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Postmenopausal osteoporosis

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Abstracts / Maturitas 81 (2015) 144–190 167

P63

Bone and fat interconnection in women with estrogen deficit

Antonina Smetnik1,∗, Vera Smetnik2, Andrey Donnikov1, Svetlana Yureneva1, Oksana Yakushevskaya1

1FSBI ‘Research Center for Obstetrics, Gynecology and Perinatology’ Ministry of Healthcare of the Russian Federation, Moscow, Russian Federation 2FSBI ‘Research Center for Obstetrics, Gynecology and Perinatology’ Ministry of Healthcare of the Russian Federation, Gynecological Endocrinology, Moscow, Russian Federation

Objective: To evaluate the interrelation of bone and fat based on tissue, biochemical and molecular-genetic markers in women with estrogen deficit.

Materials and methods: 54 women hypogonadotropic amen-orrhea (HA), 55 with premature ovarian insufficiency (POI) and 191 postmenopausal women (PM) living in the Russian Federation enrolled in cross-sectional study. BMI, DXA, hormones, markers of bone and lipid metabolism were evaluated. SNPs of RANKL, SOST, LEPR, LEP, VDR were assessed by PCR.

Results: 48.2% of women with HA and 23.6% with POI had low bone mineral density (BMD) [OR 3.0 (95%CI 1.3–6.8), p = 0.01]. Accordingly 25.9% of women with HA and 5.5% with POI were underweight [OR 6.1 (95%CI 1.7–22.3), p < 0.01]. There was a correlation between BMI and T-score (L1–L4): r = 0.37, p < 0.001; and T (neck mean): r = 0.44, p < 0.001 in PM women. Via logistic regression analysis we worked out a screening for low BMD in women with amenorrhea: y = 2.67 + 0.22× (duration of amenorrhea, years)− 0.29 × (BMI, kg/m2) + 0.74× (atherogenic index). AUC 0.79 (95%CI 0.68–0.89), p < 0.001. p > 50% (y > 0) high-risk group (Sp = 85%, PPV = 70%); p < 27% (y <−1.0) − low-risk group (Se = 87%, NPV = 88%). The probability of PM osteo-porosis can be determined by formula: y = 6.65− 0.07 × (body mass, kg)− 0.97 × (LEPR, rs8179183) + 0.56 × (RANKL, rs9594759). In amenorrheic and PM women with normal weight there was no significant influence of LEPR polymorphism (rs8179183) on BMD, whereas in women with HA and underweight as well as in PM women with obesity there was a significant influence of LEPR on BMD (L1–L4; neck mean) (p < 0.05). The concentration of osteo-calcin was positively associated with underweight in women with amenorrhea. SOST polymorphism (rs1230399) influenced BMI only in women with PM osteoporosis (p < 0.05) contrary to those with normal BMD. VDR (rs731236) is associated with obesity in PM women.

Conclusion: Significant interrelation of bone and fat tissue was found in women with estrogen deficit.

http://dx.doi.org/10.1016/j.maturitas.2015.02.198

P64

Postmenopausal osteoporosis

Güls¸ah Tanrıverdi1,∗, Zehra Eskimez1, Pınar Yes¸il1, Gürsel Öztunc¸1, Ahmet T. Tanrıverdi2 1Cukurova University Adana Health School, Nursing, Adana, Turkey

2C¸ukurova University, Sociology of Religion, Adana, Turkey

Throughout their life, women pass through various stages such as adolescence, reproduction, climacteric states and ageing; each

of these periods has its specific physiological, psychological and social problems. Postmenopausal osteoporosis which is one of the health problems of climacteric period is the most important health problem. Osteoporosis is a skeletal system disease that increases the propensity to bone fractures related to the decrease in bone mass. According to the WHO criteria, osteoporosis is defined as a BMD that lies 2.5 standard deviations or more below the average value for young healthy women (a T-score of <−2.5 SD).

The World Health Organization states that throughout the world, over 200 million people experience bone mineral density loss and approximately 40% of the affected people are women at the age of 50 or over.

In the WHO Study Group meeting on Assessment of fracture risk and its application to screening for postmenopausal osteo-porosis, osteoporosis has been recognized as an established and well-defined disease that affects more than 75 million people in the United States, Europe and Japan. Osteoporosis causes more than 8.9 million fractures annually worldwide, of which more than 4.5 million occur in the Americas and Europe. Osteoporosis is not only a major cause of fractures, it also ranks high among diseases that cause people to become bedridden with serious complica-tions. These complications may be life threatening in elderly people. As a result, the purposes should involve preventing fractures in postmenopausal osteoporosis with medical therapy approaches, improving symptoms related to the disease, and increasing bone mineral density and quality of life. In addition to the physiological problems of the women with postmenopausal osteoporosis, it is important to keep in mind that the women should be evaluated as a whole with their psychosocial problems.

http://dx.doi.org/10.1016/j.maturitas.2015.02.199

P65

Renal function is associated with bone mineral density and arterial stiffness in healthy postmenopausal women

Yeon Soo Jung1,2,∗, Hee Jin Hwang3, Bo Hyon Yun2, Seung Joo Chon2, Young Sik Choi2, Young Tae Kim2, Byung Seok Lee2, Seok Kyo Seo2 1National Health Insurance Service Ilsan Hospital, Department of Obstetrics and Gynecology, Goyang, Republic of Korea

2Severance Hospital, Yonsei University College of Medicine, Department of Obstetrics and Gynecology, Seoul, Republic of Korea

3Kwandong University College of Medicine, Department of Family Medicine, Goyang, Republic of Korea

Background and aims: This study aims to investigate the effect of renal function on bone mineral density (BMD) and arterial stiff-ness in postmenopausal women.

Methods: This is a retrospective cross-sectional study. We stud-ied 252 postmenopausal women who visited a health promotion center for a medical check-up. The estimated glomerular filtration (eGFR) was calculated by the Cockcroft–Gault (CG) formula and the Modification of Diet in Renal Disease (MDRD) formula. Areal BMD measurements were performed using dual-energy X-ray absorp-tiometry and arterial stiffness was measured by brachial-ankle pulse wave velocity (baPWV).

Results: The eGFR according to the CG formula was significantly correlated with age, body mass index, follicle stimulating hormone, thyroid stimulating hormone, high-density lipoprotein cholesterol, baPWV and BMD at the lumbar spine, femoral neck and total hip

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