Burden of osteoporosis in Thailand

Trends in osteoporosis prevalence at a tertiary care referral center hospital in Northeastern Thailand: a 20-year analysis (2003-2022)

The current study aimed to investigate the prevalence trends of osteoporosis from 2003 to 2022 using data from the largest tertiary care referral center hospital in Northeastern Thailand. We reviewed 36,306 bone mineral density measurements of community-dwelling individuals aged > 45 years from the medical record database of Srinagarind Hospital, Khon Kaen, Thailand, between 2003 and 2022. We observed a significant increase in the crude prevalence of osteoporosis from 2003 to 2022. Meanwhile, the age-standardized prevalence increased more gradually.

PURPOSE

To investigate the prevalence trends of osteoporosis from 2003 to 2022 using data from the largest tertiary care referral center in Northeastern Thailand.

METHODS

Bone mineral density (BMD) measurements of community-dwelling individuals aged > 45 years were reviewed from the medical record database of Srinagarind Hospital, Khon Kaen, Thailand, between 2003 and 2022. Osteoporosis was defined by a T-score of ≤  - 2.5. For each year, crude and age-standardized prevalence rates for osteoporosis stratified by site of measurement were calculated. Trend analysis was performed using the joinpoint regression method.

RESULTS

A total of 36,306 BMD measurements were identified between 2003 and 2022. The crude prevalence of femoral neck (FN) osteoporosis increased from 2.4% to 9.2% in men and from 2.5% to 11.2% in women, while the age-standardized prevalence increased less, from 2.6% to 8.3% in men, and slightly decreased from 8.7% to 7.6% in women. Trend analysis revealed increased crude and age-standardized prevalence rates of FN osteoporosis in men, with an annual percent change (APC) of 4.0 (95%CI: - 4.1 to 14.7) and 2.3 (95%CI: - 4.9 to 10.0), respectively. In women, the crude prevalence increased significantly from 2003 to 2011 (APC: 20.8, 95%CI: 5.8-249.3) and plateaued from 2011 to 2022 (APC: 0.8, 95%CI: - 30.3 to 5.9). The age-standardized prevalence was relatively unchanged (APC: 0.1, 95%CI: - 4.2 to 5.4).

CONCLUSION

We observed a significant increase in the crude prevalence of osteoporosis from 2003 to 2022 among individuals receiving BMD measurements in a tertiary care referral center in Northeastern Thailand. Meanwhile, the age-standardized prevalence increased more gradually.

Current issues in evaluation and management of osteoporosis in Thailand

Osteoporosis is a major public health issue in Thailand, which increased morbidity, mortality, and health-care utilization. The objective of this review is to provide current perspectives on epidemiology, evaluation and management of osteoporosis in Thailand. According to epidemiologic data, the prevalence of osteoporosis and the incidence of hip fracture were comparable to the rest of the world. However, among Thai postmenopausal women, the prevalence of asymptomatic vertebral fracture was disproportionately high. In addition to established risk factors, conditions that may affect the risk of osteoporosis in the Thai population include certain genetic variants, thalassemia, vitamin D deficiency, and low dietary calcium intake, which requires further investigations to draw conclusions. In 2021, the Thai Osteoporosis Foundation released a new Clinical Practice Guideline that provides up-to-date evidence-based recommendations for evaluation and management of osteoporosis. Nonetheless, more research is required to provide local evidence in a variety of areas to guide management of osteoporosis in Thailand. These include epidemiology of distal radial fracture, the optimal intervention threshold of the Thai-specific Fracture Risk Assessment Tool model, screening for asymptomatic vertebral fracture, and the economic evaluation of osteoporosis management options, including fracture liaison service.

Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women

Osteoporosis is still a serious public health issue in Thailand, particularly in postmenopausal women; meanwhile, new effective screening tools are required for rapid diagnosis. This study constructs and confirms an osteoporosis screening tool-based decision tree (DT) model. Four DT algorithms, namely, classification and regression tree; chi-squared automatic interaction detection (CHAID); quick, unbiased, efficient statistical tree; and C4.5, were implemented on 356 patients, of whom 266 were abnormal and 90 normal. The investigation revealed that the DT algorithms have insignificantly different performances regarding the accuracy, sensitivity, specificity, and area under the curve. Each algorithm possesses its characteristic performance. The optimal model is selected according to the performance of blind data testing and compared with traditional screening tools: Osteoporosis Self-Assessment for Asians and the Khon Kaen Osteoporosis Study. The Decision Tree for Postmenopausal Osteoporosis Screening (DTPOS) tool was developed from the best performance of CHAID’s algorithms. The age of 58 years and weight at a cutoff of 57.8 kg were the essential predictors of our tool. DTPOS provides a sensitivity of 92.3% and a positive predictive value of 82.8%, which might be used to rule in subjects at risk of osteopenia and osteoporosis in a community-based screening as it is simple to conduct.

Bone Mineral Density and Trabecular Bone Score in Predicting Vertebral Fractures in Male Employees of the Electricity Generating Authority of Thailand

PURPOSE

Osteoporotic VF is frequently asymptomatic and affects not only women but also men. Identifying patients at risk is essential for early management and prevention. BMD and the TBS are measurements of bone strength and trabecular microarchitecture, respectively. Their role in VF prediction in men is less well-studied. We determined the BMD and TBS predictive ability for osteoporotic VF in men.

METHODS

A total of 115 male participants of the Electricity Generating Authority of Thailand (EGAT) cohorts without a history of VF who completed the baseline BMD and TBS measurements in 2012 and a thoracolumbar spine radiograph in 2017 were recruited. The VF was assessed using the Genant semiquantitative method. Logistic regression analysis was performed to identify factors associated with the fracture. The area under the receiving operator curve (AUC) was analyzed to define VF predictive ability.

RESULTS

Forty subjects (34.78%) had VFs. The unadjusted relative risks (95% confidence interval) for VF for one standard deviation decrease in the TBS and low TBS were 1.319 (1.157-1.506) and 2.347 (1.496-3.682), respectively, and remained significant after BMD and age adjustment. For VF prediction, combined models had a greater AUC than models predicted from a single variable. The use of low TBS, femoral neck BMD, and age provided the best AUC (0.693).

CONCLUSION

BMD and the TBS could predict osteoporotic VF in male EGAT employees. The use of both BMD and the TBS in the VF prediction process improved predictive ability.

An optimal intervention threshold of FRAX in postmenopausal Thai women

This study was designed to determine a FRAX intervention threshold in postmenopausal Thais, based on a history of hip fracture. The optimal FRAX thresholds for hip fracture were 4.9% (without BMD) and 4% (with BMD), while the thresholds for major osteoporotic fracture were 9.8% (without BMD) and 8.9% (with BMD).

INTRODUCTION

Fracture Risk Assessment Tool (FRAX) has been widely used as an intervention threshold for initiating osteoporosis treatment. However, there is a lack of data to validate the threshold in Thai population.

METHODS

A cross-sectional study was conducted from January 2014 to February 2019. Postmenopausal women in the Northeast of Thailand whom has bone mineral density (BMD) measured using dual-energy X-ray absorptiometry (DXA) in the study period were recruited. Participants who had previously received anti-osteoporotic treatment were not eligible. FRAX score, both with and without BMD, was calculated using a Thai reference. Prevalent hip fracture was identified by reviewing the ICD-10 diagnosis from the hospital database during the study period. The receiver operating characteristic (ROC) curve and Youden index were used to determine the FRAX threshold in predicting hip fracture, based on the rationale that women with a prevalent hip fracture would be eligible for treatment.

RESULTS

A total of 2872 postmenopausal Thai women were recruited, with 45 sustained a recent hip fracture. In association with hip fracture, the optimal FRAX thresholds for hip fracture without and with BMD were 4.9% and 4%, respectively, with 71.1% sensitivity and 83.3% specificity, and 82.2% sensitivity and 78.6% specificity, while the optimal FRAX thresholds for major osteoporotic fracture (MOF) without and with BMD were 9.8% and 8.9%, respectively, with 75.6% sensitivity and 77.0% specificity, and 86.7% sensitivity and 70.9% specificity.

CONCLUSION

An optimal intervention threshold based on FRAX of hip fracture and MOF in postmenopausal Thai women is slightly different from the standard recommendation, which confirmed the marked variations of thresholds across ethnicities. The proposed threshold should be considered as new cutoff for initiating osteoporosis treatment in postmenopausal Thais.