AB0256 Risk factors associated with generalized bone loss in patients with rheumatoid arthritis: retrospective longitudinal study.

2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A864.4-A865
Author(s):  
S. Mizuki ◽  
T. Murakami ◽  
K. Oryoji ◽  
K. Kamada ◽  
E. Yokota
2019 ◽  
Vol 41 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Hamdi Wafa ◽  
Alaya Raja ◽  
Kaffel Dhia ◽  
Boughanmi Nada ◽  
Zouche Imene ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhuoran Hu ◽  
Lei Zhang ◽  
Zhiming Lin ◽  
Changlin Zhao ◽  
Shuiming Xu ◽  
...  

Abstract Background To explore the prevalence of bone loss among patients with rheumatoid arthritis (RA) and healthy controls (HC) and further explored the risk factors for osteopenia and osteoporosis of RA patients. Methods A cross-sectional survey was undertaken in four hospitals in different districts in South China to reveal the prevalence of bone loss in patients. Case records, laboratory tests, and bone mineral density (BMD) results of patients were collected. Traditional multivariable logistic regression analysis and two machine learning methods, including least absolute shrinkage selection operator (LASSO) and random forest (RF) were for exploring the risk factors for osteopenia or osteoporosis in RA patients. Results Four hundred five patients with RA and 198 HC were included. RA patients had lower BMD in almost BMD measurement sites than healthy controls; the decline of lumbar spine BMD was earlier than HC. RA patients were more likely to comorbid with osteopenia and osteoporosis (p for trend < 0.001) in the lumbar spine than HC. Higher serum 25-hydroxyvitamin D3 level and using tumor necrosis factor inhibitor in the last year were protective factors; aging, lower body mass index, and increased serum uric acid might be risk factors for bone loss. Conclusions RA patients were more prone and earlier to have bone loss than HC. More attention should be paid to measuring BMD in RA patients aging with lower BMI or hyperuricemia. Besides, serum vitamin D and all three measurement sites are recommended to check routinely. TNFi usage in the last year might benefit bone mass.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 475.2-476
Author(s):  
A. Osailan

Background:People with rheumatoid arthritis (RA) are at high risk for cardiovascular diseases (CVD) and CVD mortality. Reduced Chronotropic response (CR), which produces exercise intolerance, is known as a contributing factor to CVD and mortality. Studies have shown that people with RA have reduced CR. However, knowledge about the factors associated with CR in people with RA is limited.Objectives:To explore the factors associated with CR including CVD risk factors, inflammatory markers and cardiorespiratory fitness (VO2 peak).Methods:106 people with RA completed a treadmill exercise tolerance test while heart rate (HR) was monitored via 12 leads ECG. CR was defined as the percentage of [(achieved peak HR minus resting HR) divided by (age-predicted maximum HR minus resting HR)]. Serological CVD risk factors and inflammatory markers including lipids profile, markers of insulin resistance and sensitivity (HOMA, QUICKi), high sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate (ESR), fibrinogen and white blood cells (WBC) were examined via a fasted blood sample. VO2 peak was assessed via breath-by-breath gas analysis.Results:34% had reduced CR based on the cut-off value (≤ 80%) and the average CR was 86.2 ± 21%. Body mass index (r=-0.33, p=.001), HOMA (r=-0.26, p=.009), hsCRP (r=-0.23, p=.02), ESR (r=-0.21, p=.04), fibrinogen (r=-0.2, p=.05), WBC (r=-0.21, p=.04) were inversely associated with CR, whereas, high density lipoprotein (HDL) (r=0.43, p<.001), QUICKi (r=0.31, p=.002), and VO2 peak (r=0.4, p<.001) were positively associated with CR. When all the variables were entered into a stepwise linear regression, HDL (p<.001) and VO2 peak (p=.009) were independently associated with CR.Conclusion:The current findings suggest that CR in RA was associated with many CVD risk factors, inflammatory markers, and cardiorespiratory fitness. Among all the varibales, HDL and cardiorespiratory fitness were moderately and independently associated with CR. Future studies should investigate the effect of improving these associated variables on CR in people with RA via exercise training programes.Acknowledgements:Thanks to physical activity in Rheumatoid arthritis research team and Research department in Dudley Hospital. Sincere appreciation and gratitude to Dr Jet Veldhuizen van Zanten, Prof. Joan Duda, and Prof. George Kitas from the University of Birmingham and Prof. George Metsios from the University of Wolverhampton.Disclosure of Interests:None declared


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&lt;0.01-0.0005-0.002,0.00050.292Sex-0.094-0.113,-0.075&lt;0.01-0.101-0.129,-0.072&lt;0.01BMI (mg/m2)0.0080.008,0.0101&lt;0.010.01130.019,0.013&lt;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.


2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 960.3-961
Author(s):  
H. Kikuchi ◽  
W. Shimada ◽  
M. Kamiya ◽  
S. Sohen ◽  
N. Okada

Author(s):  
Erica Figgins ◽  
Yun-Hee Choi ◽  
Mark Speechley ◽  
Manuel Montero-Odasso

Abstract Background Gait speed is a strong predictor of morbidity and mortality in older adults. Understanding the factors associated with gait speed and the associated adverse outcomes will inform mitigation strategies. We assessed the potentially modifiable and nonmodifiable factors associated with gait speed in a large national cohort of middle and older-aged Canadian adults. Methods We examined cross-sectional baseline data from the Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort. The study sample included 20 201 community-dwelling adults aged 45–85 years. The associations between sociodemographic and anthropometric factors, chronic conditions, and cognitive, clinical, and lifestyle factors and 4-m usual gait speed (m/s) were estimated using hierarchical multivariable linear regression. Results The coefficient of determination, R  2, of the final regression model was 19.7%, with 12.9% of gait speed variability explained by sociodemographic and anthropometric factors, and nonmodifiable chronic conditions and 6.8% explained by potentially modifiable chronic conditions, cognitive, clinical, and lifestyle factors. Potentially modifiable factors significantly associated with gait speed include cardiovascular conditions (unstandardized regression coefficient, B = −0.018; p &lt; .001), stroke (B = −0.025; p = .003), hypertension (B = −0.007; p = .026), serum Vitamin D (B = 0.004; p &lt; .001), C-reactive protein (B = −0.005; p = .005), depressive symptoms (B = −0.003; p &lt; .001), physical activity (B = 0.0001; p &lt; .001), grip strength (B = 0.003; p &lt; .001), current smoking (B = −0.026; p &lt; .001), severe obesity (B = −0.086; p &lt; .001), and chronic pain (B = −0.008; p = .018). Conclusions The correlates of gait speed in adulthood are multifactorial, with many being potentially modifiable through interventions and education. Our results provide a life-course-perspective framework for future longitudinal assessments risk factors affecting gait speed.


2019 ◽  
Vol 39 (2) ◽  
pp. 357-364 ◽  
Author(s):  
Jing-jing Tong ◽  
Sheng-qian Xu ◽  
He-xiang Zong ◽  
Mei-juan Pan ◽  
Yu-zhu Teng ◽  
...  

2019 ◽  
Vol 32 (9) ◽  
pp. 1120-1132 ◽  
Author(s):  
Hai Nguyen ◽  
Kia-Chong Chua ◽  
Alexandru Dregan ◽  
Silia Vitoratou ◽  
Ivet Bayes-Marin ◽  
...  

Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.


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