OBJECTIVE: To explore relationship between bone marrow edema(BME) and osteoporosis in patients with severe knee osteoarthritis. METHODS: Unmatched case-control study was conducted. Totally 160 patients with severe knee osteoarthritis who had undergone knee magnetic resonance imaging (MRI) and bone mineral density examination (BMD) from January 2020 to March 2021 were included. Eighty patients complicated with BME were included in BME group, and 80 patients without BME were selected as NBME group. In BME group, there were 12 males and 68 females, aged from 51 to 80 years old with an average of(66.58±8.10) years old;the courses of disease ranged from 5 to 40 months with an average of (15.61±9.25) months;body mass index(BMI) ranged from 21.81 to 34.70 with an average of (27.79±3.00) kg·m^-2;25 patients classified to grade Ⅲ and 55 patients grade Ⅳ according to Kellgren- Lawrence(K-L). In NBME group, there were 15 males and 65 females, aged from 50 to 80 years old with an average of(67.82±8.05) years old;the course of disease ranged from 6 to 37 months with an average of(15.75±8.18) months;BMI ranged from 21.39 to 34.46 with an average of (28.26±3.13) kg·m^-2;25 patients were K-L Ⅲ and 55 patients with K-L Ⅳ. The degree of bone marrow edema was evaluated by knee whole oragan magnetic resonance imaging score(WORMS). Osteoporosis was diagnosed and BMD was evaluated by DXA T value. To explore the relationship between bone marrow edema and osteoporosis by comparing prevalence rate of osteoporosis between two groups, and to further explore relationship between BME and BMD by Spearman correlation analysis of BME WORMS score and DXA T value in BME group. RESULTS: The complete case data were obtained on the first diagnosis, and there was no significant difference in sex, age, courses of disease and BMI between two groups (P>0.05). The proportion of K-L Ⅳ in BME group was significantly higher than that in NBME (P<0.05). The prevalence rate of osteoporosis in BME group was significantly higher than in NBME group with the same K-L grade (P<0.001), and there was a strong negative correlation between BME WORMS score and DXA BMD T value (r=-0.812, |r|=0.812 >0.8, P<0.001). CONCLUSION Osteoporosis is one of the risk factors of bone marrow edema in patients with severe knee osteoarthritis, and the lower the bone mineral density is, the easier it is to be complicated with bone marrow edema.
Male ; Female ; Humans ; Osteoarthritis, Knee/diagnostic imaging* ; Bone Marrow/pathology* ; Case-Control Studies ; Bone Marrow Diseases/etiology* ; Osteoporosis/complications* ; Edema/etiology* ; Magnetic Resonance Imaging/methods*

INTRODUCTION: A significant treatment gap has been observed in patients with osteoporosis. Our previous audit found a 31.5% rate of anti-osteoporosis medication initiation after fragility fractures at one year. We piloted the use of telecarers to monitor osteoporosis treatment and compliance. METHODS: From January 2017 to January 2018, all hip fracture patients at Changi General Hospital, Singapore, were automatically enrolled into the Health Management Unit valued care hip fracture programme. Telecarer calls were scheduled at discharge, 3, 6 and 12 months. We assessed the acceptability, completion and treatment rates of patients enrolled in this programme. RESULTS: A total of 537 patients with a hip fracture were enrolled in the telecarer programme over one year. Their average age was 79.8 ± 8.23 years, and 63.1% of them were female. A total of 341 patients completed 12 months of follow-up, of which 251 (73.6%) patients were on treatment at 12 months. The most common cause of lack of initiation of secondary osteoporosis treatment was patient or family rejection (34.4%), followed by physician failure to prescribe (24.4%) and renal impairment (24.4%). 16.7% of patients were deemed to have advanced dementia with a life-limiting illness and were, thus, deemed unsuitable for treatment. CONCLUSION Telecarers may be a useful adjunct in the monitoring of osteoporosis treatment after hip fractures in an elderly population. The main limitations are patient or family rejection and physician inertia. Further studies should focus on a combination of interventions for both patients and physicians to increase awareness of secondary fracture prevention.
Humans ; Female ; Aged ; Aged, 80 and over ; Male ; Osteoporotic Fractures/drug therapy* ; Bone Density Conservation Agents/therapeutic use* ; Osteoporosis/drug therapy* ; Hip Fractures/etiology* ; Secondary Prevention

OBJECTIVE: To explore the risk factors of hidden blood loss in osteoporosis vertebral compression fractures during percutaneous vertebral augmentation. METHODS: From October 2018 to December 2019, 360 patients with osteoporosis vertebral compression fractures who received percutaneous vertebral augmentation were enrolled in this study. The factors analyzed included gender, age, surgical methods, disease course, height, weight, the operative segment, bone mineral density, amount of bone cement, operative time, percentage of height loss, percentage of vertebral height restoration, cement leakage, blood clotting function, preoperative and postoperative hemoglobin and hematocrit and other internal diseases. Total blood loss was calculated by Gross's formula, influential factors of the hidden blood loss were further analyzed by t-test, multivariate linear regression and one-way ANOVA analysis. RESULTS: Surgical methods, the operative segment, disease course, cement leakage, preoperative hemoglobin, cement leakage via the basivertebral and segmental vein were significantly correlated with hidden blood loss(P<0.05). CONCLUSION Patients with percutaneous kyphoplasty, two-level and multi-level surgery, the course of the disease beyond 6 weeks, cement leakage via the basivertebral and segmental vein, and lower preoperative hemoglobin had more perioperative hidden blood loss.
Bone Cements/adverse effects* ; Fractures, Compression/etiology* ; Humans ; Kyphoplasty/methods* ; Osteoporosis/complications* ; Osteoporotic Fractures/surgery* ; Retrospective Studies ; Risk Factors ; Spinal Fractures/etiology* ; Treatment Outcome ; Vertebroplasty/adverse effects*

The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients' physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.
Bone Density ; Deep Learning ; Diabetes Mellitus/epidemiology* ; Female ; Fractures, Bone/etiology* ; Humans ; Osteoporosis/complications* ; Risk Factors

Objective: To understand the prevalence of osteoporosis and related factors in postmenopausal women aged ≥40 years in China and provide scientific evidence for osteoporosis prevention and control. Methods: Data of this study were from the 2018 China Osteoporosis Epidemiological Survey, covering 44 counties (districts) in 11 provinces in China. Related variables were collected by questionnaire survey and physical measurement, and the BMD of lumbar spine and proximal femur was measured by dual-energy X-ray absorption method. The prevalence of osteoporosis and its 95%CI in postmenopausal women aged ≥40 years were estimated with complex sampling weights. Results: A total of 5 728 postmenopausal women aged ≥40 years were included in the analysis and the prevalence of osteoporosis was 32.5% (95%CI: 30.3%-34.7%). The prevalence of osteoporosis in postmenopausal women aged 40-49 years, 50-59 years, 60-69 years, 70-79 years, and ≥80 years were 16.0% (95%CI:4.5%-27.5%), 18.4% (95%CI:15.9%-20.8%), 37.5% (95%CI:34.5%-40.4%), 52.9% (95%CI: 47.5%-58.3%), and 68.0% (95%CI:55.9%-80.1%) respectively. The prevalence of osteoporosis was higher (P<0.001) in those with education level of primary school or below (47.2%, 95%CI: 43.0%-51.3%) and in those with individual annual income less than 10 000 Yuan, (40.3%, 95%CI: 36.9%-43.7%). The prevalence of osteoporosis was 35.1% in rural areas (95%CI: 32.0%-38.1%), which was higher than that in urban areas (P<0.001). The prevalence of osteoporosis in low weight, normal weight, overweight and obese groups were 69.9% (95%CI: 59.0%-80.8%), 42.2% (95%CI: 38.7%-45.7%), 24.2% (95%CI: 21.3%-27.1%) and 14.6% (95%CI: 11.1%-18.0%), respectively. The prevalence of osteoporosis in those with menstrual maintenance years ≤30 years and in those with menopause years ≥11 years were 46.1% (95%CI:40.8%-51.3%) and 48.2% (95%CI:45.0%-51.3%), respectively. Multivariate logistic analysis showed that age ≥60 years, education level of primary school or below, annual household income per capita less than 10 000 Yuan, low body weight, menstrual maintenance years ≤30 years, menopause years ≥11 years were risk factors of osteoporosis in postmenopausal women in China. Conclusions: The prevalence of osteoporosis was high in postmenopausal women aged ≥40 years in China, and there were differences in osteoporosis prevalence among different socioeconomic groups. Effective interventions should be taken for the prevention and control of osteoporosis in key groups in the future.
Absorptiometry, Photon ; Bone Density ; China/epidemiology* ; Female ; Humans ; Lumbar Vertebrae ; Osteoporosis/epidemiology* ; Osteoporosis, Postmenopausal/etiology* ; Postmenopause ; Prevalence ; Risk Factors

BACKGROUND: Although there are few studies mentioned there may be some relationship between psoriatic arthritis (PsA) and osteoporosis, clinical data in real world still need to be clarified in China. The aim of this study was to assess the areal and volumetric bone mineral density (BMD), frequency of fracture, and risk factors in patients with PsA. METHODS: A total of one hundred PsA patients who visited Peking University First Hospital and one hundred age- and sex-matched healthy controls with DXA data were enrolled in the study. Patients with clinical fractures confirmed by X-ray during follow-up were also recorded. Clinical characteristics of the patients were recorded and compared between the abnormal BMD group and the normal BMD group, as well as between the fracture and non-fracture groups. Risk factors for fracture and low BMD were analyzed. RESULTS: Mean BMD at the total hip and femoral neck was significantly lower in PsA patients than that in healthy controls (0.809 ± 0.193 vs. 0.901 ± 0.152 g/cm2, P  = 0.041; 0.780 ± 0.146 vs. 0.865 ± 0.166 g/cm2, P  = 0.037, respectively). Moreover, lumbar spine BMD was negatively correlated with psoriasis duration, swollen joint count and DAS28-CRP (r = -0.503, -0.580, -0.438; P < 0.05). Total hip BMD and femoral neck BMD were negatively correlated with HAQ (r = -0.521, -0.335; P < 0.05). Fractures occurred in 29 patients during the follow-up period. Logistic regression analysis showed that older age (OR 1.132 [95%CI: 1.026-1.248), P < 0.05], higher HAQ score (OR 1.493, 95%CI: 1.214-1.836, P < 0.01), higher disease activity index for psoriatic arthritis (OR 1.033, 95% CI: 1.002-1.679, P < 0.05) and hip joint involvement (OR 6.401, 95% CI: 4.012-44.180, P < 0.05) were risk factors for fracture in the multivariate model. CONCLUSIONS Increased risks of osteoporosis and fracture were found in PsA patients compared to healthy controls. Besides age, high disease activity and hip joint involvement were risk factors for decreased BMD and fracture.
Absorptiometry, Photon ; Aged ; Arthritis, Psoriatic/complications* ; Bone Density ; Humans ; Lumbar Vertebrae ; Osteoporosis/etiology* ; Osteoporotic Fractures ; Risk Factors

BACKGROUND: Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men. METHODS: We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat. RESULTS: Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes ("user group"; N = 347) were significantly larger than those who did not use such medication ("non-user group"; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199). CONCLUSION The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.
Absorptiometry, Photon ; Adiposity/physiology* ; Aged ; Aged, 80 and over ; Biomarkers/metabolism* ; Cardiometabolic Risk Factors ; Cross-Sectional Studies ; Humans ; Intra-Abdominal Fat/diagnostic imaging* ; Japan ; Male ; Osteoporosis/etiology* ; Prospective Studies ; Risk Assessment ; Risk Factors ; Thorax/diagnostic imaging*

BACKGROUND: The Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study was launched to investigate risk factors for osteoporotic fractures, interactions of osteoporosis with other non-communicable chronic diseases, and effects of fracture on QOL and mortality. METHODS: FORMEN baseline study participants (in 2007 and 2008) included 2012 community-dwelling men (aged 65-93 years) in Nara prefecture, Japan. Clinical follow-up surveys were conducted 5 and 10 years after the baseline survey, and 1539 and 906 men completed them, respectively. Supplemental mail, telephone, and visit surveys were conducted with non-participants to obtain outcome information. Survival and fracture outcomes were determined for 2006 men, with 566 deaths identified and 1233 men remaining in the cohort at 10-year follow-up. COMMENTS The baseline survey covered a wide range of bone health-related indices including bone mineral density, trabecular microarchitecture assessment, vertebral imaging for detecting vertebral fractures, and biochemical markers of bone turnover, as well as comprehensive geriatric assessment items. Follow-up surveys were conducted to obtain outcomes including osteoporotic fracture, cardiovascular diseases, initiation of long-term care, and mortality. A complete list of publications relating to the FORMEN study can be found at https://www.med.kindai.ac.jp/pubheal/FORMEN/Publications.html .
Aged ; Bone Density ; Cardiovascular Diseases/etiology* ; Cohort Studies ; Geriatric Assessment ; Humans ; Independent Living ; Japan/epidemiology* ; Long-Term Care/statistics & numerical data* ; Male ; Middle Aged ; Osteoporosis/etiology* ; Osteoporotic Fractures/etiology* ; Risk Factors

OBJECTIVES: To explore the risk factors for femoral neck fracture in elderly population. METHODS: A total of 124 elderly patients (≥60 years old) in hospital for trauma were enrolled, including 71 patients (57%) with femoral neck fracture and 53 non-femoral neck fracture patients (43%). All patients' age, gender, body mass index (BMI), bone mineral density (BMD), thigh length and average circumference were collected. Single factor analysis and multivariate logistic regression analysis were performed to explore whether the above factors were risk factors for femoral neck fracture. RESULTS: Single factor analysis showed that the age, gender, BMI, BMD, thigh length, and average thigh circumference between the 2 groups were statistically different (all CONCLUSIONS Older age, female, lower BMI index (low body weight), lower BMD (osteoporosis), longer thigh length, and lower average circumference are risk factors for femoral neck fracture in the elderly population.
Absorptiometry, Photon ; Aged ; Body Mass Index ; Bone Density ; Female ; Femoral Neck Fractures/etiology* ; Humans ; Middle Aged ; Osteoporosis ; Risk Factors

OBJECTIVE: To establish and evaluate the model of chronic obstructive pulmonary disease (COPD) with osteoporosis induced by elastase in mice. METHODS: Twenty four healthy female 8-week-old C57BL / 6 mice (weighing about 18 g) were randomly divided into three groups. The control group was given intratracheal drip of normal saline, the experimental group 1 and the experimental group 2 were given intratracheal drip of elastase, the control group and the experimental group 1 were kept for 8 weeks and then killed, the experimental group 2 was kept for 12 weeks and then killed. HE staining was used to evaluate the histopathological changes of lung and tibia in the control and experimental groups. The levels of serum inflammatory factors and broncho alveolar lavage factors (BALF) were detected by ELISA. Micro CT was used to detect the bone mass related parameters of mouse femur. The expression of osteoclastic and osteogenic genes was detected by real-time fluorescence quantitative PCR. RESULTS: Lung histopathology showed that the structure of alveoli in the experimental group was disordered, the walls of alveoli became thin or broken, and the alveoli cavity expanded. IL-6 and TNF-α in BALF were significantly higher than those in control group (<0.001), while IL-1β and TNF-α in serum inflammatory factors were significantly higher than those in control group (<0.001). BV / TV(bone volume fraction), TB.Th(average bone trabecular thickness) and TB.N(average bone trabecular number) in the experimental group were significantly lower than those in the control group (<0.05), TB.Sp (average bone trabecular separation) and BS / BV (bone surface area fraction) in the experimental group were significantly higher than those in the control group (<0.01). Compared with the control group, the expression of osteoclast related marker genes increased in the experimental group (<0.05), but decreased in the experimental group(<0.05). The results of experiment 1 and experiment 2 were time-dependent. CONCLUSION In this study, elastase was used to construct a COPD model with osteoporosis successfully, which provides a suitable animal model for the future study of the pathogenesis of COPD with osteoporosis.
Animals ; Bone Density ; Female ; Mice ; Mice, Inbred C57BL ; Osteoporosis ; etiology ; Pancreatic Elastase ; Pulmonary Disease, Chronic Obstructive ; complications