Başkent University

About: Başkent University is a education organization based out in Ankara, Turkey. It is known for research contribution in the topics: Transplantation & Population. The organization has 4652 authors who have published 10380 publications receiving 143117 citations. The organization is also known as: Başkent Üniversitesi.

Recurrent posterior reversible encephalopathy syndrome in a hypertensive patient with end-stage renal disease.

Abstract: Posterior reversible encephalopathy syndrome (PRES) is a clinical and radiologic entity characterized by headache, variable mental status, epilepsy, visual disturbances, and typical transient changes in the posterior cerebral perfusion. Recurrence of PRES is not common, but increasingly in recent years, studies demonstrate recurrence of this syndrome in populations with different diseases. In this report, we describe recurrent PRES in a hypertensive patient with end-stage renal disease, and discuss recurrence as the least-characterized feature of PRES. This condition can cause neurological sequelae such as persistent brain damage and epilepsy, arising from delays in diagnosis and therapy. To the best of our knowledge, this is the first report demonstrating recurrent PRES in a patient on hemodialysis for end-stage renal disease.

Effects of methylprednisolone and betamethasone injections on the rotator cuff: an experimental study in rats.

Abstract: Thirty-one female Sprague-Dawley rats were used to determine the effects of subacromial corticosteroid injections on the rotator cuff. The injection technique was tested in 6 animals, which were excluded from the study. The remaining 25 rats were randomly divided into three groups of 8 animals each; a single rat received no injections. Every other week for 8 weeks, one shoulder in each rat was injected with methylprednisolone, betamethasone, or saline in a dosage equivalent to that used in humans. The supraspinatus and infraspinatus tendons were removed 10 days after the last injection and evaluated. There were no pathologic changes in the tendons injected with saline. In 43% of the methylprednisolone-treated rats and 29% of the betamethasone-treated rats, the tendons were abnormally soft and light-colored. In 43% of the methylprednisolone group and 71% of the betamethasone group, fragmentation of collagen bundles and inflammatory cell infiltration were evident. Subacromial injections of methylprednisolone or betamethasone repeated frequently can cause deleterious changes in the normal structure of the rat rotator cuff. In light of these findings, therapy for subacromial impingement syndrome of the shoulder with frequent, repeated steroid injections is potentially harmful.

BOX- BEHNKEN experimental design in factorial experiments: The importance of bread for nutrition and health

Abstract: BACKROUND: In this study, a BOX-BEHNKEN design (BBD) of response surface methodology was used to investigate the effects of the amount of bran, the amount of yeast and the fermentation time on the amount of phytic acid in bread. The goal of first order factorial experiment is to identify the optimum levels of independent variables for the dependent variable. In this study, the implementation of first order response surface model and interpretation of the results were based on a 3 k Box- Benhnken (BBD) experimental design with one replicate. RESULTS: The calculation of the data for the first-order response surface model revealed that R 2 was 99,5% and that the model described most of the variance in the dependent variable (phytic acid). CONCLUSION: According to the results of the Box-Behnken experimental design (BBD), it was found that the amount of bran and the fermentation time had highest effect on phytic acid and that the amount of yeast, either alone or in any interaction, had no effect on the amount of phytic acid. Thus, it was concluded that optimal use of the amount of bran and fermentation time in the production of high-quality bread could prevent several diseases in future.

How useful is a name-based algorithm in health research among Turkish migrants in Germany?

Abstract: Migrants often face particular social, economic and health disadvantages relative to the population of the host country. In order to adapt health services to the needs of migrants, health researchers need to identify differences in risk factor and disease profiles, as well as inequalities concerning treatment and prevention. Registries of health-related events could be employed for these purposes. In Germany, however, routine data bases often hold no, or inaccurate, information on the national origin of the cases registered. We developed an algorithm based on a large data set of Turkish family and first names (n=15 000), with religion as additional criterion, to identify cases of Turkish origin in registries in a largely automatic search. We tested the performance of the algorithm in a population registry and in a cancer registry. The algorithm discriminates well against Greek and Arab names, with 1% false positive matches in our study. It achieves a specificity of > 99.9% in delimiting Turkish from German cases in the cancer registry. The sensitivity can be increased to 85%, provided the small proportion of case records with uncertain origin can be assessed manually. The name algorithm can be useful for registry-based health research among Turkish migrants in Germany. Possible applications are e.g. in cancer registries to compare survival among German and Turkish cancer patients, or in health insurance registries to compare the relative importance of work-related degenerative diseases. In specific circumstances, the algorithm may also be useful in aetiological research.