Risk assessment tools for osteoporosis and fractures in 2022.

Osteoporosis is one of the frequently encountered non-communicable diseases in the world today. Several hundred million people have osteoporosis, with many more at risk. The clinical feature is a fragility fracture (FF), which results in major reductions in the quality and quantity of life, coupled with a huge financial burden. In recognition of the growing importance, the World Health Organisation established a working group 30 years ago tasked with providing a comprehensive report to understand and assess the risk of osteoporosis in postmenopausal women. Dual-energy X-ray absorptiometry (DXA) is the most widely endorsed technology for assessing the risk of fracture or diagnosing osteoporosis before a fracture occurs, but others are available. In clinical practice, important distinctions are essential to optimise the use of risk assessments. Traditional tools lack specificity and were designed for populations to identify groups at higher risk using a 'one-size-fits-all' approach. Much has changed, though the purpose of risk assessment tools remains the same. In 2022, many tools are available to aid the identification of those most at risk, either likely to have osteoporosis or suffer the clinical consequence. Modern technology, enhanced imaging, proteomics, machine learning, artificial intelligence, and big data science will greatly advance a more personalised risk assessment into the future. Clinicians today need to understand not only which tool is most effective and efficient for use in their practice, but also which tool to use for which patient and for what purpose. A greater understanding of the process of risk assessment, deciding who should be screened, and how to assess fracture risk and prognosis in older men and women more comprehensively will greatly reduce the burden of osteoporosis for patients, society, and healthcare systems worldwide. In this paper, we review the current status of risk assessment, screening and best practice for osteoporosis, summarise areas of uncertainty, and make some suggestions for future developments, including a more personalised approach for individuals.

Utility of Osteoporosis Self-Assessment Tool as a Screening Tool for Osteoporosis in Irish Men and Women: Results of the DXA-HIP Project.

Many algorithms have been developed and publicised over the past 2 decades for identifying those most likely to have osteoporosis or low BMD, or at increased risk of fragility fracture. The Osteoporosis Self-assessment Tool index (OSTi) is one of the oldest, simplest, and widely used for identifying men and women with low BMD or osteoporosis. OSTi has been validated in many cohorts worldwide but large studies with robust analyses evaluating this or other algorithms in adult populations residing in the Republic of Ireland are lacking, where waiting times for public DXA facilities are long. In this study we evaluated the validity of OSTi in men and women drawn from a sampling frame of more than 36,000 patients scanned at one of 3 centres in the West of Ireland. 18,670 men and women aged 40 years and older had a baseline scan of the lumbar spine femoral neck and total hip available for analysis. 15,964 (86%) were female, 5,343 (29%) had no major clinical risk factors other than age, while 5,093 (27%) had a prior fracture. Approximately 2/3 had a T-score ≤-1.0 at one or more skeletal sites and 1/3 had a T-score ≤-1.0 at all 3 skeletal sites, while 1 in 5 had a DXA T-score ≤-2.5 at one or more skeletal sites and 5% had a T-score ≤-2.5 at all 3 sites. OSTi generally performed well in our population with area under the curve (AUC) values ranging from 0.581 to 0.881 in men and 0.701 to 0.911 in women. The performance of OSTi appeared robust across multiple sub-group analyses. AUC values were greater for women, proximal femur sites, those without prior fractures and those not taking osteoporosis medication. Optimal OSTi cut-points were '2' for men and '0' for women in our study population. OSTi is a simple and effective tool to aid identification of Irish men and women with low BMD or osteoporosis. Use of OSTi could improve the effectiveness of DXA screening programmes for older adults in Ireland.

Budget impact analysis of an early identification and referral model for diagnosing patients with suspected rheumatoid arthritis in Ireland.

OBJECTIVE: To estimate the budget impact from the perspective of the Irish health-care system attributable to a reconfiguration in the diagnostic care pathway for patients with suspected RA by adopting an early identification and referral model (EIM). METHODS: The budget impact model evaluated the total health-care use and costs attributable to an EIM to diagnose patients with suspected RA relative to the reference scenario of current practice. The modelling also assessed a primary outcome of effect, which examined how many patients can be diagnosed by a rheumatologist within 3 months of symptom onset. The budget impact analysis model was estimated over a 5-year time frame. RESULTS: The EIM generated a cost saving for the Irish health-care system of €237 547 over the time frame relative to current practice. The cost savings were realized owing to a reduction in the number of general practitioner (GP) visits of 18 790 and a reduction in diagnostic tests carried out by GPs. The results showed that 1027 (510%) more patients were diagnosed within 3 months of symptom onset in the EIM compared with current practice. CONCLUSION: This paper has presented an alternative rheumatologist-led service design that can be used in diagnosing patients with suspected RA. The rheumatologist-led service provision detailed in this study has the potential simultaneously to reduce demand for primary care services and to improve the health outcomes of patients. The use of an EIM sees rheumatologist activity incorporate patient demand.

A systematic review of the Irish osteoporotic vertebral fracture literature.

INTRODUCTION: Vertebral fractures (VF) are the most common osteoporotic fracture. They are associated with significant morbidity and mortality and are an important predictor of future fractures. The epidemiology of VF in Ireland is limited and a greater understanding of their scale and impact is needed. Therefore, we conducted a systematic review of publications on osteoporotic VF in Ireland. METHODS: Systematic searches were conducted using PubMed, Medline, Embase, Scopus and Cochrane electronic databases to identify eligible publications from Ireland addressing osteoporotic VF. RESULTS: Twenty studies met the inclusion criteria out of 1558 citations. All studies were published since 2000. Data was obtained on 182,771 patients with fractures. Nine studies included more than 100 subjects and three included more than 1000. Females accounted for 70% with an overall mean age of 65.2 years (30-94). There was significant heterogeneity in study design, methods and outcome measures including the following: use of administrative claims data on public hospital admissions, surgical and medical interventions, the impact of a fracture liaison service and the osteoporosis economic burden. The prevalence of VF was difficult to ascertain due to definitions used and differences in the study populations. Only two studies systematically reviewed spine imaging using blinded assessors and validated diagnostic criteria to assess the prevalence of fractures in patient cohorts. CONCLUSIONS: Several studies show that VF are common when addressed systematically and the prevalence may be rising. However, there is a deficit of large studies systematically addressing the epidemiology and their importance in Ireland.

The prevalence of aortic calcification on vertebral fracture assessment imaging among patients with rheumatoid arthritis.

Patients with rheumatoid arthritis (RA) are at increased risk of osteoporosis (OP) and cardiovascular disease (CVD). Dual-energy X-ray absorptiometry scans have been validated for identifying patients with RA at risk for fracture. Reliable CVD risk stratification remains an unmet need in this population. Vertebral fracture assessment (VFA)-detected abdominal aortic calcification (AAC) has been validated as a marker of CVD in other populations, but the prevalence among patients with RA is unknown. In this study, we determined the prevalence and severity of AAC on VFA scans in a cohort of patients with RA. AAC was detected in 211 of the 603 (35%) eligible subjects; 24% were graded as severe. In multivariable analyses, the presence of AAC was significantly associated with longer disease duration and higher disease activity (p<0.05). Further studies are needed on the relationship between AAC and CVD in patients with RA.

Vertebral fracture assessment-detected abdominal aortic calcification and cardiovascular disease in rheumatoid arthritis.

OBJECTIVE: Individuals with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD). Traditional prediction tools underestimate this risk. Vertebral fracture assessment (VFA)-detected aortic calcification enhances CVD risk stratification in the general population but its relationship in RA is unclear. We assessed the presence of abdominal aortic calcification (AAC) on VFA images, and its association with CVD in RA patients. METHODS: We determined the prevalence of cardiovascular events in a cohort of RA patients aged 40 years and older fulfilling the 1987 American College of Rheumatology classification criteria. Two blinded radiologists independently reviewed all VFA scans to determine the presence/severity of AAC using an established 24-point scale. Logistic regression analyses were performed to determine whether AAC could discriminate between RA patients with and without CVD, and to compare the ability of VFA-detected AAC to predict CVD to conventional CVD risk factors and the Framingham Risk Score. RESULTS: 603 subjects fulfilled study inclusion criteria. 230 (38%) subjects had 1 or more documented CVD event and 211 (35%) had AAC detected on VFA scans. Significantly more subjects with cardiovascular events had AAC on their VFA scans than controls (76% versus 10%; P < 0.05). VFA-detected AAC was a better predictor of CVD than traditional risk factors, and significantly out-performed the Framingham Risk Score for discriminating between the presence and absence of CVD (AUC 0.85 versus 0.58; P < 0.001). CONCLUSION: There was a significant association between VFA-detected AAC and CVD in our study population. This finding may enhance cardiovascular disease risk prediction in RA patients.

The prevalence of vertebral fracture on vertebral fracture assessment imaging in a large cohort of patients with rheumatoid arthritis.

OBJECTIVE: RA accelerates bone loss, increasing the risk of osteoporosis (OP) and fracture. DXA imaging has been validated for identifying RA patients at risk of fracture. The objective of this study was to assess the presence of asymptomatic vertebral fractures (VFs) in a cohort of patients with established RA referred for DXA using VF assessment (VFA) technology. METHODS: We determined the prevalence of VFs in a cohort of RA patients age ≥ 40 years fulfilling the 1987 ACR classification criteria. Two blinded radiologists independently reviewed all VFA scans to determine the presence and severity of VFs using Genant criteria. We compared the prevalence and severity of VFs between RA patients and determined the independent associations of different variables with VFs using multivariable logistic regression. RESULTS: Six hundred and three subjects fulfilled study inclusion criteria. Thirteen per cent of the entire cohort (77/603) had one or more vertebral deformities identified on VFA imaging: 58% were female with mean age 56 years. The prevalence of OP and osteopenia was 59% and 40%, respectively. The prevalence and severity of VFs showed significant correlation with spine T-scores (r = -0.37, P < 0.001) and femoral T-scores (r = -0.31, P < 0.001). In multivariable analyses VFs were significantly and independently associated with a longer duration of RA, markers of disease activity and severity. CONCLUSION: VFs were detected on VFA images in 13% of women and men with well-established RA referred for DXA testing. Longer duration and severity of RA disease were independent risk factors for fractures in our study.