scholarly journals Incidence and Predictors of Fragility Fracture in Postmenopausal Rheumatoid Arthritis Patients Receiving Oral Bisphosphonates: A Longitudinal Observational Study

Author(s):  
Yuji Kishimoto ◽  
Yoshihiro Kato ◽  
Manami Uemura ◽  
Koji Kuranobu

Abstract Background: Although many studies have reported the predictors of fractures in patients with rheumatoid arthritis (RA) who are not receiving anti-osteoporotic treatments or who are receiving unspecified treatments, studies focusing on the predictors of fracture in patients with RA who are currently being treated with oral bisphosphonates (BP) are quite scarce. This study aims to investigate the incidence and predictors of fragility fracture in postmenopausal patients with RA receiving oral BP.Methods: This retrospective longitudinal observational study comprised 98 postmenopausal RA patients receiving oral BP for a minimum of 6 months between April 2015 and December 2020. The cumulative incidence of fragility fractures including vertebral and nonvertebral fractures was investigated using the Kaplan–Meier method. Cox proportional hazards analysis was used to analyze baseline predictors of future fragility fractures. To determine a cutoff value of continuous predictors, the receiver-operating characteristic curve was applied.Results: Twenty patients developed fractures during the study period, with a cumulative incidence of 6.1% at 12 months, 10.5% at a median follow-up of 28 months, and 14.4% at 36 months. Multivariable Cox hazards analysis showed a history of prior vertebral fracture (hazard ratio [HR]: 6.26, 95% confidence interval [CI]: 1.99‒19.68, P = 0.001) and dose of methotrexate (HR: 0.87, 95% CI: 0.76‒0.99, P = 0.041) to be independent predictors. The cutoff value for methotrexate dose was 4 mg/week.Conclusions: We found a cumulative incidence of any fractures of 10.5% at 28 months in patients with RA currently being treated with oral BP. A history of prior vertebral fractures and methotrexate dose were positive and negative predictors for fractures, respectively. Practitioners should consider selecting another anti-osteoporotic drug in patients with RA who remain at risk despite receiving oral BP.

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


2013 ◽  
Vol 71 (Suppl 3) ◽  
pp. 140.2-140 ◽  
Author(s):  
E. Lie ◽  
T.G. Woodworth ◽  
R. Christensen ◽  
V. Bykerk ◽  
C.O. Bingham ◽  
...  

2010 ◽  
Vol 77 (2) ◽  
pp. 142-145 ◽  
Author(s):  
Éric Toussirot ◽  
Édouard Pertuiset ◽  
Christelle Sordet ◽  
Benoît Augé ◽  
Daniel Wendling ◽  
...  

2011 ◽  
Vol 13 (4) ◽  
pp. 405 ◽  
Author(s):  
Kazuki Yoshida ◽  
Kazuo Matsui ◽  
Hiroto Nakano ◽  
Hideto Oshikawa ◽  
Masako Utsunomiya ◽  
...  

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1758.1-1758
Author(s):  
C. Saleh ◽  
M. Bukhari ◽  
S. M. Bilgrami

Background:There is an increased risk of low-trauma fracture as bone mineral density (BMD) decreases, however a large proportion of these fragility fractures occur in those without osteoporosis or osteopenia. The widely used FRAX tool uses femoral neck (FN) BMD, amongst other parameters, to predict fracture risk. In those with normal BMD, data is lacking on the weight these other parameters hold in predicting future risk. Indeed, FN BMD can be facultative in the estimation of risk when using FRAX.Objectives:To establish predictors of fragility fracture in a patient cohort referred for BMD estimation, subsequently found to have bilateral FN BMD of greater than 1.Methods:A cohort of patients in the North West of England referred between 2004 and 2014 for BMD estimation, with both left and right FN BMD of greater than 1 were identified. Patient parameters identified and analysed included age at scan, gender, BMD at left hip, body mass index (BMI), fat mass, family history of fracture, alcohol history of 3 or more units per day, smoking status, rheumatoid arthritis (RA), and steroid exposure. Patients with fragility fracture were compared with those without fracture. Chi-square test and T-test were applied to categorical and continuous data respectively. Further univariate and multivariate logistic regression models were fitted to determine parameters associated with future fracture risk.Results:619 patients with bilateral FN BMD of greater than 1 were identified and included in analysis. Mean age at scan was 54 years (SD 11.82) and 542 (87.56%) were female. 92 (14.86%) patients had a fragility fracture. Mean left FN BMD was 1.91 (SD 0.71), and mean right FN BMD was 1.92 (SD 0.68). Results of the univariate analysis are described in Table 1 below.Table 1.Logistic regression analysis of patient parameters with unadjusted and adjusted odds ratios for fragility fracturePredictorUnadjusted odds ratio (95% CI)Odds ratio adjusted for age (95% CI)Odds ratio adjusted for age and gender (95% CI)Age at scan (years)0.99 (0.98-1.01)--Gender1.37 (0.66, 2.84)1.34 (0.64, 2.80)-BMD at left hip0.34 (0.03, 4.05)0.37 (0.03, 4.37)0.50 (0.03, 7.67)BMI1.07 (1.03, 1.10)1.07 (1.03, 1.10)1.07 (1.03, 1.10)Fat mass1.00 (1.00, 1.00)1.00 (1.00, 1.01)1.00 (1.00, 1.01)Parent fractured hip0.99 (0.57, 1.70)0.97 (0.56, 1.68)0.94 (0.54, 1.64)Alcohol (3 or more units/day)1.16 (0.47, 2.86)1.16 (0.47, 2.87)1.16 (0.47, 2.89)Current smoker1.40 (0.89, 2.21)1.40 (0.89, 2.21)1.42 (0.90, 2.23)Rheumatoid arthritis0.83 (0.32, 2.19)0.85 (0.32, 2.24)0.86 (0.34, 2.27)Steroid exposure0.53 (0.30, 0.96)0.53 (0.30, 0.96)0.54 (0.30, 0.98)Conclusion:Steroid exposure and body composition parameters influence fracture risk in this group pf patients with normal BMD, further work will be done looking at the types of fractures and other parameters in this group of patients.Disclosure of Interests:Christopher Saleh: None declared, Marwan Bukhari Speakers bureau: Bristol-Myers Squib, UCB celltech, Roche/Chugai, Pfizer, Abbvie, Merck, Mennarini, Sanofi-aventis, Eli-Lilly, Janssen, Amgen and Novartis., Syed Mujtaba Bilgrami Speakers bureau: Pfizer


2021 ◽  
Author(s):  
Mojca Jensterle ◽  
Kocjan Tomaž ◽  
Matej Rakusa ◽  
Andrej Janez ◽  
Peter Popovic ◽  
...  

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