Development and internal validation of the male osteoporosis risk estimation score

A Machine Learning-Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study

Background

Identifying persons with a high risk of developing osteoporosis and preventing the occurrence of the first fracture is a health care priority. Most existing osteoporosis screening tools have high sensitivity but relatively low specificity.

Objective

We aimed to develop an easily accessible and high-performance preclinical risk screening tool for osteoporosis using a machine learning-based method among the Hong Kong Chinese population.

Methods

Participants aged 45 years or older were enrolled from 6 clinics in the 3 major districts of Hong Kong. The potential risk factors for osteoporosis were collected through a validated, self-administered questionnaire and then filtered using a machine learning-based method. Bone mineral density was measured with dual-energy x-ray absorptiometry at the clinics; osteoporosis was defined as a t score of -2.5 or lower. We constructed machine learning models, including gradient boosting machines, support vector machines, and naive Bayes, as well as the commonly used logistic regression models, for the prediction of osteoporosis. The best-performing model was chosen as the final tool, named the Preclinical Osteoporosis Screening Tool (POST). Model performance was evaluated by the area under the receiver operating characteristic curve (AUC) and other metrics.

Results

Among the 800 participants enrolled in this study, the prevalence of osteoporosis was 10.6% (n=85). The machine learning-based Boruta algorithm identified 15 significantly important predictors from the 113 potential risk factors. Seven variables were further selected based on their accessibility and convenience for daily self-assessment and health care practice, including age, gender, education level, decreased body height, BMI, number of teeth lost, and the intake of vitamin D supplements, to construct the POST. The AUC of the POST was 0.86 and the sensitivity, specificity, and accuracy were all 0.83. The positive predictive value, negative predictive value, and F1-score were 0.41, 0.98, and 0.56, respectively.

Conclusions

The machine learning-based POST was conveniently accessible and exhibited accurate discriminative capabilities for the prediction of osteoporosis; it might be useful to guide population-based preclinical screening of osteoporosis and clinical decision-making.

Screening for Osteoporosis Risk Among Community-Dwelling Older Adults: A Scoping Review

BACKGROUND AND PURPOSE

Due to potential health-related consequences of osteoporosis (OP), health care providers who do not order imaging, such as physical therapists, should be aware of OP screening tools that identify individuals who need medical and rehabilitation care. However, current knowledge and guidance on screening tools is limited. Therefore, we explored OP screening tools that are appropriate and feasible for physical therapy practice, and evaluated tools' effectiveness by examining their clinimetric properties.

METHODS

A systematic search of the following databases was performed: PubMed, PEDro, PsycINFO, CINAHL, and Web of Science. Articles were included if the study population was 50 years and older, had a diagnosis of OP, if the screening tool was within the scope of physical therapy practice, and was compared to either a known diagnosis of OP or bone densitometry scan results. Included articles underwent multiple reviews for inclusion and exclusion, with each review round having a different randomly selected pair of reviewers. Data were extracted from included articles for participant demographics, outcome measures, cut-off values, and clinimetric properties. Results were categorized with positive and negative likelihood ratios (+LR/-LR) based on the magnitude of change in the probability of having or not having OP.

RESULTS

+LRs ranged from 0.15 to 20.21, with the Fracture Risk Assessment Tool (FRAX) and Study of Osteoporotic Fractures (SOF) having a large shift in posttest probability. -LRs ranged from 0.03 to 1.00, with the FRAX, Male Osteoporosis Risk Estimation Scores, Osteoporosis Self-Assessment Tool (OST), and Simple Calculated Osteoporosis Risk Estimation having a large shift in posttest probability.

CONCLUSION

Tools with moderate-large shift for both +LR and -LR recommended for use are: (1) OST; (2) FRAX; and (3) SOF. The variability in cut-off scores and clinimetric properties based on gender, age, and race/ethnicities made it impossible to provide one specific recommendation for an OP screening tool. Future research should focus on OP risk prediction among males and racial and ethnic groups.

Osteoporosis Screening and Fracture Risk Assessment Tool: Its Scope and Role in General Clinical Practice

Osteoporosis is a widely prevalent condition among postmenopausal women characterized by low bone mass and skeletal fragility that increases the risk of fractures specifically in the hip, spine, wrist, humerus, and pelvis. It has become a major public health problem around the world. An osteoporotic fracture affects one in every three women and one in every five men aged 50 and above. Hip and spine fractures are linked to a higher death rate and can cause ambulation problems, depression, chronic pain, independence loss, and persistent discomfort. It not only puts a lot of strain on the individual but also causes a significant cost to society. Osteoporosis is a silent disease that goes unrecognized until a patient develops a pathological fracture. Diagnosis of osteoporosis is based on bone mineral density (BMD) estimation by dual-energy x-ray absorptiometry (DXA) as defined by WHO. However, in many resource-constrained and underdeveloped or low-middle income countries, it is not widely available. There are a number of questionnaire-based techniques available to identify such postmenopausal women and older men who may be at risk of having low BMD and osteoporosis. Our aim of the study is to search and compile such simple yet useful and validated screening and assessment tools for osteoporosis that can help to identify people at risk of having low BMD and the potential candidate who can benefit from BMD estimation in a resource-restricted geographical area or low/middle-income countries and benefit from treatment. Though these tools are not diagnostic can have broader applicability in general clinical practice and usefulness in identifying high-risk individuals and may prove cost-effective. Although it has limitations, FRAX is a widely used osteoporotic fracture risk assessment tool around the globe and when used with femoral neck BMD it has greater accuracy.

Development of the Asia Pacific Consortium on Osteoporosis (APCO) Framework: clinical standards of care for the screening, diagnosis, and management of osteoporosis in the Asia-Pacific region

Guidelines for doctors managing osteoporosis in the Asia-Pacific region vary widely. We compared 18 guidelines for similarities and differences in five key areas. We then used a structured consensus process to develop clinical standards of care for the diagnosis and management of osteoporosis and for improving the quality of care.

PURPOSE

Minimum clinical standards for assessment and management of osteoporosis are needed in the Asia-Pacific (AP) region to inform clinical practice guidelines (CPGs) and to improve osteoporosis care. We present the framework of these clinical standards and describe its development.

METHODS

We conducted a structured comparative analysis of existing CPGs in the AP region using a "5IQ" model (identification, investigation, information, intervention, integration, and quality). One-hundred data elements were extracted from each guideline. We then employed a four-round Delphi consensus process to structure the framework, identify key components of guidance, and develop clinical care standards.

RESULTS

Eighteen guidelines were included. The 5IQ analysis demonstrated marked heterogeneity, notably in guidance on risk factors, the use of biochemical markers, self-care information for patients, indications for osteoporosis treatment, use of fracture risk assessment tools, and protocols for monitoring treatment. There was minimal guidance on long-term management plans or on strategies and systems for clinical quality improvement. Twenty-nine APCO members participated in the Delphi process, resulting in consensus on 16 clinical standards, with levels of attainment defined for those on identification and investigation of fragility fractures, vertebral fracture assessment, and inclusion of quality metrics in guidelines.

CONCLUSION

The 5IQ analysis confirmed previous anecdotal observations of marked heterogeneity of osteoporosis clinical guidelines in the AP region. The Framework provides practical, clear, and feasible recommendations for osteoporosis care and can be adapted for use in other such vastly diverse regions. Implementation of the standards is expected to significantly lessen the global burden of osteoporosis.

Association of COPD with osteoporosis in male smokers: A case control study in a tertiary medical college hospital in Bangladesh

OBJECTIVES

Chronic obstructive pulmonary disease (COPD) may increase the risk of osteoporosis and resulting fractures can contribute to disability and mortality of patients. We intended to evaluate the frequency of osteoporosis in male smokers with and without COPD and study whether any correlation existed between osteoporosis and COPD.

MATERIALS AND METHODS

This case-control study was carried out in the Department of Medicine, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh between July 2013 and June 2015. Seventy four male smokers with COPD and 66 age-matched male smokers without COPD were enrolled. All individuals underwent Bone Mass Densitometry (BMD) by Dual-Energy X-Ray Absorptiometry (DEXA).

RESULTS

COPD and non-COPD groups did not differ regarding age and smoking pack-years. Osteoporosis at femoral neck (48.6% versus 16.7%; p< 0.001) and lumbar spine (68.9% versus 37.9%; p< 0.01) was significantly higher in COPD compared to controls. Osteopenia did not differ significantly. Patients with COPD were 4.5 times more likely to develop osteoporosis than controls after adjusting age, smoking-pack years and BMI (adjusted OR = 4.5; 95% CI = 1.8-11.5).

CONCLUSIONS

Osteoporosis is more frequent in male smokers with COPD compared to smokers without COPD. COPD is a risk factor of osteoporosis independent of age, smoking and BMI.

Urinary N-telopeptide: The New Diagnostic Test for Osteoporosis

Context  Osteoporosis is a silent disease until it is complicated by trivial fall fractures. There is an increasing interest within the orthopaedic community in the noninvasive cost-effective measurement of the bone mineral density.

Aims  The aim of the study is to assess whether urinary N-telopeptide level can be a new diagnostic tool in diagnosing osteoporosis.

Methods and Material  This prospective study was done at Sri Ramachandra Medical Centre (SRMC) hospital from October 2015 to October 2017. The study was conducted among patients who comes to SRMC as inpatient or outpatient with suspected osteoporosis and underwent dual-energy X-ray absorptiometry (DXA) scan and urinary N-telopeptide. The inclusion criteria were women aged 65 or older, women aged less than 65 with risk factors, younger postmenopausal women with one or more risk factors, men aged 70 or older, men less than 70 with risk factors, and any above group patients who comes within 24 hours following trivial fall fractures. The exclusion criteria were pathological fracture, history of any illness affecting bone metabolism. The results from DXA scan were taken as gold standard against urinary N-telopeptide. Then the patients were divided into two groups control and study. The control group contains patients who had normal DXA, while study group contains patients having either osteopenia or osteoporosis. Based on our inclusion and exclusion criteria, 110 persons were included in the study. We had 60 study and 50 controls patients. We had 88 females and 22 males. The results obtained were statistically analyzed.

Statistical Analysis Used  The collected data were analyzed with IBM SPSS statistics software 23.0 version. To describe about the data descriptive statistics frequency analysis, percentage analysis was used for categorical variables and the mean and standard deviation were used for continuous variables. To find the significant difference between the bivariate samples in independent groups, the unpaired sample t -test was used. To find the significance in categorical data, chi-square test was used. In both the earlier statistical tools, the probability value of 0.05 is considered as significant level.

Results  In our study, we had 18.2% osteopenic and 36.4% osteoporotic patients. The mean value of urinary N-telopeptide in control was 49.8 and in case was 182.5. The standard deviation of urinary N-telopeptide value in case was 159.9.

Conclusion  Urinary N-telopeptide can give reproducible results and be able to assist in the evaluation of the quantity as well as the quality and be a good judge of someone's risk of fracture. Hence, urinary N-telopeptide can be used as a diagnostic tool for diagnosing osteoporosis.

Factors associated with osteoporosis in patients with chronic obstructive pulmonary disease-a nationwide retrospective study

The present study aimed to identify the factors associated with osteoporosis in patients with chronic obstructive pulmonary disease in Taiwan. The study found that female sex, old age, and use of a high dose of oral corticosteroids were significantly associated with osteoporosis in these patients.

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is becoming an increasingly serious and prevalent issue worldwide. The treatment of COPD with long-term steroid use may cause osteoporosis and have significant influences on disability and mortality. However, few studies have evaluated the association between steroid use and osteoporosis in patients with COPD. The present study aimed to identify the factors, including demographic characteristics and steroid use (oral corticosteroids [OCSs], inhaled corticosteroids, and injected steroids), associated with osteoporosis in patients with COPD in Taiwan.

METHODS

This was a retrospective case-control study. Data were obtained from the National Health Insurance Research Database from 1997 to 2009. Cox proportional hazard regression models were used to identify the factors associated with osteoporosis.

RESULTS

The incidence of osteoporosis in the patients with COPD was 1343.0 per 100,000 person-years, the majority of patients were women (63.6 %), and the mean age of the patients was 72.5 years. In multivariate regression analysis, female sex, old age, and use of a high OCS dose with a defined daily dose (DDD) >56 (hazard ratio 1.85, 95 % confidence interval 1.52-2.26, P < .0001) exhibited significant independent associations with osteoporosis.

CONCLUSIONS

Female sex, old age, and use of a high OCS dose with a cumulative DDD >56 are associated with osteoporosis in patients with COPD. Additionally, female patients >50 years old and male patients >70 years old have a higher risk of osteoporosis. Medical personnel should actively provide health education for the prevention of osteoporosis in these patients.

Osteoporosis and Prevalent Fractures among Adult Filipino Men Screened for Bone Mineral Density in a Tertiary Hospital

BACKGROUND

Osteoporosis in men is markedly underdiagnosed and undertreated despite higher morbidity and mortality associated with fractures. This study aimed to characterize adult Filipino men with osteopenia, osteoporosis and prevalent fractures.

METHODS

A cross-sectional study of 184 Filipino men ≥50 years screened for bone mineral density was performed. Age, weight, body mass index (BMI), Osteoporosis Self-Assessment Tool for Asians (OSTA) score, smoking status, family history of fracture, diabetes mellitus, physical inactivity, and T-score were considered.

RESULTS

Of the 184 patients, 40.2% and 29.9% have osteopenia and osteoporosis. Sixteen (21.6%) and 18 (32.1%) osteopenic and osteoporotic men have fragility hip, spine, or forearm fractures. Men aged 50 to 69 years have the same risk of osteoporosis and fractures as those ≥70 years. While hip fractures are higher in osteoporotic men, vertebral fractures are increased in both osteopenic and osteoporotic men. Mere osteopenia predicts the presence of prevalent fractures. A high risk OSTA score can predict fracture. A BMI <21 kg/m² (P<0.05) and current smoking are associated with osteoporosis.

CONCLUSION

A significant fraction of Filipino men with osteopenia and osteoporosis have prevalent fractures. Our data suggest that fractures occur in men <70 years even before osteoporosis sets in. Low BMI, high OSTA score, and smoking are significant risk factors of osteoporosis.

Relationship between pulmonary function and bone mineral density in the Korean National Health and Nutrition Examination Survey

BACKGROUND/AIMS

Osteoporosis is common in chronic obstructive pulmonary disease (COPD) patients. The relationship between osteoporosis and COPD has been primarily reported in patients with moderate to severe COPD, but there is no report in the general population. The aim of this study is to investigate the relationship between bone mineral density (BMD) and lung function in the general Korean population.

METHODS

This study was based on data acquired from the Fourth and Fifth Korea National Health and Nutrition Examination Surveys (KNHANES IV and V), conducted from 2008 to 2010. The study population included 4,501 subjects (aged ≥ 50 years) who underwent both spirometry and BMD. The study populations were divided into two groups by sex to correct for the effects of gender on BMD. All female participants were postmenopausal women.

RESULTS

The BMD values of the femur neck, total femur, and L-spine tended to decrease with degree of airflow limitation in both genders. To correct confounding factors, data were analyzed and adjusted for age, body mass index, fat free mass index, body fat percentage, smoking amount, parathyroid hormone levels, daily calcium and phosphorus intake, and alkaline phosphatase (ALP) levels. While the BMD of the femur neck, total femur, and L-spine was reduced significantly as age and ALP increased, the correlation between airway obstruction and BMD of all regions disappeared in both genders.

CONCLUSIONS

In the general population aged 50 years and older, diminution of BMD is not associated with airway obstruction. Further investigation along other factors is needed to determine the possible role of pulmonary function and BMD.

Comparison of the Male Osteoporosis Risk Estimation Score (MORES) With FRAX in Identifying Men at Risk for Osteoporosis

PURPOSE

We wanted to compare the male osteoporosis risk estimation score (MORES) with the fracture risk assessment tool (FRAX) in screening men for osteoporosis.

METHODS

This study reports analysis of data from the Third National Health and Nutrition Examination Survey (NHANES III), a nationally representative sample of the US population, comparing the operating characteristics of FRAX and MORES to identify men at risk for osteoporosis using a subset of 1,498 men, aged 50 years and older, with a valid dual-energy x-ray absorptiometry (DXA) scan. DXA-derived bone mineral density using a T score of -2.5 or lower at either the femoral neck or total hip defined the diagnosis of osteoporosis. Outcomes included the operating characteristics, area under the receiver-operator characteristic curve, and agreement of the FRAX and MORES.

RESULTS

Sixty-seven (4.5%) of the 1,498 men had osteoporosis of the hip. The sensitivity, specificity, and area under the curve (AUC) for the MORES were 0.96 (95% CI, 0.87-0.99), 0.61 (95% CI, 0.58-0.63), and 0.87 (95% CI, 0.84-0.91), respectively. The sensitivity, specificity, and AUC for the FRAX were 0.39 (95% CI, 0.27-0.51), 0.89 (95% CI, 0.88-0.91), and 0.79 (95% CI, 0.75-0.84) respectively. Agreement was poor.

CONCLUSIONS

Compared with the MORES, the FRAX underperformed as a screening strategy for osteoporosis using the threshold score suggested by the US Preventive Services Task Force (USPSTF). An integrated approach that uses the MORES to determine which men should have a DXA scan and the FRAX to guide treatment decisions, based on the risk of a future fracture, identified 82% of men who were candidates for treatments based on National Osteoporosis Foundation guidelines.

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.

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.

The male osteoporosis risk estimation score and the osteoporosis self-assessment screening tool for Indonesian men

PURPOSE

To evaluate the male osteoporosis risk estimation score (MORES) and the osteoporosis self-assessment screening tool (OST) score as a means of screening for osteoporosis in men.

METHODS

Records of 113 Indonesian men aged 50 to 91 (mean, 71) years who underwent evaluation of bone mineral density (T-score) using Dual-energy X-ray absorptiometry were retrospectively reviewed. The MORES was determined by 3 osteoporosis risk factors: age (in years), body weight (in kg), and chronic obstructive pulmonary disorder. A MORES of ≥6 indicated osteoporosis and corresponded to a T-score of ≤-2.5. The OST score was calculated as body weight (in kg) minus age (in years) multiplied by 0.2. An OST score of ≤2 indicated osteoporosis and corresponded to a T-score of ≤-2.5. Sensitivity, specificity, and positive and negative predictive values of the MORES and the OST score were determined.

RESULTS

Respectively for the MORES and the OST score, sensitivity values were 100% and 74%, specificity values were 7% and 41%, positive predictive values were 25% and 28%, and negative predictive values were 100% and 83%. Using receiver operating characteristic curves, the area under curve was 0.535 for the MORES and 0.574 for the OST score.

CONCLUSION

The MORES and the OST score should be used together to screen for osteoporosis in men.

Association of bone mineral density with airway obstruction and emphysema

BACKGROUND

Airway obstruction and the extent of emphysema are reported to be responsible for reduced bone mineral density (BMD). Corresponding to different phenotypes of a pulmonary disease, different severity in extra pulmonary features may exist. We compared BMDs of subjects with or without airway obstruction and/or emphysema and investigated the relationships among BMD, the severity of airway obstruction, and the extent of emphysema.

METHODS

Using a university hospital database, we reviewed patients over 40 years old who performed spirometry, computed tomography of chest, and measurement of BMD of the lumbar (L) spine. According to the presence or absence of airway obstruction and/or emphysema, four groups were classified.

RESULTS

Among a total of 59 subjects, 33 (56%) had osteoporosis. The prevalence of osteoporosis in subjects with no airway obstruction and no emphysema, those with only emphysema, those with only airway obstruction, and those with both airway obstruction and emphysema were 42%, 57%, 64%, and 73%, respectively (p=0.047 by linear-by-linear association). The mean T-scores of BMD of L1 (p=0.032) and L1-4 spines were different among the four groups (p=0.034). Although the T-score of L1 BMD negatively correlated with the extent of emphysema (r=-0.275, p=0.035) and positively with each of body mass index (BMI) (r=0.520, p<0.001), forced expiratory volume in one second (FEV(1)) (r=0.330, p=0.011), FEV(1)/forced vital capacity (r=0.409, p=0.001), and forced expiratory flow at 25~75% of FVC (FEF(25-75%)) (r=0.438, p=0.0001), respectively, multiple linear regression analysis indicated that BMI (p<0.001) and FEF(25-75%) were predictive of BMD (p=0.012).

CONCLUSION

Low BMI and airway obstruction were strongly associated with reduced bone density rather than the extent of emphysema.

Age, race, weight, and gender impact normative values of bone mineral density

BACKGROUND

Osteoporosis and fractures represent a major public health issue. Accurate normative reference bone mineral density (BMD) values are vital for diagnosing osteoporosis. The generalizability of the T-score method across gender, race, and age in clinic decision-making has been debated. Our aim was to identify the best statistical model to derive normative BMD values in both men and women in the multiethnic United States population.

METHODS

The Third National Health and Nutrition Examination Survey was used as a data source. Gender- and race/ethnicity-stratified data analyses and modeling were conducted on 9779 persons (ages 20 to 65 years) who reported no conditions or medications likely to affect bone metabolism. Sampling and design effects were addressed using STATA 10. Model comparisons were conducted by partial F tests and residual plots.

RESULTS

Polynomial regression provided a statistically significant better fit than linear regression in predicting normative BMD in both men and women. Age-centered polynomial models provided the best model for predicting normative BMD values.

CONCLUSION

The gender- and race-specific lower limit of normal values obtained created a new classification method of low BMD, which might mitigate some of the T-score limitations in men and minority populations.

Recommendations for Diagnosis and Management of Osteoporosis in COPD Men

Patients with chronic obstructive pulmonary disease (COPD) are at increased risk for osteoporosis and fractures because of lifestyle factors, systemic effects of the disease, side effects of treatment, and comorbidities. The initial evaluation of COPD men for osteoporosis must include a detailed medical history and physical examination, assessment of COPD severity, and additional tests, as suggested by results of clinical evaluation. Osteoporosis is diagnosed on the basis of bone mineral density (BMD) measurement with DEXA of the lumbar spine and hip, but fracture risk assessments tools, as FRAX, could be used as useful supplements to BMD assessments for therapeutics interventions. The prevention and treatment of osteoporosis in COPD involves nonpharmacologic and pharmacologic measures, as lifestyle measures and nutritional recommendations, management of COPD treatment (based on the use of limited corticosteroids doses), and drug therapy (bisphosphonates, teriparatide). In this paper, the current recommendations for diagnosis and management of osteoporosis in COPD men, based on recent medical bibliography, are presented and discussed.

Relationship between osteoporosis and adipose tissue leptin and osteoprotegerin in patients with chronic obstructive pulmonary disease

INTRODUCTION

The role of fat-bone interactions in the pathogenesis of osteoporosis in chronic obstructive pulmonary disease (COPD) is poorly understood. Our aim was to investigate expressions of leptin and osteoprotegerin (OPG) in the adipose tissue, and their relationships to osteoporosis in patients with COPD.

METHODS

In 39 patients with stable COPD, bone mineral density (BMD) and body composition was assessed by Dual Energy X-Ray Absorptiometry. Serum leptin was determined by the enzyme-linked immunosorbent assay, and bone turnover markers osteocalcin and β-crosslaps by the electrochemiluminiscence immunoassays. Subcutaneous adipose tissue samples were analyzed using real-time PCR.

RESULTS

Twenty-one patients without, and 18 with osteoporosis were enrolled (35 men; age 62.2 ± 7.3years). Compared to patients without osteoporosis, those with the disease had significantly lower serum levels and adipose tissue expressions of leptin, in association with increased serum β-crosslaps (p=0.028, p=0.034, p=0.022, respectively). Log adipose tissue leptin was inversely related to serum β-crosslaps (p=0.015), and directly to serum leptin (p<0.001) and to the total, femoral, and lumbar BMD and T-score (p<0.02 for all relationships). Adipose tissue OPG expression was related to all variables of bone density except for lumbar BMD and T-score (p<0.05 for all relationships). Log adipose tissue leptin and OPG expressions predicted femoral T-score independently of age, gender and pulmonary function (p<0.001, adjusted R(2)=0.383; p=0.008, adjusted R(2)=0.301, respectively). Introducing body mass (or fat mass) index into these models eliminated independent predictive value of leptin and OPG expressions.

CONCLUSION

Our results suggest that adipose tissue leptin and OPG expressions are related to osteoporosis in patients with COPD, and appear to act as mediators between fat mass and BMD.

Correlates of osteoporosis in chronic obstructive pulmonary disease: An underestimated systemic component

RATIONALE

Chronic obstructive pulmonary disease (COPD) patients are at increased risk of osteoporosis. Osteoporosis is under diagnosed and under treated in these patients and the underlying mechanisms remain unclear. To date, screening recommendations for osteoporosis in COPD patients are not available.

OBJECTIVES

To examine the prevalence of drug treatment of bone abnormalities as well as the clinical determinants of osteoporosis in COPD.

METHODS

COPD patients (n=554) consecutively entering pulmonary rehabilitation were included in this cross-sectional study. Medical history, current medication use, smoking status, lung function, bone mineral density, body composition and other clinical characteristics were assessed before entering pulmonary rehabilitation. Univariate- and multivariate multinomial logistic regression analyses were used to determine correlates of osteoporosis.

MAIN RESULTS

Twenty-one percent of patients had osteoporosis and 41% had osteopenia. Osteoporosis was pharmacologically under treated (82% of osteoporotic patients were not receiving bone medication). Independent predictors of osteoporosis were cachexia (OR: 12.1; 95%CI: 4.5-32.7; p<0.001), age between 55 and 65 years (OR: 6.0; 95%CI: 2.2-16.3; p<0.001) and over 65 years (OR: 11.7; 95%CI: 4.1-33.1; p=<0.001). Overweight (OR: 0.1; 95%CI: 0.05-0.4; p=0.001) and obesity (OR: 0.78; 95%CI: 0.02-0.4; p=0.002) showed a substantial protective effect.

CONCLUSIONS

The majority of COPD patients with osteoporosis entering pulmonary rehabilitation did not receive pharmacological treatment for osteoporosis. Cachectic COPD patients should be screened for osteoporosis, especially when over 55 years of age.

Assessment of determinants for osteoporosis in elderly men

SUMMARY

The aim of this cross-sectional study was to determine and quantify some determinants associated to low bone mineral density (BMD) in elderly men. This study showed that ageing, a lower body mass index (BMI), a higher blood level of C-terminal cross-linking telopeptides of type I collagen (CTX-1), family history of osteoporosis, and/or fracture and prior fracture were associated with bone mineral density.

INTRODUCTION

Our aims were to identify some determinants associated to low bone mineral density in men and to develop a simple algorithm to predict osteoporosis.

METHODS

A sample of 1,004 men aged 60 years and older was recruited. Biometrical, serological, clinical, and lifestyle determinants were collected. Univariate, multivariate, and logistic regression analyses were performed. Receiver operating characteristic analysis was used to assess the discriminant performance of the algorithm.

RESULTS

In the multiple regression analysis, only age, BMI, CTX-1, and family history of osteoporosis and/or fracture were able to predict the femoral neck T-score. When running the procedure with the total hip T-score, prior fracture also appeared to be significant. With the lumbar spine T-score, only age, BMI, and CTX-1 were retained. The best algorithm was based on age, BMI, family history, and CTX-1. A cut-off point of 0.25 yielded a sensibility of 78%, a specificity of 59% with an area under the curve of 0.73 in the development and validation cohorts.

CONCLUSION

Ageing, a lower BMI, higher CTX-1, family history, and prior fracture were associated with T-score. Our algorithm is a simple approach to identify men at risk for osteoporosis.

Screening for osteoporosis in the adult U.S. population: ACPM position statement on preventive practice

CONTEXT

Osteoporosis is a common and costly disease that is associated with high morbidity and mortality. There is a lack of direct evidence supporting the benefits of bone mineral density (BMD) screening on osteoporosis outcomes. However, there is indirect evidence to support screening for osteoporosis given the availability of medications with good antifracture efficacy. This paper addresses the position of the American College of Preventive Medicine (ACPM) on osteoporosis screening.

EVIDENCE ACQUISITION

The medical literature was reviewed for studies examining the benefits and harms of osteoporosis screening. An overview is also provided of available modalities for osteoporosis screening, risk-assessment tools, cost effectiveness, benefits and harms of screening, rationale for the study, and recommendations from leading health organizations and ACPM. A review was done of English language articles published prior to September 2008 that were retrieved via search on PubMed, from references from pertinent review or landmark articles, and from websites of leading health organizations.

EVIDENCE SYNTHESIS

There were no randomized controlled trials (RCTs) of osteoporosis screening on fracture outcomes. However, there was one observational study that demonstrated reduced fracture incidence among recipients of BMD testing. Dual energy x-ray absorptiometry is currently one of the most widely accepted and utilized methods for assessing BMD. Other potential tests for detecting osteoporosis include quantitative ultrasound, quantitative computer tomography, and biochemical markers of bone turnover. Testing via BMD is a cost-effective method for detecting osteoporosis in both men and women. Osteoporosis risk-assessment tools such as the WHO fracture-risk algorithm are useful supplements to BMD assessments as they provide estimates of absolute fracture risks. They can also be used with or without BMD testing to assist healthcare providers and patients in making decisions regarding osteoporosis treatments.

CONCLUSIONS

All adult patients aged >or=50 years should be evaluated for risk factors for osteoporosis. Screening with BMD testing for osteoporosis is recommended in women aged >or=65 years and in men aged >or=70 years. Younger postmenopausal women and men aged 50-69 years should undergo screening if they have at least one major or two minor risk factors for osteoporosis. It is also recommended that clinicians consider using an osteoporosis risk-assessment tool to evaluate absolute fracture risk to determine appropriate osteoporosis therapies.