Performance of the Osteoporosis Self-Assessment Tool in ruling out low bone mineral density in postmenopausal women: a systematic review

Development of a model for identification of individuals with high risk of osteoporosis

Many developing countries, including Vietnam, lack DXA resources for the diagnosis of osteoporosis, which poses difficulties in the treatment and prevention of osteoporosis at the individual level. We have developed and validated a prediction model for individualized assessment of osteoporosis based on age and body weight for men and women.

PURPOSE

To estimate the prevalence of osteoporosis and to develop and validate a prediction model for estimating the absolute risk of osteoporosis in the Vietnamese population.

METHODS

The study involved 1477 women and 669 men aged 50 years and older, who were recruited from the general population in Ho Chi Minh City (Vietnam). Bone mineral density (BMD) at the femoral neck, total hip, and lumbar spine was measured by DXA (Hologic Horizon). The diagnosis of osteoporosis was based on BMD T-score (T-score ≤ - 2.5) at the femoral neck or lumbar spine which was derived from a published reference range for the Vietnamese population. The logistic regression model was used to develop the prediction model for men and women separately. The bootstrap method was used to evaluate the model performance using 3 indices: the area under the receiver's operating characteristic curve (AUC), Brier score, and R-squared values.

RESULTS

The prevalence of osteoporosis at any site was 28.3% in women and 15.5% in men. The best predictors of osteoporosis risk were age and body weight. Using these indices, a cut-off of 0.195 for women yielded an AUC of 0.825, Brier score = 0.112, and it explained 33.8% of total variance in risk of osteoporosis between individuals. Similarly, in men, the internal validation with a cut-off of 0.09 yielded good accuracy, with AUC = 0.858, Brier score = 0.040, and R-squared = 30.3%.

CONCLUSION

We have developed and validated a prediction model for individualized assessment of osteoporosis. In settings without DXA, this model can serve as a useful screening tool to identify high-risk individuals for DXA scan.

Comparison of three tools for predicting primary osteoporosis in an elderly male population in Beijing: a cross-sectional study

Purpose

In this cross-sectional study, three clinical tools, the Osteoporosis Self-Assessment Tool for Asians (OSTA), Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD), and body mass index (BMI), for predicting primary osteoporosis (OP) were compared and ideal thresholds for omission of screening BMD were proposed in a community-dwelling elderly Han Beijing male population.

Patients and methods

A total of 1,349 community-dwelling elderly Han Beijing males aged ≥50 years were enrolled in this study. All subjects completed a questionnaire and measured BMD by dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of -2.5 SD or lower than that of the average young adult in different diagnostic criteria (lumbar spine [L1-L4], femoral neck, total hip, worst hip, and World Health Organization [WHO]). FRAX without BMD, OSTA, and BMI were assessed for predicting OP by receiver operating characteristic (ROC) curves. Sensitivity, specificity, and areas under the ROC curves (AUCs) were determined. Ideal thresholds for omission of screening BMD were proposed.

Results

The prevalence of OP ranged from 1.8% to 12.8% according to different diagnostic criteria. This study showed that the BMI has highest discriminating ability. The AUC of FRAX without BMD ranged from 0.536 to 0.630, which suggested limiting predictive value for identifying OP in elderly Beijing male. The AUCs of BMI (0.801-0.880) were slightly better than OSTA (0.722-0.874) in predicting OP at all sites. The AUC of BMI to identify OP in worst hip was 0.824, yielding a sensitivity of 84.8% and a specificity of 64.4%. 40% of participants on BMD measurements saved only 0.1%-2.7% missed OP. Compared to OSTA and FRAX without BMD, the BMI got the best predictive value for OP.

Conclusion

BMI may be a simple and effective tool for identifying OP in the elderly male population in Beijing to omit BMD screening reasonably.

Chronic joint pain and handgrip strength correlates with osteoporosis in mid-life women: a Singaporean cohort

This study aimed to identify novel correlates which may relate to low bone mass at lumbar spine in mid-life Asian women. The possibility of developing a prediction model for osteoporosis (OP) was explored which resulted in a risk assessment tool that performed better than currently available tools.

INTRODUCTION

In order to identify novel correlates associated with low spinal bone mineral density (BMD) in mid-life women, we examined a large number of lifestyle and medical and performance measurements and developed a prediction model for triage to BMD scanning.

METHODS

Women (n = 512) aged 45-69 years (mean 57.0 ± 6.3) attending gynecology clinics for "well woman" visits were recruited for this cross-sectional study from 2014 to 2015. We assessed symptoms, medical history, anthropometry, and physical performance. Stepwise multinomial logistic regressions were performed to examine significant associated covariates for pre-specified outcomes (normal [T-score ≥ -1.0], low bone mass [T-score between -1 and -2.5], and OP [T-score ≤ -2.5] at the lumbar spine). A new screening model was developed, and its performance was compared with the OP Screening Tool for Asians (OSTA) and Fracture Risk Assessment Tool (FRAX®).

RESULTS

Spinal OP was found in 6.8%. Multivariate analysis indicated that chronic joint pain, the most common symptom reported by 37.5% of the women, was significantly associated with OP. Only age (Relative Risk Ratio [RRR] 1.63; 95%CI, 1.03-2.60), weight (RRR 0.14; 95% CI, 0.07-0.27), postmenopausal status (RRR 11.59, 95%CI, 1.15-116.73), chronic joint pain (RRR, 4.12; 95% CI, 1.53-11.07), and right handgrip strength (RRR 0.50; 95% CI, 0.31-0.80) were independently associated with spinal OP. Combining these five variables, our final model's area under curve (AUC) was significantly higher at 84% than both the OSTA [AUC; 79% (p value < 0.0231 'c' statistics)] and FRAX® [AUC 58% (p value < 0.0001 'c' statistic)].

CONCLUSION

A novel screening tool that combines age, weight, and menopausal status with chronic joint pain and right handgrip strength more reliably predicts spinal OP in mid-life Singaporean women.

BFH-OSTM, a new predictive screening tool for identifying osteoporosis in elderly Han Chinese males

Purpose

To develop and validate a new clinical screening tool to identify primary osteoporosis by dual-energy X-ray absorptiometry (DXA) in two elderly Han Chinese male populations.

Methods

A cross-sectional study was conducted, enrolling 1,870 community-dwelling and 574 hospital-checkup elderly Han Chinese males aged ≥50 years. All subjects completed a structured questionnaire and had their bone mineral density (BMD) measured using DXA. Using logistic regression analysis in the 1,870 community-dwelling males, we assessed the ability of numerous potential clinical risk factors to identify male with osteoporosis. Multiple variable regression analysis and item reduction yielded a final tool named the Beijing Friendship Hospital Osteoporosis Self-assessment Tool for Elderly Male (BFH-OSTM). Receiver operating characteristic (ROC) curve was generated to compare the validation of the BFH-OSTM and Osteoporosis Self-assessment Tool for Asians (OSTA) for identifying elderly male at increased the risk of primary osteoporosis in the 574 hospital-checkup males.

Results

In screening the 1,870 community-dwelling subjects with DXA, 14.2% (266/1,870) had osteoporosis, and a further 51.8% (969/1,870) had osteopenia. Of the items screened in the questionnaire, weight, height and previous history of fragility fracture were predictive of osteoporosis. A final tool (BFH-OSTM) was based on body weight and fragility fracture history only. The BFH-OSTM index (cutoff =70) had a sensitivity of 85% and specificity of 53% for identifying osteoporosis according to the WHO criteria, with an area under the ROC curve of 0.763. The predictive value of BFH-OSTM was validated in the 574 hospital-checkup population, which performed better than OSTA.

Conclusion

The BFH-OSTM may perform well for identifying elderly male at increased risk for osteoporosis and applying it would result in more prudent use of BMD measurement by DXA, especially for Han Chinese male.

Risk assessment instruments for screening bone mineral density in a Mediterranean population

AIM

To evaluate the power of six osteoporosis-screening instruments in women in a Mediterranean country.

METHODS

Data concerning several osteoporosis risk factors were prospectively collected from 1000 postmenopausal women aged 42-87 years who underwent dual-energy X-ray absorptiometry (DEXA) screening. Six osteoporosis risk factor screening tools were applied to this sample to evaluate their performance and choose the most appropriate tool for the study population.

RESULTS

The most important screening tool for osteoporosis status was the Simple Calculated Osteoporosis Risk Estimation, which had an area under the curve (AUC) of 0.678, a sensitivity of 72%, and a specificity of 72%, with a cut-off point of 20.75. The most important screening tool for osteoporosis risk was the Osteoporosis Self-assessment Tool, which had an AUC of 0.643, a sensitivity of 77%, and a specificity of 46%, with a cut-off point of -2.9.

CONCLUSION

Some commonly used clinical risk instruments demonstrate high sensitivity for distinguishing individuals with DEXA-ascertained osteoporosis or reduced bone mineral density.

BFH-OST, a new predictive screening tool for identifying osteoporosis in postmenopausal Han Chinese women

Purpose

To develop a simple new clinical screening tool to identify primary osteoporosis by dual-energy X-ray absorptiometry (DXA) in postmenopausal women and to compare its validity with the Osteoporosis Self-Assessment Tool for Asians (OSTA) in a Han Chinese population.

Methods

A cross-sectional study was conducted, enrolling 1,721 community-dwelling postmenopausal Han Chinese women. All the subjects completed a structured questionnaire and had their bone mineral density measured using DXA. Using logistic regression analysis, we assessed the ability of numerous potential risk factors examined in the questionnaire to identify women with osteoporosis. Based on this analysis, we build a new predictive model, the Beijing Friendship Hospital Osteoporosis Self-Assessment Tool (BFH-OST). Receiver operating characteristic curves were generated to compare the validity of the new model and OSTA in identifying postmenopausal women at increased risk of primary osteoporosis as defined according to the World Health Organization criteria.

Results

At screening, it was found that of the 1,721 subjects with DXA, 22.66% had osteoporosis and a further 47.36% had osteopenia. Of the items screened in the questionnaire, it was found that age, weight, height, body mass index, personal history of fracture after the age of 45 years, history of fragility fracture in either parent, current smoking, and consumption of three of more alcoholic drinks per day were all predictive of osteoporosis. However, age at menarche and menopause, years since menopause, and number of pregnancies and live births were irrelevant in this study. The logistic regression analysis and item reduction yielded a final tool (BFH-OST) based on age, body weight, height, and history of fracture after the age of 45 years. The BFH-OST index (cutoff =9.1), which performed better than OSTA, had a sensitivity of 73.6% and a specificity of 72.7% for identifying osteoporosis, with an area under the receiver operating characteristic curve of 0.797.

Conclusion

BFH-OST may be a powerful and cost-effective new clinical risk assessment tool for prescreening postmenopausal women at increased risk for osteoporosis by DXA, especially for Han Chinese women.

Performance of the Osteoporosis Self-Assessment Tool for Asians (OSTA) in Screening Osteoporosis Among Middle-Aged and Old Women in the Chengdu Region of China

The purpose of this study was to assess the performance of an osteoporosis self-assessment tool for Asians (OSTA) for screening middle-aged and old healthy women in the Chengdu region of China. OSTA scores were used to evaluate the effect of age on the development of osteoporosis. A total of 15,752 healthy women older than 40 yr, who reside in the Chengdu region, were assigned to 9 age groups divided by 5-yr intervals. Bone mineral density of the lumbar vertebrae, L1-L4, and the left hip was measured with a GE Lunar Prodigy advance dual-energy X-ray absorptiometry system (GE Healthcare, Cincinnati, OH). All subjects were classified into 3 categories according to OSTA cutoff values. The OSTA values used to define the categories were ≥-1, >-4 and <-1, and ≤-4. The accuracy of the OSTA index was compared with T-scores measured by dual-energy X-ray absorptiometry at various skeletal sites. All statistical analyses were performed using SPSS, version 17.0 (SPSS, Inc., Chicago, IL). The detection rate of osteoporosis and osteopenia at the lumbar vertebrae and the femur was found to increase with age. Furthermore, the sensitivity of OSTA value for detection of osteoporosis also gradually enhanced with subject age. In contrast, the specificity gradually decreased with age. The sensitivity and negative predictive value of the OSTA index for detecting osteoporosis gradually increased with higher OSTA cutoff values, and the specificity and positive predictive value appeared to gradually decline. It was concluded that the OSTA is a useful screening tool to detect osteoporosis in middle-aged and old women in the Chengdu region of China. Furthermore, specific OSTA cutoff values should be selected for screening individuals who belong to different age groups.

Risk Assessment Tools for Osteoporosis Screening in Postmenopausal Women: A Systematic Review

Osteoporotic fractures are common in postmenopausal women. Tools are available to estimate the risk of low bone mineral density (BMD) or fracture. This systematic review retrieved articles that evaluated osteoporosis risk assessment tools among postmenopausal women in North America. For identifying BMD T-score ≤-2.5, most studies of the Simple Calculated Osteoporosis Risk Estimation tool (SCORE) and Osteoporosis Risk Assessment Instrument (ORAI) reported sensitivity ≥90 %. Area under the receiver operating characteristic curve (AUC) was usually <0.75 for SCORE and ≥0.75 for ORAI. Among women 50-64 years old, a Fracture Risk Assessment Tool (FRAX) threshold ≥9.3 % had a sensitivity of 33 % for identifying BMD T-score ≤-2.5 and 26 % for predicting major osteoporotic fracture (MOF). For predicting MOF, sensitivity was higher for SCORE and Osteoporosis Self-assessment Tool equation (OST), and higher in women ≥65 years old. For predicting BMD T-score ≤-2.5 in women ≥65 years old, the sensitivities of SCORE; ORAI; and Age, Body Size, No Estrogen (ABONE) were very high. No optimal osteoporosis risk assessment tool is available for identifying low BMD and MOF risk.

Osteoporosis Self-Assessment Tool for Asians Can Predict Neurologic Prognosis in Patients with Isolated Moderate Traumatic Brain Injury

Objectives

Osteoporosis Self-Assessment Tool for Asians (OSTA) has been proved to be a simple and effective tool for recognizing osteoporosis risk. Our previous study has demonstrated that the preoperative OSTA index was a good prognostic predictor for stage II and III colon cancer patients after surgery. We aim to evaluate the value of OSTA index in prognostication of isolated traumatic brain injury with moderate severity (GCS 9-13).

Methods

We retrospectively reviewed all patients visiting Kaohsiung Medical University Hospital emergency department due to isolated moderate traumatic brain injury from Jan. 2010 to Dec. 2012. Background data (including the OSTA index), clinical presentations, management and outcomes (ICU admission days, total admission days, complications, Glasgow outcome score (GOS) at discharge, mortality) of the patients were recorded for further analysis. Our major outcome was good neurologic recovery defined as GOS of 5. Pearson chi-square test and the Mann-Whitney U test were used to compare demographic features. Multiple logistic regression was used to identify independent risk factors.

Results

107 isolated moderate TBI patients were studied. 40 patients (37.4%) showed good recovery and 10 (9.3%) died at discharge. The univariate analysis revealed that younger age, higher OSTA index, lower ISS, lower AIS-H, and avoidance to neurosurgery were associated with better neurologic outcome for all moderate TBI patients. Multivariate analysis revealed that lower ISS, higher OSTA, and the avoidance of neurosurgery were independent risk factors predicting good neurologic recovery.

Conclusion

Higher ISS, lower OSTA index and exposure to neurosurgery were the independent risk factors for poorer recovery from isolated moderate TBI. In addition to labeling the cohort harboring osteoporotic risk, OSTA index could predict neurologic prognosis in patients with isolated moderate traumatic brain injury.

Clinical performance of seven prescreening tools for osteoporosis in Iranian postmenopausal women

This study was designed to evaluate seven prescreening osteoporosis models in postmenopausal Iranian women. This study was performed on 8644 postmenopausal women who have been referred for bone mineral densitometry (BMD) in BMD center of Shariati hospital in Tehran between 2001 and 2011. Diagnostic properties of seven prescreening instruments were evaluated. With regard to area under curve (AUC), these models have low accuracy (AUC ≤ 0.65). Considering only femoral neck or total femur area, these models had low accuracy but were more sensitive. Except for three models with sensitivities of ≤65 % in both osteoporosis and fracture threshold, other models were around 70 % sensitive. However, these models were not considered clinically useful regarding their positive predictive values (PPV) especially in BMDs ≤02.5. With regard to different measures of diagnostic property, none of these models were good screening tools for osteoporosis or fracture threshold. Although some of them are sensitive, considering other measures such as PPV indicates that they are not completely useful for clinical use. Attempts should be made for developing newer prescreening methods and calibration of the existing models with regard to the studied population.

Discriminatory Performance of the Calcaneal Quantitative Ultrasound and Osteoporosis Self-Assessment Tool to Select Older Women for Dual-Energy X-ray Absorptiometry

The objective of this cross-sectional study was to evaluate the accuracy of the calcaneal quantitative ultrasound (QUS) and the Osteoporosis Self-Assessment Tool (OST) in identifying older women with osteoporosis as defined by dual-energy X-ray absorptiometry (DXA), and to establish optimal cutoffs to determine risk. We assessed bone mineral density of the femoral neck and lumbar spine using DXA and subsequent calcaneal QUS and OST measurements in 174 women aged 50-80 years. Pearson product correlation coefficients between QUS, OST, and DXA parameters were calculated. Receiver operating characteristic curves were constructed and areas under the curves (AUCs) and optimal thresholds for QUS and OST were defined based on sensitivity, specificity, and likelihood ratio analysis. The ability of calcaneal QUS to identify women with a T-score ≤-2.5 at the femoral neck (AUC = 0.892) consistently outperformed a T-score ≤-2.5 at the lumbar spine (AUC = 0.696) and OST at both the femoral neck and lumbar spine (AUC = 0.706-0.807). Stiffness index cutoff values that fall between 65 and 78 were found to warrant DXA screening, with a cutoff <65 indicating high likelihood of osteoporosis. Further prospective research is needed to examine the gender-related differences of QUS and OST diagnostic performance and their usefulness in clinical practice.

Development and validation of osteoporosis prescreening model for Iranian postmenopausal women

Background

Studies have indicated that the commonly used osteoporosis prescreening tools are not appropriate for use in every nation. This study was designed to develop and validate a prescreening model for bone mineral densitometry among Iranian postmenopausal women.

Methods

From 13613 individuals who were referred for bone mineral densitometry in Shariati hospital in Tehran, 8644 postmenopausal women were considered for the study after excluding men and premenopausal women. Questionnaires regarding the risk factors for osteoporosis were filled for each individual. Bone mineral density at the lumbar vertebrae (L2-L4), femoral neck and total femur was measured by dual X-ray absorptiometry. Using holdout validation, the study sample was divided into two parts; training set (5705) and test set (2939). Logistic regression analysis was performed on the training set. A scoring model was developed and tested in the test set.

Results

Based on the training set, a seven-variable model named OPMIP (Osteoporosis Prescreening Model for Iranian Postmenopausal women) was developed with C statistics (area under curve) of 0.72. Using a cut-off of -2.5 for the model, the sensitivity, specificity, positive predictive value and negative predictive value were 72%, 59.5%, 64% and 69% respectively. The model performance was tested in the test set. OPMIP correctly classified 67.10% of cases with a sensitivity and specificity of 73.2% and 61%.

Conclusions

In order to appropriately refer patients for a bone mineral densitometry, OPMIP can be used as a prescreening tool in Iranian Postmenopausal women.

Determining the cut-off point of osteoporosis based on the osteoporosis self-assessment tool, body mass index and weight in Taiwanese young adult women

AIMS AND OBJECTIVES

To examine the cut-off point of the osteoporosis self-assessment tool, age, weight and body mass index for osteoporosis among young adult Taiwanese women, using a large-scale health examination database containing bone mineral density tests.

BACKGROUND

The cut-off points of osteoporosis risk factors identified earlier focus on menopausal or senior Caucasian and Asian women. However, young adult Asian women have seldom been identified.

DESIGN

A retrospective historical cohort study.

METHODS

Using the 2009-2011 health examination database of a large-scale medical centre in northern Taiwan, this study investigated young adult Asian women (i.e. range in age from 30-49 years) in Taiwan who had received dual-energy X-ray absorptiometry test. This study also explored the cut-off point, sensitivity, specificity and diagnostic accuracy of receiver operating characteristics of osteoporosis among young adult females in Taiwan.

RESULTS

This study collected 2454 young adult Asian women in Taiwan. Cochran-Armitage analysis results indicated that the prevalence of osteoporosis increased with decreasing weight, body mass index and osteoporosis self-assessment method quartiles. According to the results of receiver operating characteristics, weight, body mass index and osteoporosis self-assessment tool approaches can generally be used as indicators to predict osteoporosis among young adult Asian women.

CONCLUSIONS

Results of this study demonstrate that Taiwanese women contracting osteoporosis tend to be young and underweight, as well as having a low body mass index and osteoporosis self-assessment scores. Those results further suggest that the assessment indicators for cut-off points are appropriately suitable for young adult women in Taiwan.

RELEVANCE TO CLINICAL PRACTICE

Early detection is the only available means of preventing osteoporosis. Professional nurses should apply convenient and accurate assessment procedures to help young adult women to adopt preventive strategies against osteoporosis early, thus eliminating the probability of osteoporotic fracture.

Use of the FRAX screening tool to assess fracture risk in a long-term care facility

OBJECTIVE

The primary objective of this study was to determine the percentage of nursing residents at high risk of fracture as determined by FRAX score, calculated without bone mineral density (BMD) data. The secondary objective was to quantify FRAX components able to be ascertained through pharmacist chart review.

DESIGN

Retrospective chart review.

SETTING

130-bed long-term care facility in Arizona.

PARTICIPANTS

Inclusion criteria comprised designation as a skilled nursing facility, residents older than 50 years of age, and postmenopausal, if female. Exclusion criteria comprised current osteoporosis diagnosis/treatment, and hospice. Eighty-eight residents were screened, and 52 completed the study.

INTERVENTIONS

The FRAX clinical risk assessment tool was used without incorporation of BMD data to determine 10-year risk of major osteoporotic and hip fracture. FRAX components unable to be determined by chart review were recorded.

MAIN OUTCOME MEASURE(S)

The primary outcome measure was calculated FRAX score for each participant. The secondary outcome measure was component(s) of FRAX unable to be ascertained via chart review.

RESULTS

90.3% of participants had high (≥ 3%) 10-year risk of hip fracture and 55.8% had high (≥ 20%) 10-year risk of major osteoporotic fracture. FRAX components unable to be ascertained through chart review included family history of hip fracture (absent from 51.9% of charts) and/or ethanol use (absent from 3.8% of charts).

CONCLUSION

Nursing facility residents are at high risk for fracture as determined by FRAX, without BMD data. The ability to determine FRAX scores via pharmacist chart review demonstrates an opportunity for pharmacist involvement in long-term care fracture risk screening.

Risk assessment tools to identify women with increased risk of osteoporotic fracture: complexity or simplicity? A systematic review

A huge number of risk assessment tools have been developed. Far from all have been validated in external studies, more of them have absence of methodological and transparent evidence, and few are integrated in national guidelines. Therefore, we performed a systematic review to provide an overview of existing valid and reliable risk assessment tools for prediction of osteoporotic fractures. Additionally, we aimed to determine if the performance of each tool was sufficient for practical use, and last, to examine whether the complexity of the tools influenced their discriminative power. We searched PubMed, Embase, and Cochrane databases for papers and evaluated these with respect to methodological quality using the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS) checklist. A total of 48 tools were identified; 20 had been externally validated, however, only six tools had been tested more than once in a population-based setting with acceptable methodological quality. None of the tools performed consistently better than the others and simple tools (i.e., the Osteoporosis Self-assessment Tool [OST], Osteoporosis Risk Assessment Instrument [ORAI], and Garvan Fracture Risk Calculator [Garvan]) often did as well or better than more complex tools (i.e., Simple Calculated Risk Estimation Score [SCORE], WHO Fracture Risk Assessment Tool [FRAX], and Qfracture). No studies determined the effectiveness of tools in selecting patients for therapy and thus improving fracture outcomes. High-quality studies in randomized design with population-based cohorts with different case mixes are needed.

Osteoporosis self-assessment tool performance in a large sample of postmenopausal women of mendoza, Argentina

The Osteoporosis Self-assessment Tool (OST) is a clinical instrument designed to select patients at risk of osteoporosis, who would benefit from a bone mineral density measurement. The OST only takes into account the age and weight of the subject. It was developed for Asian women and later validated for European and North American white women. The performance of the OST in a sample of 4343 women from Greater Mendoza, a large metropolitan area of Argentina, was assessed. Dual X-ray absorptiometry (DXA) scans of lumbar spine and hip were obtained. Patients were classified as either osteoporotic (N = 1830) or nonosteoporotic (n = 2513) according to their lowest T-score at any site. Osteoporotic patients had lower OST scores (P < 0.0001). A receiver operating characteristic (ROC) curve showed an area under the curve of 71% (P < 0.0001), with a sensitivity of 83.7% and a specificity of 44% for a cut-off value of 2. Positive predictive value was 52% and negative predictive value was 79%. The odds ratio for the diagnosis of osteoporosis was 4.06 (CI95 3.51 to 4.71; P < 0.0001). It is concluded that the OST is useful for selecting postmenopausal women for DXA testing in the studied population.

Cost-effectiveness of bone densitometry among Caucasian women and men without a prior fracture according to age and body weight

We used a microsimulation model to estimate the threshold body weights at which screening bone densitometry is cost-effective. Among women aged 55-65 years and men aged 55-75 years without a prior fracture, body weight can be used to identify those for whom bone densitometry is cost-effective.

INTRODUCTION

Bone densitometry may be more cost-effective for those with lower body weight since the prevalence of osteoporosis is higher for those with low body weight. Our purpose was to estimate weight thresholds below which bone densitometry is cost-effective for women and men without a prior clinical fracture at ages 55, 60, 65, 75, and 80 years.

METHODS

We used a microsimulation model to estimate the costs and health benefits of bone densitometry and 5 years of fracture prevention therapy for those without prior fracture but with femoral neck osteoporosis (T-score ≤ -2.5) and a 10-year hip fracture risk of ≥3%. Threshold pre-test probabilities of low BMD warranting drug therapy at which bone densitometry is cost-effective were calculated. Corresponding body weight thresholds were estimated using data from the Study of Osteoporotic Fractures (SOF), the Osteoporotic Fractures in Men (MrOS) study, and the National Health and Nutrition Examination Survey (NHANES) for 2005-2006.

RESULTS

Assuming a willingness to pay of $75,000 per quality adjusted life year (QALY) and drug cost of $500/year, body weight thresholds below which bone densitometry is cost-effective for those without a prior fracture were 74, 90, and 100 kg, respectively, for women aged 55, 65, and 80 years; and were 67, 101, and 108 kg, respectively, for men aged 55, 75, and 80 years.

CONCLUSIONS

For women aged 55-65 years and men aged 55-75 years without a prior fracture, body weight can be used to select those for whom bone densitometry is cost-effective.

Evidence to inform decision makers in Thailand: a cost-effectiveness analysis of screening and treatment strategies for postmenopausal osteoporosis

OBJECTIVES

To assess value for money of providing systematic screening for osteoporosis among postmenopausal women and medical treatments for those diagnosed with osteoporosis as evidence-based decision making for the revision of the National List of Essential Medicines.

METHODS

Decision analytic models were constructed, using a societal perspective, to assess the cost per quality-adjusted life-years (QALYs) gained from systematic screening using the Osteoporosis Self-Assessment Tool and dual-energy X-ray absorptiometry or dual-energy X-ray absorptiometry alone compared with no screening. Alendronate, risedronate, raloxifene, and nasal calcitonin were economically evaluated to determine a treatment of choice for the prevention of osteoporosis-related fractures. Most input parameters were obtained from literature reviews, and systematic reviews and meta-analyses, if available. The service costs and related household expenses were based on the Thai setting. Probabilistic and one-way sensitivity analyses were used to incorporate the impact of parameter uncertainty.

RESULTS

The Osteoporosis Self-Assessment Tool and sequential dual-energy X-ray absorptiometry provided better value for money for osteoporosis screening among young age groups (<60 years old). Although there was no significant difference in cost per QALY for older age groups, alendronate provided the lowest incremental cost-effectiveness ratio while nasal calcitonin presented the highest incremental cost-effectiveness ratio. It was shown that providing medication for a secondary prevention yielded a much higher cost per QALY gained compared with providing medication for a primary prevention.

CONCLUSIONS

Given the benchmark set at 100,000 Thai baht per QALY gained, providing systematic screening and treatment for osteoporosis was cost-ineffective in the Thai setting.

[Sensitivity, specificity, positive and negative predictive values of the criteria for indicating a bone densitometry in the evaluation of medical techniques and research in Cataluña]

The Catalan Agency for Health Technology Assessment and Research (AETIM) proposed, in 2001, criteria for performing a bone densitometry (BD) for use in the consultations of the public health system.

OBJECTIVE

To determine the sensitivity, specificity, positive predictive value and negative predictive value of the criteria to indicate BD.

MATERIAL AND METHODS

Five groups of volunteers (premenopausal women aged 46 to 65 years, postmenopausal women aged 46 to 65 years, postmenopausal women aged> 65 years and men 46 to 65 years and> 65 years) underwent BD and a questionnaire on risk factors. The results obtained with the AETIM criteria are related to criteria for indication of BD proposed by the World Health Organization (1999 and 2003 criteria), the National Osteoporosis Foundation (1998 amd 2010 criteria) and the International Committee of Clinical Guidelines on Osteoporosis.

RESULTS

Criteria from the Catalan Agency have low sensitivity to detect both low bone mass (T index<-1) and osteoporosis (T index<-2.5), specificity varied according to the group. The positive predictive value is low, but the negative predictive value for osteoporosis is high in all groups (except for postmenopausal women aged> 65 years). The remaining criteria have a high negative predictive value and, in women, good sensitivity and low specificity, especially for identifying patients with osteoporosis.

CONCLUSION

Catalan Agency criteria are useful for selecting patients who would not need BD, but lack sufficient sensitivity to identify individuals with low bone mass. The other criteria also have a high negative predictive value for osteoporosis, and a better sensitivity.

Osteoporosis among Fallers without Concomitant Fracture Identified in an Emergency Department: Frequencies and Risk Factors

We aimed to determine whether the Emergency Department (ED) is a suitable entrance point for osteoporosis screening among fallers without concomitant fracture compared to referral from general practice. Furthermore, to identify factors associated with osteoporosis among fallers. Methods. Patients aged 50-80 years sustaining a low-energy fall without fracture were identified from an ED (n = 199). Patients answered a questionnaire on risk factors and underwent osteodensitometry. Data was compared to a group of patients routinely referred to osteodensitometry from general practice (n = 201). Results. Among the 199 included fallers, 41 (21%) had osteoporosis. Among these, 35 (85%) reported either previous fracture or reduced body height (>3 cm). These two risk factors were more frequent among fallers with osteoporosis compared to fallers with normal bone mineral density or osteopenia (previous fracture P = .044, height reduction P = .0016). The osteoporosis frequency among fallers from ED did not differ from a similarly aged patient-group referred from general practice (P = .34). Conclusion. Osteodensitometry should be considered among fallers without fracture presenting in the ED, especially if the patient has a prior fracture or declined body height. Since fallers generally have higher fracture risk, the ED might serve as an additional entrance to osteodensitometry compared to referral from primary care.

Application of Osteorisk to postmenopausal patients with osteoporosis

CONTEXT AND OBJECTIVE

Identification of women at risk of bone fracture is becoming less dependent on evaluating bone mineral density through placing greater value on clinical risk factors. The aim of this study was to evaluate the sensitivity of the Osteorisk clinical tool for identifying Brazilian postmenopausal women with osteoporosis, compared with bone densitometry.

DESIGN AND SETTING

Cross-sectional observational study at Faculdade de Medicina do ABC.

METHOD

Information on 812 postmenopausal osteoporotic women was retrospectively evaluated from medical records. The women were divided into the age groups 50-59, 60-69, 70-79 and over 80 years. The results from the Osteorisk clinical tool, which uses only age and weight, were compared with bone densitometry T-scores.

RESULTS

There were significant correlations between the results from the Osteorisk clinical tool and from bone densitometry, in relation to the lumbar spine (P = 0.027) and hip (P < 0.001), thus showing a non-arbitrary relationship. The overall sensitivity of Osteorisk for identifying women with "high risk of osteoporosis" was 86.5%, and it was higher for hip osteoporosis alone (97.2%) than for lumbar spine osteoporosis (85.8%). The sensitivity was better among older women.

CONCLUSION

Osteorisk seems to present good sensitivity for identifying postmenopausal women at risk of osteoporosis. It should be used when bone densitometry is not easily available or as a means of selecting individuals for referral for bone densitometry.

The Osteoporosis Self-Assessment Tool versus alternative tests for selecting postmenopausal women for bone mineral density assessment: a comparative systematic review of accuracy

SUMMARY

We performed a systematic review of studies comparing the Osteoporosis Self-Assessment Tool (OST) and other tests used to select women for bone mineral density (BMD) assessment. In comparative meta-analyses, we found that the accuracy of OST was similar to other tests that are based on information from the medical history. By contrast, assessment by quantitative ultrasonography at the heel was more accurate than OST in discriminating between women with high and low BMD. The methodological quality of the included studies was generally low.

INTRODUCTION

Numerous tests are suggested for triaging postmenopausal women for bone mineral density (BMD) assessment by dual-energy X-ray absorptiometry. Previous studies suggest that OST, based on age and weight only, may be as accurate as more complex triage tests. We systematically compare the accuracy of OST and alternative triage tests in postmenopausal women.

METHODS

We searched PubMed, Embase, Web of Science, citation lists, and conference proceedings. Our main measure of accuracy was the diagnostic odds ratio (DOR). We compared summary estimates of DOR (sDOR) for OST and alternative tests in pairwise meta-analyses by using the Moses-Littenberg approach.

RESULTS

Summary estimates of DOR for OST and the clinical decision rules Simple Calculated Osteoporosis Risk Estimation (SCORE) and Osteoporosis Risk Assessment Instrument (ORAI) did not differ significantly in white women (relative sDOR: 0.57-1.17, all p >or= 0.11). By contrast, sDOR was higher for Stiffness Index assessed by calcaneal quantitative ultrasonography than for OST (relative sDOR: 1.9, p = 0.005). Studies were few in Asian and black women. Methodological quality, assessed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) checklist, was generally low.

CONCLUSIONS

In white women, the accuracy of OST and alternative clinical decision rules was similar, whereas Stiffness Index was more accurate than OST. Low study quality renders transferability to clinical settings uncertain.

Weight and body mass index predict bone mineral density and fractures in women aged 40 to 59 years

Weight and body mass index are associated with low bone mineral density and fractures in older women. This retrospective cohort study confirms a similar relationship in women aged 40 to 59 years.

INTRODUCTION

Risk factors for the prediction of osteoporosis and fractures have been less thoroughly studied in younger women. We evaluated the associations between weight, body mass index (BMI), the Osteoporosis Self-Assessment Tool (OST), bone mineral density (BMD) and fracture risk in women aged 40 to 59 years.

METHODS

Using administrative health management databases, we conducted a retrospective cohort study in 8,254 women aged 40-59 years who had baseline BMD testing. Linear regression and Cox proportional multivariate models were created to examine the associations with weight, BMI, OST, BMD, and subsequent fractures throughout a 3.3-year follow-up.

RESULTS

Body weight, BMI, and OST had a similar overall performance in their ability to classify women with femoral neck T-score < or = -2.5. Throughout 27,256 person years of observation, 225 women experienced one or more fractures. After adjustment for age, prevalent fractures, and use of corticosteroids, each standard deviation decrease in weight was associated with a 19% increase in the risk of incident fracture (95% CI: 1.01-1.35). Femoral neck BMD and the presence of prevalent fractures were also associated with the risk of incident fractures.

CONCLUSIONS

Low weight and BMI predict osteoporosis and are associated with increased fracture risk in younger women. The negative impact of low body weight on bone health should be more widely recognized.

Clinical performance of osteoporosis risk assessment tools in women aged 67 years and older

Clinical performance of osteoporosis risk assessment tools was studied in women aged 67 years and older. Weight was as accurate as two of the tools to detect low bone density. Discriminatory ability was slightly better for the OST risk tool, which is based only on age and weight.

INTRODUCTION

Screening performance of osteoporosis risk assessment tools has not been tested in a large, population-based US cohort.

METHODS

We conducted a diagnostic accuracy analysis of the Osteoporosis Self-assessment Tool (OST), Osteoporosis Risk Assessment Instrument (ORAI), Simple Calculated Osteoporosis Risk Estimation (SCORE), and individual risk factors (age, weight or prior fracture) to identify low central (hip and lumbar spine) bone mineral density (BMD) in 7779 US women aged 67 years and older participating in the Study of Osteoporotic Fractures.

RESULTS

The OST had the greatest area under the receiver operating characteristic curve (AUC 0.76, 95% CI 0.74, 0.77). Weight had an AUC of 0.73 (95% CI 0.72, 0.75), which was >or=AUC values for the ORAI, SCORE, age or prior fracture. Using cut points from the development papers, the risk tools had sensitivities >or=85% and specificities

CONCLUSIONS

Weight identified low central BMD as accurately as the ORAI and SCORE. The risk tools would be unlikely to show an advantage over simple weight cut points in an osteoporosis screening protocol for elderly women.

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Key Words

• bone density
• female
• mass screening
• osteoporosis
• postmenopause
• risk assessment

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MESH Headings

• Age Factors
• Aged
• Aged, 80 and over
• Algorithms
• Body Weight
• Bone Density
• Decision Support Techniques
• Epidemiologic Methods
• Estrogen Replacement Therapy
• Female
• Fractures, Bone/etiology
• Fractures, Bone/physiopathology
• Humans
• Osteoporosis, Postmenopausal/complications
• Osteoporosis, Postmenopausal/diagnosis
• Osteoporosis, Postmenopausal/physiopathology

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Grants

• R01 AR035583 NIAMS NIH HHS
• AR35582 NIAMS NIH HHS
• R01 AR035584 NIAMS NIH HHS
• AG05394 NIA NIH HHS
• R01 AG027576 NIA NIH HHS
• 2 R01 AG027574-22A1 NIA NIH HHS
• R01 AG005407 NIA NIH HHS
• K23 RR024685-01A1 NCRR NIH HHS
• K23 RR024685 NCRR NIH HHS
• R01 AR035582 NIAMS NIH HHS
• AR35584 NIAMS NIH HHS
• R01 AG027574 NIA NIH HHS
• 2 R01 AG005394-22A1 NIA NIH HHS
• AG05407 NIA NIH HHS
• R01 AG027576-22 NIA NIH HHS
• AR35583 NIAMS NIH HHS
• K23RR024685 NCRR NIH HHS
• R01 AG005394 NIA NIH HHS

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Affiliation(s)

M L Gourlay Department of Family Medicine, University of North Carolina, Chapel Hill, NC 27599-7595, USA.
J M Powers
L-Y Lui
K E Ensrud

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An evaluation of osteoporosis screening tools for the osteoporotic fractures in men (MrOS) study

No large-scale evaluations of osteoporosis screening tools have been done in men. OST and MOST were examined among 4658 US Caucasian and 1914 Hong Kong Chinese men. Both tools have high negative predictive values, accurately screening out men with low risk, and saving a third of DXA tests.

INTRODUCTION

Prior investigations have studied the performance of osteoporosis screening tools in women, but no large-scale evaluations have been done in men.

METHODS

This study examines the performance of the Osteoporosis Self-assessment Tool (OST), the Male Osteoporosis Screening Tool (MOST), quantitative ultrasound index (QUI), and body weight as screening tools. Osteoporosis was defined by a dual-energy X-ray absorptiometry (DXA) measured bone mineral density (BMD) T-score < or =-2.5. Four thousand six hundred and fifty-eight US Caucasian and 1914 Hong Kong Chinese men, aged > or =65 years and community-dwelling, were included in the analysis. Receiver operating characteristic (ROC) analysis was used to compare the area under the ROC curve (AUC) between different screening tools.

RESULTS

MOST had a significantly larger AUC (> or =0.8) than OST, QUI, and body weight in detecting osteoporosis. Using the second tertile as cutoff, OST and MOST yielded sensitivities of around 90% and negative predictive values (NPVs) of >97%, accurately screening out Caucasian and Chinese men with low risk of osteoporosis.

CONCLUSIONS

OST and MOST can effectively rule out osteoporosis for both Caucasian and Chinese men, and compared to referring men 65 years and older for BMD DXA testing, they save a third of DXA resources.

Impact of systematic implementation of a clinical case finding strategy on diagnosis and therapy of postmenopausal osteoporosis

INTRODUCTION

Case finding for osteoporosis in postmenopausal women is advocated in guidelines of osteoporosis, but implementation is unsatisfactory. We studied, in daily practice, the impact of systematic implementation of a previously validated clinical decision rule and fracture history on referral for bone densitometry (DXA) and drug prescription for osteoporosis.

MATERIALS AND METHODS

Before-after impact analysis in 41,478 consecutive consulting postmenopausal women, included by 1080 general practitioners (GPs) during 2 mo, using the osteoporosis self-assessment (OST) index (based on age and weight, indicating women at low [LR], moderate [MR], and high risk [HR] for having osteoporosis [T-score < -2.5 in spine and/or hip]) and fracture history. Relative risks (RRs) and 95% CIs were calculated between referrals before (n = 6580) and after intervention (n = 10,379) and between risk subgroups.

RESULTS

Post-intervention RR for referral for DXA was 1.9 (95% CI, 1.8-2.0). Compared with LR women with prior DXA, the RR was 6.3 (95% CI, 6.0-6.6) in MR and 10.7 (95% CI, 10.0-11.4) in HR women without fracture, but similar in MR and HR women with fracture (11.4 and 11.6, respectively). New cases of osteoporosis were diagnosed in 3811 women, 96% of whom were prescribed drug treatment. Of HR women, 79% were referred for DXA. The sensitivity of a low OST index to predict osteoporosis was 92% and specificity was 16%.

CONCLUSIONS

The impact of temporary systematic implementation of this case finding strategy on GP practice was high: it nearly tripled referrals for DXA, and 96% of patients found to have osteoporosis had treatment. The impact depended on OST index and fracture history. Only 79% of HR women were referred for DXA. Specificity of a low OST index to predict osteoporosis was low. This indicates the need in the GP population for case finding strategies with fewer barriers for referral for DXA and with higher accuracy for predicting osteoporosis.

The utility of clinical decision tools for diagnosing osteoporosis in postmenopausal women with rheumatoid arthritis

Background

Patients with rheumatoid arthritis have a higher risk of low bone mineral density than normal age matched populations. There is limited evidence to support cost effectiveness of population screening in rheumatoid arthritis and case finding strategies have been proposed as a means to increase cost effectiveness of diagnostic screening for osteoporosis. This study aimed to assess the performance attributes of generic and rheumatoid arthritis specific clinical decision tools for diagnosing osteoporosis in a postmenopausal population with rheumatoid arthritis who attend ambulatory specialist rheumatology clinics.

Methods

A cross-sectional study of 127 ambulatory post-menopausal women with rheumatoid arthritis was performed. Patients currently receiving or who had previously received bone active therapy were excluded. Eligible women underwent clinical assessment and dual-energy-xray absorptiometry (DXA) bone mineral density assessment.

Clinical decision tools, including those specific for rheumatoid arthritis, were compared to seven generic post-menopausal tools to predict osteoporosis (defined as T score < -2.5). Sensitivity, specificity, positive predictive and negative predictive values and area under the curve were assessed. The diagnostic attributes of the clinical decision tools were compared by examination of the area under the receiver-operator-curve.

Results

One hundred and twenty seven women participated. The median age was 62 (IQR 56–71) years. Median disease duration was 108 (60–168) months. Seventy two (57%) women had no record of a previous DXA examination. Eighty (63%) women had T scores at femoral neck or lumbar spine less than -1. The area under the ROC curve for clinical decision tool prediction of T score <-2.5 varied between 0.63 and 0.76. The rheumatoid arthritis specific decision tools did not perform better than generic tools, however, the National Osteoporosis Foundation score could potentially reduce the number of unnecessary DXA tests by approximately 45% in this population.

Conclusion

There was limited utility of clinical decision tools for predicting osteoporosis in this patient population. Fracture prediction tools that include risk factors independent of BMD are needed.

Assessing population risk for postmenopausal osteoporosis: a new strategy using data from the Behavioral Risk Factor Surveillance System (BRFSS)

Osteoporosis public health measures are hindered by the inability to easily identify subclinical disease. We have now estimated state-specific osteoporosis prevalences using a simple formula (OST Index) to analyze age and weight of 62,882 older women; the prevalences determined are similar to those based on BMD. This new method has potential use for guiding implementation of osteoporosis prevention/treatment programs.

INTRODUCTION

Although osteoporosis-related fractures are a major U.S. public health issue, population-based prevention programs have not yet been developed. One contributing factor has been lack of a suitable screening test to detect asymptomatic high-risk individuals.

MATERIALS AND METHODS

We estimated state-specific prevalences of postmenopausal osteoporosis using the Osteoporosis Self-Assessment Tool Index (OST Index; [self-reported weight in kg - age] x 0.2) to analyze data from 62,882 women >or=50 yr of age who participated in the 2002 Behavioral Risk Factor Surveillance System (BRFSS). The OST Index, designed to assess an individual's risk of disease, has previously been shown to have modest positive and high negative predictive value for osteoporosis defined by BMD criteria. Based on this index, women from each state were distributed among high-, moderate-, and low-risk OST categories. Calculated percentages for each category were weighted to U.S. Census Bureau population projections for 2002. By adjusting results to reflect previously validated percentages of women with osteoporosis in each risk category, we estimated the prevalence of postmenopausal osteoporosis in each state.

RESULTS

Our calculated weighted prevalence estimates agreed closely with those of the National Osteoporosis Foundation derived from actual femoral neck BMD measurements obtained in the third National Health and Nutrition Examination Survey (1988-1994) and projected to U.S. census state population predictions for 2002. Comparison of unweighted BRFSS-OST results and NHANES BMD data revealed similar percentages of osteoporosis among all women >or=50 yr of age (BRFSS, 18.5%; NHANES, 18.0%; p = 0.47) and also among white women (BRFSS, 19.0%; NHANES, 20.0%; p = 0.28). However, the percentages of osteoporosis among blacks and Hispanics did not correspond, at least partly because of the lack of race-specific reference standards for BMD measurements and OST index ranges.

CONCLUSIONS

Analysis of readily available BRFSS data with the OST index formula is a simple, no-cost technique that provides state prevalence estimates of postmenopausal osteoporosis that could be used to guide allocation of resources to statewide osteoporosis prevention programs.