Utility of screening tools for the prediction of low bone mass in African American men

Prevalence of and risk factors for vertebral fracture and low bone mineral density among Peruvian women aging with HIV

Osteoporosis and fracture risk among women with HIV in Latin America is understudied. In a sample of Peruvian women with and without HIV, women with HIV had lower femoral neck and total hip BMD and a higher proportion of vertebral fractures. Important treatment gaps were identified across both groups.

PURPOSE

Studies have shown that patients with HIV are at increased risk for bone loss and fracture due to a combination of host, viral, and antiretroviral therapy (ART)-related factors. We aimed to explore the prevalence of vertebral fracture (VF) and low bone mineral density (BMD) among women aging with HIV in Peru and identify risk factors for osteoporosis and fracture in this population.

METHODS

We enrolled women living with and without HIV aged ≥40 years between 2019 and 2020. Participants completed a survey and obtained dual X-ray absorptiometry (DXA) test to assess BMD at the lumbar spine (LS), femoral neck (FN), and total hip (TH). A subset of patients also obtained lateral thoracolumbar X-rays. Presence of VF was determined using the Genant semiquantitative method. Regression analyses were used to model associations between key risk factors and BMD.

RESULTS

104 women living with HIV and 212 women living without HIV were enrolled with a mean age of 52.4±8.2 and 56.4±8.8 years (p < 0.001). Among postmenopausal women (257/316, 81.3%), 26.3% of women living with HIV and 25.9% of those without HIV had osteoporosis. Among the 88 women living with HIV and 178 women living without HIV who obtained thoracolumbar X-rays, 12.5% and 6.2%, respectively, had at least one VF. Based on DXA and the FRAX score, 22/104 women living with HIV met criteria for osteoporosis treatment according to national guidelines; however, none were on treatment. Propensity score matching revealed that women living with HIV had 0.032 g/cm2 lower FN BMD (p = 0.012) and 0.034 g/cm2 lower TH BMD (p = 0.041) compared to women without HIV.

CONCLUSION

In this study, women living with HIV on long-standing ART had increased VF prevalence compared to the slightly older group of women without HIV. Age and BMI were independent predictors for BMD at the lumbar spine, hip, and femoral neck among women living with HIV, and there was a treatment gap among women who met criteria for osteoporosis treatment. Larger studies are needed in this region to identify individuals at risk for fracture and to inform prevention guidelines.

Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review

Bone health screening plays a vital role in the early diagnosis and treatment of osteoporosis to prevent fragility fractures among the elderly and high-risk individuals. Dual-energy X-ray absorptiometry (DXA), which detects bone mineral density, is the gold standard in diagnosing osteoporosis but is not suitable for screening. Therefore, many screening tools have been developed to identify individuals at risk for osteoporosis and prioritize them for DXA scanning. The Osteoporosis Self-assessment Tool (OST) is among the first tools established to predict osteoporosis in postmenopausal women. It can identify the population at risk for osteoporosis, but its performance varies according to ethnicity, gender, and age. Thus, these factors should be considered to ensure the optimal use of OST worldwide. Overall, OST is a simple and economical screening tool to predict osteoporosis and it can help to optimize the use of DXA.

Screening to Prevent Osteoporotic Fractures: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

IMPORTANCE

Osteoporotic fractures cause significant morbidity and mortality.

OBJECTIVE

To update the evidence on screening and treatment to prevent osteoporotic fractures for the US Preventive Services Task Force.

DATA SOURCES

PubMed, the Cochrane Library, EMBASE, and trial registries (November 1, 2009, through October 1, 2016) and surveillance of the literature (through March 23, 2018); bibliographies from articles.

STUDY SELECTION

Adults 40 years and older; screening cohorts without prevalent low-trauma fractures or treatment cohorts with increased fracture risk; studies assessing screening, bone measurement tests or clinical risk assessments, pharmacologic treatment.

DATA EXTRACTION AND SYNTHESIS

Dual, independent review of titles/abstracts and full-text articles; study quality rating; random-effects meta-analysis.

MAIN OUTCOMES AND MEASURES

Incident fractures and related morbidity and mortality, diagnostic and predictive accuracy, harms of screening or treatment.

RESULTS

One hundred sixty-eight fair- or good-quality articles were included. One randomized clinical trial (RCT) (n = 12 483) comparing screening with no screening reported fewer hip fractures (2.6% vs 3.5%; hazard ratio [HR], 0.72 [95% CI, 0.59-0.89]) but no other statistically significant benefits or harms. The accuracy of bone measurement tests to identify osteoporosis varied (area under the curve [AUC], 0.32-0.89). The pooled accuracy of clinical risk assessments for identifying osteoporosis ranged from AUC of 0.65 to 0.76 in women and from 0.76 to 0.80 in men; the accuracy for predicting fractures was similar. For women, bisphosphonates, parathyroid hormone, raloxifene, and denosumab were associated with a lower risk of vertebral fractures (9 trials [n = 23 690]; relative risks [RRs] from 0.32-0.64). Bisphosphonates (8 RCTs [n = 16 438]; pooled RR, 0.84 [95% CI, 0.76-0.92]) and denosumab (1 RCT [n = 7868]; RR, 0.80 [95% CI, 0.67-0.95]) were associated with a lower risk of nonvertebral fractures. Denosumab reduced the risk of hip fracture (1 RCT [n = 7868]; RR, 0.60 [95% CI, 0.37-0.97]), but bisphosphonates did not have a statistically significant association (3 RCTs [n = 8988]; pooled RR, 0.70 [95% CI, 0.44-1.11]). Evidence was limited for men: zoledronic acid reduced the risk of radiographic vertebral fractures (1 RCT [n = 1199]; RR, 0.33 [95% CI, 0.16-0.70]); no studies demonstrated reductions in clinical or hip fractures. Bisphosphonates were not consistently associated with reported harms other than deep vein thrombosis (raloxifene vs placebo; 3 RCTs [n = 5839]; RR, 2.14 [95% CI, 0.99-4.66]).

CONCLUSIONS AND RELEVANCE

In women, screening to prevent osteoporotic fractures may reduce hip fractures, and treatment reduced the risk of vertebral and nonvertebral fractures; there was not consistent evidence of treatment harms. The accuracy of bone measurement tests or clinical risk assessments for identifying osteoporosis or predicting fractures varied from very poor to good.

Bone Turnover Status: Classification Model and Clinical Implications

Aim: To develop a practical model for classification bone turnover status and evaluate its clinical usefulness. Methods: Our classification of bone turnover status is based on internationally recommended biomarkers of both bone formation (N-terminal propeptide of type1 procollagen, P1NP) and bone resorption (beta C-terminal cross-linked telopeptide of type I collagen, bCTX), using the cutoffs proposed as therapeutic targets. The relationships between turnover subtypes and clinical characteristic were assessed in1223 hospitalised orthogeriatric patients (846 women, 377 men; mean age 78.1±9.50 years): 451(36.9%) subjects with hip fracture (HF), 396(32.4%) with other non-vertebral (non-HF) fractures (HF) and 376 (30.7%) patients without fractures. Resalts: Six subtypes of bone turnover status were identified: 1 - normal turnover (P1NP>32 μg/L, bCTX≤0.250 μg/L and P1NP/bCTX>100.0[(median value]); 2- low bone formation (P1NP ≤32 μg/L), normal bone resorption (bCTX≤0.250 μg/L) and P1NP/bCTX>100.0 (subtype2A) or P1NP/bCTX<100.0 (subtype 2B); 3- low bone formation, high bone resorption (bCTX>0.250 μg/L) and P1NP/bCTX<100.0; 4- high bone turnover (both markers elevated ) and P1NP/bCTX>100.0 (subtype 4A) or P1NP/bCTX<100.0 (subtype 4B). Compared to subtypes 1 and 2A, subtype 2B was strongly associated with nonvertebral fractures (odds ratio [OR] 2.0), especially HF (OR 3.2), age>75 years and hyperparathyroidism. Hypoalbuminaemia and not using osteoporotic therapy were two independent indicators common for subtypes 3, 4A and 4B; these three subtypes were associated with in-hospital mortality. Subtype 3 was associated with fractures (OR 1.7, for HF OR 2.4), age>75 years, chronic heart failure (CHF), anaemia, and history of malignancy, and predicted post-operative myocardial injury, high inflammatory response and length of hospital stay (LOS) above10 days. Subtype 4A was associated with chronic kidney disease (CKD), anaemia, history of malignancy and walking aids use and predicted LOS>20 days, but was not discriminative for fractures. Subtype 4B was associated with fractures (OR 2.1, for HF OR 2.5), age>75 years, CKD and indicated risks of myocardial injury, high inflammatory response and LOS>10 days. Conclusions: We proposed a classification model of bone turnover status and demonstrated that in orthogeriatric patients altered subtypes are closely related to presence of nonvertebral fractures, comorbidities and poorer in-hospital outcomes. However, further research is needed to establish optimal cut points of various biomarkers and improve the classification model.

Screening for Osteoporosis in Older Men: Operating Characteristics of Proposed Strategies for Selecting Men for BMD Testing

BACKGROUND

The optimal approach for selecting men for bone mineral density (BMD) testing to screen for osteoporosis is uncertain.

OBJECTIVE

To compare strategies for selecting older men for screening BMD testing.

DESIGN

Prospective cohort study.

PARTICIPANTS

A total of 4043 community-dwelling men aged ≥70 years at four US sites.

MAIN MEASURES

BMD at the total hip, femoral neck, and lumbar spine using dual-energy x-ray absorptiometry (DXA). Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and area under the receiver operating curve (AUC) of the Osteoporosis Self-Assessment Tool (OST) and Fracture Risk Assessment Tool (FRAX) without BMD to discriminate between those with and without osteoporosis as defined by World Health Organization (WHO) diagnostic criteria, and between those recommended and not recommended for pharmacologic therapy based on the National Osteoporosis Foundation (NOF) guidelines.

KEY RESULTS

Among the cohort, 216 (5.3%) had a BMD T-score ≤ -2.5 at the femoral neck, total hip, or lumbar spine, and 1184 (29.2%) met criteria for consideration of pharmacologic therapy according to NOF guidelines. The OST had better discrimination (AUC 0.68) than the FRAX (AUC 0.62; p = 0.004) for identifying T-score-defined osteoporosis. Use of an OST threshold of <2 resulted in sensitivity of 0.83 and specificity of 0.36 for the identification of osteoporosis, compared to sensitivity of 0.59 and specificity of 0.59 for the use of FRAX with a cutoff of 9.3% 10-year risk of major osteoporotic fracture.

CONCLUSIONS

The OST performs modestly better than the more complex FRAX in selecting older men for BMD testing to screen for osteoporosis; the use of either tool substantially reduces the proportion of men referred for BMD testing compared to universal screening. Of 1000 men aged 70 and older in this community-based cohort, the use of an OST cutoff of <2 to select men for BMD testing would result in 654 men referred for BMD testing, of whom 44 would be identified as having osteoporosis, and nine with osteoporosis would be missed.

Utility of Osteoporosis Self-Assessment Tool as a Screening Tool for Predicting Osteoporosis in Indian Men

The osteoporosis self-assessment tool (OSTA) predicts the risk of osteoporosis in an individual. It is a simple calculation-based tool [wt (kg) - age (yr)/5] and can be used for measuring bone mineral density (BMD). However, OSTA is influenced by ethnicity. We studied the performance of OSTA index as a screening tool for osteoporosis in 257 community-dwelling North Indian men above 50 yr age. Each subject underwent a detailed clinical, dietary, anthropometric, and biochemical assessment and bone density measurement using dual-energy X-ray absorptiometry. As per World Health Organization criteria, osteoporosis, osteopenia, and normal BMD were observed in 17.9%, 58.8%, and 23.3%, respectively. OSTA index ranged between -6.4 and 8.8. OST index ≤2 predicted osteoporosis with a sensitivity of 95.7% and a specificity of 33.6% and an area under the curve for a receiver operating characteristic curve of 0.702. The OSTA index is an effective screening tool for measuring BMD in elderly Indian men and can be used by primary care physicians.

Optimal Analysis to Discriminate Males’ Osteoporosis With Simple Physiological Indicators

Males account for one third of global hip fracture patients, and their hip fracture-related mortality rate is higher than that of females. Scholars have primarily investigated self-evaluation indicators for elderly Caucasians and other ethnicities, and have rarely conducted large-scale cutoff point studies on Asian males. In this study, a large-scale database on bone mineral density (BMD) examinations was used to conduct a cutoff point study on males with osteoporosis. This study involved a retrospective research design. Males who accepted BMD examinations from 2009 to 2012 at a large teaching hospital in Taiwan were sampled in this study. This study used the database for analyzing effects with using osteoporosis self-assessment indicator, age, body weight, and body mass index (BMI) to discriminate osteoporosis in males, specifically focusing on accuracy, cutoff point, sensitivity, specificity, and positive and negative predictive values. Overall, receiver operating characteristic curve for the samples reached 70%. These cutoff points included: a body weight is less than 58.8 kg, BMI is 23 kg/m2, and the osteoporosis self-assessment score is −1.86, to identify osteoporosis. Involving body weight and BMI as optimal assessing indicators for assessing osteoporosis among males younger than 65 years, and the osteoporosis self-assessment tool was ideal for measuring males older than 65 years. Professional health staff should apply convenient, low-cost, and accurate evaluation tools that can assist Asian males in planning preventive osteoporosis strategies to avoid osteoporotic fractures and death.

Development and Validation of Osteoporosis Risk-Assessment Model for Korean Men

PURPOSE

The aim of the present study was to develop an osteoporosis risk-assessment model to identify high-risk individuals among Korean men.

MATERIALS AND METHODS

The study used data from 1340 and 1110 men ≥50 years who participated in the 2009 and 2010 Korean National Health and Nutrition Examination Survey, respectively, for development and validation of an osteoporosis risk-assessment model. Osteoporosis was defined as T score ≤-2.5 at either the femoral neck or lumbar spine. Performance of the candidate models and the Osteoporosis Self-assessment Tool for Asian (OSTA) was compared with sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). A net reclassification improvement was further calculated to compare the developed Korean Osteoporosis Risk-Assessment Model for Men (KORAM-M) with OSTA.

RESULTS

In the development dataset, the prevalence of osteoporosis was 8.1%. KORAM-M, consisting of age and body weight, had a sensitivity of 90.8%, a specificity of 42.4%, and an AUC of 0.666 with a cut-off score of -9. In the validation dataset, similar results were shown: sensitivity 87.9%, specificity 39.7%, and AUC 0.638. Additionally, risk categorization with KORAM-M showed improved reclassification over that of OSTA up to 22.8%.

CONCLUSION

KORAM-M can be simply used as a pre-screening tool to identify candidates for dual energy X-ray absorptiometry tests.

Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density

We performed a systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for DXA-determined osteoporosis or low bone density. Commonly evaluated risk instruments showed high sensitivity approaching or exceeding 90% at particular thresholds within various populations but low specificity at thresholds required for high sensitivity. Simpler instruments, such as OST, generally performed as well as or better than more complex instruments.

INTRODUCTION

The purpose of the study is to systematically review the performance of clinical risk assessment instruments for screening for dual-energy X-ray absorptiometry (DXA)-determined osteoporosis or low bone density.

METHODS

Systematic review and meta-analysis were performed. Multiple literature sources were searched, and data extracted and analyzed from included references.

RESULTS

One hundred eight references met inclusion criteria. Studies assessed many instruments in 34 countries, most commonly the Osteoporosis Self-Assessment Tool (OST), the Simple Calculated Osteoporosis Risk Estimation (SCORE) instrument, the Osteoporosis Self-Assessment Tool for Asians (OSTA), the Osteoporosis Risk Assessment Instrument (ORAI), and body weight criteria. Meta-analyses of studies evaluating OST using a cutoff threshold of <1 to identify US postmenopausal women with osteoporosis at the femoral neck provided summary sensitivity and specificity estimates of 89% (95%CI 82-96%) and 41% (95%CI 23-59%), respectively. Meta-analyses of studies evaluating OST using a cutoff threshold of 3 to identify US men with osteoporosis at the femoral neck, total hip, or lumbar spine provided summary sensitivity and specificity estimates of 88% (95%CI 79-97%) and 55% (95%CI 42-68%), respectively. Frequently evaluated instruments each had thresholds and populations for which sensitivity for osteoporosis or low bone mass detection approached or exceeded 90% but always with a trade-off of relatively low specificity.

CONCLUSIONS

Commonly evaluated clinical risk assessment instruments each showed high sensitivity approaching or exceeding 90% for identifying individuals with DXA-determined osteoporosis or low BMD at certain thresholds in different populations but low specificity at thresholds required for high sensitivity. Simpler instruments, such as OST, generally performed as well as or better than more complex instruments.

Sensitivity of osteoporosis screening guidelines for eventual hip fracture in older male veterans

This study sought to determine whether guideline-recommended clinical criteria to select men for osteoporosis screening provide significantly better sensitivity than the osteoporotic screening tool (OST) among men who later went on to have a hip fracture, and whether the sensitivity differs by race. This retrospective observational study uses data from the Department of Veterans Affairs Austin Automation Center. We identified 825 male veterans with hip fractures from 2007 to 2009. Clinical risk factors used as screening selection criteria were abstracted from five accepted guidelines. Outpatient encounters were examined for each subject to determine whether they would have met screening selection criteria for each guideline in the 5 years before their hip fracture event. Sensitivities for each guideline were compared with the OST, using McNemar's exact test. Sensitivities of Veterans Affairs Health Service Research and Development Services (VA HSR&D) and National Osteoporosis Foundation (NOF) guidelines were 77% and 82%, respectively, and were significantly better than the OST sensitivity of 72% (P<0.05). Sensitivities of American College of Physicians (ACP; 68%), VA Secretary's Letters (45%) and Center for Medicare and Medicaid Services (13%) were significantly worse than the OST sensitivity (P<0.001). The sensitivities of the VA HSR&D, ACP and NOF were significantly higher in Whites compared with non-Whites (76% vs 65%, P<0.01; 70% vs 58%, P<0.01; and 84% vs 70%, P<0.001, respectively). Only VA HSR&D and NOF clinical screening criteria are more sensitive than OST in identifying veterans who subsequently experience hip fractures, and these sensitivities vary by race.

A New Predictive Index for Osteoporosis in Men under 70 Years of Age: An Index to Identify Male Candidates for Osteoporosis Screening by Bone Mineral Density

Background. Bone mineral density (BMD) screening guidelines for osteoporosis in men seem to have remained unclear. We aimed to set up a predictive index for the osteoporosis(PIO) in men under 70 years of age and present the optimal cutoff value of it, so that clinicians might use it to identify male candidates who benefit from taking the BMD screening. Methods. Adult men under 70 years old who met certain criteria were included. With the determined significant predictors for osteoporosis, we created a new index that presumably best predicts the osteoporosis and compared the predictability of it to other variables. Lastly, the optimal cutoff value of the PIO was calculated. Results. A total of 359 men were included. Age, weight, and current smoking status turned out to be significant predictors for osteoporosis. The PIO was as follows: [age(years) + 10 (for current smoker)]/weight(kg). Compared to other variables, the PIO showed the greatest predictive performance with the optimal cutoff point being 0.87 at which sensitivity and specificity were 71.9% and 70.0%, respectively. Conclusion. A new predictive index appeared to predict the presence of osteoporosis fairly well and thus can be used with its cutoff point to identify men under 70 years of age who need BMD screening.

Chinese men's knowledge and risk factors of osteoporosis: compared with women's

Male osteoporosis is underappreciated. Little is known about men's knowledge of osteoporosis and how much men are at risk. This study surveyed men's knowledge of osteoporosis and their risk factors with reference to women in the primary care setting in Macau, China. A convenience sample of 302 men and 635 women aged 18 to 90 years completed questionnaires comprising the Osteoporosis Knowledge Assessment Tool and the One-Minute Osteoporosis Risk Test. Their risks of osteoporosis were assessed with the Osteoporosis Self-Assessment Screening Test. Men and women, who were aged 55 years or below, had similarly limited knowledge of osteoporosis. People aged above 55 years had significantly less knowledge; men had less knowledge than women only in this age-group. If questions specific to women or menopause were excluded, men had similar knowledge as women. A higher proportion of men than women had risk factors as more men consumed alcohol or smoked tobacco. Similar proportions of men and women reported a loss of 1 inch in body height after age 40. After age 55, 29.2% men were at medium to high risk of osteoporosis. This study concludes that health education and primary prevention of osteoporosis should be promoted to men starting in middle-age.

Prevalence of low bone mineral density in a low-income inner-city population

Bone mineral density (BMD) is an important factor linked to bone health. Little is known of the prevalence of low BMD and its associated risk factors in an urban underserved population. Between 2001 and 2004, we recruited 338 subjects who completed drug use and medical history questionnaires, underwent hormonal measurements, and underwent whole-body dual-energy X-ray absorptiometry (DXA) for evaluation of BMD and body composition. Of these, 132 subjects had site-specific DXA (lumbar spine and hip) performed. Osteoporosis was defined as a T-score of -2.5 or less for men 50 years of age and older and postmenopausal women and a Z-score of -2.0 or less in men younger than 50 years of age and premenopausal women at either the lumbar spine, total hip, or femoral neck, according to National Osteoporosis Foundation (NOF) guidelines. The cohort consisted of mostly African-American, middle-aged people with a high prevalence of illicit drug use, 50% HIV(+), and 39% hepatitis C(+). Osteoporosis was identified in 22% of subjects (24 men, 5 women), with the majority of cases (90%) attributable to osteoporosis at the lumbar spine. Osteoporosis was more common in men than in women. Lower whole-body BMD among women was associated with multiple risk factors, but only with lower lean mass among men. Osteoporosis was highly prevalent in men, mainly at the spine. The risk factors for bone loss in this population need to be further clarified. Screening men for osteoporosis starting at age 50 might be warranted in this population given the multiple risk factors and the unexpectedly high prevalence of low BMD.

Selecting men for bone densitometry: performance of osteoporosis risk assessment tools in Portuguese men

SUMMARY

Clinicians need tools to identify patients most likely to benefit from bone mineral density (BMD) testing, for which cost-effectiveness does not allow generalized screening. This study supports the utility of osteoporosis risk assessment tools in selecting men for BMD testing. Different cutoff values may be appropriate for different countries and/or ethnic origins.

INTRODUCTION

Our aim was to evaluate the utility of three osteoporosis (OP) risk assessment tools in a large group of Portuguese men aged 50 or more and to determine the best cutoff value to be used for selecting men for bone densitometry.

METHODS

We assessed the performance of three simple tools in 202 randomly selected men: body weight criterion (BWC), osteoporosis self-assessment tool for Asians (OSTA), and a modified version of the OSTA equation (OST). Previously published cutoff values (validated in postmenopausal women) and three additional cutoff values were tested. Sensitivity (SE), specificity (SP), predictive values, and area under the receiver operating characteristic (AUROC) curve for correctly selecting men with OP (defined by BMD testing) were determined.

RESULTS

Mean age of the cohort was 63.8 years. According to the World Health Organization diagnostic categories, 16.8% had osteoporosis. The best performing cutoffs for correctly selecting men with OP for BMD testing were OST < 3 (SE = 75.5%, SP = 50.0%, AUROC = 0.632), OSTA < 3 (SE = 73.5%, SP = 58.3%, AUROC = 0.659), and BWC < 75 kg (SE = 73.5%, SP = 61.3%, AUROC = 0.674).

CONCLUSIONS

OP risk assessment tools seem to be useful in men aged 50 or more. Best cutoff values are different from those recommended for postmenopausal women. Different cutoff values may be appropriate for different countries and/or ethnic origins.

Dual-energy X-ray absorptiometry and evaluation of the osteoporosis self-assessment tool in men with rheumatoid arthritis

Males with rheumatoid arthritis (RA) are at risk for osteoporosis but infrequently undergo dual-energy X-ray absorptiometry (DXA). We examined the frequency of DXA in males enrolled in the Veterans Affairs Rheumatoid Arthritis Registry. The Osteoporosis Self-Assessment Tool (OST) index, a formula using age and weight, was calculated for all subjects. DXA was performed on 282 (35.5%) of the males who were younger (p < 0.01), had lower mean OST index score (p < 0.05), and were more likely to have been prescribed prednisone (p < 0.01) than subjects without DXA. Low bone mass (T-score < -1) was present in 73% of subjects with DXA; 37% of subjects with low-risk OST index scores had normal bone mineral density (BMD) compared with 5.6% of those with high-risk OST index scores (p < 0.01). There was a significant but modest correlation between BMD and the OST index (r = 0.17, p < 0.01). No OST score had a sensitivity and specificity of more than 80%. Association between OST index and BMD was strongest in non-Hispanic whites, subjects older than 60 yr, and smokers. DXA was underutilized in males with RA. The OST index correlated with low bone mass but could not reliably predict osteoporosis in this population.

Effects of vitamin D insufficiency on bone mineral density in African American men

In African American men serum, 25-hydroxyvitamin D (25-OHD) was below 30 ng/ml in 89% of subjects. In overall group, there was no correlation between 25-OHD and bone mineral density (BMD). A subgroup analysis of subjects with 25-OHD <or=15 ng/ml showed that serum 25-OHD was positively associated with BMD.

INTRODUCTION

This study examined the effects of low serum 25-hydroxyvitamin D (25-OHD) on bone mineral density (BMD) in African American (AA) men from the general medicine clinic at an inner city Veteran Administration medical center.

METHODS

The data for 112 AA males who had both 25-OHD levels and BMD of spine and hip were extracted and analyzed using SAS software.

RESULTS

AA men were aged 38 to 85 years, with mean age of 62 years. Levels of 25-OHD ranged from 4 to 45 ng/ml, with mean 17.5 ng/ml, 24% and 89% of the subjects had 25-OHD below 10 and 30 ng/ml, respectively. In the overall group, there was no correlation between 25-OHD and BMD at any site. In a subgroup analysis of subjects with 25-OHD <or=15 ng/ml, in multiple adjusted models, 25-OHD was positively associated with BMD of spine (r = 0.26, p = 0.05), total hip (r = 0.27, p < 0.05), ward's triangle (r = 0.25, p = 0.05), and trochanter (r = 0.30, p < 0.05).

CONCLUSIONS

The negative effect of vitamin D insufficiency on bone was observed only at very low levels of 25-OHD, suggesting that AA male skeleton is relatively resistant to the effects of secondary hyperparathyroidism.

Validation of a novel risk estimation tool for predicting low bone density in Caucasian and African American men veterans

Osteoporosis in men is a frequently missed diagnosis. We developed an additive risk index, Mscore (male, "simple calculated osteoporosis risk estimation"), based on bone mineral density (BMD) at the femoral neck (FN) in 639 ambulatory older male veterans. Mscore was derived from the nearest whole number ratio among regression coefficients for 5 variables independently associated with osteoporosis. Mscore=[2 x (patient age in decades)-(weight in lb/10)+4 if gastrectomy, +4 if emphysema, +3 if two or more prior fractures+14]. Age and weight variable scores are truncated to integers (i.e., 7 if 75 yr, 18 if 185 lb). Increased risk is reflected in higher Mscore values. We validated Mscore in 197 Caucasian male patients (mean age, 69 yr): values of 9 or higher had 88% sensitivity, 57% specificity, and an area under the curve (AUC) of 0.84 for predicting osteoporosis at the FN (population prevalence, 11%). Mscore values ranged from -9 to 20 allowing us to define low (<9), moderate (9-13), or high (>13) risk categories. Two percent of low-risk men had osteoporosis, 36% or 55% of high-risk men had osteoporosis or osteopenia, respectively. In younger African American (n=134) male veterans (mean age, 61 yr), age and weight were the only variables independently predictive of FN BMD. A reduced Mscore(age-weight) (age and weight variable scores+14) at a cutoff threshold of 9 predicted osteoporosis in African American men (population prevalence, 3%) with a sensitivity of 100%, a specificity of 73%, and an AUC of 0.99. Finally, we compared Mscore with another validated osteoporosis self-assessment tool (OST). OST at a cutoff threshold of 4 or Mscore(age-weight) at a cutoff threshold of 9 performed similarly in both of our populations of Caucasian and African American men. In conclusion, a validated Mscore index with 5 variables was only slightly more robust for predicting osteoporosis in older Caucasian men than 2 (independently derived) risk indices based on age and weight. Mscore(age-weight) or OST is easy to use and can be applied in populations of younger African American men.