Osteoporosis Screening In Patients Research Articles

A comprehensive approach for osteoporosis detection through chest CT analysis and bone turnover markers: harnessing radiomics and deep learning techniques.

The main objective of this study is to assess the possibility of using radiomics, deep learning, and transfer learning methods for the analysis of chest CT scans. An additional aim is to combine these techniques with bone turnover markers to identify and screen for osteoporosis in patients. A total of 488 patients who had undergone chest CT and bone turnover marker testing, and had known bone mineral density, were included in this study. ITK-SNAP software was used to delineate regions of interest, while radiomics features were extracted using Python. Multiple 2D and 3D deep learning models were trained to identify these regions of interest. The effectiveness of these techniques in screening for osteoporosis in patients was compared. Clinical models based on gender, age, and β-cross achieved an accuracy of 0.698 and an AUC of 0.665. Radiomics models, which utilized 14 selected radiomics features, achieved a maximum accuracy of 0.750 and an AUC of 0.739. The test group yielded promising results: the 2D Deep Learning model achieved an accuracy of 0.812 and an AUC of 0.855, while the 3D Deep Learning model performed even better with an accuracy of 0.854 and an AUC of 0.906. Similarly, the 2D Transfer Learning model achieved an accuracy of 0.854 and an AUC of 0.880, whereas the 3D Transfer Learning model exhibited an accuracy of 0.740 and an AUC of 0.737. Overall, the application of 3D deep learning and 2D transfer learning techniques on chest CT scans showed excellent screening performance in the context of osteoporosis. Bone turnover markers may not be necessary for osteoporosis screening, as 3D deep learning and 2D transfer learning techniques utilizing chest CT scans proved to be equally effective alternatives.

Opportunistic prediction of osteoporosis in patients with degenerative lumbar diseases: a simplified T12 vertebral bone quality approach

BackgroundOsteoporosis is one of the risk factors for screw loosening after lumbar fusion. However, the probability of preoperative osteoporosis screening in patients with lumbar degenerative disease is low. Therefore, the aim of this study was to investigate whether a simplified vertebral bone quality (VBQ) score based on T12 T1-MRI could opportunistically predict osteoporosis in patients with degenerative lumbar spine diseases.MethodsWe retrospectively analyzed cases treated for lumbar degenerative diseases at a single institution between August 2021 and June 2022. The patients were divided into three groups by the lowest T-score: osteoporosis group, osteopenia group, and normal bone mineral density (BMD) group. The signal intensity based on the T12 vertebral body divided by the signal intensity of the cerebrospinal fluid was calculated to obtain the simplified VBQ score, as well as the CT-based T12HU value and the traditional L1-4VBQ score. Various statistical analyses were used to compare VBQ, HU and DEXA, and the optimal T12VBQ threshold for predicting osteoporosis was obtained by plotting the receiver operating curve (ROC) analysis.ResultsTotal of 166 patients were included in this study. There was a statistically significant difference in T12VBQ scores between the three groups (p < 0.001). Pearson correlation showed that there was a moderate correlation between T12VBQ and T-score (r=-0.406, p < 0.001). The AUC value of T12VBQ, which distinguishes between normal and low BMD, was 0.756, and the optimal diagnostic threshold was 2.94. The AUC value of T12VBQ, which distinguishes osteoporosis from non-osteoporosis, was 0.634, and the optimal diagnostic threshold was 3.18.ConclusionT12VBQ can be used as an effective opportunistic screening method for osteoporosis in patients with lumbar degenerative diseases. It can be used as a supplement to the evaluation of DEXA and preoperative evaluation.Trial registrationretrospectively registered number:1502-009-644; retrospectively registered number date:27 oct 2022.

Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning

Osteoporosis is a serious health concern in patients with rheumatoid arthritis (RA). Machine learning (ML) models have been increasingly incorporated into various clinical practices, including disease classification, risk prediction, and treatment response. However, only a few studies have focused on predicting osteoporosis using ML in patients with RA. We aimed to develop an ML model to predict osteoporosis using a representative Korean RA cohort database. The KORean Observational study Network for Arthritis (KORONA) database, established by the Clinical Research Center for RA in Korea, was used in this study. Among the 5077 patients registered in KORONA, 2374 patients were included in this study. Four representative ML algorithms were used for the prediction: logistic regression (LR), random forest, XGBoost (XGB), and LightGBM. The accuracy, F1 score, and area under the curve (AUC) of each model were measured. The LR model achieved the highest AUC value at 0.750, while the XGB model achieved the highest accuracy at 0.682. Body mass index, age, menopause, waist and hip circumferences, RA surgery, and monthly income were risk factors of osteoporosis. In conclusion, ML algorithms are a useful option for screening for osteoporosis in patients with RA.

A Panoramic X-ray as a Supportive Diagnostic Tool for the Screening of Osteoporosis in Patients with Hemophilia A and B.

Hemophilia is associated with an increased risk of developing osteoporosis and osteopenia. The aim of the study was to interpret the usefulness of fractal analysis of the trabecular bone of the mandible (FD) and selected radiomorphic indices (the antegonial index (AI) and Klemetti index (KI)) to assess the risk of reduced bone mineral density (BMD) in patients with hemophilia A/B. The study group consisted of 50 patients with type A/B hemophilia. The control group consisted of 25 males without congenital bleeding disorders. The patients had a panoramic radiograph taken with the same X-ray machine (Vistapano S, Durr Dental, Bietigheim-Bissingen, Germany). The AudaXCeph software (Audax d.o.o., Ljubljana, Slovenia) was used to evaluate the AI index, and the ImageJ, software with a specially prepared script, was used to evaluate the FD. The mandibular cortex was assessed distal to the mental foramen using the Klemetti index. There were no statistically significant differences between the AI, KI and FD values between the study group and the control group. This study indicated the lack of usefulness of AI, KI and fractal analysis in identifying patients with hemophilia at risk of reduced bone mass.

Endocrinology for the hepatologist.

Endocrinology for the hepatologist.

MRI-based vertebral bone quality score for the assessment of osteoporosis in patients undergoing surgery for lumbar degenerative diseases

PurposeTo explore the value of vertebral bone quality (VBQ) scores in diagnosing osteoporosis in patients with lumbar degeneration.MethodsA retrospective analysis was conducted of 235 patients treated with lumbar fusion surgery at the age of ≥ 50; they were divided into a degenerative group and a control group according to the severity of degenerative changes on three-dimensional computed tomography. The L1-4 vertebral body and L3 cerebrospinal fluid signal intensities in the T1-weighted lumbar magnetic resonance imaging (MRI) image were recorded, and the VBQ score was calculated. Demographics, clinical data, and dual-energy X-ray absorptiometry (DXA) indicators were recorded, and the VBQ value was compared with bone density and T-score using the Pearson correlation coefficient. The VBQ threshold was obtained according to the control group and compared with the efficacy of osteoporosis diagnosis based on DXA.ResultsA total of 235 patients were included in the study, and the age of the degenerative group was older than that of the control group (61.8 vs. 59.4, P = 0.026). The VBQ score of the control group suggested a higher correlation with the bone mineral density (BMD) value and T-score (r = − 0.611 and − 0.62, respectively). The BMD value and T-score in the degenerative group were higher than those in the control group (P < 0.05). Receiver-operating characteristic curve analysis showed that the VBQ score had a good predictive ability for osteoporosis (AUC = 0.818), with a sensitivity of 93% and a specificity of 65.4%. Among the undiagnosed osteoporosis patients with T-score, the VBQ score after adjusting the threshold was higher in the degenerative group (46.9% vs. 30.8%).ConclusionsEmerging VBQ scores can reduce the interference caused by degenerative changes compared to traditional DXA measures. Screening for osteoporosis in patients undergoing lumbar spine surgery provides new ideas.

The Association of Coronary Artery Calcium Score and Osteoporosis in Postmenopausal Women: A Cross-Sectional Study.

The association between osteoporosis, a common metabolic bone disorder, and atherosclerosis has been reported in different studies. In this study, we aimed to investigate the association between the coronary artery calcium score (CACS) and bone mineral density (BMD) at different sites and bone biomarkers in postmenopausal women. A total of 184 participants were enrolled in this study. The CACS and BMD at different sites, including the spinal, total hip, and femoral neck, were measured using computed tomography angiography and dual energy X-ray absorptiometry, respectively. Serum levels of osteocalcin, β-C-terminal telopeptide (β-CTX), parathyroid hormone, and 25-hydroxy-vitamin D were measured. A negative association between CACS and bone biomarker levels (osteocalcin, P=0.021; β-CTX, P=0.013) was noted. The univariable model showed an association between CACS and osteoporosis of the femoral neck (P=0.03). It was found that with an increase of 10 U in CACS, the odds of osteoporosis at the femoral neck escalates by 2% (odds ratio=1.02, 95% confidence interval, 1.002-1.03) using the multivariate logistic regression model, while such an association with osteoporosis could not be found at the spinal site. The best cutoff point of the calcium score was estimated to be 127. The results suggest that in postmenopausal women, coronary atherosclerosis is independently associated with osteoporosis of the femoral neck, but such an association could not be detected with spinal osteoporosis. The importance of screening for osteoporosis in patients with cardiovascular disease and the implications of preventive measures in the primary care setting were highlighted considering the common risk factors.

ODP090 Fragility Fractures and Osteoporosis Screening in Patients with Chronic Lymphocytic Leukemia

Abstract Chronic lymphocytic leukemia (CLL) and osteoporosis are diseases of older adults with high prevalence rates. CLL infiltrates the bone marrow, increasing bone resorption and demineralization which contribute to the pathophysiology of osteoporosis. Despite this, there are limited clinical data describing the association of CLL with osteoporosis and fracture risk. We hypothesized that osteoporosis and fragility fractures (FF) are common in patients with CLL. The Huntsman Cancer Institute (HCI) has a CLL database which includes all patients diagnosed with CLL since January 1, 2000 and received care at the HCI. Patients included were identified from the CLL database with ICD-9 and 10 codes associated with osteopenia, osteoporosis and/or presence of a FF. Of the 57 patients included, 67% were female (n=38) with a mean age of 69 ± 10 years and 93% Caucasian. 60% (n=34) had RAI stage of 0-1 with genetic changes noted as follows: Del(13q) 46% (n=26), Del(17p) 7% (n=4), Del(11q) 5% (n=3), and Trisomy 12 14% (n=8). IGVH mutation was present in 31.6% of patients (n=18). 47% (n=25) of patients were treated with chemotherapy, of which Rituximab (n=14), Bendamustine (n=7), Cyclophosphamide (n=5), and Ibrutinib (n=5) were the most frequently used. 58.5% (n=32) had a history of FF, with 84% occurring in the spine (n=27/32). Assessment for Vitamin D deficiency and hyperparathyroidism were performed in 54% (n=31) and 21% (n=12) of the cohort respectively. Even though every patient in the study either had a diagnosis of osteoporosis by ICD code or FF, only 44% (n=25) of patients had an available DXA scan for our review, and only 31% (n=18) received treatment for osteoporosis. Of those with a DXA, the worst T score was in the right femoral neck (T score -1.9, IQR -1.5 to -2.5) with 44% (n=14/32) either having T scores in the normal or osteopenic range. Interestingly, FF was associated with higher T scores in the spine (FF spine T score -1. 0±1.5 vs no FF T score -2.2±0.8, p=0. 03). Clinical factors associated with FF were male sex (83% men vs 46% women, p&amp;lt;0. 01) and positive smoking history (93% smokers vs 46% non-smokers, p&amp;lt;0. 01). Use of chemotherapy and hip T scores were not associated with FF. The data from our study suggests that patients with CLL are predisposed to axial fragility fractures despite non-osteoporotic T scores. In addition, osteoporosis screening with DXA is under-utilized in the CLL population, despite meeting age-appropriate screening guidelines. Increased awareness and screening for axial fragility fractures, especially in men and smokers, should be recommended in the long term follow up of patients with CLL. Further study is needed to understand the pathophysiology of osteoporosis and FF in patients with CLL to develop improved methods for prevention of these morbid fractures. Presentation: No date and time listed

829. Incidence of Low BMD and Barriers to Routine Screening for Osteoporosis in HIV Patients in Eastern North Carolina

BackgroundWith HIV therapy, the life expectancy of persons with HIV (PWH) has improved and complications associated with long-standing HIV and antiretroviral drugs have become more apparent. Low bone mineral density (BMD) (defined by T score < -1) and osteoporosis (defined by T-score < -2.5) are common in PWH. In a meta-analysis of 884 HIV-infected patients, 67% had reduced BMD, of whom 15% had osteoporosis which is 3 times greater than HIV uninfected controls. IDSA guidelines recommend routine screening for osteoporosis in PWH aged ≥ 50 years, yet the rate of screening for osteoporosis in these patients remains low (7.4%-17%). This QI project aimed to estimate the frequency of and identify the barriers to screening for osteoporosis in eligible HIV patients.MethodsThis prospective observational study was conducted in the HIV clinic at East Carolina University from 2018-2019. A sample of 104 HIV patients, ≥ 50 years were selected randomly. Data regarding referral for DXA (dual X-ray absorptiometry) scan, its results, and their insurance provider was collected. The plan was to analyze the barriers associated with guideline-recommended BMD screening and implement it in eligible patients.ResultsFrom a total of 104, 89 patients (85.6%) were referred for a DXA scan. The reasons for lack of referral were obesity, insurance barrier, wheelchair-bound, and test ordered by another provider. Of the 89 patients referred for DXA, only 49 (47% of total) underwent the scan. In terms of barriers, insurance limitation was the most common reason. Out of the patients that had DXA scans, 19 (39%) were found to have low bone density and 1 had osteoporosis. Low BMD was more common in men (63%) as compared to women (37%) in this group.Percentage of patients who underwent a DXA scan and the barriers in those who didn’t Frequency of BMD screeningIncidence of Low BMD BMD resultsConclusionIn our study, 47% of patients had a BMD assessment. This is better than what has been reported in other single-center studies, however, it is not ideal. About 34% of the patients had insurance coverage as the major barrier for routine screening, as has been mentioned in other similar studies. Of the patients who underwent the DXA scan, 41 % had a low BMD. Other studies have reported variable prevalence of abnormal BMD, from 47-93%. Interestingly, the prevalence of low BMD in our cohort was close to the national average in non-HIV patients.Disclosures All Authors: No reported disclosures

Prediction of risk of osteoporosis after gastrectomy for gastric cancer.

IntroductionThere are few guidelines for screening of osteoporosis in patients who have undergone gastrectomy. This study aimed to develop and validate a nomogram to predict the risk of osteoporosis after gastrectomy in patients with gastric cancer.MethodsBone densitometry results for 522 patients with gastric cancer and 2088 individuals from a health-promotion centre were compared using propensity score matching to develop a nomogram to predict osteoporosis after gastrectomy. External validation was performed using an independent data set.ResultsIn the 10 years after gastrectomy 53.5 per cent of patients developed osteoporosis. In multivariable analysis, the odds ratios of subtotal gastrectomy and total gastrectomy were 5.46 and 8.69 (P < 0.001 for both). Seven risk factors (type of gastrectomy, age, sex, BMI, and serum levels of albumin, creatinine and phosphorus) were incorporated into the nomogram. The prediction accuracy of the nomogram in the development set was 0.830 (area under the curve (AUC)); (95 per cent c.i. 0.812 to 0.848). In the validation set, the AUC was 0.807 (95 per cent c.i. 0.741 to 0.873).ConclusionGastrectomy was a risk factor for osteoporosis, and its incidence in the first 10 years after surgery was high. This nomogram can help clinicians to identify patients with gastric cancer most at risk of developing osteoporosis after surgery.

Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis

BackgroundOsteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies have highlighted the use of simple vertebral trabecular attenuation values for opportunistic osteoporosis screening. Meanwhile, machine learning has been used to accurately segment large parts of the human skeleton. PurposeTo evaluate a fully automated deep learning-based method for lumbar vertebral segmentation and measurement of vertebral volumetric trabecular attenuation values. Material and methodsA deep learning-based method for automated segmentation of bones was retrospectively applied to non-contrast CT scans of 1008 patients (mean age 57 years, 472 female, 536 male). Each vertebral segmentation was automatically reduced by 7 mm in all directions in order to avoid cortical bone. The mean and median volumetric attenuation values from Th12 to L4 were obtained and plotted against patient age and sex. L1 values were further analyzed to facilitate comparison with previous studies. ResultsThe mean L1 attenuation values decreased linearly with age by −2.2 HU per year (age > 30, 95% CI: −2.4, −2.0, R2 = 0.3544). The mean L1 attenuation value of the entire population cohort was 140 HU ± 54. ConclusionsWith results closely matching those of previous studies, we believe that our fully automated deep learning-based method can be used to obtain lumbar volumetric trabecular attenuation values which can be used for opportunistic screening of osteoporosis in patients undergoing CT scans for other reasons.

Dual-Energy X-Ray Absorptiometry (DEXA) Scan Versus Computed Tomography for Bone Density Assessment.

Rationale and objectiveOsteoporosis, a common non-pathological disease of bones, has been the cause of many disastrous consequences, in terms of physical, psychological, social, and economic loss. Therefore, it is crucial to diagnose it early for timely prevention and treatment of osteoporotic fractures. Dual-Energy X-Ray Absorptiometry (DEXA) is currently routinely used for determining bone mineral density. However, it has its limitations. Nowadays, CT technology has advanced so rapidly that the Hounsfield units (HU) values can be used in opportunistic screening for osteoporosis in patients during routine CT abdomen for other causes. Hence, there would be no need for additional study with DEXA and also reduce radiation exposure. The aim of our research is to determine whether there is a correlation between the bone mineral density and the T-score measured by DEXA and the HU values measured from the diagnostic CT images of L1-4 vertebrae. Also, to determine reference CT values that would help in screening the patients with osteoporosis.Materials and methodsWe conducted a retrospective study of 78 female patients who underwent CT lumbar spine, abdomen, and pelvis in our hospital between the years 2016-2020. We collected data of patients who performed DEXA and CT scans within an interval of up to two years. The final collected data was analyzed to find correlation values of HU with age group and with DEXA bone mineral density (BMD) and T-score using Pearson correlation coefficient.ResultsThe mean of the 78 patients was 61.1 (range 37-88 years). Mean HU values decreased consistently with age, from 202.17 HU in the fifth decade to 71 HU in the ninth decade. Average L1-4 HU values ranged from 71 HU to 202.17 HU (mean with standard deviation), while their T-score ranged from -4.4 to +2.4 (mean was -1.7±1.41), and their BMD ranged from 0.62 to 1.465 g/cm2 (mean, 0.974±0.175 g/cm2). For each lumbar vertebra, the correlations of HU values with bone mineral density and T-score were calculated separately. For L1-4 vertebrae, the correlation coefficients (r2) for the HU value and T-score were 0.544, 0.600, 0.611, and 0.600, respectively. The correlation coefficients (r2) for the HU value and bone mineral density were 0.581, 0.623, 0.653,0.612, respectively. All the calculated correlations were significant (p<0.001). Therefore, it was concluded that there was a positive correlation between the HU values and the DEXA for the BMD and between the HU values and the T-score. Based on the WHO guidelines, the T-scores of the lumbar vertebrae were classified into three groups. The mean HU values for the subjects in the normal group were 174.05 (95% confidence interval, 153-194.49), in the osteopenia group were 120.45 HU (95% confidence interval, 106.98-133.91), and in the osteoporosis group were 115 HU (95% confidence interval, 104.60-125.40). The differences in the mean HU values between the groups were significant.ConclusionOn analyzing the results of our study, we reached the conclusion that there is a positive correlation between the HU calculated from CT with automated exposure control and BMD calculated from the DEXA. Thus CT scans done for various reasons, for example, the abdomen, lumbar spine, etc. can provide us with information about the patient’s bone density as well. CT is a very popular, easily accessible, reproducible, and reliable tool for measuring HU values and thereby in the opportunistic screening of osteoporosis.

Timing of Osteoporotic Vertebral Fractures in Lung and Heart Transplantation: A Longitudinal Study.

Bone loss and bone fractures are common complications after organ transplantation. Many factors contribute to the pathogenesis of transplant osteoporosis, such as bone disease preceding transplantation, immunosuppressive medications, and nutritional and lifestyle factors. This study aimed to assess the incidence of vertebral fractures before and after lung and heart transplantation. This longitudinal study analyzed 213 electronic medical records of patients who underwent lung transplantation (n = 128) and heart transplantation (n = 85) at Siena University Medical Center between January 2000 and December 2018. In lung and heart transplant recipients, the bone mineral density in the femoral sub-regions show a significant decrease at post-transplantation and at follow up visits. In both lung and heart recipients, we found an increase in the fracture incidence in the first period after transplantation (19.5% vs. 50.4% in lung recipients; 9.6% vs. 25.7% in heart recipients). Moreover, in lung recipients, vertebral fractures were predicted primarily by age, BMD at the femur, and any history of fracture. In heart recipients, vertebral fractures were predicted only by history of fracture. Our study supports the recommendations for pre-transplant osteoporosis screening in patients undergoing lung transplants, and in the first period after transplantation in heart transplant recipients.

SUN-380 Opportunistic Screening with Abdominal CT in Patients with Diabetes Can Identify Those at High Risk of Osteoporosis and Osteopenia

Background: Diabetes mellitus (DM) increases the risk of fracture at any given bone mineral density (BMD). However, the optimal strategy for osteoporosis screening with DXA is unknown in those with DM. A previously described strategy in the general population known as “Opportunistic Osteoporosis Screening” uses computer tomography (CT) images done for other reasons to assess the attenuation (density) of L1 in Hounsfield units (HU)—this was found to correlate with DXA-derived T-score. However, neither the methodology nor the cut-points have been specifically validated in those with DM. Thus, the goal of this study was to examine the performance of this methodology and define thresholds corresponding with low BMD in those with DM. Methods: This was retrospective study using electronic medical record data. Patients with DM were identified by ICD code. Those with both abdominal CT and DXA within a 6-month period were included, excluding patients with CKD stage 5, solid organ transplantation, bariatric surgery, or L1 hardware. L1 attenuation, measured by 2 readers on sagittal view, were averaged. A different reader assessed for vertebral fractures. Fractures of the hip, forearm, humerus, and pelvis were identified by ICD code. The lowest T-score of lumbar spine, femoral neck, total hip, or forearm (available in 11 subjects) was used to compare to L1 attenuation. ROC curves were derived from univariate logistic regression. Results: 320 subjects met study criteria; 10 (3.2%) had vertebral fractures, 8 (2.6%) had prior major non-vertebral fracture, and 33 (10.3%) had osteoporosis by BMD.The 18 subjects with major fractures had lower T-scores (-2.3 ± 1.4 vs. -0.8 ± 1.4, p<0.001) and lower L1 attenuation (104 ± 46 vs. 149 ± 47 HU, p<0.001). T-score and L1 attenuation had similar discrimination for prior fracture by area under the ROC curve (0.77 vs. 0.76, p=NS). Moderate osteopenia (T-score -1.5 or less) and L1 attenuation of 130 HU or less had identical sensitivities (72.2% for both) and similar specificities (69.2% vs. 62.5%, respectively) for prior fracture.In regards to L1 attenuation corresponding to DXA diagnosis of osteoporosis, 160 HU was 94% sensitive, while 110 HU was 80% specific. This is similar to the 90% sensitivity for 160 HU and 90% specificity for 110 HU previously reported in the general population. Given higher fracture risk in DM, moderate osteopenia (n=106) was also examined as an outcome: 130 HU was 61% sensitive and 71% specific. This threshold had similar or improved sensitivity and specificity among subgroups of insulin users, men, and women under age 65. Conclusion: Our results validate the use of opportunistic osteoporosis screening in patients with DM, which could help clinicians decide on the need for screening DXA. Patients with diabetes and L1 attenuation below 130 HU on CT scan should be considered for DXA screening to formally assess the risk of fracture.

Intensive screening for osteoporosis in patients with hip fracture.

Patients experiencing a hip fracture are subject to an increased risk of subsequent fractures. This suggests an urgent need to develop strategies that will allow a higher number of patients with fragility hip fractures to be investigated and treated for osteoporosis. In accordance, we developed a secondary osteoporosis prevention program and evaluated the results of the program. In the study period, 1071 patients with a hip fracture were admitted to Hvidovre University Hospital. Eligible patients were offered an osteoporosis investigation program, which included a DXA-scan with vertebral fracture assessment and a medical consultation. The data retrieved from this program were registered and analyzed. The primary goal of the study was to describe the number of subjects, who completed the program, and to characterize the initiated osteoporosis treatment. Secondary outcomes evaluated were prevalence of DXA-verified osteoporosis, changes in T-score due to treatment, and 1-year mortality rate. In total, 557 patients were offered participation of which 333 patients completed the full program. Among these, 159 patients had DXA-verified osteoporosis and 192 patients were started treatment. This resulted in a significant higher T-score at the lumbar spine and femoral neck compared with subjects not treated. Additionally, we report a 1-year mortality rate of 27.7% among all patients with hip fracture. We report that an intensive outreach osteoporosis investigation program can help increase the number of hip fracture patients being tested and treated for osteoporosis. Further, the initiation of treatment can significantly increase the T-score.

Measurement of Forearm Bone Density by Dual Energy X-Ray Absorptiometry Increases the Prevalence of Osteoporosis in Men With Celiac Disease

Guidelines advise measurement of bone mineral density (BMD) in patients with a diagnosis of celiac disease. The lumbar spine (LS) and hip sites are usually measured. Although skeletal sites rich in trabecular bone are believed to be vulnerable to osteoporosis in patients with celiac disease, most studies have not measured the cortical distal 1/3-radius. We collected data from 721 patients (mean age, 43.6 years; 68.4% female) with celiac disease who underwent 3-site dual energy x-ray absorptiometry (DXA, at a median 1.22 years after diagnosis). We assessed skeletal site- and sex-specific osteoporosis prevalence and the incremental utility of 1/3-radius measurement by DXA. Mean T- and Z-scores were normal in patients, but 43.3% had osteopenia and 19.6% had osteoporosis. Osteoporosis was found in 12.1% of patients at the LS, 5.3% of patients at the total hip, 7.6% of patients at the femoral neck, and 11.5% of patients at the 1/3-radius. A greater degree of villous atrophy at diagnosis was associated with male sex and lower T-scores at the 1/3-radius (P = .03), but not other skeletal sites. Isolated forearm osteoporosis was detected in 4.9% of patients. A higher proportion of patients with isolated forearm osteoporosis were male and had a greater weight and body mass index (all P < .01, compared to patients with osteoporosis only at other sites). Z-scores were lower at the LS and 1/3-radius and osteoporosis was more common in men than women. In men, the 1/3-radius was the most frequent site for osteoporosis. Among patients 50 years or older, isolated forearm osteoporosis was present in 10.7%. Based on DXA analysis of patients with celiac disease, the prevalence of osteoporosis appears to be underestimated-particularly in men when BMD at the 1/3-radius is not measured. Degree of villous atrophy is associated with BMD at the 1/3-radius and nearly 5% of patients have osteoporosis limited to that site. Recommendations for osteoporosis screening in patients with celiac disease should include measurement of the distal 1/3-radius in addition to the hip and LS.

Screening for Underlying Osteoporosis in Fragility Fracture Patients: The Patients Perspective

Background: Early detection and treatment of osteoporosis are essential in preventing fractures and fracture-related morbidity and mortality. Fractures beget fractures and it is relevant and well-documented beneficial to target osteoporosis screening in patients already suffering a fracture. The associated increased number of patients being confronted with a potential diagnosis of osteoporosis makes it worth considering how this affects patients. Objective: The aim of this study was to explore fracture patients’ experiences when confronted with the option of being screened for osteoporosis as the underlying reason of their fracture. Methods: In a phenomenological hermeneutic framework, semi-structured interviews were performed in 15 fragiligty fracture patients being offered screening for osteoporosis. Analysis inspired by Ricoeur consisting of naive reading, structural analysis, and critical analysis and discussion was applied. Results: Fracture patients were condemned to make a choice when confronted with the possibility of the early detection of osteoporosis. Many questions regarding prevention of new fractures and prospects in the case of a positive test result were raised. The major themes were related to the consequences of knowing what might be hidden in the bones, and the responsibility to prevent illness. Conclusion: The confrontation with the potential risk of osteoporosis provokes fear and worry in patients about lived daily life and anxiety about being treated as a sick person, but in return, it motivates patients to adopt a bone-healthy lifestyle. In general, patients prefer to be given knowledge of their bone health status over not knowing, and being able to seek further information on the condition facing them.

Osteoporosis among Patients with Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-analysis of Prevalence, Severity, and Therapeutic Outcomes.

Chronic obstructive pulmonary disease (COPD) can be associated with systemic inflammatory trademarks and can coexist with other chronic debilitating diseases such as osteoporosis, which is considered among the most serious comorbidities of COPD. In this review, we aimed at finding answers for the following questions and tried to encapsulate the available literature: (1) how prevalent is osteoporosis among patients with COPD? (2) What are severity patterns of osteoporosis in case of COPD? (3) What are the therapeutic outcomes for patients with osteoporotic COPD? The total number of patients with COPD from all studies was 3815, majority of which were male (2658) representing 69.67% of patients. The mean ± standard deviation for percentage of forced expiratory volume in 1s (FEV1%) was 55.43 ± 14.62%, body mass index for almost 91.29% of patients was 24.4 ± 4.45 kg/m2, whereas fat-free mass index (FFMI) was 17 ± 0.93 kg/m2 for 17.66%. The percentage of patients with COPD having osteoporosis varied in the analyzed studies from 14% up to 66.6%. The mean prevalence of reported osteopenia from 14 studies (n = 2107) was 39.91%, whereas for osteoporosis, the mean prevalence was 37.62% for all included studies. Osteoporosis was highly prevalent among patients with COPD. It is reasonable to call for osteoporosis screening in patients with COPD who are above 65 years, in advanced stages, with BMI lower than 21 kg/m2 or with FFMI lower than 16 kg/m2 for males and 15 kg/m2 for females. There is a lack of research investigating severity and treatments of osteoporosis in patients with COPD.

Increased risk of osteoporosis in patients with nonalcoholic fatty liver disease: A population-based retrospective cohort study.

The study aims to investigate the association between nonalcoholic fatty liver disease (NAFLD) and osteoporosis.We employed a retrospective cohort study design using the National Health Insurance Research Database in Taiwan. Our study included 2 cohorts: 4318 patients with NAFLD and 17,272 patients without NAFLD for comparison. They were matched by sex and age on the date of enrollment between January 1, 2000 and December 31, 2003. The study population in both groups was observed from the enrollment date until December 31, 2013. The incidence and the risk ratios of subsequent osteoporosis were calculated separately in both cohorts. A Cox proportional hazards model was used to assess the potential confounding variables of NAFLD on the pathogenesis of osteoporosis.The eligible study participants comprised 4318 patients in the NAFLD and 17,272 in control cohorts. The median follow-up duration was 10.7 and 10.83 years in the NAFLD and control groups, respectively. The risk of new-onset osteoporosis was higher in patients with NAFLD than in the comparison cohort. In addition, the difference of the incidence of new-onset osteoporosis remained significant among the 2 cohorts in the follow-up durations of within 1 year and more than 10 years. Patients with NAFLD were 1.35 times more likely to develop subsequent osteoporosis compared with those without NAFLD (95% confidence interval = 1.20–1.53).Our finding indicates that NAFLD might increase the risk of developing new-onset osteoporosis. For earlier detection and intervention, screening for osteoporosis in patients with the NAFLD, especially those with lower income and co-morbid with diabetes mellitus and chronic obstructive pulmonary disease, may be recommended.

Opportunistic CT Screening for Osteoporosis in Patients With Pelvic and Acetabular Trauma: Technique and Potential Clinical Impact.

To present a technique for the use of computed tomography (CT) scans in opportunistic screening for osteoporosis in patients with pelvic and acetabular fractures and to quantify the potential clinical impact in a geriatric trauma population. Retrospective cohort study. Level 1 trauma center. A total of 335 patients older than 60 years of age who presented to a Level 1 trauma center with a diagnosis of pelvic or acetabular fracture and were evaluated with a CT scan between the years 2010 and 2016. A subset of 255 patients were evaluated with a dual-energy x-ray absorptiometry scan within 6 months of the CT scan. Measurement of Hounsfield units (HU) was performed at the midpoint of the femoral neck using a standardized, ovoid section, followed by Livewire measurement. Application of this technique retrospectively to a population of geriatric patients with pelvic or acetabular fractures. (1) HUs were measured in a cross section at the midpoint of the femoral neck and, discriminant function analysis was used to establish thresholds for normal bone mineral density, osteopenia, and osteoporosis. (2) Change in the number of diagnoses of osteoporosis after application of the protocol the geriatric trauma cohort. Patients with osteopenia were identified correctly 67.5% of the time (14.3% were incorrectly grouped as normal, and 18.3% were grouped as having osteopenia). Patients with osteoporosis were identified correctly 88.9% of the time (the remaining 11.1% were assigned to osteopenic). The results of discriminant function analysis were used to establish CT thresholds for osteopenia (345 HUs) and osteoporosis (262 HUs). CT imaging obtained for pelvic and acetabular fractures can identify patients with osteoporosis without additional radiation exposure or cost. The fitted ovoid region of interest is a standard feature in most CT scan platforms and is quite simple to perform. Diagnostic Level II. See Instructions for Authors for a complete description of levels of evidence.