Severity of vertebral fracture and risk of hip fracture: a nested case-control study

Does locomotive syndrome severity predict future fragility fractures in community-dwelling women with osteoporosis?

OBJECTIVES

We investigated whether the locomotive syndrome (LS) severity affects future fragility fractures in osteoporosis patients.

METHODS

In this retrospective cohort study, 315 women with osteoporosis (mean follow-up period, 2.8 years) were reviewed, of whom 244 were included in the analysis. At baseline, we obtained medical information, bone mineral density of the lumbar spine and femoral neck, and sagittal vertical axis. Additionally, LS risk was assessed using the two-step test, stand-up test, and 25-question geriatric locomotive function scale scores. The LS risk test results were used to classify LS severity, which was rated on a 4-point scale from stage 0 (robust) to 3 (worsening). Cox proportional hazards regression analysis was used to determine the association of the severity with future fragility fracture.

RESULTS

Fragility fractures occurred in 37 of 315 participants (11.8%). This study showed that sagittal vertical axis (hazard ratio = 1.014; 95% confidence interval, 1.005-1.023; p value = 0.003) and LS severity (hazard ratio =1.748; 95% confidence interval, 1.133-2.699; p = 0.012) were independent risk factors for incidence of fragility fracture.

CONCLUSIONS

This study revealed the LS severity to predicted fragility fractures. We suggested that the progression of LS associated with osteoporosis increases the fracture risk.

Osteoporotic mid-thoracic vertebral body fractures: what are the differences compared to fractures of the lumbar spine?-a systematic review

Purpose

The aim of this systematically review is to detect differences between fractures located at the mid-thoracic spine compared to fractures of the thoracolumbar junction (TLJ) and the lumbar spine in osteoporotic vertebral body fractures.

Methods

This review is based on articles retrieved by a systematic search in the PubMed and Web of Science database for publications regarding osteoporotic fractures of the thoracolumbar spine with respect to the fracture location. Differences in prevalence, cause of fracture, fracture healing, and outcomes between the mid-thoracic spine and the TLJ and the lumbar spine were considered.

Results

Altogether, 238 articles could be retrieved from the literature search. A total of 222 articles were excluded. Thus, 16 remaining original articles were included in this systematic review comprising the topics prevalence, bone mineral density and regional blood flow, biomechanics, subsequent fractures, and outcome, respectively. The overall level of evidence of the vast majority of studies was moderate to low.

Conclusion

Several differences between osteoporotic fractures of the mid-thoracic spine compared to the TLJ and the lumbar spine could be identified. Thereby, osteoporotic mid-thoracic fractures seem to be particularly more related to frailty without a history of traumatic injury compared to osteoporotic fractures of the TLJ and the lumbar spine. Additionally, the presence of severe mid-thoracic fractures predicts subsequent fractures of the hip. In contrast, subsequent fractures of the spine are less likely.

Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?

BACKGROUND

Vertebral fractures are the most common osteoporotic fractures in older individuals. Recent studies suggest that the performance of artificial intelligence is equal to humans in detecting osteoporotic fractures, such as fractures of the hip, distal radius, and proximal humerus. However, whether artificial intelligence performs as well in the detection of vertebral fractures on plain lateral spine radiographs has not yet been reported.

QUESTIONS/PURPOSES

(1) What is the accuracy, sensitivity, specificity, and interobserver reliability (kappa value) of an artificial intelligence model in detecting vertebral fractures, based on Genant fracture grades, using plain lateral spine radiographs compared with values obtained by human observers? (2) Do patients' clinical data, including the anatomic location of the fracture (thoracic or lumbar spine), T-score on dual-energy x-ray absorptiometry, or fracture grade severity, affect the performance of an artificial intelligence model? (3) How does the artificial intelligence model perform on external validation?

METHODS

Between 2016 and 2018, 1019 patients older than 60 years were treated for vertebral fractures in our institution. Seventy-eight patients were excluded because of missing CT or MRI scans (24% [19]), poor image quality in plain lateral radiographs of spines (54% [42]), multiple myeloma (5% [4]), and prior spine instrumentation (17% [13]). The plain lateral radiographs of 941 patients (one radiograph per person), with a mean age of 76 ± 12 years, and 1101 vertebral fractures between T7 and L5 were retrospectively evaluated for training (n = 565), validating (n = 188), and testing (n = 188) of an artificial intelligence deep-learning model. The gold standard for diagnosis (ground truth) of a vertebral fracture is the interpretation of the CT or MRI reports by a spine surgeon and a radiologist independently. If there were any disagreements between human observers, the corresponding CT or MRI images would be rechecked by them together to reach a consensus. For the Genant classification, the injured vertebral body height was measured in the anterior, middle, and posterior third. Fractures were classified as Grade 1 (< 25%), Grade 2 (26% to 40%), or Grade 3 (> 40%). The framework of the artificial intelligence deep-learning model included object detection, data preprocessing of radiographs, and classification to detect vertebral fractures. Approximately 90 seconds was needed to complete the procedure and obtain the artificial intelligence model results when applied clinically. The accuracy, sensitivity, specificity, interobserver reliability (kappa value), receiver operating characteristic curve, and area under the curve (AUC) were analyzed. The bootstrapping method was applied to our testing dataset and external validation dataset. The accuracy, sensitivity, and specificity were used to investigate whether fracture anatomic location or T-score in dual-energy x-ray absorptiometry report affected the performance of the artificial intelligence model. The receiver operating characteristic curve and AUC were used to investigate the relationship between the performance of the artificial intelligence model and fracture grade. External validation with a similar age population and plain lateral radiographs from another medical institute was also performed to investigate the performance of the artificial intelligence model.

RESULTS

The artificial intelligence model with ensemble method demonstrated excellent accuracy (93% [773 of 830] of vertebrae), sensitivity (91% [129 of 141]), and specificity (93% [644 of 689]) for detecting vertebral fractures of the lumbar spine. The interobserver reliability (kappa value) of the artificial intelligence performance and human observers for thoracic and lumbar vertebrae were 0.72 (95% CI 0.65 to 0.80; p < 0.001) and 0.77 (95% CI 0.72 to 0.83; p < 0.001), respectively. The AUCs for Grades 1, 2, and 3 vertebral fractures were 0.919, 0.989, and 0.990, respectively. The artificial intelligence model with ensemble method demonstrated poorer performance for discriminating normal osteoporotic lumbar vertebrae, with a specificity of 91% (260 of 285) compared with nonosteoporotic lumbar vertebrae, with a specificity of 95% (222 of 234). There was a higher sensitivity 97% (60 of 62) for detecting osteoporotic (dual-energy x-ray absorptiometry T-score ≤ -2.5) lumbar vertebral fractures, implying easier detection, than for nonosteoporotic vertebral fractures (83% [39 of 47]). The artificial intelligence model also demonstrated better detection of lumbar vertebral fractures compared with detection of thoracic vertebral fractures based on the external dataset using various radiographic techniques. Based on the dataset for external validation, the overall accuracy, sensitivity, and specificity on bootstrapping method were 89%, 83%, and 95%, respectively.

CONCLUSION

The artificial intelligence model detected vertebral fractures on plain lateral radiographs with high accuracy, sensitivity, and specificity, especially for osteoporotic lumbar vertebral fractures (Genant Grades 2 and 3). The rapid reporting of results using this artificial intelligence model may improve the efficiency of diagnosing vertebral fractures. The testing model is available at http://140.113.114.104/vght_demo/corr/. One or multiple plain lateral radiographs of the spine in the Digital Imaging and Communications in Medicine format can be uploaded to see the performance of the artificial intelligence model.

LEVEL OF EVIDENCE

Level II, diagnostic study.

Comparison of the Characteristics of Back Pain in Women with Postmenopausal Osteoporosis with and without Vertebral Compression Fracture: A Retrospective Study at a Single Osteoporosis Center in Poland

Background

The incidence of unspecific back pain and osteoporotic vertebral compression fractures increases significantly with age. Considering the difficulties in the diagnosis of spontaneous osteoporotic vertebral fractures, this retrospective study aimed to compare the characteristics of back pain in women with postmenopausal osteoporosis with and without vertebral compression fractures.

Material/Methods

This study enrolled 334 women with postmenopausal osteoporosis; 150 had vertebral fractures, and 184 had no vertebral fractures. Densitometric vertebral fracture assessment and bone mineral density measurements in the central skeleton were performed for each patient. The participants completed a survey about features of their back pain.

Results

Patients with vertebral fractures had more severe back pain based on the numeric rating scale: 6.14 vs 4.33 (P<0.001, odds ratio [OR]=1.43, 95% confidence interval [CI]: 1.29–1.59). Among these individuals, back pain caused reduction in normal activity during the day (P<0.001, OR=4.68, 95% CI: 2.86–7.68), and pain occurred more often (P<0.001, OR=1.77, 95% CI: 1.47–2.13), lasted longer (P<0.001, OR=2.01, 95% CI: 1.65–2.46), predominantly occurred in the lumbar spine (P<0.001, OR=4.70, 95% CI: 1.96–11.29), and intensified during normal everyday activities (P<0.001). Based on these results, a new survey was created. It demonstrated a sensitivity of 70.67% and a specificity of 67.37% in predicting a current compression fracture.

Conclusions

Patients with vertebral compression fractures experience higher pain intensity and exhibit specific features of back pain. The new survey can be considered a supportive tool in assessing the possibility of vertebral compression fractures.

Vertebral fracture assessment (VFA) for osteoporosis screening in US postmenopausal women: is it cost-effective?

Vertebral fracture assessment (VFA) is cost-effective when it was incorporated in the routine screening for osteoporosis in community-dwelling women aged ≥ 65 years, which support guidelines, such as the National Osteoporosis Foundation (NOF) for the diagnostic use of VFA as an important addition to fracture risk assessment.

INTRODUCTION

To evaluate the cost-effectiveness of VFA as a screening tool to reduce future fracture risk in US community-dwelling women aged ≥ 65 years.

METHODS

An individual-level state-transition cost-effectiveness model from a healthcare perspective was constructed using derived data from published literature. The time horizon was lifetime. Five screening strategies were compared, including no screening at all, central dual-energy X-ray absorptiometry (DXA) only, VFA only, central DXA followed by VFA if the femoral neck T-score (FN-T) ≤ - 1.5, or if the FN-T ≤ - 1.0. Various initiation ages and rescreening intervals were evaluated. Oral bisphosphonate treatment for 5-year periods was assumed. Incremental cost-effectiveness ratios (2017 US dollars per quality-adjusted life-year (QALY) gained) were used as the outcome measure.

RESULTS

The incorporation of VFA slightly increased life expectancy by 0.1 years and reduced the number of subsequent osteoporotic fractures by 3.7% and 7.7% compared with using DXA alone and no screening, respectively, leading to approximately 30 billion dollars saved. Regardless of initiation ages and rescreening intervals, central DXA followed by VFA if the FN-T ≤ - 1.0 was most cost-effective ($40,792 per QALY when the screening is initiated at age 65 years and with rescreening every 5 years). Results were robust to change in VF incidence and medication costs.

CONCLUSION

In women aged ≥ 65 years, VFA is cost-effective when it was incorporated in routine screening for osteoporosis. Our findings support the National Osteoporosis Foundation (NOF) guidelines for the diagnostic use of VFA as an important addition to fracture risk assessment.

Identification of prevalent vertebral fractures using Vertebral Fracture Assessment (VFA) in asymptomatic postmenopausal women: A systematic review and meta-analysis

BACKGROUND

Vertebral fracture (VF) is the most common osteoporotic fracture in postmenopausal women, although most VFs are subclinical. Prevalent VFs are a significant predictor of subsequent fracture and therefore, identification of VF improves the identification of those with high fracture risk. The aim of present study was to systematically review the literature that assessed the prevalence of VF in asymptomatic postmenopausal women, using Vertebral Fracture Assessment (VFA) by dual-energy X-ray absorptiometry.

METHOD

Medline, Web of Science and Cochrane databases were searched between Jan 1st, 2000 and Jan 31st, 2018, for publications in English that reported the prevalence of VFA-detected VF in asymptomatic postmenopausal women. We also searched for reports, conference papers and grey literature. Reviewers screened studies for eligibility and extracted data for included studies. Random effects meta-analyses were performed to calculate the prevalence of VF. The presence of publication bias was assessed using funnel plots by precision and Egger's Test of the Intercept.

RESULTS

A total of 1777 articles were identified, 94 studies were fully reviewed and 28 studies (n = 25,418) met the inclusion criteria and were analyzed. More than two thirds of the studies were cross-sectional and the sample size varied widely across the studies (from 63 to 5156). The mean age ranged from 59.5 to 86.2 years old. The prevalence of osteoporosis and osteopenia varied between 6-57.0% and 25.1-58.9%, respectively. However, among women who had prevalent VFs, up to 43% had osteopenia and as many as 32% had normal bone density. The weighted pooled prevalence of VFA-detected VF in asymptomatic women was 28% (95% CI: 23%-32%).

CONCLUSION

VFA is able to identify prevalent VF in asymptomatic postmenopausal women. The use of VFA identified an average of 28% of asymptomatic women with VFs, many of whom did not have a diagnosis of osteoporosis. Implementation of VFA as a routine screening tool may detect high risk women. Detection of VF might lead to pharmacological treatment in individuals who may not otherwise be treated.

How Does Obesity Influence the Risk of Vertebral Fracture? Findings From the UK Biobank Participants

Obesity and osteoporotic‐related fractures are two common public health problems, although it is unclear how obesity affects the risk of vertebral fractures. The purpose of this study was to examine the association between different measures of obesity and the risk of vertebral fracture, and to establish the various clinical factors that can predict such risk. We analyzed data obtained from 502,543 participants in the UK Biobank (229,138 men and 273,405 women), aged 40 to 69 years. Imaging information was available in a subset of this cohort (5189 participants: 2473 men and 2716 women). We further examined how BMD and geometry of the vertebrae were related to body fat measures. It was shown that a larger waist circumference (WC), but not BMI, was associated with an increase in fracture risk in men, but in women, neither BMI nor WC affected the risk. Trunk fat mass, visceral adipose tissue (VAT) mass, and limb fat mass were negatively associated with vertebral body BMD and geometry in men and women. BMD and geometry are related to vertebral strength, but may not be directly related to the risk of fractures, which is also influenced by other factors. The binary logistic regression equation established in this study may be useful to clinicians for the prediction of vertebral fracture risks, and may provide further information to supplement the fracture risk assessment tool, which assesses general fracture risks. © 2020 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of American Society for Bone and Mineral Research.

DIAGNOSIS OF ENDOCRINE DISEASE: Evaluation of bone fragility in endocrine disorders

An underlying disease affecting bone health is present in up to 40% and 60% of osteoporotic post-menopausal women and men respectively. Among the disorders leading to a secondary form of osteoporosis, the endocrine diseases are highly represented. A frequent finding in patients affected with an endocrine-related forms of bone disease is that the skeletal fragility is partially independent of the bone density, since the fracture risk in these patients is related more to a reduction of bone quality than to a decrease of bone mass. As a consequence, bone mineral density evaluation by dual-X-ray Absorptiometry may be inadequate for establishing the risk of fracture in the setting of the endocrine-related forms of osteoporosis. In the recent years several attempts to non-invasively estimating bone quality have been done. Nowadys, some new tools are available in the clinical practice for optimizing the fracture risk estimation in patients with endocrine disorders. The aim of this review is to summarise the evidences regarding the role of the different imaging tools for evaluating bone density and bone quality in the most frequent forms of endocrine-related osteoporosis, such as obesity, diabetes, acromegaly, thyrotoxicosis, primary hyperparathyroidism, hypercortisolism and hypogonadism. For each of these disorders, data regarding both the current available tools and the future possible new techniques for assessing bone fragility in patients with endocrine diseases are reported.

Fracture after gastrectomy for gastric cancer: A long-term follow-up observational study

AIM

Gastrectomy is a known risk factor for decreased bone mass. We aimed to evaluate the cumulative incidence and predictive factors of fracture in gastric cancer patients who underwent gastrectomy.

METHOD

We retrospectively reviewed the records of 1687 patients who underwent gastrectomy for gastric cancer at our hospital between September 1991 and December 2008. The exclusion criteria were stage IV gastric cancer, history of cancer recurrence, medical conditions that cause osteoporosis and high-energy injury. Fractures at sites considered to be associated with osteoporosis were diagnosed radiologically.

RESULTS

In total, our analysis included the records of 1131 patients. The incidence of postgastrectomy fracture was 42.1 cases per 1000 person-years. Fractures typically occurred within 3.7 ± 0.5 years postoperatively. The cumulative incidence of fracture was 9.1%, 19.7%, and 37.3% by postoperative year 2, 4, and 6, respectively. During the following years, the cumulative incidence increased slowly, up to a final 40.6%. Multivariate analysis showed that older age (hazard ratio, 1.03; 95% confidence interval, 1.01-1.04) and smoking (hazard ratio, 1.35; 95% confidence interval, 1.05-1.73) were significantly associated with fracture, whereas sex, body mass index, percent weight loss, diabetes mellitus, tumour stage, and type of gastrectomy were not.

CONCLUSION

The cumulative incidence of fracture is high in gastric cancer patients who have undergone gastrectomy, and fracture rate is higher during the early postoperative period. Old age and smoking are independent risk factors for postgastrectomy fracture in these patients. More detailed postoperative surveillance and pharmacological intervention should be considered to prevent fracture.

High mortality and poor morbidity after hip fracture in patients with previous vertebral fractures

Although vertebral fracture in patients is a predictor of subsequent hip fracture, no study has assessed the mortality and functional outcome in hip fracture patients with previous vertebral fracture. Between September 2009 and December 2012, we evaluated 246 patients over 50-years-of-age diagnosed with femoral neck or intertrochanteric fractures who underwent surgery. The patients were categorized into two groups and two subgroups. Group Ia comprised 150 patients with previous vertebral fracture at the time of hip fracture. Group Ib comprised 96 patients with no vertebral fracture. Group IIa consisted of 76 patients <80-years-of-age with previous vertebral fracture. Group IIb comprised 69 patients <80-years-of-age without previous vertebral fracture. The mortality rate and functional outcome of osteoporotic hip fracture patients with and without vertebral fractures were compared. The cumulative mortality rate at 6 and 12 months post-fracture was 19 and 23 % in Group Ia and 6 and 7 % in Group Ib, respectively. In subgroup analysis, the cumulative mortality rate at 6 and 12 months was 13 and 17 % in Group IIa and 3 and 4 % in Group IIb, respectively. Shut-in patients at the final follow-up included 51 of 103 (49.5 %) patients in Group Ia and 19 of 83 (22.9 %) patients in Group Ib. In subgroup analysis, the shut-in patients included 18 of 58 (31.0 %) patients in Group IIa and 10 of 62 (16.1 %) patients in Group IIb. Previous vertebral fracture was associated with a poor functional outcome and increased mortality in patients with hip fracture.

Prevalence of vertebral fractures and minor vertebral deformities evaluated by DXA-assisted vertebral fracture assessment (VFA) in a population-based study of postmenopausal women: the FRODOS study

Population-based studies performed with vertebral fracture assessment (VFA) morphometric technology are lacking in postmenopausal osteoporosis. In this study, we show a lower than expected prevalence of vertebral fractures, a high prevalence of minor vertebral deformities, and a clear association with clinical and densitometric parameters indicating the usefulness of this approach.

INTRODUCTION

Adequate epidemiological data on the prevalence of vertebral fractures (VF) is essential in studies of postmenopausal osteoporosis. Routine DXA-assisted VFA may be useful to determine the presence of VF. However, population-based studies performed with this technology are lacking. We aimed to assess the prevalence of VF and minor deformities in 2,968 postmenopausal women aged 59-70 years from a population-based cohort.

METHODS

VFA and bone mineral density (BMD) measurements were conducted, and McCloskey criteria (vertebral heights under 3 SD from reference values) confirmed with the Genant method were used to define VF. Additionally, minor vertebral deformities (vertebral heights between -2 and -2.99 SD) were evaluated.

RESULTS

The prevalence of VF was 4.3%, and 17% of the participants had minor vertebral deformities. Low BMD was frequently observed in women with VF, with 4%, and 42% of participants showing osteoporosis and osteopenia. Minor vertebral deformities were observed in nearly 40% of women with VF. Multivariate logistic regression analysis showed that age, history of previous fracture, osteoporotic BMD, receiving anti-osteoporotic treatment, and current use of glucocorticoids were significantly associated with VF.

CONCLUSIONS

Although the VFA approach showed a lower than expected prevalence of VF in our cohort, its association with clinical and densitometric parameters may be useful to identify women at risk for developing fragility fractures and may therefore justify its use in longitudinal studies. The high prevalence of minor vertebral deformities detected in patients with VF indicates the need to evaluate this type of deformity as a risk factor for further skeletal fractures.

Mild morphometric vertebral fractures predict vertebral fractures but not non-vertebral fractures

In this meta-analysis of the control arms of four phase 3 trials, mild vertebral fractures were a significant risk factor for future vertebral fractures but not for non-vertebral fracture.

INTRODUCTION

A prior vertebral fracture is a risk factor for future fracture that is commonly used as an eligibility criterion for treatment and in the assessment of fracture probability. The aim of this study was to determine the prognostic significance of a morphometric fracture according to the severity of fracture.

METHODS

We examined the control (placebo) treated arms of four phase 3 trials. Vertebral fracture status was graded at baseline in 7,623 women, and fracture outcomes were documented over the subsequent 20,000 patient-years. Fracture outcomes were characterised as a further vertebral fracture, a non-vertebral fracture or a clinical fracture (non-vertebral plus clinical vertebral fracture). The relative risk of fracture was computed from the merged β coefficients of each trial weighted according to the variance.

RESULTS

Mild vertebral fractures were a significant risk factor for vertebral fractures [risk ratio (RR) = 2.17; 95% CI = 1.70-2.76] but were not associated with an increased risk of non-vertebral fractures (RR = 1.08; 95% CI = 0.86-1.36). Moderate/severe vertebral fractures were associated with a high risk of vertebral fractures (RR = 4.23; 95% CI = 3.58-5.00) and a moderate though significant increase in non-vertebral fracture risk (RR = 1.64; 95% CI = 1.38-1.94).

CONCLUSIONS

Prior moderate/severe morphometric vertebral fractures are a strong and significant risk factor for future fracture. The presence of a mild vertebral fracture is of no significant prognostic value for non-vertebral fractures. These findings should temper the use of morphometric fractures in the assessment of risk and the design of phase 3 studies.

The assessment of vertebral fractures in elderly women with recent hip fractures: the BREAK Study

This study aimed to evaluate the prevalence of vertebral fractures in elderly women with a recent hip fracture. The burden of vertebral fractures expressed by the Spinal Deformity Index (SDI) is more strictly associated with the trochanteric than the cervical localization of hip fracture and may influence short-term functional outcomes.

INTRODUCTION

This study aimed to determine the prevalence and severity of vertebral fractures in elderly women with recent hip fracture and to assess whether the burden of vertebral fractures may be differently associated with trochanteric hip fractures with respect to cervical hip fractures.

METHODS

We studied 689 Italian women aged 60 years or over with a recent low trauma hip fracture and for whom an adequate X-ray evaluation of spine was available. All radiographs were examined centrally for the presence of any vertebral deformities and radiological morphometry was performed. The SDI, which integrates both the number and the severity of fractures, was also calculated.

RESULTS

Prevalent vertebral fractures were present in 55.7% of subjects and 95 women (13.7%) had at least one severe fracture. The women with trochanteric hip fracture showed higher SDI and higher prevalence of diabetes with respect to those with cervical hip fracture, p=0.017 and p=0.001, respectively. SDI, surgical menopause, family history of fragility fracture, and type2 diabetes mellitus were independently associated with the risk of trochanteric hip fracture. Moreover, a higher SDI was associated with a higher percentage of post-surgery complications (p=0.05) and slower recovery (p<0.05).

CONCLUSIONS

Our study suggests that the burden of prevalent vertebral fractures is more strictly associated with the trochanteric than the cervical localisation of hip fracture and that elevated values of SDI negatively influence short term functional outcomes in women with hip fracture.

Fracture risk and zoledronic acid therapy in men with osteoporosis

BACKGROUND

Fractures in men are a major health issue, and data on the antifracture efficacy of therapies for osteoporosis in men are limited. We studied the effect of zoledronic acid on fracture risk among men with osteoporosis.

METHODS

In this multicenter, double-blind, placebo-controlled trial, we randomly assigned 1199 men with primary or hypogonadism-associated osteoporosis who were 50 to 85 years of age to receive an intravenous infusion of zoledronic acid (5 mg) or placebo at baseline and at 12 months. Participants received daily calcium and vitamin D supplementation. The primary end point was the proportion of participants with one or more new morphometric vertebral fractures over a period of 24 months.

RESULTS

The rate of any new morphometric vertebral fracture was 1.6% in the zoledronic acid group and 4.9% in the placebo group over the 24-month period, representing a 67% risk reduction with zoledronic acid (relative risk, 0.33; 95% confidence interval, 0.16 to 0.70; P=0.002). As compared with men who received placebo, men who received zoledronic acid had fewer moderate-to-severe vertebral fractures (P=0.03) and less height loss (P=0.002). Fewer participants who received zoledronic acid had clinical vertebral or nonvertebral fractures, although this difference did not reach significance because of the small number of fractures. Bone mineral density was higher and bone-turnover markers were lower in the men who received zoledronic acid (P<0.05 for both comparisons). Results were similar in men with low serum levels of total testosterone. The zoledronic acid and placebo groups did not differ significantly with respect to the incidence of death (2.6% and 2.9%, respectively) or serious adverse events (25.3% and 25.2%).

CONCLUSIONS

Zoledronic acid treatment was associated with a significantly reduced risk of vertebral fracture among men with osteoporosis. (Funded by Novartis Pharma; ClinicalTrials.gov number, NCT00439647.).

Important risk factors and attributable risk of vertebral fractures in the population-based Tromsø study

Background

Vertebral fractures, the most common type of osteoporotic fractures, are associated with increased risk of subsequent fracture, morbidity, and mortality. The aim of this study was to examine the contribution of important risk factors to the variability in vertebral fracture risk.

Methods

Vertebral fracture was ascertained by VFA method (DXA, GE Lunar Prodigy) in 2887 men and women, aged between 38 and 87 years, in the population-based Tromsø Study 2007/2008. Bone mineral density (BMD; g/cm²) at the hip was measured by DXA. Lifestyle information was collected by questionnaires. Multivariable logistic regression model, with anthropometric and lifestyle factors included, was used to assess the association between each or combined risk factors and vertebral fracture risk. Population attributable risk was estimated for combined risk factors in the final multivariable model.

Results

In both sexes, age (odds ratio [OR] per 5 year increase: 1.32; 95% CI 1.19-1.45 in women and 1.21; 95% CI 1.10-1.33 in men) and BMD (OR per SD decrease: 1.60; 95% CI 1.34-1.90 in women and1.40; 95% CI 1.18-1.67 in men) were independent risk factors for vertebral fracture. At BMD levels higher than 0.85 g/cm², men had a greater risk of fracture than women (OR 1.52; 95% CI 1.14-2.04), after adjusting for age. In women and men, respectively, approximately 46% and 33% of vertebral fracture risk was attributable to advancing age (more than 70 years) and low BMD (less than 0.85 g/cm²), with the latter having a greater effect than the former.

Conclusions

These data confirm that age and BMD are major risk factors for vertebral fracture risk. However, in both sexes the two factors accounted for less than half of fracture risk. The identification of individuals with vertebral fracture is still a challenge.

Hypovitaminosis D and prevalent asymptomatic vertebral fractures in Moroccan postmenopausal women

BACKGROUND

Hypovitaminosis D is associated to accentuated bone loss. However, association between osteoporotic vertebral fractures (VFs) and vitamin D status has not been clearly established.

OBJECTIVE

To determine serum vitamin D status and to assess the association of vitamin D status with bone mineral density (BMD) and asymptomatic VFs prevalence using vertebral fracture assessment (VFA) in a cohort of Moroccan menopausal women.

METHODS

from June to September 2010, 178 menopausal women 50 years old and over were enrolled in this cross-sectional study. The mean ± SD (range) age, weight, height and BMI were 58.8 ± 8.2 (50 to 79) years, 73.2 ± 13.8 (35 to 119) Kgs, 1.56 ± 0.06 (1.43 - 1.79) m and 29.8 ± 5.9 (17.5 - 49.8) kg/m2, respectively. VFA images and scans of the lumbar spine and proximal femur were obtained using a GE Healthcare Lunar Prodigy densitometer. VFs were defined using a combination of Genant semiquantitative approach and morphometry. Serum levels of 25-hydroxyvitamin D (25(OH)D) were measured.

RESULTS

Among the 178 women, 45 (25.2%) had densitometric osteoporosis, and on VFA, VFs (grade 2 or 3) were detected in 20.2% while grade 1 were identified in 33.1%. The mean values of serum levels of 25(OH)D were 15.8 ± 11.6 ng/ml (range: 3.0 - 49.1) with 152 patients (85.3%) having levels <30 ng/ml (insufficiency) and 92 (51.6%) <10 ng/ml (deficiency). Stepwise regression analysis showed that presence of VFs was independently related to age, 25(OH)D and densitometric osteoporosis.

CONCLUSION

our study shows that advanced age, hypovitaminosis D and osteoporosis are independent risk factors for asymptomatic VFs in Moroccan postmenopausal women.

Prevalence of vertebral fractures in women and men in the population-based Tromsø Study

Background

Osteoporotic vertebral fractures are, as the hip fractures, associated with increased morbidity and mortality. Norway has one of the highest reported incidences of hip fractures in the world. Because of methodological challenges, vertebral fractures are not extensively studied. The aim of this population based study was to describe, for the first time, the age- and sex specific occurrence of osteoporotic vertebral fractures in Norway.

Methods

Data was collected in the Tromso Study, 2007/8 survey. By the use of dual x-ray absorptiometry (GE Lunar Prodigy) vertebral fracture assessments were performed in 2887 women and men aged from 38 to 87 years, in addition to measurements of bone mineral density at the femoral sites. Information on lifestyle was collected through questionnaires. Comparisons between fractures and non-fractures were done sex stratified, by univariate analyses, adjusting for age when relevant.

Results

The prevalence of vertebral fractures varied from about 3% in the age group below 60 to about 19% in the 70+ group in women, and from 7.5% to about 20% in men, with an overall prevalence of 11.8% in women and 13.8% in men (p = 0.07). Among those with fractures, only one fracture was the most common; two and more fractures were present in approximately 30% of the cases. Fractures were seen from the fourth lumbar to the fifth thoracic vertebrae, most common between first lumbar and sixth thoracic vertebrae. The most common type of fracture was the wedge type in both sexes. Bone mineral density at the hip differed significantly according to type of fracture, being highest in those with wedge fractures and lowest in those with compression fractures.

Conclusions

The prevalence of vertebral fractures increased by age in women and men, but the overall prevalence was lower than expected, considering the high prevalence of hip and forearm fractures in Norway. In both sexes, the wedge type was the fracture type most frequently observed and most common in the thoracic region.

Interpretation and use of FRAX in clinical practice

The introduction of the WHO FRAX® algorithms has facilitated the assessment of fracture risk on the basis of fracture probability. Its use in fracture risk prediction has strengths, but also limitations of which the clinician should be aware and are the focus of this review

INTRODUCTION

The International Osteoporosis Foundation (IOF) and the International Society for Clinical Densitometry (ISCD) appointed a joint Task Force to develop resource documents in order to make recommendations on how to improve FRAX and better inform clinicians who use FRAX. The Task Force met in November 2010 for 3 days to discuss these topics which form the focus of this review.

METHODS

This study reviews the resource documents and joint position statements of ISCD and IOF.

RESULTS

Details on the clinical risk factors currently used in FRAX are provided, and the reasons for the exclusion of others are provided. Recommendations are made for the development of surrogate models where country-specific FRAX models are not available.

CONCLUSIONS

The wish list of clinicians for the modulation of FRAX is large, but in many instances, these wishes cannot presently be fulfilled; however, an explanation and understanding of the reasons may be helpful in translating the information provided by FRAX into clinical practice.

Official Positions for FRAX® clinical regarding prior fractures from Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®

The 2010 Position Development Conference addressed four questions related to the impact of previous fractures on 10-year fracture risk as calculated by FRAX(®). To address these questions, PubMed was searched on the keywords "fracture, epidemiology, osteoporosis." Titles of retrieved articles were reviewed for an indication that risk for future fracture was discussed. Abstracts of these articles were reviewed for an indication that one or more of the questions listed above was discussed. For those that did, the articles were reviewed in greater detail to extract the findings and to find additional past work and citing works that also bore on the questions. The official positions and the supporting literature review are presented here. FRAX(®) underestimates fracture probability in persons with a history of multiple fractures (good, A, W). FRAX(®) may underestimate fracture probability in individuals with prevalent severe vertebral fractures (good, A, W). While there is evidence that hip, vertebral, and humeral fractures appear to confer greater risk of subsequent fracture than fractures at other sites, quantification of this incremental risk in FRAX(®) is not possible (fair, B, W). FRAX(®) may underestimate fracture probability in individuals with a parental history of non-hip fragility fracture (fair, B, W). Limitations of the methodology include performance by a single reviewer, preliminary review of the literature being confined to titles, and secondary review being limited to abstracts. Limitations of the evidence base include publication bias, overrepresentation of persons of European descent in the published studies, and technical differences in the methods used to identify prevalent and incident fractures. Emerging topics for future research include fracture epidemiology in non-European populations and men, the impact of fractures in family members other than parents, and the genetic contribution to fracture risk.

Vertebral fracture and cause-specific mortality: a prospective population study of 3,210 men and 3,730 women with 30 years of follow-up

INTRODUCTION

Vertebral fractures predict mortality, but little is known about their associations with the causes of death. We studied vertebral fractures for prediction of cause-specific mortality.

MATERIAL AND METHODS

A nationally representative sample of 3,210 men and 3,730 women participated Mini-Finland health survey in 1978-1980. Vertebral fractures at the Th1-Th12 levels were identified from chest radiographs at baseline. Cox's proportional hazard model was used to estimate the strength of association between vertebral fracture and mortality.

RESULTS

The relative risk (95% confidence interval) of death from natural causes was 1.49 (0.89-2.48) in men and 0.89 (0.60-1.31) in women with vertebral fractures (adjusted for age, body mass index, serum 25-hydroxyvitamin D, educational level, smoking, alcohol intake, physical activity and self-rated general health). Among women the adjusted relative risk of an injury death was 8.51 (3.48-20.77), whereas none of the men with vertebral fracture died due to an injury.

CONCLUSION

The patterns of mortality predicted by fracture in the thoracic spine differ between men and women.