Osteoporosis is the fourth most common disease after cardiovascular, cancer and endocrine diseases. With an increase in life expectancy, it becomes one of the main causes of deterioration in health and an increase in mortality. The aim of the study. To identify women with low bone density using ultrasound densitometry and assess the risk of osteoporotic fractures. Materials and methods. The study was based on a survey of 31 women in the Odessa region, the average age of the subjects was 57±9.1 years, the average body weight was 75.74±12.5 kg, height 162.8±0.1 cm, the average BMI was 28.57±4.5. All women were divided into groups by age with a ten-year interval and by densitometry indices. Results. Decrease in bone density was found in 51.6 % of examined women. The lowest BMD was in the age group of 70–79 years, and the largest numbers of respondents with osteopenic changes were at the age of 50–59. A linear correlation was found between BMD and age at the level of significance p=0.007. The linear regression equation is: t=-0.03968 *age+1.268, (r=-0.473). In women with osteopenia, a significant increase in indicators was found for almost all algorithms for assessing the 10-year risk of fractures at p<0.05 (except for FRAX Hiр without BMD (p=0.087)) and a significant decrease in ultrasound densitometry indicators compared with women with normal BMD. Women with fractures had significantly higher scores according to the FRAX Total algorithms without BMD (p=0.002), FRAX Hiр without BMD (p=0.004) and Q-fracture Hiр (p=0.044). Conclusions. Most women had osteopenic manifestations according to ultrasound densitometry. Age significantly correlates with BMD parameters. The numbers of women with changes in the structure of bone tissue increases with age, and, after 70 years, all women have osteopenic manifestations. The algorithms for assessing the 10-year risk of fractures FRAX and Q-Fracture reliably correlate with densitometry indicators. The combination of ultrasound densitometry with algorithms for assessing the risk of osteoporotic fractures significantly increases the diagnosis of osteoporosis
Object of research: Women in whom the risk of osteoporotic fractures was assessed using the FRAX, Q-Fracture algorithms, and the risk factors for osteoporosis and their role in the development of osteoporotic fractures were studied. Investigated problem: the use of various algorithms in the practice of a family doctor to assess the 10-year risk of osteoporotic fractures. Main scientific results: A decrease in bone mineral density was found in 51.4 % of the surveyed women, of whom osteopenia was in 48.7 %, osteoporosis in 2.9 % of women. The risk of fractures according to all algorithms was higher in women of the age group 70–79 years: FRAX Total – 8.87±3.2, FRAX Hip – 4.03±3.1, Q fracture total – 12.87±1.5, Q fracture Hip – 7.97±2.7, FRAX Total without BMD – 11.9±5.5, FRAX Hip without BMD – 6.3±4.8. Age correlates negatively with the T score (r=–0.47, p=0.007) and positively with the FRAX Total algorithms without BMD (r=–0.47, p=0.003), FRAX Hip without BMD (r=0.78, p=0.006), Q fracture total (r=0.86, p=0.007), Q fracture Hip (r=0.92, p=0.008), FRAX Hip with BMD (r=0.55, p=0.009). No statistically significant difference was found with FRAX Total with BMD (r=0.21, p=0.345). Risk factors: 14.3 % of women had fractures of various localization; fractures in parents were noted by 37.1 % of respondents; a decrease in height by 3 cm during life occurred in 13.3 %. Early menopause (up to 45 years old) occurred in 11.4 % of women. Physical activity less than 30 minutes a day was noted by 68.6 %. The area of practical use of the research results: the primary level of medical care. Innovative technological product: early identification of risk factors for osteoporosis and calculation of the risk of fractures will reduce the medical and social consequences of complications in osteoporosis. Scope of application of the innovative technological product: in the clinical practice of general practitioners.
Osteoporosis is the fourth most common after cardiovascular, cancer and endocrine diseases. According to WHO experts, due to the aging population and the impact of negative environmental factors, the incidence of osteoporosis will increase further. The objective: determining the relationship between ultrasound densitometry data on the heel cyst and the risk of fractures in older women from different regions of the country. Materials and methods. The study was based on a survey of women in major cities of Ukraine – Kyiv, Kharkiv, Odessa. 116 women aged 40 to 79 years were included. The average age of the subjects was 56±9,62 years, the average body weight was 74,5±12,9 kg, height 163,1±5,62 cm, the average body mass index (BMI) was 28±4,90. Normal (BMI) 20–24,9 had 35 women (30,2%), rates of preobesity and clinical obesity were in 81 surveyed women (69,8%). All subjects were divided into 4 groups by age: 40–49 years, 50–59 years, 60–69 years, 70–79 years. Results. Decrease in bone mineral density was found in 59,5% of examined women, of which osteopenia was in 57%, osteoporosis in 2,5% of women, the norm in 40,5% of women. The number of women with low BMD increased with age. Analyzing the risk factors in women after 40 years revealed a high incidence of hypertension 40,5%, the frequency of previous fractures in the anamnesis was 22,% of respondents, fractures of the femur and other fractures in parents noted 33,6% of women, a decrease in growth by 3 cm during life occurred in 13,7%, early menopause (up to 45 years) in 16,3% of women. Physical activity less than 30 minutes a day was noted by 27,5%. The risk of FRAX and Q-fracture fractures is significantly correlated with densitometry. Conclusions. Early detection of osteoporosis risk factors in the practice of a family doctor will help prevent an epidemic of this disease in our country and will prevent negative medical and social consequences. All of the above should be considered for planning preventive measures for osteoporosis and its complications, as well as for subsequent diagnostic steps for early detection of the disease.
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