scholarly journals Performance of FRAX in Predicting Fractures in US Postmenopausal Women with Varied Race and Genetic Profiles

2020 ◽  
Vol 9 (1) ◽  
pp. 285 ◽  
Author(s):  
Qing Wu ◽  
Xiangxue Xiao ◽  
Yingke Xu
Keyword(s):  
African American ◽  
African American Women ◽  
Postmenopausal Women ◽  
Assessment Tool ◽  
Genetic Risk Score ◽  
Fracture Probability ◽  
Genetic Profile ◽  
Mineral Density ◽  
Frax Score ◽  
Whi Study

Background: Whether the Fracture Risk Assessment Tool (FRAX) performed differently in estimating the 10-year fracture probability in women of different genetic profiling and race remained unclear. Methods: The genomic data in the Women’s Health Initiative (WHI) study was analyzed (n = 23,981). The genetic risk score (GRS) was calculated from 14 fracture-associated single nucleotide polymorphisms (SNPs) for each participant. FRAX without bone mineral density (BMD) was used to estimate fracture probability. Results: FRAX significantly overestimated the risk of major osteoporotic fracture (MOF) in the WHI study. The most significant overestimation was observed in women with low GRS (predicted/observed ratio (POR): 1.61, 95% CI: 1.45–1.79) specifically Asian women (POR: 3.5, 95% CI 2.48–4.81) and in African American women (POR: 2.59, 95% CI: 2.33–2.87). Compared to the low GRS group, the 10-year probability of MOF adjusted for the FRAX score was 21% and 30% higher in the median GRS group and high GRS group, respectively. Asian, African American, and Hispanic women respectively had a 78%, 76%, and 56% lower hazard than Caucasian women after the FRAX score was adjusted. The results were similar for hip fractures. Conclusions: Our study suggested the FRAX performance varies significantly by both genetic profile and race in postmenopausal women.

scholarly journals Performance of FRAX in predicting fracture in the US postmenopausal women with varied race and genetic profiles

2020 ◽  
Author(s):  
Qing Wu ◽  
Xiangxue Xiao ◽  
Yingke Xu
Keyword(s):  
African American ◽  
African American Women ◽  
Postmenopausal Women ◽  
Assessment Tool ◽  
Genetic Risk Score ◽  
Fracture Probability ◽  
Nucleotide Polymorphisms ◽  
Mineral Density ◽  
Genetic Profiling ◽  
Frax Score

AbstractBackgroundWhether the Fracture Risk Assessment Tool (FRAX) performed differently in estimating the 10-year fracture probability in women of different genetic profiling and race remained unclear.MethodsThe genomic data in the Women’s Health Initiative study was analyzed (n=23,981). the genetic risk score (GRS) was calculated from 14 fracture-associated single nucleotide polymorphisms (SNPs) for each participant. FRAX without bone mineral density (BMD) was used to estimate fracture probability.ResultsFRAX significantly overestimated the risk of major osteoporotic fracture (MOF) in the WHI study. The most enormous overestimation was observed in women with low GRS (predicted/observed ratio [POR]: 1.61, 95% CI: 1.45-1.79), in Asian women (POR: 3.5, 95% CI 2.48-4.81), and in African American women (POR: 2.59, 95% CI: 2.33-2.87). Compared to the low GRS group, the 10-year probability of MOF adjusted for the FRAX score was 21% and 30% higher in median GRS group and high GRS group, respectively. Asian, African American, and Hispanic women respectively had a 78%, 76%, and 56% lower hazard than Caucasian women after the FRAX score was adjusted for. The results were similar when for hip fractures.ConclusionsOur study suggested the FRAX performance varies significantly by both genetic profiling and race in postmenopausal women.

scholarly journals Evaluating the performance of the WHO international reference standard for osteoporosis diagnosis in postmenopausal women of varied polygenic score and race

2020 ◽  
Author(s):  
Qing Wu ◽  
Xiangxue Xiao ◽  
Yingke Xu
Keyword(s):  
African American ◽  
African American Women ◽  
Postmenopausal Women ◽  
World Health ◽  
Nucleotide Polymorphisms ◽  
Mineral Density ◽  
Genetic Profiling ◽  
Polygenic Score ◽  
T Score ◽  
Caucasian Women

AbstractBackgroundWhether the bone mineral density (BMD) T-score performs differently in osteoporosis classification in women of different genetic profiling and race background remains unclear.MethodsThe genomic data in the Women’s Health Initiative study was analyzed (n=2,417). The polygenic score (PGS) was calculated from 63 BMD-associated single nucleotide polymorphisms (SNPs) for each participant. The World Health Organization’s (WHO) definition of osteoporosis (BMD T-score≤-2.5) was used to estimate the cumulative incidence of fracture.ResultsT-score classification significantly underestimated the risk of major osteoporotic fracture (MOF) in the WHI study. An enormous underestimation was observed in African American women (POR: 0.52, 95% CI: 0.30-0.83) and in women with low PGS (predicted/observed ratio [POR]: 0.43, 95% CI: 0.28-0.64). Compared to Caucasian women, African American, African Indian, and Hispanic women respectively had a 59%, 41%, and 55% lower hazard of MOF after the T-score was adjusted for. The results were similar when used for any fractures.ConclusionsOur study suggested the BMD T-score performance varies significantly by race in postmenopausal women.

scholarly journals Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race

2020 ◽  
Vol 9 (2) ◽  
pp. 499 ◽  
Author(s):  
Qing Wu ◽  
Xiangxue Xiao ◽  
Yingke Xu
Keyword(s):  
African American ◽  
African American Women ◽  
Postmenopausal Women ◽  
World Health ◽  
Nucleotide Polymorphisms ◽  
Mineral Density ◽  
Genetic Profiling ◽  
Polygenic Score ◽  
T Score ◽  
Health Organization

Background: Whether the bone mineral density (BMD) T-score performs differently in osteoporosis classification in women of different genetic profiling and race background remains unclear. Methods: The genomic data in the Women’s Health Initiative study was analyzed (n = 2417). The polygenic score (PGS) was calculated from 63 BMD-associated single nucleotide polymorphisms (SNPs) for each participant. The World Health Organization′s (WHO) definition of osteoporosis (BMD T-score ≤ −2.5) was used to estimate the cumulative incidence of fracture. Results: T-score classification significantly underestimated the risk of major osteoporotic fracture (MOF) in the WHI study. An enormous underestimation was observed in African American women (POR: 0.52, 95% CI: 0.30–0.83) and in women with low PGS (predicted/observed ratio [POR]: 0.43, 95% CI: 0.28–0.64). Compared to Caucasian women, African American, African Indian, and Hispanic women respectively had a 59%, 41%, and 55% lower hazard of MOF after the T-score was adjusted for. The results were similar when used for any fractures. Conclusions: Our study suggested the BMD T-score performance varies significantly by race in postmenopausal women.

Longitudinal Study of Changes in Hip Bone Mineral Density in Caucasian and African-American Women

2005 ◽  
Vol 53 (2) ◽  
pp. 183-189 ◽  
Author(s):  
Jane A. Cauley ◽  
Li-Yung Lui ◽  
Katie L. Stone ◽  
Teresa A. Hillier ◽  
Joseph M. Zmuda ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
African American ◽  
Longitudinal Study ◽  
African American Women ◽  
Bone Mineral ◽  
Mineral Density ◽  
American Women

scholarly journals Bone Mineral Density as a Predictor of Atherosclerosis and Arterial Wall Stiffness in Obese African-American Women

2012 ◽  
Vol 2 (4) ◽  
pp. 328-334 ◽  
Author(s):  
Samy I. McFarlane ◽  
Ghazanfar Qureshi ◽  
Gagandeep Singh ◽  
Kinda Venner-Jones ◽  
Louis Salciccioli ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
African American ◽  
African American Women ◽  
Bone Mineral ◽  
Arterial Wall ◽  
Mineral Density ◽  
American Women ◽  
Wall Stiffness

scholarly journals A randomized clinical trial on improving osteopenia in postmenopausal women after two years of preventive treatment with alendronate; a dose of 35 mg per week is more effective or a dose of 70 mg?

2020 ◽  
Vol 5 (1) ◽  
pp. e16-e16
Author(s):  
Mansoor Karimifar ◽  
Negar Botlani ◽  
Amirhossein Salari
Keyword(s):  
Clinical Trial ◽  
Postmenopausal Women ◽  
Randomized Clinical Trial ◽  
Assessment Tool ◽  
Preventive Treatment ◽  
Weekly Dose ◽  
Mineral Density ◽  
Main Complaint ◽  
Gastrointestinal Problems ◽  
Significant Difference

Introduction: Osteoporosis is the most common metabolic bone disease worldwide. In this disease, the bone mass decreases and as it progresses, the risk of fracture increases. Osteopenia occurs in the early stages of bone loss. Studies on the effective dose for treatment of osteopenia have been controversial. Objectives: In this randomized clinical trial, low doses versus high doses of alendronate were assessed during the osteopenic stage in postmenopausal women. Patients and Methods: The present study is a randomized clinical trial (RCT) that was performed on 152 postmenopausal women who were visited in Al-Zahra rheumatology clinic between 2016 and 2017. Patients were randomly divided into two groups. The first group with 35 and the second group with 70 mg of weekly alendronate were treated and followed for two years. Densitometry was performed on patients before and 2 years after the intervention, and the findings were compared. Results: The two groups were not significantly different in terms of age, gender, height, weight, body mass index (BMI) and menopause (P>0.05). The bone mineral density (BMD) findings of both groups, including Fracture Risk Assessment Tool (FRAX) hip and vertebra/wrist, T-score hip and vertebrae, as well as Z-score hip and vertebrae, improved significantly after two years (P<0.001), However, a comparison of the two therapeutic doses did not show a significant difference in terms of BMD improvements (P>0.05). Conclusion: The findings of this study reported favorable results for the preventive treatment of alendronate in osteopenic women. In addition, due to gastrointestinal problems that are the main complaint of alendronate use, according to the results, a weekly dose of 35 mg can be recommended

Body Mass Index can be a Good Predictor of Bone Mineral Density in Postmenopausal Women in India

2014 ◽  
Vol 3 (4) ◽  
pp. 276
Author(s):  
Biplob Chowdhury ◽  
Brajanath Kundu
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Body Weight ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Bone Mineral ◽  
Assessment Tool ◽  
Negative Impact ◽  
Mineral Density ◽  
Women In India

Risk factors for the prediction of osteoporosis are an important and cost effective method since osteoporosis is a silent disease. The purpose of the study was to evaluate the associations between weight, body mass index (BMI), the Osteoporosis Self-Assessment Tool (OST), and bone mineral density (BMD) in postmenopausal women in India. In this cross sectional study, 90 postmenopausal women aged 45–85 years who had given consent participated and the study was conducted between April, 2012 and May, 2013. BMD was measured by ultrasound bone densitometry at calcaneal site. Linear regression multivariate models were used to examine the associations with weight, BMI, OST, and BMD. Body weight, BMI, and OST had almost similar overall performance in their ability to classify women with BMD T-score ≤−2.5. Regression results showed that the linear combination of three independent variables BMI, OST and body weight. BMI predicted 65.7% of the variance in BMD, <em>R</em><sup>2</sup> = .657, <em>R</em><em><sup>2</sup></em><sup> </sup>adjusted = .609, (F=21.295, p&lt;.000). The strongest predictor of low BMD was BMI. BMI showed significant association with BMD with a correlation of .846. Low weight and BMI predict osteoporosis and are associated with increased risks in postmenopausal women. The negative impact of low body weight on bone health should be more widely recognized.

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