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 Open Access Fracture History in Osteoporosis: Risk Factors and its Effect on Quality of Life(AVES, 2015-01-15) AKYÜZ, GÜLSEREN DERYA; Kuru, Pinar; Akyuz, Gulseren; Cersit, Hulya Peynirci; Celenlioglu, Alp Eren; Cumhur, Ahmet; Biricik, Sefikcan; Kozan, Seda; Goksen, Aylin; Ozdemir, Mikail; Luleci, EmelBackground: Fractures are one of the main outcomes in osteoporosis and have an important effect on the general health status. Aims: The purpose of this study was to determine the effect of major fracture history on quality of life. We also investigated the important risk factors and their effect on bone mineral density and fracture history. Study Design: Cross-sectional study. Methods: We recruited 105 patients who were admitted to an osteoporosis outpatient clinic. Medical history, family history, calcium intake, physical activity level and biochemical tests were evaluated. Lumbar spine and femur neck bone mineral density were measured. The Qualeffo-41 questionnaire was also used for evaluating quality of life. Results: The average age of the 105 patients included in the study was 56.04 +/- 13.73 and 89% of them were post-menopausal women. The average body mass index was 26.84 +/- 5.99, which means that the women were overweight. Also, 48.5% of the patients were diagnosed with osteoporosis and 51.5% of them were diagnosed as low bone density. A total of 34 patients had a fracture history with minor trauma and some of the patients had more than one fracture (12 ankle and foot, 10 forearm, 9 vertebral, 4 hand, 3 hip, 2 rib, 1 tibial). When the patients with and without fracture history were compared, the mean Qualeffo-41 score in patients with fracture was 43.85 +/- 2.57 and in the non-fracture group was 36.27 +/- 2.01. Conclusion: Forearm, ankle and foot fractures can be commonly seen in osteoporosis patients with fracture history. We suggest that it is important to recognise osteoporosis prior to first fracture and disease-specific quality of life assessment should be done.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 Open Access The Prevalence of Osteoporosis in the Thrace Region of Turkey: A Community-Based Study(AVES, 2014-11-26) AKYÜZ, GÜLSEREN DERYA; Keskin, Yasar; Cekin, Murat Dincer; Gunduz, Hakan; Luleci, Nimet Emel; Giray, Esra; Sur, Haydar; Akyuz, GulserenObjective: This study was planned as a community-based research study to estimate the prevalence of osteoporosis and explore related risk factors in the Thrace region of Turkey. Material and Methods: The community-based study involved a total of 620 people, 498 women and 122 men, aged between 40 and 89 years. A questionnaire on the medical history and lifestyles of the participants was applied with a face-to-face interview. Body weight height, and arm span of each participant were measured, together with bone mineral density at the middle phalanges of the second, third, and fourth digits of the non-dominant hand using dual-energy X-ray laser absorptiometry. Results: Age, clothing, lack of regular exercise, and giving birth to more than two children seem to contribute to osteoporosis, while high education, high economic level, tea and moderate alcohol consumption, oral contraceptive use, and hormone replacement therapy seem to retard osteoporosis. Osteoporotic patients had more fractures in the past. Height and weight were significantly lower in osteoporotic women. Conclusion: Lifestyle affects the prevalence of osteoporosis. Drinking tea and alcohol seems to be controversial with regard to osteoporosis risk.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.