Identification and Fracture Outcomes of Undiagnosed Low Bone Mineral Density in Postmenopausal Women: Results From the National Osteoporosis Risk Assessment

2002 ◽  
Vol 57 (4) ◽  
pp. 220-221 ◽  
Author(s):  
Ethel S. Siris ◽  
Paul D. Miller ◽  
Elizabeth Barrett-Connor ◽  
Kenneth G. Faulkner ◽  
Lois E. Wehren ◽  
...  
2011 ◽  
Vol 39 (2) ◽  
pp. 247-253 ◽  
Author(s):  
LAURA GONZALEZ-LOPEZ ◽  
JORGE I. GAMEZ-NAVA ◽  
ANAHI VEGA-LOPEZ ◽  
N. ALEJANDRA RODRIGUEZ-JIMENEZ ◽  
NORMA GONZALEZ-MONTOYA ◽  
...  

Objective.We evaluated the utility of 6 generic and 2 specific risk indices for identifying low bone mineral density (BMD) or osteoporosis in women with rheumatoid arthritis (RA); and their correlation with 10-year probability of fractures as assessed with the World Health Organization fracture risk assessment (FRAX) tool.Methods.Mexican Mestizo women with RA were evaluated in this cross-sectional study using 6 generic indices [Simple Calculated Osteoporosis Risk Estimation (SCORE); Osteoporosis Risk Assessment Instrument (ORAI); Osteoporosis Self-Assessment Tool; Age, Body Size, No Estrogen; Osteoporosis Index of Risk (OSIRIS); and Guidelines of the US National Osteoporosis Foundation], 2 specific indices (Amsterdam and modified Amsterdam), and FRAX. BMD results on dual-energy x-ray absorptiometry (DEXA) at the lumbar spine and femoral neck were considered the “gold standard.” Sensitivity, specificity, and predictive values (PV) of the indices and their correlations with FRAX results were estimated.Results.Among 191 patients, 46 had osteoporosis (24.1%) and 119 had low BMD (62.3%). For predicting osteoporosis, SCORE showed the highest sensitivity (96%), whereas OSIRIS (87%) and ORAI (82%) showed the highest specificities. OSIRIS also had the greatest positive PV (92%). The specific indices had low sensitivity and low specificity (Amsterdam, 50% and 79%, respectively; modified Amsterdam, 56% and 70%). All the indices had a low but significant correlation with FRAX.Conclusion.These findings support the use of some generic indices to identify patients with RA who should undergo DEXA testing. Currently available specific indices did not perform satisfactorily. New specific risk indices for osteoporosis in RA should be developed to increase sensitivity and specificity for predicting osteoporosis.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liang Zhang ◽  
Xin Yin ◽  
Jingcheng Wang ◽  
Daolinag Xu ◽  
Yongxiang Wang ◽  
...  

Editor's Note: this Article has been retracted; the Retraction Note is available at https://doi.org/10.1038/s41598-021-88654-1.


2020 ◽  
Author(s):  
Jie-Yu Liu ◽  
Jia-Xiang Wang ◽  
Li Xu ◽  
Shu-Feng Lei ◽  
Fei-Yan Deng

AbstractOsteoporosis is a systemic chronic skeletal disease, which is characterized by low bone mineral density (BMD) and increased risk to osteoporotic fractures (OFs). OFs are associated with high mortality and morbidity, and seriously affect the life quality of patients. Osteoporosis is prevalent in the middle-aged and elderly population, especially the postmenopausal women. With population aging, osteoporosis becomes a world-wide serious public health problem. Early recognition of the high-risk population followed by timely and efficient intervention and/or treatment is important for preventing OFs. In light of the high heritability and complex pathogenesis of OP, comprehensive consideration of significant biological/biochemical factors is necessary for accurate risk evaluation. For this purpose, we reviewed recent research progress on moleculars which are diagnostic and/or predictive of OFs risk. Future integrative analyses and systematic evaluation of these moleculars may facilitate developing novel methodologies and/or test strategies, i.e., biochips, for early recognition of osteoporosis, hence to contribute to preventing OFs in the world.Graphical AbstractOsteoporosis, which is characterized by low bone mineral density (BMD) and increased risk to osteoporotic fractures (OFs), is prevalent in the middle-aged and elderly population, especially in the postmenopausal women. We focused on several types of important molecules, including proteins/peptides, RNAs, lipids, to gain comprehensive understanding and to generate novel perspectives in predicting and diagnosing OFs.


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