(2014) Celik, Guner; Baykan, Omer K.; Kara, Yakup; Tireli, Hulya; 24674954Background: The aim of the present study was to evaluate the performance of 2 different multivariate statistical methods and artificial neural networks (ANNs) in predicting the mortality of hemorrhagic and ischemic patients within the first 10 days after stroke. Methods: The multilayer perceptron (MLP) ANN model and multivariate statistical methods (multivariate discriminant analysis [MDA] and logistic regression analysis [LRA]) have been used to predict acute stroke mortality. The data of total 570 patients (230 hemorrhagic and 340 ischemic stroke), who were admitted to the hospital within the first 24 hours after stroke onset, have been used to develop prediction models. The factors affecting the prognosis were used as inputs for prediction models. Survival or death status of the patients was taken as output of the models. Results: For the MLP method, the accuracies were 99.9% in a training data set and 80.9% in a testing data set for the hemorrhagic group, whereas 97.8% and 75.9% for the ischemic group, respectively. For the MDA method, the training and testing performances were 89.8%, 87.8% and 80.6%, 79.7% for hemorrhagic and ischemic groups, respectively. For the LRA method, the training and testing performances for the hemorrhagic group were 89.7% and 86.1%, and for the ischemic group were 81.7% and 80.9%, respectively. Conclusions: Training and test performances yielded different results for ischemic and hemorrhagic groups. MLP method was most successful for the training phase, whereas LRA and MDA methods were successful for the test phase. In the hemorrhagic group, higher prediction performances were achieved for both training and testing phases. (C) 2014 by National Stroke AssociationItem Comparison of conventional and modern methods in determining ischemic stroke etiology by general and stroke neurologists(2019) Kunt, Refik; Kutluk, Mustafa Kursad; Tiftikcioglu, Bedile Irem; Afsar, Nazire; Erdemoglu, Ali Kemal; Gedizlioglu, Muhtesem; Ozturk, Vesile; 0000-0002-4573-3844; 30764594; I-7963-2019Background/aim: This study aimed to investigate the consistency between stroke and general neurologists in subtype assignment using the Trial of ORG-10172 in Acute Stroke Treatment (TOAST) and Causative Classification of Stroke (CCS) systems. Materials and methods: Fifty consecutive acute ischemic stroke patients admitted to the stroke unit were recruited. Patients were classified by two stroke and two general neurologists, each from different medical centers, according to TOAST followed by the CCS. Each neurologist was assessed for consistency and compliance in pairs. Concordance among all four neurologists was investigated and evaluated using the kappa (kappa) value. Results: The kappa (kappa) value of diagnostic compliance between stroke neurologists was 0.61 (95% CI: 0.45-0.77) for TOAST and 0.78 (95% CI: 0.62-0.94) for CSS-5. The kappa (kappa) value was 0.64 (95% CI: 0.48-0.80) for TOAST and 0.75 (95% CI: 0.60-0.91) for CCS-5 for general neurologists. Compliance was moderate [kappa: 0.59 (95% CI: 0.52-0.65)] for TOAST and was strong [kappa: 0.75 (95% CI: 0.68-0.81)] for CCS-5 for all 4 neurologists. 'Cardioembolism' (91.04%) had the highest compliance in both systems. The frequency of the group with 'undetermined etiologies' was less in the CCS (26%) compared to TOAST. Conclusion: The CCS system improved compliance in both stroke and general neurologists compared with TOAST. This suggests that the automatic, evidence-based, easily reproducible CCS system was superior to the TOAST system.