Person: AKYÜZ, GÜLSEREN DERYA
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AKYÜZ
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GÜLSEREN DERYA
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Publication Metadata only A method for determining the grade of osteoporosis based on risk factors in postmenopausal women(SPRINGER LONDON LTD, 2005) AKYÜZ, GÜLSEREN DERYA; Ofluoglu, D; Gunduz, OH; Bekirolu, N; Kul-Panza, E; Akyuz, GThe aim of this study was to determine whether the probability of osteoporosis and osteopenia was affected by the risk factors, physical examination findings, or radiological investigations such as spinal X-rays in postmenopausal women. We assessed risk factors such as use of hormone replacement therapy, physical activity level, calcium intake, smoking, caffeine consumption, long-term immobilization, previous history of fracture, family history of fracture, presence of certain systemic diseases (hyperthyroidism or hyperparathyroidism), or use of medications (corticosteroids or others), physical examinations, and presence of vertebral fractures on spinal X-rays. Patients' bone mineral density (BMD) was evaluated using dual energy X-ray absorptiometry (DXA) in the lumbar spine, and we compared the risk factors between osteopenic and osteoporotic women according to DXA. We evaluated 235 postmenopausal women who attended our osteoporosis outpatient clinic. Those patients were divided into two groups as either osteopenic (n=67, mean age: 63.1 years) or osteoporotic (n=168, mean age: 66.2 years) according to WHO criteria. The lumbar spinal (L1-L2) T-score values were -1.5 +/- 0.6 and -3.1 +/- 0.6 in osteopenic and osteoporotic groups, respectively. There were significant differences between the two groups in terms of mean age and lumbar BMD (p=0.009 and p < 0.001, respectively). We also observed that vertebral tenderness on palpation, back pain, and existing vertebral fracture (fx) were significantly different between the osteopenic and osteoporotic groups (p < 0.05). As a result of the statistical analysis, we found an equation to determine osteopenic and osteoporotic women by using those four factors (age, vertebral tenderness on palpation, back pain, and existing vertebral fx) in multivariate stepwise logistic regression. The equation is as follows: Y (DXA) = -2.9024 + 0.044 (age in year) + 0.819 (vertebral fx) + 0.877 (pain) + 1.136 (vertebral tenderness). We can estimate whether a postmenopausal woman is osteopenic or osteoporotic based on these risk factors by using the stepwise logistic regression equation.Publication Metadata only Bilateral tibial stress fracture in a young man due to hypercalciuric osteoporosis: a case report(SPRINGER, 2006) AKYÜZ, GÜLSEREN DERYA; Ofluoglu, D; Ofluoglu, O; Akyuz, GOsteoporosis is commonly thought of as a disease of postmenopausal women, and older men have a lower risk of fracture than women. A stress fracture is an overuse injury and an important cause of disability in the athletic population. Presented here is a 30-year-old healthy man with pain on the anterior surface of the bilateral tibia. He did not communicate any trauma or overuse activity. The neurologic and locomotor system examinations were normal. Radiological examinations revealed tibial stress fractures in both left and right tibia and he had low bone mineral density. Routine hematological tests, bone resorption and formation markers were normal, except for hypercalciuria. After analyzing the results of these tests, the patient was diagnosed with bilateral tibial stress fractures due to hypercalciuric secondary osteoporosis. Osteoporosis should be considered in the differential diagnosis of atraumatic insufficiency fractures, especially in young healthy adults.Publication Metadata only Relationship between arm span and height in postmenopausal osteoporotic women(SPRINGER HEIDELBERG, 2008) AKYÜZ, GÜLSEREN DERYA; Ofluoglu, Demet; Unlu, Feyza; Akyuz, GulserenOsteoporosis is a progressive systemic skeletal disease characterized by low bone density and microarchitectural deterioration of the bone. A minimum 3-cm difference between arm span and height makes up one of the criteria for suspecting osteoporosis. Therefore, it is easy to determine osteoporotic women by measuring the proportion of height to the arm span. The purposes of this study are to assess the relationship between arm span and height and to compare them in postmenopausal and young healthy women. This was a randomized-controlled, prospective study. There were two groups in this study. Group I included 70 postmenopausal osteoporotic women and group II had 70 healthy young women. Height, weight and arm span of the individuals were measured in all subjects. Bone mineral density and radiological examination of spine were also evaluated. Mean age of postmenopausal women was 64.4 +/- 8.6 years and it was 27.3 +/- 3.5 years in young healthy women. Mean height was 152 +/- 5.1 and 161.5 +/- 5.9 cm in group I and II, respectively. Mean arm span length was 159.6 +/- 6.3 cm in postmenopausal women and 163.5 +/- 6 cm in young healthy women. Mean arm span-height difference was significantly higher in postmenopausal women when compared to healthy young women (7.7 +/- 3.6 and 2 +/- 2.9 cm, respectively, P < 0.001). We suggest that arm span measurements can be used in the estimation of youth height and age-related loss in stature in postmenopausal women.