Introduction: Osteoporosis is associated with increased fracture risk, leading to significant morbidity and mortality. Despite established clinical guidelines, a substantial gap remains between recommended and actual prescribing practices. Patients at very high fracture risk have poorer outcomes and are recommended to receive anabolic or parenteral antiresorptive therapies. However, access to these treatments is limited in Malaysian government hospitals due to cost constraints. Methodology: This retrospective clinical audit evaluated osteoporosis treatment prescriptions among very high-risk patients attending the Osteoporosis Endocrine Clinic at Hospital Queen Elizabeth II from 2020 to 2025. Very high fracture risk was defined according to the American Association of Clinical Endocrinologists criteria, including recent fractures, fractures on therapy, multiple fractures, high fall risk, glucocorticoid use, very high FRAX probability (>30% major osteoporotic fracture or >4.5% hip fracture), or very low bone mineral density (T-score <−3.0). Results: A total of 120 patients were included, with a median age of 68 years (interquartile range [IQR] 62–73). Most were of Chinese ethnicity (60%, n = 72), with a median body mass index of 22.6 kg/m² (IQR 19.6–26). Secondary osteoporosis was present in 70% of patients, commonly due to aromatase inhibitor use (45%), glucocorticoid-induced osteoporosis (13.3%), thyroid disorders (10.8%), and vitamin D insufficiency (9.2%). Only 12% of patients (n = 14) received anabolic or parenteral antiresorptive therapy, while 88% (n = 106) were treated with oral alendronate. Among those on alendronate, 19.8% (n = 21) developed adverse outcomes, including treatment failure (n = 13), gastrointestinal side effects (n = 6), and atypical femoral fractures (n = 2). Conclusion The uptake of guideline-recommended therapy in very high-risk osteoporosis patients remains low. A notable proportion of patients treated with oral alendronate experienced adverse outcomes or suboptimal responses. Addressing financial and systemic barriers is crucial to improving access to advanced therapies and optimizing patient outcomes.
Prescriptions ; Osteoporosis

Introduction: Primary hyperparathyroidism (PHPT) is frequently asymptomatic or detected incidentally; however, delayed diagnosis may lead to severe skeletal complications. Early recognition is essential, as timely identification and management of parathyroid disease can prevent significant morbidity, although diagnosis may be challenging when clinical and imaging findings are inconclusive. Case: A 46-year-old female with severe bilateral hearing impairment presented to the orthopedic clinic with 3 years’ history of bilateral knee pain and was found to have a right intertrochanteric femur fracture following minimal trauma. She was referred for evaluation of suspected secondary osteoporosis. She has had intermittent constipation and long-standing oligomenorrhea since menarche. There was no history of childhood fractures or use of medications affecting bone metabolism. Examination revealed bilateral knee bowing. Initial evaluation considered metabolic bone disease, including Paget’s disease; however, skeletal survey showed no features suggestive of Paget’s disease or multiple myeloma. Biochemical investigations demonstrated persistent hypercalcemia (2.65–3.1 mmol/L) with inappropriately elevated intact parathyroid hormone (peak 7.62 pmol/L), consistent with PHPT. Serum phosphate was low-normal. Concomitant vitamin D deficiency (25-OH vitamin D 34.46 nmol/L) improved following replacement. Bone mineral density confirmed severe osteoporosis (lumbar spine T-score −5, z-score -4.1); (forearm −6.7, z-score -6.1) reflecting prolonged untreated disease. Neck ultrasound demonstrated a mixed solid-cystic lesion posterior to the right thyroid lobe, suggestive of a parathyroid adenoma. The TC-99 m Sestamibi scan showed no definite focal uptake. However, subsequent SPECT-CT revealed focal tracer uptake at the posterior right thyroid gland, consistent with a hyperfunctioning parathyroid gland. Parathyroidectomy was done. Postoperatively, the calcium level normalized. Conclusion Severe osteoporosis and fragility fracture occur, reflecting prolonged exposure to excess parathyroid hormone and significant skeletal morbidity. Early biochemical evaluation in unexplained severe osteoporosis is essential, as timely diagnosis and definitive management of parathyroid disease are critical to halt ongoing bone loss and prevent irreversible complications.
Hyperparathyroidism, Primary ; Osteoporosis

OBJECTIVE: To summarize the research progress of bioactive scaffolds in the repair and regeneration of osteoporotic bone defects. METHODS: Recent literature on bioactive scaffolds for the repair of osteoporotic bone defects was reviewed to summarize various types of bioactive scaffolds and their associated repair methods. RESULTS: The application of bioactive scaffolds provides a new idea for the repair and regeneration of osteoporotic bone defects. For example, calcium phosphate ceramics scaffolds, hydrogel scaffolds, three-dimensional (3D)-printed biological scaffolds, metal scaffolds, as well as polymer material scaffolds and bone organoids, have all demonstrated good bone repair-promoting effects. However, in the pathological bone microenvironment of osteoporosis, the function of single-material scaffolds to promote bone regeneration is insufficient. Therefore, the design of bioactive scaffolds must consider multiple factors, including material biocompatibility, mechanical properties, bioactivity, bone conductivity, and osteogenic induction. Furthermore, physical and chemical surface modifications, along with advanced biotechnological approaches, can help to improve the osteogenic microenvironment and promote the differentiation of bone cells. CONCLUSION With advancements in technology, the synergistic application of 3D bioprinting, bone organoids technologies, and advanced biotechnologies holds promise for providing more efficient bioactive scaffolds for the repair and regeneration of osteoporotic bone defects.
Humans ; Tissue Scaffolds/chemistry* ; Bone Regeneration ; Osteoporosis/therapy* ; Tissue Engineering/methods* ; Biocompatible Materials/chemistry* ; Printing, Three-Dimensional ; Calcium Phosphates/chemistry* ; Osteogenesis ; Ceramics ; Cell Differentiation ; Hydrogels ; Bioprinting ; Bone and Bones

OBJECTIVE: To analyze the demographic and clinical characteristics of inpatients with osteoporotic vertebral compression fractures (OVCF) and provide a basis for clinical prevention and treatment. METHODS: A retrospective analysis was performed on the clinical data of 744 inpatients diagnosed with OVCF between January 2017 and December 2021 who met the inclusion criteria. Among them, 146 were male and 598 were female, with age ranging from 50 to 95 years (mean, 69.37 years). The demographic characteristics (gender, age, ethnicity, occupation, regional distribution, urban-rural distribution, and seasonal incidence) and clinical features [causes of injury, history of vertebral fractures, smoking and drinking history in males, comorbidities (hypertension, diabetes, coronary atherosclerotic heart disease, cerebral infarction), body mass index (BMI), blood lipid levels, menopausal age in females, vertebral bone mineral density T-value, number of vertebral fractures, and fracture segment distribution] of OVCF patients were analyzed. Multiple linear regression was used to analyze the independent risk factors of vertebral osteoporosis. RESULTS: The demographic analysis indicated that female patients with OVCF were significantly younger than male patients ( P<0.05). Significant differences were observed in the age distribution of OVCF between males and females ( P<0.05), with the highest proportion of male patients in the 70-79 years group (37.0%) and the highest proportion of female patients in the 60-69 years group (40.0%). From 2017 to 2021, the age of onset for OVCF gradually increased, with a similar trend observed for both genders. The distribution of occupations between genders also showed significant differences ( P<0.05); with the top three occupations for males being farmers (48.6%), retirees (24.7%), and workers (13.7%), while for females, the leading occupations were farmers (51.5%), retirees (19.4%), and service workers (10.0%). Female OVCF patients had higher BMI, vertebral bone mineral density T-value, history of vertebral fractures, hypertension prevalence, and blood lipid levels compared to male patients ( P<0.05). No significant difference between the males and the females was found in ethnicity, seasonal distribution, regional distribution, urban-rural distribution, causes of injury, number of vertebral fractures, or prevalence of comorbidities (except hypertension) ( P>0.05). Among the 744 OVCF patients, a total of 1 309 vertebrae were involved, with 628 thoracic vertebrae (48.0%) and 681 lumbar vertebrae (52.0%). The most common fracture segments were L ₁ (22.5%), T ₁₂ (21.2%), followed by L ₂ (12.2%) and T ₁₁ (10.2%). No significant gender difference was observed in the distribution of fracture segments ( P>0.05). Multiple linear regression analysis indicated that older age, female, and lower BMI were independent risk factors for vertebral osteoporosis ( P<0.05). CONCLUSION The age of onset of OVCF patients is increasing year by year. The number of fractured vertebral bodies, age distribution of morbidity, occupational distribution, BMI, history of vertebral fracture, hypertension, and blood lipid levels are related to gender. The occurrence of OVCF is mainly in the thoracolumbar segment. The female, older age, and lower BMI are independent risk factors of osteoporosis.
Humans ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Spinal Fractures/etiology* ; Aged, 80 and over ; Osteoporotic Fractures/etiology* ; Fractures, Compression/etiology* ; Risk Factors ; Bone Density ; China/epidemiology* ; Osteoporosis/epidemiology* ; Comorbidity ; Inpatients ; Sex Factors ; Age Factors

OBJECTIVE: To summarize the advances in MRI-based bone quality scoring systems and their clinical applications. METHODS: A comprehensive literature review was conducted on recent studies related to the MRI-based bone quality scoring system, focusing on measurement methods, influencing factors, and clinical significance. RESULTS: Osteoporosis has a high incidence in China, significantly impacting patients' quality of life and the postoperative outcomes of related orthopedic surgeries. Early identification of osteoporosis holds important clinical significance. In recent years, both domestic and international research has enriched the MRI-based bone quality scoring systems, which includes vertebral bone quality scoring, endplate bone quality scoring, and pedicle bone quality scoring. Compared to the "gold standard" of bone density measurement, dual-energy X-ray absorptiometry, the bone quality scoring systems demonstrate good efficacy in identifying abnormal bone mass and predicting postoperative complications, while being less influenced by degenerative changes in the lumbar spine, indicating its important clinical application value. CONCLUSION The MRI-based bone quality scoring systems have good value in clinical applications. However, current studies are mostly retrospective cohort and case-control studies, which carry a risk of bias. The clinical application value needs further clarification through meta-analysis and large-scale prospective studies.
Humans ; Magnetic Resonance Imaging/methods* ; Bone Density ; Osteoporosis/diagnosis* ; Absorptiometry, Photon ; Bone and Bones/diagnostic imaging* ; Lumbar Vertebrae/diagnostic imaging* ; Quality of Life ; Postoperative Complications

OBJECTIVE:  To estimate the population attributable disease burden (PAD) of low bone mineral density (LBMD) related fractures (fragility fractures) among Chinese people over 50 years old from 1990 to 2023, using data from the Global Burden of Disease Study 2023 (GBD 2023), and to provide evidence for prevention strategies and health resource allocation. METHODS:   Based on the GBD 2023, the LBMD summary exposure values (SEV), fracture incidence, years lived with disability (YLDs), and LBMD-related falls YLDs of Chinese people over 50 years old from 1990 to 2023 were extracted. PAD was calculated with population attributable fraction (PAF), and an entropy-weight method was applied to evaluate the contribution of individual fracture sites. Temporal trends and sex differences were examined with Joinpoint regression. RESULTS:  From 1990 to 2023, the age-standardized SEV of LBMD in people over 50 years old showed an overall decline [average annual percent change (AAPC)=-0.564%]. Age-standardized fracture incidence, fracture YLDs rate, and LBMD-related falls YLDs rate all exhibited W-shaped upward trends (AAPC=1.045%, 0.296%, and 0.724%, respectively). PAF-based estimates indicated that LBMD-attributable fracture incidence likewise increased in a "W-shaped" manner (AAPC=0.558%), whereas the corresponding YLDs rate showed an overall W-shaped decline (AAPC=-0.193%). In international comparison, China and the global average displayed broadly concordant directions of change, with greater volatility in China and a progressive narrowing of the gap after 2015. Regarding sex differences, fracture YLDs rates were consistently higher in the males, whereas the other burden indicators were higher in the females; the temporal patterns were similar in both sexes. Entropy weight method identified hip fractures as contributing most to incidence (weight 0.133), and pelvic fractures as the largest contributor to YLDs rate (weight 0.115). CONCLUSION Since 1990, the LBMD attributable fracture burden in China's older population has risen, with female and hip or pelvic fractures bearing the heaviest load. Strengthened osteoporosis screening, improved insurance coverage, and targeted health education are urgently needed to curb further increases in disease burden.
Humans ; China/epidemiology* ; Middle Aged ; Female ; Male ; Bone Density ; Aged ; Incidence ; Osteoporotic Fractures/epidemiology* ; Aged, 80 and over ; Accidental Falls/statistics & numerical data* ; Cost of Illness ; Global Burden of Disease ; Osteoporosis/complications* ; Disability-Adjusted Life Years ; Fractures, Bone/epidemiology*

OBJECTIVE: To investigate the characteristics of Vitamin D (VitD) and bone metabolism in patients with knee osteoarthritis (KOA) concurrent with osteoporosis (OP). METHODS: A retrospective analysis was performed on 240 patients who were admitted to the orthopedics department between March 2019 and March 2024. Patients were stratified into four distinct groups according to their respective disease categories.There were 90 patients in the simple KOA group, comprising 13 males and 77 females, age ranged from 50 to 91 years old with an average of (68.48±8.96) years old. There were 90 patients in the simple OP group, comprising 7 males and 83 females, age ranged from 52 to 88 years old with an average of (69.60±8.94 )years old. There were 30 patients in the KOA with OP group, comprising 1 male and 29 females, age ranged from 51 to 91 years old with an average of(69.03±7.93) years old. There were 30 patients in the physical examination group, comprising 5 males and 25 females, age ranged from 53 to 79 years old with an average of(64.93±6.51) years old. The general data and the levels of osteocalcin (OC), β-CrossLaps, parathyroid hormone(PTH) and VitD in each group were observed. RESULTS: The level of VitD in KOA with OP group (19.62±10.38) ng·ml^-1 and OP group (20.65±10.50) ng·ml^-1 was lower than that in physical examination group (27.46±8.00) ng·ml^-1 and KOA group (24.01±9.11) ng·ml^-1 (P<0.05). There were significant differences in β- CrossLaps and PTH levels among the four groups (P<0.001, P=0.019, respectively), while there was no significant difference in OC levels (P=0.763). Compared with the two simple disease groups, the KOA with OP group had higher levels of β - CrossLaps(0.81±0.30) ng·ml^-1 (P<0.001). There were significant differences in β-CrossLaps and PTH between the simple KOA group(0.54±0.22) ng·ml^-1, (46.03±18.08) pg·ml^-1 and the physical examination group (0.44±0.19) ng·ml^-1, (36.65±9.63) pg·mL^-1(P=0.038;P=0.006). There was a significant difference in PTH between the OP group(43.85±14.30) ng·ml-1, and the physical examination group, P=0.004. There was a significant difference in Kallgren-Lawrence grading between KOA with OP group and KOA group (P=0.006). Within KOA with OP group, the differences of β-CrossLaps and VitD levels among different K-L grades were statistically significant (P=0.016). The level of OC, β-CrossLaps and PTH within KOA with OP group was significantly different at different VitD levels (P=0.013, P=0.033, P=0.046). CONCLUSION Patients with KOA complicated by OP exhibit greater disturbances in bone metabolism and reduced VitD levels, particularly reflected by elevated β-CrossLaps. These findings underscore the importance of early monitoring of bone turnover and VitD supplementation in advanced-stage KOA with bone loss.
Humans ; Female ; Male ; Middle Aged ; Aged ; Vitamin D/blood* ; Osteoporosis/complications* ; Aged, 80 and over ; Osteoarthritis, Knee/complications* ; Retrospective Studies ; Bone and Bones/metabolism* ; Parathyroid Hormone/metabolism* ; Osteocalcin/metabolism*

OBJECTIVE: To explore the epidemiological characteristics of knee osteoarthritis (KOA) among the elderly in the community, and its correlation with bone mass loss. METHODS: A cross-sectional study was conducted on elderly community population over 50 year old from 12 community health service centers in Zhejiang province. Their gender, age, body mass index (BMI), T value and KOA diagnosis were collected using face to face questionnaire survey. Univariate regression was used to analyze the influence of age, gender, BMI and bone loss on KOA. Logistic multivariate regression model was used to analyze the independent effect of bone mass loss on KOA. RESULTS: Among 4 173 subjects in this study, 1 710 of them were had a KOA. The prevalence rate was 40.9%. The mean age, the proportion of females and the mean BMI in KOA patients were (65.5±3.8) years old, 67.7%(1 158/1 710) and(24.59±1.28) kg·m^-2, respectively, which were significantly higher than (58.5±3.2) years old, 51.3%(1 263/2 463), and (23.48±1.25) kg·m^-2 in non-KOA subjects (P<0.001). In the population aged from 60 to 69 years old, the influence of osteopenia and osteoporosis on the prevalence of KOA was[OR=1.21, 95%CI(1.00, 1.46), P=0.053 2], [OR=1.42, 95%CI(1.14, 1.78), P=0.002 2]. The influence of male and female osteoporosis on the prevalence of KOA was [OR=1.52, 95%CI(1.16, 1.99), P=0.002 7] and [OR=1.87, 95%CI(1.51, 2.32), P<0.000 1], respectively. In the population of 24 kg·m^-2≤BMI<28 kg·m^-2, the influence of osteopenia and osteoporosis on the prevalence of KOA was [OR=1.47, 95%CI(1.21, 1.80), P=0.000 1], [OR=2.69, 95%CI(2.11, 3.42), P<0.000 1], respectively. After controlling the confounding factors of age, gender and BMI, compared with people with normal bone mass, the effect of osteopenia on the prevalence of KOA was [OR=1.34, 95%CI(1.08, 1.67), P=0.009 2], and the effect of osteoporosis on the prevalence of KOA was [OR=1.38, 95%CI(1.06, 1.79), P=0.017 9]. CONCLUSION Elderly overweight women are more likely to develop KOA. Bone mass loss is an independent risk factor for KOA, which will significantly increase the prevalence of KOA in people overweight or aged 60 to 69 years old.
Humans ; Female ; Male ; Aged ; Osteoarthritis, Knee/etiology* ; Middle Aged ; Cross-Sectional Studies ; Bone Density ; Aged, 80 and over ; Incidence ; Body Mass Index ; China/epidemiology* ; Osteoporosis/epidemiology*

OBJECTIVE: To explore the co-morbid influencing factors of postmenopausal osteoporosis(PMOP) and dyslipidemia, and to provide evidence-based basis for clinical co-morbidity management. METHODS: Based on the 2017 to 2018 Beijing community cross-sectional survey data, PMOP patients were included and divided into the dyslipidemia group and the uncomplicated dyslipidemia group according to whether they were comorbid with dyslipidemia. Demographic characteristics, living habits and disease history were collected through questionnaires, and bone mineral density and bone metabolism biomarkers (osteocalcin, blood calcium, serum typeⅠprocollagen N-terminal prepeptide, etc.) were detected on site. Co-morbidity risk factors were analyzed using binary logistic regression. RESULTS: Three hundred and twenty patients with PMOP were included, including the comorbid group (75 patients) and the uncomplicated group (245 patients). The results showed that history of cardiovascular disease [OR=1.801, 95%CI(1.003, 3.236), P=0.049], history of cerebrovascular disease [OR=2.923, 95%CI(1.460, 5.854), P=0.002], frying and cooking methods[OR=5.388, 95%CI(1.632, 17.793), P=0.006], OST results[OR=0.910, 95%CI(0.843, 0.983), P=0.016], and blood Ca results [OR=60.249, 95%CI(1.862, 1 949.926), P=0.021] were the influencing factors of PMOP complicated with dyslipidemia. CONCLUSION Focus should be placed on the influencing factors of PMOP and dyslipidemia co-morbidities, with emphasis on multidimensional assessment, combining lifestyle interventions with bone metabolism marker monitoring to optimize co-morbidity management.
Humans ; Dyslipidemias/epidemiology* ; Female ; Middle Aged ; Osteoporosis, Postmenopausal/metabolism* ; Aged ; Cross-Sectional Studies ; Risk Factors ; Bone Density

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors