Predicting the 10-year risk of hip and major osteoporotic fracture in rheumatoid arthritis and in the general population: an independent validation and update of UK FRAX without bone mineral density

Genetic Prediction of Osteoporosis by Anti-Müllerian Hormone Levels and Reproductive Factors in Women: A Mendelian Randomization Study

Previous observational studies have suggested that anti-Müllerian hormone (AMH) and reproductive factors are linked to reduced bone mineral density (BMD) and an increased risk of osteoporosis (OP) in women. However, related studies are limited, and these traditional observational studies may be subject to residual confounders and reverse causation, while also lacking a more comprehensive observation of various reproductive factors. Univariate and multivariate two-sample Mendelian randomization analyses were conducted to determine the causal associations of AMH levels and six reproductive factors with BMD and OP, using the random-effects inverse-variance weighted method. Heterogeneity was assessed using Cochran's Q-statistic, and sensitivity analyses were performed to identify causal correlations. Age at menarche (AAM) was negatively associated with total body BMD (TB-BMD) in females aged 45-60 and over 60 years, as well as with heel bone mineral density (eBMD). Conversely, age at natural menopause (ANM) was positively associated with TB-BMD in the same age ranges and with eBMD. ANM was only causally associated with self-reported OP and showed no significant correlation with definitively diagnosed OP. Neither AMH level nor other reproductive factors were significantly associated with a genetic predisposition to BMD at any age and OP. Later AAM and earlier ANM are significantly genetically causally associated with decreased BMD but not with OP. AMH levels, length of menstrual cycle, age at first birth, age at last birth, and number of live births, in terms of genetic backgrounds, are not causally related to BMD or OP.

Fracture Risk and Health Profiles Differ According to Relationship Status: Findings from the Hertfordshire Cohort Study

Registry studies have suggested associations between relationship status and fracture risk. We considered associations between relationship status and incident fracture in the Hertfordshire Cohort Study, comprising community-dwelling older adults, and explored associations between socioeconomic and lifestyle factors with relationship status. 2997 participants completed a baseline questionnaire (1998-2004) and clinic visit. Participants were followed up until December 2018 using Hospital Episode Statistics, which report clinical outcomes using codes from the 10th revision of the International Classification of Diseases (ICD-10); these codes were used to ascertain incident fractures. Relationship status (not currently married/cohabiting vs currently married/cohabiting) at baseline was examined in relation to incident fracture using Cox regression. Associations between baseline characteristics and relationship status were examined using logistic regression. Mean baseline age was 66.2 years. 80% were married/cohabiting at baseline; 15% had an incident fracture (mean (SD) follow-up duration: 14.4 (4.5) years). The following were related to greater likelihood of not being married/cohabiting: older age (women only); higher BMI (women only); current smoking; high alcohol consumption (men only); poorer diet quality (men only); lower physical activity; leaving school before age 15 (women only); and not owning one's home. Those not married/cohabiting had greater risk of incident fracture compared to those who were (age-adjusted hazard ratios (95% CI) 1.58 (1.06, 2.38) among men, 1.35 (1.06, 1.72) among women); associations were attenuated after accounting for the above factors associated with relationship status in the corresponding sex. This suggests that differences in health profiles and lifestyle according to relationship status may explain the association between relationship status and fracture risk.

Low Hounsfield unit values on computed tomography as a potential predictor of vertebral fracture in patients with rheumatoid arthritis: The KURAMA cohort study

OBJECTIVE

Hounsfield units (HU) measured using computed tomography (CT) have gained considerable attention for the detection of osteoporosis. This study aimed to investigate whether opportunistic CT could predict vertebral fractures in patients with rheumatoid arthritis (RA).

METHODS

A total of 233 patients with RA who underwent chest CT were included in this study. The HU values of the anterior 1/3 of the vertebral bodies based on the sagittal plane at T11-L2 after reconstruction were measured. The incidence of vertebral fractures was investigated with respect to the HU value.

RESULTS

Vertebral fractures were identified in 32 patients during a mean follow-up period of 3.8 years. In patients who experienced vertebral fractures within 2 years of CT imaging, the HU values of the vertebral bodies (T11-L2) were lower than those in patients who did not experience fractures. Receiver operating characteristic curve analysis identified that a T11 HU value of <125 was a risk factor for vertebral fracture within 2 years. Multivariate analysis showed that a T11 HU value of <125 and the existence of prevalent vertebral fractures were significant risk factors for fracture.

CONCLUSION

HU measurements of the anterior 1/3 of the vertebral body are a potential predictor for vertebral fractures in patients with RA.

Comparison of Rheumatoid Arthritis Information Recorded in UK CPRD Aurum and CPRD GOLD Databases (Companion Paper 3)

Purpose

To report distribution of codes associated with a rheumatoid arthritis (RA) diagnosis recorded in Clinical Practice Research Datalink (CPRD) Aurum compared to the previously validated CPRD GOLD database as a critical step toward making decisions about CPRD Aurum's suitability for medical research.

Patients and Methods

We analyzed the distribution of codes for RA diagnoses, labs, and treatments in the new CPRD Aurum database, compared to the CPRD GOLD database by selecting relevant indicators of RA diagnosis, treatment, and clinical care. We included all patients in England in CPRD Aurum and CPRD GOLD with an incident diagnosis code for RA on or after 1 January 2005 and at least two years recorded data before first RA diagnosis.

Results

We found 53,083 and 18,167 patients with a new diagnosis code for RA in CPRD Aurum and CPRD GOLD, respectively. In both databases approximately 67% were female with similar mean ages at first diagnosis. There were few differences in RA-related recording patterns between the two data sources. Before first RA diagnosis, CPRD Aurum patients had more RA-specific labs and other supporting clinical codes. After diagnosis, CPRD Aurum patients had more RA diagnoses coded and more often had 10+ general RA labs than patients in CPRD GOLD. More CPRD GOLD patients had 10+ prescriptions for conventional disease-modifying antirheumatic drugs (cDMARD) compared to CPRD Aurum. Otherwise, the distribution of drugs used to treat RA was similar between databases. The standardized incidence of RA was similar between databases.

Conclusion

Overall, among patients with a diagnosis code for RA, recording of diagnoses, prescription drugs, and labs were similar between CPRD Aurum and CPRD GOLD. Slight differences were found for a few variables, but overall, we found consistency between the databases. In addition, standardized incidence of RA was similar between databases.

Validating the Fracture Risk Assessment Tool Score in a US Population-Based Study of Patients With Rheumatoid Arthritis

OBJECTIVE

The World Health Organization fracture risk assessment tool (FRAX) algorithm for risk prediction of major osteoporotic and hip fractures accounts for several risk factors, including rheumatoid arthritis (RA), since individuals with RA have an excess burden of fractures. FRAX has not been validated in population-based RA cohorts in the US. We aimed to determine the accuracy of FRAX predictions for individuals with RA in the US.

METHODS

This retrospective population-based cohort study included residents of Olmsted County, Minnesota, who were followed until death, migration, or last medical record review. Each patient with RA (1987 American College of Rheumatology criteria met in 1980-2007, age 40-89 years) was matched 1:1 on age and sex to an individual without RA from the same underlying population. Ten-year predictions for major osteoporotic and hip fractures were estimated using the FRAX tool. Fractures were ascertained through follow-up, truncated at 10 years. Standardized incidence ratios (SIRs) and 95% CI were calculated to compare observed and predicted fractures.

RESULTS

The study included 662 patients with RA and 658 non-RA comparators (66.8% vs 66.9% female and a mean age of 60.6 vs 60.5 years, respectively). Among patients with RA, 76 major osteoporotic fractures and 21 hip fractures were observed during follow-up (median follow-up: 9.0 years) compared to 67.0 predicted major osteoporotic fractures (SIR 1.13, 95% CI 0.91-1.42) and 23.3 predicted hip fractures (SIR 0.90, 95% CI 0.59-1.38). The observed and predicted major osteoporotic and hip fracture risks were similar for patients with RA and non-RA comparators.

CONCLUSION

The FRAX tool is an accurate method for estimating major osteoporotic and hip fracture risk in patients with RA.

Prevalence of glucocorticoid-induced osteoporosis among rheumatology patients in Africa: a systematic review and meta-analysis

The prevalence of glucocorticosteroid-induced osteoporosis (GIOP) is well established in higher income countries. There are limited studies showing a wide prevalence of GIOP in Africa. Prospective studies are needed on GIOP in African rheumatology patients to implement appropriate management algorithms.

PURPOSE

The prevalence of glucocorticosteroid-induced osteoporosis (GIOP) is well established in developed countries, but little is known about GIOP in African adult patients with inflammatory rheumatic musculoskeletal diseases (RMDs). This study aimed to determine the prevalence of GIOP and osteoporotic fracture risk in African patients with inflammatory RMDs according to radiographic and bone mineral density (BMD) findings.

METHODS

PubMed, Google Scholar, Scopus, and African Index Medicus were searched up to 31 December 2020. Heterogeneity was assessed using I2 statistic across the included studies. A random-effects model was applied to estimate the pooled effect size across studies. All statistical analyses were performed using STATA™ version 14 software. The study was registered with PROSPERO, number CRD42021256252.

RESULTS

In this meta-analysis, a total of 7 studies with 780 participants, stratified by geographical region were included. The pooled prevalence of GIOP based on BMD data was 47.7% (95% CI 32.9-62.8) with 52.2% (95% CI 36.5-67.6) in North African countries and 15.4% (95% 1.9-45.4%) in South Africa with a high heterogeneity (I2 = 93.3%, p = 0.018). There was no data from the rest of African countries. We were unable to complete the meta-analysis of osteoporotic fractures due to the lack of available data.

CONCLUSION

This study revealed that the prevalence of GIOP varies significantly in Africa. There is no information, however, for most of Africa, and further prospective studies are needed to develop context-specific GIOP preventive strategies in patients with RMDs.

Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs)

Health care processes are under constant development and will need to embrace advances in technology and health science aiming to provide optimal care. Considering the perspective of increasing treatment options for people with rheumatic and musculoskeletal diseases, but in many cases not reaching all treatment targets that matter to patients, care systems bare potential to improve on a holistic level. This review provides an overview of systems and technologies under evaluation over the past years that show potential to impact diagnosis and treatment of rheumatic diseases in about 10 years from now. We summarize initiatives and studies from the field of electronic health records, biobanking, remote monitoring, and artificial intelligence. The combination and implementation of these opportunities in daily clinical care will be key for a new era in care of our patients. This aims to inform rheumatologists and healthcare providers concerned with chronic inflammatory musculoskeletal conditions about current important and promising developments in science that might substantially impact the management processes of rheumatic diseases in the 2030s.

Establishment of a preliminary FRAX®-based intervention threshold for rheumatoid arthritis–associated fragility fracture: a 3-year longitudinal, observational, cohort study

Background:

To establish a FRAX®-based prediction model for rheumatoid arthritis (RA)-associated fragility fracture.

Methods:

This study is a longitudinal, real-world, registry cohort study. Patients with RA were registered to start in September 2014. The baseline demographics, bone mineral density (BMD), and risk factors of osteoporosis or fragility fracture were recorded. Subsequent fragility fractures during the 3-year observation period were also recorded. We developed a fixed intervention threshold (FITD) to identify fractures by choosing an optimal cut-off point on the receiver operating characteristic (ROC) curve and FRAX®. Several models for intervention thresholds (IT), including fixed intervention threshold (Taiwan) (FITT), age-specific individual intervention threshold (IIT), and hybrid intervention threshold (HIT), were compared to evaluate which IT model will have better discriminative power.

Results:

As of December 2020, a total of 493 RA participants have completed the 3-year observation study. The mean age of the participants was 59.3 ± 8.7, and 116 (23.5%) new fragility fractures were observed during the study period. In terms of pairwise comparisons of area under the curve ( n, 95% confidence interval) in the ROC curve, the FITD (0.669, 0.610–0.727, p < 0.001) with a value of 22% in major osteoporotic fracture and FITT (0.640, 0.582–0.699, p < 0.001) is significantly better than reference, but not for IIT (0.543, 0.485–0.601, p = 0.165) and HIT (0.543, 0.485–0.601, p = 0.165).

Conclusion:

An optimal FIT is established for intervention decisions in RA-associated fragility fractures. This model can offer an easy and simple guide to aid RA caregivers to provide interventions to prevent fragility fractures in patients with RA.

Identification of Serum Exosome-Derived circRNA-miRNA-TF-mRNA Regulatory Network in Postmenopausal Osteoporosis Using Bioinformatics Analysis and Validation in Peripheral Blood-Derived Mononuclear Cells

BACKGROUND

Osteoporosis is one of the most common systemic metabolic bone diseases, especially in postmenopausal women. Circular RNA (circRNA) has been implicated in various human diseases. However, the potential role of circRNAs in postmenopausal osteoporosis (PMOP) remains largely unknown. The study aims to identify potential biomarkers and further understand the mechanism of PMOP by constructing a circRNA-associated ceRNA network.

METHODS

The PMOP-related datasets GSE161361, GSE64433, and GSE56116 were downloaded from the Gene Expression Omnibus (GEO) database and were used to obtain differentially expressed genes (DEGs). Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were applied to determine possible relevant functions of differentially expressed messenger RNAs (mRNAs). The TRRUST database was used to predict differential transcription factor (TF)-mRNA regulatory pairs. Afterwards, combined CircBank and miRTarBase, circRNA-miRNA as well as miRNA-TF pairs were constructed. Then, a circRNA-miRNA-TF-mRNA network was established. Next, the correlation of mRNAs, TFs, and PMOP was verified by the Comparative Toxicogenomics Database. And expression levels of key genes, including circRNAs, miRNAs, TFs, and mRNAs in the ceRNA network were further validated by quantitative real-time PCR (qRT-PCR). Furthermore, to screen out signaling pathways related to key mRNAs of the ceRNA network, Gene Set Enrichment Analysis (GSEA) was performed.

RESULTS

A total of 1201 DE mRNAs, 44 DE miRNAs, and 1613 DE circRNAs associated with PMOP were obtained. GO function annotation showed DE mRNAs were mainly related to inflammatory responses. KEGG analysis revealed DE mRNAs were mainly enriched in osteoclast differentiation, rheumatoid arthritis, hematopoietic cell lineage, and cytokine-cytokine receptor interaction pathways. We first identified 26 TFs and their target mRNAs. Combining DE miRNAs, miRNA-TF/mRNA pairs were obtained. Combining DE circRNAs, we constructed the ceRNA network contained 6 circRNAs, 4 miRNAs, 4 TFs, and 12 mRNAs. The expression levels of most genes detected by qRT-PCR were generally consistent with the microarray results. Combined with the qRT-PCR validation results, we eventually identified the ceRNA network that contained 4 circRNAs, 3 miRNAs, 3 TFs, and 9 mRNAs. The GSEA revealed that 9 mRNAs participate in many important signaling pathways, such as "olfactory transduction", "T cell receptor signaling pathway", and "neuroactive ligand-receptor interaction". These pathways have been reported to the occurrence and development of PMOP. To sum up, key mRNAs in the ceRNA network may participate in the development of osteoporosis by regulating related signal pathways.

CONCLUSIONS

A circRNA-associated ceRNA network containing TFs was established for PMOP. The study may help further explore the molecular mechanisms and may serve as potential biomarkers or therapeutic targets for PMOP.

Prediction Models for Osteoporotic Fractures Risk: A Systematic Review and Critical Appraisal

Osteoporotic fractures (OF) are a global public health problem currently. Many risk prediction models for OF have been developed, but their performance and methodological quality are unclear. We conducted this systematic review to summarize and critically appraise the OF risk prediction models. Three databases were searched until April 2021. Studies developing or validating multivariable models for OF risk prediction were considered eligible. Used the prediction model risk of bias assessment tool to appraise the risk of bias and applicability of included models. All results were narratively summarized and described. A total of 68 studies describing 70 newly developed prediction models and 138 external validations were included. Most models were explicitly developed (n=31, 44%) and validated (n=76, 55%) only for female. Only 22 developed models (31%) were externally validated. The most validated tool was Fracture Risk Assessment Tool. Overall, only a few models showed outstanding (n=3, 1%) or excellent (n=32, 15%) prediction discrimination. Calibration of developed models (n=25, 36%) or external validation models (n=33, 24%) were rarely assessed. No model was rated as low risk of bias, mostly because of an insufficient number of cases and inappropriate assessment of calibration. There are a certain number of OF risk prediction models. However, few models have been thoroughly internally validated or externally validated (with calibration being unassessed for most of the models), and all models showed methodological shortcomings. Instead of developing completely new models, future research is suggested to validate, improve, and analyze the impact of existing models.

Quantitative Ultrasound (QUS) in the Management of Osteoporosis and Assessment of Fracture Risk: An Update

Quantitative ultrasound (QUS) presents a low cost and readily available alternative to DXA measurements of bone mineral density (BMD) for osteoporotic fracture risk assessment. It is performed in a variety of skeletal sites, among which the most widely investigated and clinically used are first the calcaneus and then the radius. Nevertheless, there is still uncertainty in the incorporation of QUS in the clinical management of osteoporosis as the level of clinical validation differs substantially upon the QUS models available. In fact, results from a given QUS device can unlikely be extrapolated to another one, given the technological differences between QUS devices. The use of QUS in clinical routine to identify individuals at low or high risk of fracture could be considered primarily when central DXA is not easily available. In this later case, it is recommended that QUS bone parameters are used in combination with established clinical risk factors for fracture. Currently, stand-alone QUS is not recommended for treatment initiation decision making or follow-up. As WHO classification of osteoporosis thresholds cannot apply to QUS, thresholds specific for given QUS devices and parameters need to be determined and cross-validated widely to have a well-defined and certain use of QUS in osteoporosis clinical workflow. Despite the acknowledged current clinical limitations for QUS to be used more widely in daily routine, substantial progresses have been made and new results are promising.

Role of Interleukin 6 Inhibitors in the Management of Rheumatoid Arthritis

ABSTRACT

Rheumatoid arthritis (RA) is a multisystem disease that affects the joints and various organs, resulting in compromised quality of life and increased mortality. A wide spectrum of treatment options is available for RA. Conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) are the first-line of treatment for RA, whereas tumor necrosis factor α inhibitors are commonly used as a second-line biological disease-modifying antirheumatic drug following inadequate response to csDMARDs. However, remission remains difficult to achieve. No single agent is effective for all patients. It is important to consider patients' comorbidities, perspectives, and preferences when selecting treatment.Interleukin 6 (IL-6) plays a prominent role in the pathophysiology of RA and is an important therapeutic target for RA. Tocilizumab and sarilumab are approved IL-6 inhibitors, which have demonstrated good efficacy and tolerability as combination therapy or monotherapy in RA patients with inadequate response to csDMARDs or tumor necrosis factor α inhibitors. Apart from alleviating joint symptoms, inducing remission, and reducing structural damage, tocilizumab and sarilumab exhibit additional advantages in alleviating extra-articular symptoms, such as fatigue and morning stiffness, and have positive effect on anemia and glucose metabolism. Additionally, evidence showed that certain patient subgroups, such as those with comorbidities including anemia and diabetes mellitus, those with early RA, those with high baseline IL-6 levels, those at high risk of tuberculosis infection, or those intolerant to methotrexate monotherapy, may benefit from IL-6 inhibition. Given these advantages, tocilizumab and sarilumab can be considered earlier as a rational choice for treating RA in suitable patients. Future clinical investigations will help refine the use of these agents.

Evaluation of FRAX Performance Without Bone Mineral Density Calibrated for Mexico to Recognize Women at Risk of Fragility Fractures in Routine Clinical Care

OBJECTIVE

To evaluate FRAX clinical performance without bone mineral density (BMD) to approach people with fracture risk.

METHODS

A cross-sectional study was carried out from July 2012 to February 2020 at outpatient clinic of rheumatology in 2 public hospitals. Postmenopausal women between 40 and 90 years of age were chosen if no previous osteoporosis treatment was received and had femoral neck BMD determination. Clinical performance of FRAX without BMD was evaluated using agreement and diagnostic test statistics.

RESULTS

Four hundred seventy-seven women with a mean age of 62.85 years were included. FRAX without BMD classified 46.03% of them at low risk, 45.82% intermediate risk, and 8.16% high risk. When BMD was included, 17.19% of them revealed high risk. Not incorporating BMD value in the risk assessed a higher percentage of error in the fracture risk classification in high-risk patients; otherwise, including BMD reclassified it as risk below treatment threshold in 20.51% of the patients. The percentage of agreement between the recommendations based on FRAX with and without BMD was 94.98%. Agreement between FRAX score with or without BMD was good to very good (κ = 0.79, Gwet = 0.93). FRAX without BMD presented a positive predictive value of 79.5% and negative predictive value of 97.7%.

CONCLUSIONS

FRAX without BMD correctly classified most women evaluated, primarily low-risk women. In order to identify accurately women at high fracture risk, it would be advisable to determine the BMD in women with moderate to high risk of FRAX without BMD.

Effects of glucocorticoids on osteoporosis in rheumatoid arthritis: a systematic review and meta-analysis

We evaluated the effects of glucocorticoids on bone mineral density (BMD), and prevalence of osteoporosis and fracture in rheumatoid arthritis (RA) by meta-analysis. Until June 26, 2019, we conducted a systematic literature search in EMBASE, Web of science, PubMed, and Cochrane Library to obtain BMD and the prevalence of osteoporosis and fracture in glucocorticoid-treated subjects with RA. The BMD of the treatment and control groups were analyzed by meta-analysis (Stata. version 15), and the 95% confidence interval (CI) was calculated. We identified 15 observational studies, including 46,711 RA subjects and 857 healthy controls. The BMD of the lumbar spine (- 0.038 g/cm²; CI, - 0.052, - 0.024) and femoral neck (- 0.017 g/cm²; - 0.030, - 0.003) in RA treated with glucocorticoids were significantly lower than those in RA controls. Compared with healthy control group, the BMD of the lumbar spine (- 0.094 g/cm²; - 0.126, - 0.061) and femoral neck (- 0.097 g/cm², - 0.109, - 0.085) of RA treated with glucocorticoids decreased more significantly. The prevalence of osteoporosis in whole body, spine, and femur was 38.6% (0.305, 0.466), 32.9% (0.277, 0.381), and 21.7% (0.106, 0.328), respectively. And the prevalence of vertebral fracture was 13.0% (0.058, 0.203). Glucocorticoids may lead to a decline in skeletal health in subjects with RA, especially in vertebral and femoral BMD, compared with normal people or RA without glucocorticoid therapy. Meanwhile, osteoporosis and fractures were also common. Therapeutic measures should be targeted at individuals, which needs further study. Through meta-analysis, we found that glucocorticoids have some negative effects on the bone health of subjects with rheumatoid arthritis. Therefore, when using glucocorticoids to treat rheumatoid arthritis, we should take strategic measures to prevent the decline of bone quality.

Osteoporosis in patients with rheumatoid arthritis: an update in epidemiology, pathogenesis, and fracture prevention

INTRODUCTION

Rheumatoid arthritis (RA) is a chronic disabling disease characterized by a symmetrical articular involvement due to ongoing joint inflammation, if left insufficiently treated. Local and generalized bone loss is one of the main extra-articular complications of RA and leads to an increased risk for fragility fractures, which further impair functional ability, quality of life, and life expectancy. Therefore, there is an urgent need for good fracture risk management in the vulnerable RA patient.

AREAS COVERED

The authors review: the epidemiology and pathophysiology (i.e. risk factors) of osteoporosis (OP), fracture, and vertebral fracture risk assessment, the effects of anti-rheumatic drugs on bone loss, pharmacological treatment of OP in RA including both bisphosphonates (BP) and newer drugs including anti-resorptives and osteoanabolic treatment options.

EXPERT OPINION

Patients with active RA have elevated bone resorption and local bone loss. Moreover, these patients are at increased risk for generalized bone loss, vertebral and non-vertebral fractures. Since general risk factors (such as low BMI, fall risk) and RA-related factors play a role, optimal fracture prevention in RA patients is based on optimal diagnostics based on both of these factors, and on the use of adequate non-medical and medical treatment options.

Fragility fractures in psoriatic arthritis patients: a matched retrospective cohort study

OBJECTIVE

To compare incidental fragility fractures in psoriatic arthritis (PsA) patients with matched controls from a university hospital.

METHODS

Consecutive PsA patients were matched (age and sex) with controls (1:2). Follow-up began at index date, defined as the date of PsA diagnosis for cases and their respective controls, until the last hospital visit, death or the end of the study (31 December 2017). Electronic medical records were reviewed for osteoporotic fractures. Incidence rates per 100,000 persons-years (PY) of distinct types of fractures after index dates were calculated and compared between groups. A multivariate Cox regression analysis was performed to investigate determinants of fractures.

RESULTS

Ninety-two PsA patients and 184 controls were included. No difference was found in the overall fracture incidence rate per 100,000 PY between PsA and controls (1020 95% CI 510-1930, vs 870 95% CI 520-1390, p = 0.36). Vertebral fractures were numerically more frequent in PsA patients with an incidence rate of 1020 (95% CI 510-1930) per 100,000 PY versus 460 (95% CI 240-920), per 100,000 PY in the control group but it did not reach statistical significance (p = 0.06). In the Cox regression analysis, after adjusting for bisphosphonate use, only age (HR 1.10, 1.05-1.16, p < 0.001) and female sex (HR 3.94, 1.11-13.91, p = 0.03) were associated with fractures while PsA diagnosis and use of glucocorticoids were not.

CONCLUSION

In this cohort of PsA patients, no overall increased risk of fractures was found in comparison with matched controls. Key Points • PsA could have different effects on bone, leading to confusing results in bone densitometry readings contributing to the difficulty in establishing the real prevalence of OP in PsA. • Vertebral fractures were more frequent in PsA patients compared to controls, but it did not reach statistical significance. No difference was found in the overall fracture incidence rate.

Frailty and risk of osteoporotic fractures in patients with rheumatoid arthritis: Data from the Ontario Best Practices Research Initiative

The evidence assessing the relationship between frailty and risk of adverse health outcomes in patients with rheumatoid arthritis (RA) remains limited and sparse in the literature. Data from the Ontario Best Practices Research Initiative (OBRI), a clinical registry of patients with RA, were used to explore the relationship between frailty and fracture risk in patients with RA. Patients were referred to OBRI by their participating rheumatologist, and contacted by OBRI trained interviewers. Primary outcome was time to first incident osteoporotic fractures during follow-up that led to a hospitalization or emergency room visit. Frailty was measured by a Rockwood-type frailty index (FI) of deficit accumulation that consisted of 32 health-related deficits. To quantify the relationship between frailty and risk of fracture, we used Cox proportional hazards models with hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) reported. We included 2923 patients (mean age 57.7 standard deviation [SD]: 12.7; 78% female,) for analyses. During a mean follow-up of 3.7 years, there were 125 (4.3%) incident fractures reported. The FI was significantly higher in patients with a fracture compared to controls (0.24 vs. 0.20, p = 0.02). The FI was found to be significantly related to increased risk of fracture in the fully-adjusted models, with a HR of 1.04 (95% CI: 1.02-1.06, p < 0.001) and 1.58 (95% CI: 1.32-1.89, p < 0.001) for per-0.01 and per-SD increase in the FI respectively. In summary, our study demonstrates that higher frailty status is significantly related to increased risk of osteoporotic fractures in patients with RA. Quantifying the frailty status as a research tool may aid in fracture risk assessment, management and decision-making in RA.

Incidence and Mortality of Osteoporotic Fracture in Rheumatoid Arthritis in South Korea Using Nationwide Claims Data

Background

To investigate incidence and mortaltiy of osteoporotic fractures (including hip, spine, distal radius, and proximal humerus) in rheumatoid arthritis (RA) patients and compare them with those in the genearal population.

Methods

Data provided by National Health Insurance Service were used to identify osteoporotic fractures in patients aged >50 years between 2010 and 2012. Patients with RA were identified by the diagnostic code for seropositive RA. Standardized mortality ratios (SMRs; observed/expected deaths) of osteoporotic fractures were calculated based on age and gender-specific rates in the entire Korean population. Incidence, mortality, and SMR of osteoporotic fractures in RA patients and the general population were calculated and compared.

Results

Osteopororic fractures in the general population and RA patients were increased by 11.6% and 17.4% over 3 years (195,271 and 1,356 in 2010; 217,985 and 1,592 in 2012), respectively. Mean age-specific incidence of osteoporotic fracture in women and men with RA increased from 932.1/100,000 and 306.1/100,000 for aged 50 to 59 year to 9,377.0/100,000 and 3,700.9/100,000 for aged ≥80 years, respectively. Cumulative mortality rate in the first year after osteoporotic fracture in patients with RA was higher than that in the general population (7.8% in RA and 6.6% in the general population). SMR of osteoporotic fracture in RA patients was 1.4 times higher in men and 1.3 times higher in women than that for the general population.

Conclusions

This study demonstated that incidence, 1-year mortality, and SMR of osteoporotic fracture in RA patients aged 50 years and older were higher than those in the general papulation.

Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis, and meta-regression

There is no consensus on which tool is the most accurate to assess fracture risk. The results of this systematic review suggest that QFracture, Fracture Risk Assessment Tool (FRAX) with BMD, and Garvan with BMD are the tools with the best discriminative ability. More studies assessing the comparative performance of current tools are needed.

INTRODUCTION

Many tools exist to assess fracture risk. This review aims to determine which tools have the best predictive accuracy to identify individuals at high risk of non-traumatic fracture.

METHODS

Studies assessing the accuracy of tools for prediction of fracture were searched in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Global Health. Studies were eligible if discrimination was assessed in a population independent of the derivation cohort. Meta-analyses and meta-regressions were performed on areas under the ROC curve (AUCs). Gender, mean age, age range, and study quality were used as adjustment variables.

RESULTS

We identified 53 validation studies assessing the discriminative ability of 14 tools. Given the small number of studies on some tools, only FRAX, Garvan, and QFracture were compared using meta-regression models. In the unadjusted analyses, QFracture had the best discriminative ability to predict hip fracture (AUC = 0.88). In the adjusted analysis, FRAX with BMD (AUC = 0.81) and Garvan with BMD (AUC = 0.79) had the highest AUCs. For prediction of major osteoporotic fracture, QFracture had the best discriminative ability (AUC = 0.77). For prediction of osteoporotic or any fracture, FRAX with BMD and Garvan with BMD had higher discriminative ability than their versions without BMD (FRAX: AUC = 0.72 vs 0.69, Garvan: AUC = 0.72 vs 0.65). A significant amount of heterogeneity was present in the analyses.

CONCLUSIONS

QFracture, FRAX with BMD, and Garvan with BMD have the highest discriminative performance for predicting fracture. Additional studies in which the performance of current tools is assessed in the same individuals may be performed to confirm this conclusion.

Incidence of fractures among patients with rheumatoid arthritis: a systematic review and meta-analysis

This study is the first meta-analysis investigating the pooled incidence rates of fractures among patients with RA. Our results demonstrated that this population is at high risk of overall and fragility fractures. Consideration of vertebral imaging and RA-specific risk factor assessment may aid in fracture prevention for this vulnerable group.

INTRODUCTION

This systematic review and meta-analysis aims to estimate the incidence of fractures (overall and fragility) in patients with rheumatoid arthritis (RA).

METHODS

MEDLINE, EMBASE, and CENTRAL were searched for cohort studies reporting incidence of fractures among patients with RA. Two reviewers independently assessed all studies for inclusion and extracted data. Pooled analyses of incidence rates and relative risk of fractures were conducted using a random-effects model. Subgroup analyses investigated potential sources of heterogeneity, and predictors of fractures were summarized.

RESULTS

Twenty-five studies were included in total. The pooled incidence rates of overall and fragility fractures were 33.00 (95% CI 18.39-59.21) and 15.31 (95% CI 10.43-22.47) per 1000 person-years, respectively. Patients with RA had a higher risk of overall (RR 1.52, 95% CI 1.07-2.14) and fragility (RR 1.61, 95% CI 1.44-1.79) fractures. Subgroup analyses suggested a higher risk of fragility fractures among female patients (31.03 vs. 23.75 per 1000 person-years). The pooled site-specific incidence rates of vertebral, hip, forearm, and proximal humeral fractures were 7.51 (95% CI 3.27-17.23), 4.33 (95% CI 2.26-8.27), 3.40 (95% CI 2.27-5.10), and 1.86 (95% CI 1.36-2.53) per 1000 person-years, respectively. Clinical vertebral fractures were underestimated compared with radiographic screening (4.29 vs. 42.40 per 1000 person-years). Predictors of fractures included both traditional OP risk factors and RA-specific factors.

CONCLUSIONS

Patients with RA are at high risk of incident overall and fragility fractures. Consideration of vertebral imaging for patients with additional OP risk factors, including RA-specific risk factors, may help with early OP diagnosis and timely intervention.

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

OBJECTIVE

Osteoporotic fractures are associated with high morbidity and mortality. Persons with rheumatoid arthritis (RA) have twice the risk of osteoporosis-related fracture than age-matched controls, the causes for which remain unknown. We investigated contributions of RA characteristics, medication use, and body composition to low bone mineral density (BMD) in patients with RA.

METHODS

Data were from the Arthritis, Body Composition, and Disability Study (n = 138; 82 women, 56 men). Demographic, clinical, laboratory, and functional variables were collected at study visits. Body composition (fat, lean muscle, and BMD) was measured by dual x-ray absorptiometry. Linear regression analyses evaluated the association between predictors and femoral neck BMD.

RESULTS

Average disease duration was 19 years, 70% of patients were rheumatoid factor positive, and 55% were high-positive anti-cyclic citrullinated peptide (anti-CCP). Age and high anti-CCP positivity were negatively associated with BMD after controlling for other variables (β = -0.003 and -0.055, respectively, P < 0.05). Appendicular lean mass index (ALMI) was positively associated with BMD (β = 0.053, P < 0.0001). In high anti-CCP positivity participants, increasing anti-CCP levels were associated with a negative linear trend in BMD (β = -0.011, P = 0.026).

CONCLUSION

High anti-CCP positivity and ALMI were strongly associated with BMD in patients with RA. The linear relationship of anti-CCP levels with lower BMD supports the hypothesis that processes specific to RA negatively impact BMD. In contrast, ALMI was positively associated with BMD, emphasizing the importance of this potentially modifiable risk factor. Our findings highlight the complicated interplay of RA disease-specific and functional factors and their impact on bone mass.

Anti-CCP-positive patients with RA have a higher 10-year probability of fracture evaluated by FRAX®: a registry study of RA with osteoporosis/fracture

Background

Positive anticyclic citrullinated peptide (anti-CCP+) is associated with bone loss in patients with rheumatoid arthritis (RA). However, whether overall positivity or specific levels of anti-CCP are associated with prevalent fracture or a 10-year probability of fracture remains unclear.

Methods

This interim analysis of an RA registry was conducted at Chang Gung Memorial Hospital in Kaohsiung (CGMHK) for RA-related osteoporosis/fracture. Consecutive patients with RA who had visited the rheumatology clinic at CGMHK since September 1, 2014, and fulfilled the classification criteria of RA were enrolled. The demographics, disease duration, Disease activity in 28 joints based on erythrocyte sedimentation rate (DAS28-ESR), lifestyle, evidence of previous fracture, risk factors of fracture in the Fracture Risk Assessment Tool (FRAX®), and FRAX® score of each participant were collected. Anti-CCP, rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and bone mineral density (BMD) were measured at enrollment. The patients were grouped by positivity or quartiles of anti-CCP level (I–IV).

Results

Five hundred twenty-one patients with RA were enrolled through May 31, 2016. In total, 359 (68.9%) patients were anti-CCP+. Compared with anti-CCP− patients, anti-CCP+ patients had a significantly higher DAS28-ESR (p = 0.0001) and 10-year probability of major (15.0 [18.9] vs. 12.0 [15.3], p = 0.0461) or hip (5.0 [9.2] vs. 3.6 [8.2], p = 0.0118) fracture, but a significantly lower BMD of the FN (p = 0.0196). The rates of osteoporosis and previous fracture were comparable. There were 130, 127, 132, and 132 patients in groups I–IV, respectively. The DAS28-ESR was significantly different (p = 0.0001) among the groups and correlated to anti-CCP levels. The BMD and 10-year probability of major (p = 0.0067) and hip (p = 0.0013) fracture among the groups were also different.

Conclusions

Anti-CCP+ RA patients had a higher 10-year probability of major or hip fracture, independent of anti-CCP levels, and a lower BMD of the FN than anti-CCP− patients.

Inflammatory diseases and bone fragility

Systemic osteoporosis and increased fracture rates have been described in chronic inflammatory diseases such as rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus, inflammatory bowel diseases, and chronic obstructive pulmonary disease. Most of these patients receive glucocorticoids, which have their own deleterious effects on bone. However, the other main determinant of bone fragility is the inflammation itself, as shown by the interactions between the inflammatory mediators, the actors of the immune system, and the bone remodelling. The inflammatory disease activity is thus on top of the other well-known osteoporotic risk factors in these patients. Optimal control of inflammation is part of the prevention of osteoporosis, and potent anti-inflammatory drugs have positive effects on surrogate markers of bone fragility. More data are needed to assess the anti-fracture efficacy of a tight control of inflammation in patients with a chronic inflammatory disorder. This review aimed at presenting different clinical aspects of inflammatory diseases which illustrate the relationships between inflammation and bone fragility.

Skeletal complications of rheumatoid arthritis

Rheumatoid arthritis (RA) is associated with local and systemic inflammation that induces many changes in the skeletal health. Locally, periarticular bone loss and juxta-articular bone erosions may occur while joint ankylosis, generalized bone loss, osteoporosis, and fractures may develop secondary to inflammation. The aim of this narrative review is to summarize the clinical evidence for abnormal skeletal health in RA, the effects of disease modifying anti-rheumatic drugs (DMARDS) on bone health, and the effects of drugs for the prevention or treatment of osteoporosis in the RA population.

Evaluating osteoporotic fracture risk with the Fracture Risk Assessment Tool in Chinese patients with rheumatoid arthritis

This study aims to evaluate the discriminative and predictive capacity of the Fracture Risk Assessment Tool (FRAX) to determine the 10-year risk of osteoporotic fracture in Chinese rheumatoid arthritis (RA) patients.This study included 168 RA patients and 168 healthy individuals as controls. The Chinese mainland FRAX model was applied to calculate the 10-year risk of osteoporotic fractures, defined as fracture of the spine, forearm, hip, or shoulder.The incidence of osteoporosis was significantly increased in RA patients compared to controls (P < .05). Bone mineral density (BMD), lumbar vertebra T-score, and femoral neck T-score were significantly lower in RA patients compared to controls (P < .05). BMD, disease duration, DAS28, and glucocorticoid use were important risk factors for osteoporotic fractures in Chinese RA patients. Ten-year osteoporotic fracture risk in Chinese RA patients was higher when BMD was incorporated in FRAX.There was a higher incidence of osteoporosis and reduced BMD in RA patients compared to controls. The FRAX model should integrate femoral neck BMD with other risk factors to evaluate osteoporotic fracture risk in RA patients, making it a valuable screening tool.

Rehabilitation Practitioners' Prioritized Care Processes in Hip Fracture Post-Acute Care

AIMS

Occupational and physical therapy in post-acute care (PAC) has reached the point where quality indicators for hip fracture are needed. This study characterizes the practitioners' prioritized hip fracture rehabilitation practices, which can guide future quality improvement initiatives.

METHODS

Ninety-two practitioners participating in a parent mixed methods study were asked to rank a series of evidence-based best practices across five clinical domains (assessment, intervention, discharge planning, caregiver training and patient education).

RESULTS

Prioritized practices reflected patient-practitioner collaboration, facilitating an effective discharge, and preventing adverse events. The highest endorsed care processes include: developing meaningful goals with patient input (84%) in assessment, using assistive devices in intervention (75%) and patient education (65%), engaging the patient and caregiver (50%) in discharge planning, and fall prevention (60%) in caregiver education.

CONCLUSIONS

Practitioners identified key care priorities. This study lays the foundation for future work evaluating the extent to which these practices are delivered in PAC.