scholarly journals RISK FACTORS OF BONE MINERAL DENSITY DEFICIT AND LOW-ENERGY FRACTURES IN PRIMARY OSTEOPOROSIS IN MEN

Author(s):  
S. S. Rodionova ◽  
U. R. Khakimov

Purpose:to evaluate the role of well-known factors on the formation of bone mineral density (BMD) and risk of fractures in primary osteoporosis in men.Patients and methods.The influence of well-known osteoporosis risk factors such as age, smoking, alcohol consumption, obesity, genetic disorders in genes encoding COL1A1, COL1A2 and VDR-receptor products, history of low-energy fractures in first-line relatives upon the BMD value and risk of fractures was evaluated in 231 patients with primary osteoporosis. All patients were divided into three age groups according to the following forms of osteoporosis: 17-20 years (n=26) – juvenile form, 21-50 (n=103) – idiopathic form, patients over 51 years (n=102). To assess the influence of study factors on the risk of fractures the patients were subdivided into 5 groups according to fracture localization.Results.The relationship between BMD deficit and mutations in homozygous form of gene rs2412298 (encodes collagen), and the tendency to a reliable increase of BMD deficit in L1 – L4 vertebrae under polymorphism in homozygous form of 1800012 gene was noted that might be evidence of their contribution to the development of primary osteoporosis in men. At the same time, smoking, alcohol consumption, age, mutations in homozygous form of gene rs2412298 and a history of low-energy fractures in first-line relatives increased the risk of low-energy fractures of the vertebral bodies and proximal femur.

2018 ◽  
Vol 25 (1) ◽  
pp. 22-29
Author(s):  
Svetlana S. Rodionova ◽  
U. R Khakimov

Purpose: to evaluate the role of well-known factors on the formation of bone mineral density (BMD) and risk of fractures in primary osteoporosis in men. Patients and methods. The influence of well-known osteoporosis risk factors such as age, smoking, alcohol consumption, obesity, genetic disorders in genes encoding COL1A1, COL1A2 and VDR-receptor products, history of low-energy fractures in first-line relatives upon the BMD value and risk of fractures was evaluated in 231 patients with primary osteoporosis. All patients were divided into three age groups according to the following forms of osteoporosis: 17-20 years (n=26) - juvenile form, 21-50 (n=103) - idiopathic form, patients over 51 years (n=102). To assess the influence of study factors on the risk of fractures the patients were subdivided into 5 groups according to fracture localization. Results. The relationship between BMD deficit and mutations in homozygous form of gene rs2412298 (encodes collagen), and the tendency to a reliable increase of BMD deficit in L1 - L4 vertebrae under polymorphism in homozygous form of 1800012 gene was noted that might be evidence of their contribution to the development of primary osteoporosis in men. At the same time, smoking, alcohol consumption, age, mutations in homozygous form of gene rs2412298 and a history of low-energy fractures in first-line relatives increased the risk of low-energy fractures of the vertebral bodies and proximal femur.


Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Malika A Swar ◽  
Marwan Bukhari

Abstract Background/Aims  Osteoporosis (OP) is an extra-articular manifestation of rheumatoid arthritis (RA) that leads to increased fracture susceptibility due to a variety of reasons including immobility and cytokine driven bone loss. Bone loss in other populations has well documented risk factors. It is unknown whether bone loss in RA predominantly affects the femoral neck or the spine. This study aimed to identify independent predictors of low bone mineral density (BMD) in patients RA at the lumbar spine and the femoral neck. Methods  This was a retrospective observational cohort study using patients with Rheumatoid arthritis attending for a regional dual X-ray absorptiometry (DEXA) scan at the Royal Lancaster Infirmary between 2004 and 2014. BMD in L1-L4 in the spine and in the femoral neck were recorded. The risk factors investigated were steroid use, family history of osteoporosis, smoking, alcohol abuse, BMI, gender, previous fragility fracture, number of FRAX(tm) risk factors and age. Univariate and Multivariate regression analysis models were fitted to explore bone loss at these sites using BMD in g/cm2 as a dependant variable. . Results  1,527 patients were included in the analysis, 1,207 (79%) were female. Mean age was 64.34 years (SD11.6). mean BMI was 27.32kg/cm2 (SD 5.570) 858 (56.2%) had some steroid exposure . 169(11.1%) had family history of osteoporosis. fragility fracture history found in 406 (26.6%). 621 (40.7%) were current or ex smokers . There was a median of 3 OP risk factors (IQR 1,3) The performance of the models is shown in table one below. Different risk factors appeared to influence the BMD at different sites and the cumulative risk factors influenced BMD in the spine. None of the traditional risk factors predicted poor bone loss well in this cohort. P129 Table 1:result of the regression modelsCharacteristicB femoral neck95% CIpB spine95%CIpAge at scan-0.004-0.005,-0.003<0.01-0.0005-0.002,0.00050.292Sex-0.094-0.113,-0.075<0.01-0.101-0.129,-0.072<0.01BMI (mg/m2)0.0080.008,0.0101<0.010.01130.019,0.013<0.01Fragility fracture-0.024-0.055,0.0060.12-0.0138-0.060,0.0320.559Smoking0.007-0.022,0.0350.650.0286-0.015,0.0720.20Alcohol0.011-0.033,0.0 5560.620.0544-0.013,0.1120.11Family history of OP0.012-0.021,0.0450.470.0158-0.034,0.0650.53Number of risk factors-0.015-0.039,0.0080.21-0.039-0.075,-0.0030.03steroids0.004-0.023,0.0320.030.027-0.015,0.0690.21 Conclusion  This study has shown that predictors of low BMD in the spine and hip are different and less influential than expected in this cohort with RA . As the FRAX(tm) tool only uses the femoral neck, this might underestimate the fracture risk in this population. Further work looking at individual areas is ongoing. Disclosure  M.A. Swar: None. M. Bukhari: None.


2012 ◽  
Vol 15 (2) ◽  
pp. 9-12
Author(s):  
O V Dobrovol'skaya ◽  
N V Demin ◽  
N V Toroptsova

This study was aimed to evaluate the bone mineral density (BMD) in women at the age of 50 years and older with the his tory of fracture(s) after a low-energy trauma. For this purpose the osteodensitometry of three areas was performed in 173 women with different low-traumatic fractures. Osteoporosis and osteopenia were found in 77% and 21% of patients respectively. Osteoporosis at least in one of three areas was revealed in 80% of women with hip fracture, in 77% of women with wrist fractures, in 73% of patients with humeral fractures, in 86% women after vertebral fractures and in 62% of patients with ankle fractures. Moreover, in these subgroups the osteoporosis in two areas of three was found in 38%, 23%, 30%, 33% and 24% of cases respectively. Osteoporosis in all three areas was detected more frequently in women with wrist fractures (in 39% of cases). The high frequency of osteoporosis in women with the history of low-traumatic fractures argues the need of an adequate antiosteoporotic treatment without mandatory verification of the reduced BMD by the mean of the osteodensitometry.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1344.1-1344
Author(s):  
K. Nassar ◽  
S. Janani

Background:Osteoporosis is a disease that affects bone mineral density (BMD) and bone microarchitecture at the origin of an increased risk of fracture. The reduction in bone density assessed by dual-energy X ray absorptiometry (DXA) and fall history represent the first two risk factors of non-vertebral fracture after menopause. Given the high prevalence of osteoporosis among fallers subjects with common risk factors, causing a surisk of fracture. Several publications including the osteoporosis recommendations indicate DXA in women experienced falls in search of bone fragility may justify a treatment for osteoporosis, especially as the FRAX tool does not include at present the fall of history, an important parameter in the assessment of fracture risk.Objectives:Because of the low attention given to the evaluation of falls’risk, the main objective of the study was to determine the prevalence and the relationship between the past history of fall, reduction of bone mineral density and prevalent fracture.Methods:Transversal and descriptive epidemiological cohort study conducted for 24 months in 448 patients referred by physicians regularly use prescription of BMD. The realization of this exploration by the same DXA-Hologic in the rheumatology department at Ibn Rochd University Hospital was the criterion for entry into the study. All patients were interviewed on the same day on the risk factors for osteoporosis and fractures justifying the prescription of a BMD.Results:Data included 413 women and 35 men. Most women were postmenopausal (89.6%). The average age was 59 years (σ = 13.40), 33.7% were ≥ 65 years. The mean BMI was at 27.50 (σ = 5,2). 18.5% of patients had at least a history of falls in the previous 12 months and 22.5% a history of fracture after a low-energy trauma. 42.9% were osteoporotic and 57.1% had osteopenia in at least one of these sites: lumbar spine, femoral neck, total hip. We did not find significant association between BMD osteoporosis and fall history (p = 0.916). Thus, cases of osteoporosis fractures were not statistically associated with a fall (p = 0.170). Also, the falls were occurring than 18.4% of osteopenic patients (p = 0.220). However, in our study, the fall was an independent risk factor for fracture (p = 0.003) and osteopenic fractures were significantly higher among fallers (p = 0.009 and 0.006 respectively, a drop of history and at least one past fall history).Conclusion:The fall history is a independent risk factor for fracture. This risk is particularly important in case of fragility bone densitometry. The clinical history and fall risk factors should be taken into consideration in the assessment of fracture risk and in the anti-ostoporotique treatment strategy. Thus, the fall seems to be a legitimate indication for DXA and as a parameter to be integrated into the assessment of fracture risk by the FRAX score.References:[1]MH. Edwards, K. Jameson, H. Denison, NC.Harvey, Sayer A. Aihie, EM Dennison, and C Cooper. Clinical risk factors, bone density and fall history in the predection of incident fracture among men and women. Bone. 2013; 52(2): 541–547.Table 1.Multivariate Logistic Regression Results: Adjustment for predictors factors of fallsVariablesOR (95% IC)p-valueAge ≥ 65 ans0,986 (0,412-2,357)0,974Past history of fracture4,271 (1,719-10,611)0,02Walking aid11,214 (2,815-44,670)0,01Vision disturbances8,587 (3,540-20,829)<0,001Rhumatoid arthritis8,047 (2,218-29,192)0,02Diabete3,194 (1,217-8,382)0,018Corticosteroid ≥ 3 mois0,603 (0,156-2,331)0,463Smoking0,241 (0,013-4,518)0,341Ostéopenia (-1 ≤ T-score < -2,5)2,204 (0,875-5,552)0,094Disclosure of Interests:None declared.


2016 ◽  
Vol 8 (11) ◽  
pp. 36 ◽  
Author(s):  
Chander Kumar Lohana ◽  
Nafisa Samir

<p><strong>BACKGROUND: </strong>Postmenopausal females are susceptible to osteoporosis due to clinical manifestations. It not only causes morbidity; but, is considered to strikingly decline quality of life among patients. Among different developing regions, the prevalence rate of osteoporosis among postmenopausal women is alarming in the face of poor management and awareness about its risk factors.</p><p><strong>AIM:</strong> The aim of this study was to investigate the incidence of osteoporosis and its known risk factors among postmenopausal women appearing for bone mineral density in Karachi.</p><p><strong>METHODOLOGY: </strong>This descriptive cross-sectional study was undertaken from the period of “March 2006 to March 2007” in “Aga Khan University hospital”, Karachi. A total of 245 females, who came to the radiology department at Aga Khan Hospital for DXA scan, were recruited. All the relevant data was collected through questionnaires. Data analysis was undertaken by using SPSS version 11.5 to generate frequencies and proportion percentages.</p><p><strong>RESULTS: </strong>The study demonstrated that 99 females (40%) amongst all subjects were osteopenic, 114 females (47%) were osteoporotic; whereas, 32 females (13%) were normal. A decline was observed in bone mineral density with advancing age and duration of menopause. The distribution of osteoporosis was observed to be common in women, who had more children, low BMI, history of prior fractures, history of premature menopause, and were avoiding exercise.</p><p><strong>CONCLUSION:</strong> This study confirmed a high frequency of osteoporosis and osteopenia in postmenopausal women. Therefore, early screening is required to detect the decrease in bone mineral density among postmenopausal females to prevent fragility fracture. There is an imperative requirement for vast public awareness in this regard.</p>


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 296.2-297
Author(s):  
E. Flores-Fernández ◽  
C. Valera-Ribera ◽  
I. Vázquez-Gómez ◽  
A. V. Orenes Vera ◽  
À. Martínez-Ferrer ◽  
...  

Background:Several studies have suggested that multiple sclerosis (MS) patients have low bone mineral density (LBMD) compared to healthy adults of same age. This fact, combined with the functional impairment of the disease, increases the risk of fractures. However, information about the prevalence and the risk factors of LBMD in Spanish patients with MS is still quite limited1–3.Objectives:To evaluate the prevalence of LBMD and low vitamin D in patients with MS from a unique center from the east of Spain, describing the clinical features of these patients.Methods:Type of study: observational, cross-sectional, descriptive. Patients with MS from a local cohort have been consecutively recruited for this study since Apr-2020. A cross-sectional visit which included a clinical interview, analytic test (blood and urine) and a dual-energy X-ray absorptiometry (DXA) was performed. We defined LBMD as T score ≤-1SD in postmenopausal women and men over 50 years and a Z score ≤-2SD in premenopausal women and men under 50 years. Low levels of vitamin D were defined as < 20ng/mL. A descriptive and associative analysis of these data was carried out using the SPSS software.Results:From a cohort of 288 MS patients, due to the COVID-19 pandemia, we have only been able to assess 60 patients, and only 48 out of them have undergone all the tests required. These were 30 women and 18 men, with a mean age of 49 (SD 11,6) years. The main type of MS was relapsing-remiting (77,1%) and 25% of them were not taking any maintenance treatment. Some of the classical factors related to a LBMD are shown in table a1. A 43,8% of the patients had a LBMD and 40,5% had low levels of vitamin D. Despite these results, as far as 89% of patients had never received any specific treatment, not even calcium and/or vitamin D supplementation. Furthermore, 13 patients (27,1%) must have received specific treatment, according to latest guidelines4, and only 4 of them (8,5%) were being adequately treated.Table 1.Women/Men (n)30/18Mean age; SD (years)49; 11,6Non smokers/Smokers (%)58,4/41,7Alcohol abuse (%)8,3Personal history of fracture (%)10,4Personal history of nephrolithiasis (%)14,6Normal/Reduced mobility (%)77,1/22,9Sedentary lifestyle (%)66,7Conclusion:These preliminary results show that almost half of the MS patients have LBMD and a low vitamin D, most of them without taking any specific treatment. Taking this in mind, it is necessary to integrate the early diagnosis of LBMD in MS patients, working together with neurologists, to prevent the appearance of fractures and protect the quality of life of these patients. An analysis of our whole cohort of MS patients will help us in correctly assessing the magnitude of this problem.References:[1]López Méndez P, Sosa Henríquez M. Vitamin D and multiple sclerosis. Prevalence of hypovitaminosis D. Rev Osteoporos y Metab Miner. 2015;7(2):71-78.[2]Gupta S, Ahsan I, Mahfooz N, Abdelhamid N, Ramanathan M, Weinstock-Guttman B. Osteoporosis and multiple sclerosis: Risk factors, pathophysiology, and therapeutic interventions. CNS Drugs. 2014;28(8):731-742.[3]Moen S, E.Celius, L S, L N, E E, T H. Low bone mass in newly diagnosed multiple sclerosis and clinically isolated syndrome. Neurology. 2011;77(2):151-157.[4]Lems WF, Dreinhöfer KE, Bischoff-Ferrari H, et al. EULAR/EFORT recommendations for management of patients older than 50 years with a fragility fracture and prevention of subsequent fractures. Ann Rheum Dis. 2017;76(5):802-810.Disclosure of Interests:None declared


2021 ◽  
Vol 14 (2) ◽  
pp. 155-165
Author(s):  
Arjun Bharat Mahadik ◽  
Ashok Bhimrao Giri ◽  
Akshay Sonaji Bhambre ◽  
Swapnil Ashok Mundhe ◽  
Ramdas D. Shinde

Osteoporosis is a major public health threat in this 21st century. It has high prevalence among postmenopausal women & elder patients (age > 60 years). It is a skeletal disorder characterized by compromised bone strength and suffer having greater chances of fractures. Osteoporosis is a condition where bones became weak & brittle that may increase chances of fracture in the patients. According to the WHO criteria, osteoporosis is defined as a bone mineral density (BMD) that lies 2.5 standard deviations or more below the average value for young healthy women (a T-score of <-2.5 SD). Osteoporosis is occurs due to too much bone mineral density is decreased that results into the changes in the structure of bone. Etiological factors includes advanced age, sex (women > male), sedentary lifestyle, minimal/ absence of sun exposure, smoking, alcohol consumption, hormonal imbalance and disease conditions such as diabetes, malignancies (multiple myeloma, lymphoma, leukemia). The diagnosis of condition must be confirmed by using spine dual energy X- ray absorptiometry (DXA) with WHO T-score thresholds. Osteopenia or low bone mass is having T-score of –1 to -2.4 & on the basis of T score, it will be classified in to two types that is primary and secondary osteoporosis. Primary osteoporosis more common in disease such as postmenopausal osteoporosis (type1) and senile osteoporosis (type2). It has severe morbid consequences, the prevention and management of this condition and associated fractures is considered to the essential to the maintenance of health status or quality of life (QoL) of patient. Patient can prevent to suffer from this condition by applying various tools of lifestyle medicines i.e. staying physically active or doing weight bearing exercises. Smoking cessation, moderate alcohol consumption are also became major approaches to manage or prevent occurrence of condition. Nutritious diet rich in calcium, vitamin D, Vitamin A, Vitamin C and other nutrition also play a key role in the management or prevention of disease.


2015 ◽  
Vol 8 (7) ◽  
pp. 135 ◽  
Author(s):  
Marzieh Saei Ghare Naz ◽  
Giti Ozgoli ◽  
Mir Amir Aghdashi ◽  
Fatemeh Salmani

<p><strong>BACKGROUND: </strong>Osteoporosis is one of the fastest growing health problems around the world. Several factors can affect this silent disease. The current study aimed to determine the prevalence and risk factors of osteoporosis in women in Urmia, a city in northwestern Iran.</p><p><strong>METHODS: </strong>This cross‑sectional study was performed on 360 non-pregnant women over the age of 15 who referred for bone density testing to the Urmia Imam Khomeini Academic Hospital. Data were collected by questionnaire, and bone mineral density of the femoral neck and lumbar spines L1- L4 was evaluated by dual X-ray absorptiometry.</p><p><strong>RESULTS:</strong> The total prevalence of osteoporosis in this study was 42.2%; prevalence of osteoporosis among women 45 years old or less was 14.3% and over the age of 45 years was 50.7%. The factors such as level of education, history of bone fracture, disease history (rheumatoid arthritis, diabetes, high blood pressure), gravidity and parity values, duration of lactation (p&lt;0.001), nutrition dimension of lifestyle (p=0.03), and green tea consumption (p=002) showed a statistically significant association with the bone mineral density. According to the regression model, age (OR=1.081), history of bone fracture (OR=2.75), and gravidity (OR=1.14) were identified as significant risk factors for osteoporosis, while the body mass index (OR=0.94) was identified as a protector against osteoporosis.</p><p><strong>CONCLUSION: </strong>The prevalence of osteoporosis in this study was high, and findings showed that the advancement of age, lifestyle, and reproductive factors (especially gravidity and duration of lactation) were determining factors for osteoporosis .Appropriate educational programs and interventions could help to increase the women’s peak bone mass therefore reducing their risk of developing osteoporosis.</p>


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