scholarly journals Association of High Anti-Cyclic Citrullinated Peptide Seropositivity and Lean Mass Index With Low Bone Mineral Density in Rheumatoid Arthritis

2018 ◽  
Vol 70 (7) ◽  
pp. 961-969 ◽  
Author(s):  
Katherine D. Wysham ◽  
Dolores M. Shoback ◽  
John B. Imboden ◽  
Patricia P. Katz
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Bone Mineral ◽  
Lean Mass ◽  
Mineral Density ◽  
Cyclic Citrullinated Peptide ◽  
Low Bone Mineral Density ◽  
Citrullinated Peptide

scholarly journals Sex differences in frailty and its association with low bone mineral density in rheumatoid arthritis

Bone Reports ◽  
2020 ◽  
Vol 12 ◽  
pp. 100284 ◽  
Author(s):  
Katherine D. Wysham ◽  
Dolores M. Shoback ◽  
James S. Andrews ◽  
Patricia P. Katz
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Sex Differences ◽  
Bone Mineral ◽  
Mineral Density ◽  
Low Bone Mineral Density

Loss of lean body mass affects low bone mineral density in patients with rheumatoid arthritis – results from the TOMORROW study

2017 ◽  
Vol 27 (6) ◽  
pp. 946-952 ◽  
Author(s):  
Tadashi Okano ◽  
Kentaro Inui ◽  
Masahiro Tada ◽  
Yuko Sugioka ◽  
Kenji Mamoto ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Lean Body Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Mineral Density ◽  
Low Bone Mineral Density

scholarly journals Risk of low bone mineral density in patients with rheumatoid arthritis treated with biologics

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Kengo Takahashi ◽  
Takao Setoguchi ◽  
Hiroki Tawaratsumida ◽  
Yoshiya Arishima ◽  
Hiroyuki Tominaga ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Bone Mineral ◽  
Mineral Density ◽  
Low Bone Mineral Density

Performance of Risk Indices for Identifying Low Bone Mineral Density and Osteoporosis in Mexican Mestizo Women with Rheumatoid Arthritis

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 ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Risk Assessment ◽  
Bone Mineral ◽  
Mineral Density ◽  
Mexican Mestizo ◽  
Low Bone Mineral Density ◽  
Specific Risk ◽  
Risk Indices ◽  
Osteoporosis Risk

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.

Sign in / Sign up

Export Citation Format

Share Document