Risk assessment and screening for low bone mineral density in a multi-ethnic population of women and men: does one approach fit all?

2004 ◽  
Vol 15 (5) ◽  
pp. 349-360 ◽  
Author(s):  
Danielle L. Broussard ◽  
Jeanette H. Magnus
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.


2019 ◽  
Vol 3 (s1) ◽  
pp. 36-36
Author(s):  
Lauren Frances Collins ◽  
Anandi Sheth ◽  
Caitlin Moran ◽  
Laura Ward ◽  
Kehmia Titanji ◽  
...  

OBJECTIVES/SPECIFIC AIMS: Persons living with HIV (PLWH) are at increased risk for fragility bone disease. Current osteoporosis screening guidelines do not account for HIV status, and clinical risk assessment tools are not sensitive in PLWH. We examined the value of traditional osteoporosis risk factors, HIV-specific indices, and bone turnover biomarkers in predicting low bone mineral density (BMD) in PLWH. METHODS/STUDY POPULATION: Demographic and clinical characteristics, dual energy x-ray absorptiometry (DXA)-derived BMD, HIV indices (viral load, CD4 count, antiretroviral therapy [ART]), and biomarkers of bone turnover (C-terminal telopeptide of collagen [CTx], osteocalcin [OCN]) were evaluated in a cross-sectional analysis of PLWH (n=248) and HIV- controls (n=183). The primary outcome was low BMD, defined as osteopenia or osteoporosis by WHO criteria. Multivariable logistic and modified Poisson regression models were used to assess associations between low BMD and covariates of interest. RESULTS/ANTICIPATED RESULTS: Overall, median age was 44 years, 48% were male, 88% were black, median body mass index (BMI) was 28 kg/m2, 72% smoked cigarettes, and 53% used alcohol; characteristics did not differ by HIV status. PLWH had a mean CD4 of 408 cells/mm3, 55% were ART-naïve, and 45% had viral suppression on ART. Overall, 25% (109/431) had low BMD, including 31% of PLWH compared to 16% of HIV- controls. In multivariable models, HIV was significantly associated with low BMD (aOR 2.46, 95%CI 1.39-4.34; aRR 1.90, 95%CI 1.18-3.07). Adjusting for HIV, three traditional risks– age, race, and BMI– were independently associated with low BMD in the full cohort. However, bone turnover markers, CTx and OCN, were better able to discriminate low vs. normal BMD in PLWH compared to HIV- controls. In PLWH, mean serum CTx was 23% higher in low vs. normal BMD (mean CTx difference=0.06 ug/mL); in HIV- controls, no association with BMD was observed (mean CTx difference=0 ug/mL). In PLWH, mean serum OCN was 38% higher in those with low vs. normal BMD (mean OCN difference=2.48 ug/mL); in HIV- controls, mean serum OCN was only 16% higher in those with low vs. normal BMD (mean OCN difference=1.08 ug/mL). DISCUSSION/SIGNIFICANCE OF IMPACT: In PLWH as opposed to HIV- controls, serum biomarkers reflecting a high bone turnover state, may discriminate individuals with low versus normal BMD. Because changes in biomarkers precede changes in BMD, these markers should be explored further either alone or in combination with traditional risk assessment tools to improve early screening for osteoporosis in PLWH.


2013 ◽  
Author(s):  
Sonia Munoz Gil ◽  
Tomas Mut Dolera ◽  
Belen C Garrido Lopez ◽  
M D Torregrosa Maicas ◽  
R Girones Sarrio ◽  
...  

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