Opportunistic screening for osteopathy with routine abdominal computed tomography scan in chronic pancreatitis.

BACKGROUND AND AIMS: Lumbar vertebral bone attenuation, measured in Hounsfield units (HU) can indirectly indicate the bone mineral density (BMD). The aim of this study is to determine the optimal HU threshold on abdominal computed tomography (CT) scans to detect osteopathy in patients with chronic pancreatitis (CP). METHODS: This cross-sectional study included patients with CP who underwent CT scans to measure HU at L1 to L4 vertebrae. The mean lumbar vertebral attenuation of female renal transplant donors, aged 20-30 years was utilized to calculate the T-scoreHU of all patients at each vertebral level. Receiver operator characteristic analysis was used to determine the HU and T-scoreHU for diagnosis of osteopathy in patients with CP. Dual-energy X-ray absorptiometry value was used to categorize osteopenia and osteoporosis. RESULTS: A total of 175 patients (mean age, 34.5 ± 10.9 years; 72 % males) and 33 female renal transplant donors (mean age, 28 ± 2.4 years) were included. A threshold HU value 212 or T scoreHU of -1.80 at L1 vertebra was found to have a 78 % sensitivity and 70 % specificity for differentiating between osteoporosis and non-osteoporosis (osteopenia and normal BMD). Similarly, a threshold HU value of 254 or a T-scoreHU of -0.46 at L1 vertebra had 78 % sensitivity and 71 % specificity for distinguishing between normal and low BMD (osteoporosis and osteopenia). CONCLUSION: Abdominal CT images, which are routinely performed in chronic pancreatitis, can be used for opportunistic screening of osteoporosis and osteopenia without additional cost or radiation exposure.

Body composition parameters and sarcopenia in adults with Down syndrome: a case-control study.

BACKGROUND: Individuals with Down syndrome (DS) experience premature aging. Whether accelerated aging involves changes in body composition parameters and is associated with early development of sarcopenia is unclear. AIMS: To compare parameters of body composition and the prevalence of sarcopenia between adults with DS and the general population. METHODS: Body composition was assessed by whole-body dual-energy X-ray absorptiometry (DXA). Fat mass (FMI) and skeletal mass indices (SMI) were calculated as the ratio between total body fat mass and appendicular lean mass and the square of height, respectively. Fat mass distribution was assessed by the android/gynoid fat ratio (A/G). Sarcopenia was defined according to the criteria and cut-points recommended by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). Data on age- and sex-matched non-DS controls were retrieved from the 2001-2002 National Health and Nutrition Examination Survey (NHANES) population. RESULTS: Sixty-four DS adults (mean age 37.2 ± 12.0 years, 20.3% women) were enrolled and compared with age- and sex-matched NHANES participants (n = 256), in a 1:4 ratio. FMI (7.96 ± 3.18 kg/m2 vs. 8.92 ± 4.83 kg/m2, p = 0.135), SMI (7.38 ± 1.01 kg/m2 vs. 7.46 ± 2.77 kg/m2, p = 0.825) and A/G (0.98 ± 0.17 vs. 1.01 ± 0.22, p = 0.115) were not significantly different between DS and control participants. When the sample was stratified by sex, women with DS had a higher FMI compared with their NHANES controls (10.16 ± 4.35 kg/m2 vs. 8.11 ± 4.29 kg/m2, p < 0.001), while men with DS had lower A/G ratio (1.04 ± 0.16 vs. 1.11 ± 0.22, p = 0.002). Sarcopenia was more frequent in individuals with DS than in controls (35.6% vs. 19.9%, p = 0.007). This association was stronger in men 40 years and older. CONCLUSIONS: Adults with DS have a higher prevalence of sarcopenia compared with the general population. This finding suggests that DS is associated with early muscle aging and calls for the design of interventions targeting the skeletal muscle to prevent or treat sarcopenia.

Bone Density Screening Rates Among Medicare Beneficiaries: An Analysis with a focus on Asian Americans.

PURPOSE: To report osteoporosis screening utilization rates among Asian American (AsA) populations in the USA. METHODS: We retrospectively assessed the use of dual-energy X-ray absorptiometry (DXA) screening using the Medicare 5% Research Identifiable Files. Using Current Procedural Terminology (CPT) codes indicative of a DXA scan, we identified patients recommended for DXA screening according to the ACR-SPR-SSR Practice Parameters (females ≥ 65 years, males ≥ 70 years). Sociodemographic factors and their association with screening were evaluated using chi-square tests. RESULTS: There were 80,439 eligible AsA beneficiaries, and 12,102 (15.1%) received osteoporosis screening. DXA rate for women was approximately four times greater than the rate for men (19.8% vs. 5.0%; p < 0.001). AsA beneficiaries in zip codes with higher mean household income (MHI) were more likely to have DXA than those in lower MHI areas (17.6% vs. 14.3%, p < 0.001). AsA beneficiaries aged < 80 were more likely to receive DXA (15.5%) than those aged ≥ 80 (14.1%, p < 0.001). There were 2,979,801 eligible non-AsA beneficiaries, and 496,957 (16.7%) received osteoporosis screening during the study period. Non-Hispanic white beneficiaries had the highest overall screening rate (17.5%), followed by North American Native (13.0%), Black (11.8%), and Hispanic (11.1%) beneficiaries. Comparing AsA to non-AsA populations, there were significantly lower DXA rates among AsA beneficiaries when controlling for years of Medicare eligibility, patient age, sex, location, and mean income (p < 0.001). CONCLUSION: We found lower than expected DXA screening rates for AsA patients. A better understanding of the barriers and facilitators to AsA osteoporosis screening is needed to improve patient care.

The Association of Pelvic Bone Mineral Density and With Proximal Femoral and Spine Bone Mineral Density in Post-menopausal Women.

Pelvic fragility fractures result in significant morbidity and their incidence has increased over the past 30 years. One of the main risk factors in skeletal fragility is bone mineral density (BMD). Most of the current literature has focused on understanding spine and hip BMD. We aimed to measure the BMD of pelvis in a cohort of post-menopausal women and compare it to BMD at other skeletal sites. A questionnaire regarding risk factors for osteoporosis was completed by each participant. DXA scan of the pelvis was performed using research software. Three areas of the pelvis corresponding to common fractures were defined on pelvic DXA: R1 = symphysis public, R2 = inferior public rami, R3 = superior public rami. Pelvic BMD was calculated as the average BMD of R1-3. BMD at each location was reported as mean and standard deviation (SD). ANOVA was used to compare BMD between R1-R3 and pelvis, femoral neck, total hip, and spine. Pearson correlation was used to correlate pelvic BMD to BMD of proximal femur and spine. BMD was compared in four participant groups: 1- osteoporosis in spine and hip, 2- osteoporosis in spine only, 3-osteoporosis in hip only, and 4- no osteoporosis in spine and hip. The effect of diabetes and obesity on BMD at various skeletal sites was analyzed. Among the one hundred postmenopausal women enrolled in the study, age was: 64 ± 8, 31% were obese (BMI ≥ 30), and 8% had a diagnosis of type 2 diabetes. Pelvic area R3 had significantly higher BMD than R1 or R2 (p < 0.001). Pelvic BMD (0.50 ± 0.16) was significantly lower than total hip (0.70 ± 0.20) and spine BMD (0.97 ± 0.19) (p < 0.001). Pelvic BMD correlated with BMD at other skeletal locations, with the highest correlation with total hip (total hip: R2: 0.70, femoral neck R2: 0.50, spine R2: 0.65). Pelvic BMD was significantly lower in patients with osteoporosis of both hip and spine compared to the group without osteoporosis at both locations (p = 0.02). Obesity and type 2 diabetes were both associated with significantly higher BMD at pelvis, spine, and total hip. Pelvic BMD is lower than at other skeletal sites and is highly correlated with total hip area bone density. Obesity and type 2 diabetes are associated with higher pelvic BMD. To establish guidelines for the treatment pelvic BMD, studies defining the association of pelvic BMD with pelvic fracture risk are needed.

How do we define and measure sarcopenia? A meta-analysis of observational studies.

OBJECTIVE: this study aimed to investigate how sarcopenia has been defined and measured in the literature reporting its prevalence, and how different definitions and measurement tools can affect prevalence estimates. DESIGN: systematic review and meta-analysis. SETTING AND PARTICIPANTS: community-dwelling older people. METHODS: meta-analysis of data collected from observational studies. We performed an electronic search in five databases to identify studies reporting the prevalence of sarcopenia. We used descriptive statistics to present data pertaining sarcopenia definition and measurement tools, and the quality-effects model for meta-analysis of pooled prevalence. RESULTS: we found seven different operational definitions for sarcopenia and a variety of tools applied to assess the sarcopenic markers; muscle mass, muscle strength and physical performance. The prevalence of sarcopenia varied between the definitions with general estimates ranging from 5% based on the European Working Group on Sarcopenia in Older People (EWGSOP1) criterion to 17% with the International Working Group on Sarcopenia. According to the tool used to assess muscle mass, strength and physical performance, prevalence values also varied within definitions extending from 1 to 7%, 1 to 12% and 0 to 22%, respectively. CONCLUSION AND IMPLICATIONS: the criteria used to define sarcopenia, as well as the measurement tools applied to assess sarcopenic markers have influence in the prevalence of sarcopenia. The establishment of a unique definition for sarcopenia, the use of methods that guarantee an accurate evaluation of muscle mass and the standardisation of measurement tools are necessary to allow a proper diagnosis and comparison of sarcopenia prevalence among populations.

Effect of tactile/kinesthetic massage therapy on growth and body composition of preterm infants.

Massage therapy (MT) improves growth parameters in preterm infants. The growth of lean mass rather than fat mass has been associated with better long-term outcomes. We aimed to study the effect of tactile/kinesthetic MT on growth and body composition parameters in preterm infants. Preterm (< 32 weeks gestation) infants were randomly assigned at corrected gestational age of 35 weeks to receive 3 consecutive, 15-min, sessions of MT over 5 days or routine care. Primary outcome was mean daily weight gain. Secondary outcomes included anthropometric measurements and body composition parameters assessed by dual X-ray absorptiometry (DXA) scan. Out of 218 infants screened, 86 were eligible and 60 infants (30 in each group) were recruited after parental consent. MT was associated with significant increase in daily weight gain [19.3 (10-34.3) versus 6.2 (2.5-18.4) g/day, p = 0.01] and growth velocity [12.5 (6-21) versus 3.6 (1.6-12.6) g/kg/d, p = 0.01] compared with routine care. Infants on MT showed significant increase in total body mass, fat mass (total/legs), lean mass (total/arms/legs/trunk), and bone mineral density (arms/legs/trunk) values compared with routine care group. In conclusions, MT improves growth quality as evident by increased total and regional lean masses, increased bone mineral density, and peripheral rather than central fat distribution. What is known on this subject? • Massage therapy (MT) for preterm infants leads to achievement of faster independent oral feeding, increased weight gain, less stress, less response to pain, less occurrence of sepsis, and shorter hospital stay. • Growth of lean mass rather than fat mass has been associated with better long-term outcomes. What this study adds? • Tactile/kinesthetic massage therapy in preterm infant is associated with improved growth parameters and anthropometric measures. • Tactile/kinesthetic massage therapy increased total body mass, fat mass (total/legs), lean mass (total/arms/legs/trunk), and bone mineral density (arms/legs/trunk) values.

Quantification of Scan Analysis Errors in GE Lunar DXA Visceral Adiposity in Adults.

Utilization of dual-energy X-ray absorptiometry is increasing in clinical settings and the fitness industry as a viable tool to assess total and regional body composition, including visceral adiposity. Previous research using small samples (<50) has described several pitfalls in patient positioning, scan acquisition, and/or analysis that alter regional body composition values. Our aim was to quantify the largest probable error in measures of total, android, gynoid, and visceral fat caused by incorrect placement of the head cut-line, in a large sample of adults. Total body images (N = 436) from 196 women and 67 men (20-85 years) scanned on a GE Lunar Prodigy densitometer were analyzed using enCORE software in 2 ways: (1) placing the head cut-line just beneath the bony protuberance of the chin according to manufacturer recommendation (correct method); (2) placing the head cut-line at the lowest point below the chin and just above the soft tissue at the shoulders (incorrect method). All other cut-lines were fixed. Mean differences in adiposity were examined using Lin's concordance correlation coefficient; equality of means and variances were evaluated using Bradley-Blackwood F-tests. The limits of agreement were displayed as Bland-Altman plots and calculated as the mean difference ±1.96 times the standard deviation of the difference. Correlation coefficients for paired comparisons of adiposity for correct vs incorrect cut-line placement ranged from 0.983-0.999 for all variables (all p < 0.001). Significant mean differences were 172 ± 130, 201 ± 168, 65 ± 122, and -143 ± 336 g for android, gynoid, visceral, and total fat mass, respectively (all p < 0.0001). These differences exceeded our site's least significant change in 66%, 37%, 29%, and 4% of participant scans for android, gynoid, visceral, and total fat mass, respectively. Our findings underscore the importance of careful review of the manufacturer's auto analysis and consistency in conducting serial scans to ensure accurate and precise measures of regional body fat.

Severity of reduced bone mineral density and risk of fractures in long-term survivors of childhood leukemia and lymphoma undergoing guideline-recommended surveillance for bone health.

BACKGROUND: Survivors of childhood leukemia/lymphoma are at increased risk for reduced bone mineral density (BMD). The authors sought to determine the frequency of reduced BMD detected by off-therapy surveillance, factors associated with reduced BMD, and the association of reduced BMD with fractures. METHODS: This cross-sectional study included childhood leukemia/lymphoma survivors attending 2 survivorship clinics who received guideline-recommended BMD surveillance ≥2 years post-therapy with dual-energy x-ray absorptiometry (from January 1, 2004 to August 31, 2016). Lumbar spine BMD z-scores were height-for-age-adjusted. Low and very low BMD were >1 SD and >2 SDs below norms, respectively. Treatment, chronic conditions, and fractures were abstracted from medical records. Logistic regression was used to examine the association of low BMD with patient/treatment factors and fractures. RESULTS: In total, 542 patients (51.5% female) with a mean age of 15.5 years (range, 4.4-52.2 years) who were 6 years post-therapy (range, 2.0-35.1 years) were evaluated, including 116 who reported post-therapy fractures. Lumbar spine low BMD was identified in 17.2% of survivors, and very low BMD was identified in 3.5% of survivors, but frequencies varied considerably between subgroups; 10.8% of survivors aged 15 to 19 years at diagnosis had very low BMD. In multivariable analyses, older age at diagnosis, white race, and being underweight were significantly associated with low BMD. Survivors with low BMD had greater odds of nondigit fractures (odds ratio, 2.2; 95% CI, 1.3-3.7) and specifically long-bone fractures (odds ratio, 2.7; 95% CI, 1.5-4.7). CONCLUSIONS: In this study of childhood leukemia/lymphoma survivors undergoing guideline-recommended dual-energy x-ray absorptiometry surveillance, patients who were older at diagnosis, white, and underweight were at the highest risk for lumbar spine low BMD. Low BMD was associated with a greater risk of fractures, emphasizing the clinical importance of surveillance.

COPD as an independent risk factor for osteoporosis and fractures.

Fractures are common in individuals with COPD and occur at higher bone mass values than expected. COPD appears to be an important risk factor for bone fragility. INTRODUCTION: Patients with chronic obstructive pulmonary disease (COPD) have an increased risk of osteoporosis and fractures, but screening and prophylactic measures to prevent both disorders are often neglected in this population. This case-control study assessed the prevalence of osteopenia, osteoporosis, and fractures in patients with COPD, and identified potential risk factors for fractures in this population. METHODS: Overall, 91 patients with COPD (COPD group; COPDG) and 81 age- and sex-matched controls (control group; CG) were assessed with bone mineral density (BMD), thoracic/lumbar spine radiographs, and serum PTH and 25-hydroxyvitamin D (25[OH]D) levels. The occurrence of prior fractures was retrieved from clinical history. RESULTS: The prevalence of total fractures in the COPDG was 57.1% (odds of fracture 4.7 times greater compared with the CG), and the femoral neck T-score emerged as the best predictor of fractures. Compared with the CG, the COPDG had lower spine and femoral BMD (p ≤ 0.01) and 25(OH)D levels (p = 0.01) and 2.6 times greater odds of osteoporosis. Among men, vertebral fractures were more prevalent in the COPDG versus CG (25.9% vs. 6.5%, respectively, p = 0.01). The odds of fracture increased with femoral neck T-scores ≤ - 2.7 in the CG and ≤ - 0.6 in the COPDG. CONCLUSION: These results add robust evidence to an increased odds of osteoporosis and fractures in COPD. Fractures in the COPDG occurred at higher BMD values than expected, suggesting that COPD may be an independent marker of fracture risk, reinforcing a need for regular osteoporosis screening with BMD measurement and prophylaxis of fractures in patients with this disorder.

Advanced 2D image processing technique to predict hip fracture risk in an older population based on single DXA scans.

A new technique to enhance hip fracture risk prediction in older adults was presented and assessed. The new method dramatically improved prediction at high specificity levels using only a standard clinical diagnostic scan. This has the potential to be implemented in clinical practice to enhance patient fragility diagnosis. INTRODUCTION: Diagnosis of osteoporosis is based on the measurement of bone mineral density (BMD) using dual-energy X-ray absorptiometry (DXA) scans. However, studies have shown this to be insufficient to accurately predict hip fractures. Therefore, complementary methods are needed to enhance hip fracture risk prediction to identify vulnerable patients. METHODS: Hip DXA scans were obtained for 192 subjects from the Canadian Multicenter Osteoporosis Study (CaMos), 50 of whom had experienced a hip fracture within 5 years of the scan. 2D statistical shape and appearance modeling was performed to account for the effect of the femur's geometry and BMD distribution on hip fracture risk. Statistical shape modeling (SSM), and statistical appearance modeling (SAM) were also used separately to predict the fracture risk based solely on the femur's geometry and BMD distribution, respectively. Combined with BMD, age, and body mass index (BMI), logistic regression was performed to estimate the fracture risk over the 5-year period. RESULTS: Using the new technique, hip fractures were correctly predicted in 78% of cases compared with 36% when using the T-score. The accuracy of the prediction was not greatly reduced when using SSM and SAM (78% and 74% correct, respectively). Various geometric and BMD distribution traits were identified in the fractured and non-fractured groups. CONCLUSION: 2D SSAM can dramatically improve hip fracture prediction at high specificity levels and estimate the year of the impending fracture using standard clinical images. This has the potential to be implemented in clinical practice to estimate hip fracture risk.

Short-Term, Combined Fasting and Exercise Improves Body Composition in Healthy Males.

Fasting enhances the beneficial metabolic outcomes of exercise; however, it is unknown whether body composition is favorably modified on the short term. A baseline-follow-up study was carried out to assess the effect of an established protocol involving short-term combined exercise with fasting on body composition. One hundred seven recreationally exercising males underwent a 10-day intervention across 15 fitness centers in the Netherlands involving a 3-day gradual decrease of food intake, a 3-day period with extremely low caloric intake, and a gradual 4-day increase to initial caloric intake, with daily 30-min submaximal cycling. Using dual-energy X-ray absorptiometry analysis, all subjects substantially lost total body mass (-3.9 ± 1.9 kg; p < .001) and fat mass (-3.3 ± 1.3 kg; p < .001). Average lean mass was lost (-0.6 ± 1.5 kg; p < .001), but lean mass as a percentage of total body mass was not reduced. The authors observed a loss of -3.9 ± 1.9% android fat over total fat mass (p < .001), a loss of -2.2 ± 1.9% gynoid over total fat mass (p < .001), and reduced android/gynoid ratios (-0.05 ± 0.1; p < .001). Analyzing 15 preselected single-nucleotide polymorphisms in 13 metabolism-related genes revealed trending associations for thyroid state-related single-nucleotide polymorphisms rs225014 (deiodinase 2) and rs35767 (insulin-like growth factor1), and rs1053049 (PPARD). In conclusion, a short period of combined fasting and exercise leads to a substantial loss of body and fat mass without a loss of lean mass as a percentage of total mass.

T-score differences and nonprogression in lumbar vertebrae as predictors of vertebral fractures.

PURPOSE: In case of a vertebral fracture, the area of the vertebrae decreases with a concomitant increase in BMD, as assessed by a DXA scanning. Furthermore, a vertebral fracture may disrupt the normal increase in vertebral body area from L1 to L4 (nonprogression). We aimed to examine associations between T-score difference and nonprogression of vertebral area and vertebral fractures. METHODS: We identified 100 patients with 1 or more fractures in L1-L4 and 106 patients without fractures. All patients had undergone a DXA scan and a lumbar spine X-ray. In fracture patients, we recorded T-score difference between the fractured vertebra and the adjacent vertebra, and whether the fractured vertebra was smaller than the one above (nonprogression). In nonfracture patients, the greatest positive T-score difference was recorded, and nonprogression was present if vertebral area did not increase successively from L1 to L4. RESULTS: With a T-score difference ≥1 SD odds ratio for fracture was 1.30 (0.74-2.29). Sensitivity and specificity were 0.40 and 0.66, respectively. With T-score difference ≥1.5 SD, odds ratio for fracture was 2.26 (1.08-4.73). Sensitivity and specificity were 0.24 and 0.88, respectively. Nonprogression was very common in the no-fracture group (38%), while only 23% of X-ray verified fractures had nonprogression. CONCLUSION: A randomly found T-score difference ≥1.5 SD between adjacent vertebrae on a DXA scan is associated with a small increased risk of compression fracture. Nonprogression is very common in patients without fractures.

Socioeconomic status and risk of osteoporotic fractures and the use of DXA scans: data from the Danish population-based ROSE study.

There is a need of studies exploring the link between socioeconomic status and DXA scans and osteoporotic fracture, which was the aim of the present study. No differences in socioeconomic status and risk of osteoporotic fractures were found. However, women with further/higher education and higher income are more often DXA-scanned. INTRODUCTION: Lower socioeconomic status is known to be associated with a range of chronic conditions and with access to health care services. The link between socioeconomic status and the use of DXA scans and osteoporotic fracture, however, needs to be explored more closely. Therefore, the aim of this study was to examine the relationship between socioeconomic status and both DXA scan utilization and major osteoporotic fractures (MOF) using a population-based cohort of Danish women and national registers. METHODS: The study included 17,155 women (65-81 years) sampled from the Risk-stratified Osteoporosis Strategy Evaluation study (ROSE). Information on socioeconomic background, DXA scans, and MOFs was retrieved from national registers. Competing-risk regression analyses were performed. Mean follow-up was 4.8 years. RESULTS: A total of 4245 women had a DXA scan (24.7%) and 1719 (10.0%) had an incident MOF during follow-up. Analyses showed that women with basic education had a lower probability of undergoing DXA scans than women with further or higher education (greater than upper secondary education and vocational training education) (subhazard ratio (SHR) = 0.82; 95% CI 0.75-0.89, adjusted for age and comorbidity). Moreover, women with disposable income in the low and medium tertiles had a lower probability of undergoing DXA scans than women in the high-income tertile (SHR = 0.90; 95% CI 0.84-0.97 and SHR = 0.88, 95% CI 0.82-0.95, respectively, adjusted for age and comorbidity). No association between socioeconomic background and probability of DXA was found in adjusted analyses. CONCLUSION: The study found no differences in risk of osteoporotic fractures depending on socioeconomic status. However, women with further or higher education as well as higher income are more often DXA-scanned.

Body composition in patients with congenital myotonic dystrophy.

INTRODUCTION: Congenital myotonic dystrophy (CDM) is a rare neuromuscular disorder characterized by severe hypotonia and muscle weakness at birth that tends to improve with age. Understanding lean body and bone mass in this population has important research and clinical implications. The main objective of this study was to determine whether older children with CDM had muscle mass similar to healthy controls. METHODS: Thirty-five patients with CDM (3-13 years old) were enrolled. We analyzed lean body mass (LBM) and bone mineral content using the mechanostat framework, which allows calculation of z-scores for sex, age, and height. RESULTS: All patients had low LBM z-scores (muscle mass); however, higher LBM z-score was positively correlated with age (r = 0.45, P = 0.006), showing that it is closer to normal in older patients. DISCUSSION: Unlike other neuromuscular diseases, older children with CDM have a muscle mass closer to age-matched controls, consistent with the clinical profile of increasing strength in childhood. Muscle Nerve 60: 176-179, 2019.

Are semi-automated software program designed for adults accurate for the identification of vertebral fractures in children?

OBJECTIVES: To assess whether diagnostic accuracy of morphometric vertebral fracture (VF) diagnosis in children can be improved using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) compared with SpineAnalyzer™ (a 6-point program), which has previously been shown to be of insufficient accuracy. MATERIALS AND METHODS: Lateral spine radiographs (XR) and dual-energy X-ray absorptiometry (DXA) scans of 50 children and young people were analysed by two observers using two different programs (AVERT™ and SpineAnalyzer™). Diagnostic accuracy (sensitivity, specificity, false-negative (FN) and false-positive rates (FP)) was calculated by comparing with a previously established consensus arrived at by three experienced paediatric musculoskeletal radiologists, using a simplified algorithm-based qualitative scoring system. Observer agreement was calculated using Cohen's kappa. RESULTS: For XR, overall sensitivity, specificity, FP and FN rates using AVERT™ were 36%, 95%, 5% and 64% respectively and 26%, 98%, 2% and 75% respectively, using SpineAnalyzer™. For DXA, overall sensitivity, specificity, FP and FN rates using AVERT™ were 41%, 91%, 9% and 59% respectively and 31%, 96%, 4% and 69% respectively, using SpineAnalyzer. Reliability (kappa) ranged from 0.34 to 0.37 (95%CI, 0.26-0.46) for AVERT™ and from 0.26 to 0.31 (95%CI, 0.16-0.44) for SpineAnalyzer™. Inter- and intra-observer agreement ranged from 0.41 to 0.47 for AVERT™ and from 0.50 to 0.79 for SpineAnalyzer™. CONCLUSION: AVERT™ has slightly higher accuracy but lower observer reliability for the representation of vertebral morphometry in children when compared with SpineAnalyzer™. However, neither software program is satisfactorily reliable for VF diagnosis in children. KEY POINTS: • SpineAnalyzer™ and AVERT™ have low diagnostic accuracy and observer agreement when compared to three paediatric radiologists' readings for the diagnosis of vertebral fractures (VF) in children. • Neither AVERT™ nor SpineAnalyzer™ is satisfactorily reliable for VF diagnosis in children. • Development of specific paediatric software and normative values (incorporating age-related physiological variation in children) is required.

Comparison of Indian Council for Medical Research and Lunar Databases for Categorization of Male Bone Mineral Density.

The mainstay of diagnosis of osteoporosis is dual-energy X-ray absorptiometry (DXA) scan measuring areal bone mineral density (BMD) (g/cm2). The aim of the present study was to compare the Indian Council of Medical Research database (ICMRD) and the Lunar ethnic reference database of DXA scans in the diagnosis of osteoporosis in male patients. In this retrospective study, all male patients who underwent a DXA scan were included. The areal BMD (g/cm2) was measured at either the lumbar spine (L1-L4) or the total hip using the Lunar DXA machine (software version 8.50) manufactured by GE Medical Systems (Shanghai, China). The Indian Council of Medical Research published a reference data for BMD in the Indian population derived from the population-based study conducted in healthy Indian individuals, which was used to analyze the BMD result by Lunar DXA scan. The 2 results were compared for various values using statistical software SPSS for Windows (version 16; SPSS Inc., Chicago, IL). A total 238 male patients with a mean age of 57.2 yr (standard deviation ±15.9) were included. Overall, 26.4% (66/250) and 2.8% (7/250) of the subjects were classified in the osteoporosis group according to the Lunar database and the ICMRD, respectively. Out of the 250 sites of the DXA scan, 28.8% (19/66) and 60.0% (40/66) of the cases classified as osteoporosis by the Lunar database were reclassified as normal and osteopenia by ICMRD, respectively. In conclusion, the Indian Council of Medical Research data underestimated the degree of osteoporosis in male subjects that might result in deferring of treatment. In view of the discrepancy, the decision on the treatment of osteoporosis should be based on the multiple fracture risk factors and less reliably on the BMD T-score.

FRAX Score Can Be Used to Avoid Superfluous DXA Scans in Detecting Osteoporosis in Celiac Disease: Accuracy of the FRAX Score in Celiac Patients.

The Fracture Risk Assessment (FRAX) tool has been developed to estimate patients' 10-yr probability of fracture, thus establishing which patients should undergo dual-energy X-ray Absorptiometry (DXA) scan. This study aimed to evaluate if the FRAX tool can replace or optimize the use of DXA scan in celiac disease (CD). We prospectively enrolled all CD patients aged over 40 yr diagnosed at our third-level unit. At time of CD diagnosis, all patients underwent FRAX score calculation for risk of major osteoporotic and hip fractures and DXA scan (used as gold standard) to assess the accuracy of the FRAX score. The FRAX score calculation was based on the following 10 variables: age (>40 yr), sex (M/F), body mass index, history of previous fracture (yes/no), parent fractured hip (yes/no), current smoking (yes/no), use of steroids (yes/no), rheumatoid arthritis (yes/no), secondary osteoporosis (yes/no), and alcohol ≥3 units/d (yes/no). DXA assessment was performed within 1 week from FRAX calculation. The FRAX score was dichotomized as normal or pathologic in accordance with the National Osteoporosis Guideline Group. A total of 160 CD patients were enrolled (M/F = 20/140; mean age 48.7 yr). A pathologic FRAX score was evident in 14 out of 160 patients (8.7%), whereas osteoporosis based on DXA scan was found in 10 patients (6%) (κ = 0.6); 3 patients with osteoporosis (1.9%) showed a 10-yr risk of major fracture >10% according to the National Osteoporosis Guideline Group criteria. With regard to diagnostic accuracy, the FRAX score showed sensitivity of 0%, specificity of 91%, positive predictive value of 0%, and negative predictive value of 94%. The prevalence of osteoporosis in adult CD appears to be quite low and only a small proportion of patients would require a DXA investigation. The FRAX score could be an effective tool to avoid useless DXA scans in CD patients in view of its high negative predictive value.

Effect of large weight reductions on measured and estimated kidney function.

BACKGROUND: When patients experience large weight loss, muscle mass may be affected followed by changes in plasma creatinine (pCr). The MDRD and CKD-EPI equations for estimated GFR (eGFR) include pCr. We hypothesised that a large weight loss reduces muscle mass and pCr causing increase in eGFR (creatinine-based equations), whereas measured GFR (mGFR) and cystatin C-based eGFR would be unaffected if adjusted for body surface area. METHODS: Prospective, intervention study including 19 patients. All attended a baseline visit before gastric bypass surgery followed by a visit six months post-surgery. mGFR was assessed during four hours plasma 51Cr-EDTA clearance. GFR was estimated by four equations (MDRD, CKD-EPI-pCr, CKD-EPI-cysC and CKD-EPI-pCr-cysC). DXA-scans were performed at baseline and six months post-surgery to measure changes in lean limb mass, as a surrogate for muscle mass. RESULTS: Patients were (mean ± SD) 40.0 ± 9.3 years, 14 (74%) were female and 5 (26%) had type 2 diabetes, baseline weight was 128 ± 19 kg, body mass index 41 ± 6 kg/m2 and absolute mGFR 122 ± 24 ml/min. Six months post-surgery weight loss was 27 (95% CI: 23; 30) kg, mGFR decreased by 9 (-17; -2) from 122 ± 24 to 113 ± 21 ml/min (p = 0.024), but corrected for current body surface area (BSA) mGFR was unchanged by 2 (-5; 9) ml/min/1.73 m2 (p = 0.52). CKD-EPI-pCr increased by 12 (6; 17) and MDRD by 13 (8; 18) (p < 0.001 for both), while CKD-EPI-cysC was unchanged by 2 (-8; 4) ml/min/1.73 m2 (p = 0.51). Lean limb mass was reduced by 3.5 (-4.4;-2.6; p < 0.001) kg and change in lean limb mass correlated with change in plasma creatinine (R 2 = 0.28, p = 0.032). CONCLUSIONS: Major weight reductions are associated with a reduction in absolute mGFR, which may reflect resolution of glomerular hyperfiltration, while mGFR adjusted for body surface area was unchanged. Estimates of GFR based on creatinine overestimate renal function likely due to changes in muscle mass, whereas cystatin C based estimates are unaffected. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02138565 . Date of registration: March 24, 2014.

[Compliance of osteoporosis patients with additional specific osteoporosis-training course]. / Compliance der medikamentösen Behandlung der Osteoporosepatienten nach Patientenschulung.

BACKGROUND: In the present study patients with an osteoporotic fracture were examined in order to determine how many patients decided to continue their therapy as outpatients having taken part in osteoporosis training at the Dr. Becker Rhein-Sieg Clinic. PATIENTS AND METHODS: Patients who had previously suffered an osteoporotic fracture and thereafter received inpatient rehabilitation were selected for the study. Patients (n = 95) who had taken part in inpatient rehabilitation after an osteoporotic fracture were approached either via telephone or mail and were then followed up after 6 and 12 months with regard to their adherence to the treatment. RESULTS: From a total of 95 patients, after 6 months 82 % (n = 78) were contacted successfully and included in the study. 68 out of 78 patients (72 %) had continued their medication. After 1 year 76 % of patients (n = 72) were successfully contacted once. Here, 62 % of patients (n = 59) had continued their medication under medical supervision. In the 1­year follow-up period there were eight cases of falls, and one of these resulted in a peripheral fracture, which was treated conservatively. CONCLUSION: Osteoporosis-specific information and osteoporosis training of patients after osteoporotic fracture are important tools to improve the motivation and compliance of patients. One possibility to realize this is osteoporosis-specific training with video presentations and individual care and education of the patients within outpatient or inpatient rehabilitation.

Association of bone mineral density and diabetic retinopathy in diabetic subjects: the 2008-2011 Korea National Health and Nutrition Examination Survey.

UNLABELLED: Because diabetic retinopathy increases fracture risk, we studied the association between bone mineral density (BMD) and diabetic retinopathy in a nationally representative sample. A significant association between the presence of diabetic retinopathy and low BMD was observed. Therefore, diabetic retinopathy might be considered as a marker of low BMD. INTRODUCTION: Several diabetic complications, including nephropathy, retinopathy, and peripheral neuropathy, are associated with a higher fracture risk in diabetic subjects. However, in contrast to diabetic nephropathy and peripheral neuropathy, which are associated with low bone mineral density (BMD), little is known about the association between BMD and diabetic retinopathy. The aim of the present study was to determine whether the prevalence of diabetic retinopathy is associated with BMD. METHODS: This cross-sectional study included a nationally representative sample consisting of 4357 men aged 50 years and older and 4392 postmenopausal women who participated in the Korea National Health and Nutritional Examination Survey (KNHANES) from 2008 to 2011 and underwent BMD measurement by dual-energy X-ray absorptiometry (DXA) and diabetic retinopathy assessments using seven standard gradable photographs. RESULTS: The diabetic women with retinopathy had lower mean BMD at all measured sites than those without retinopathy, although the BMD difference between the two groups was small (3-5 %). In addition, the diabetic women with retinopathy were 2.27 times more likely to have osteoporosis following adjustments for all clinically relevant covariates. However, the prevalence of diabetes mellitus (DM) or diabetic retinopathy was not associated with the prevalence of osteoporosis in men. CONCLUSIONS: This study has shown that the presence of diabetic retinopathy is significantly associated with a reduced BMD and increased prevalence of osteoporosis in diabetic women.