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 compare and analyze the feasibility of autologous facet joint bone block as an alternative to polyetheretherketone (PEEK) cage in lumbar intervertebral fusion surgery for patients with osteoporosis. METHODS: From December 2018 to June 2021, the case data of patients with osteoporosis (T value ≤ -2.5 on dual energy X-ray bone density) who underwent posterior lumbar interbody fusion in the Fourth Medical Center, Chinese PLA General Hospital were retrospectively reviewed. All the cases were followed up for no less than 12 months and were divided into two groups according to the differences of interbody fusion materials: the autologous facet joint bone block group (autogenous bone group) and the PEEK cage group (PEEK group). The general data [such as age, gender, body mass index (BMI), primary diagnosis, distribution of fusion segments, bone mineral density of lumbar (BMD), incidence of preoperative complications], the perioperative data (such as duration of operation, intraoperative blood loss, postoperative drainage, perioperative allogeneic blood transfusion rate), and the incidence of postoperative complications were compared between the two groups. Imaging parameters (disc height, lumbar lordosis angle, segment lordosis angle, segmental lordosis angle, disc height improvement rate, and fusion rate) and lumbar functional scores [visual analogue scale (VAS), Oswestry disability index (ODI), Japanese Orthopedics Association (JOA) score for lower back pain] were compared to evaluate the clinical efficacy between the kinds of intervertebral fusion materials 1 week, 3 months and 6 months postoperative and at the last follow-up. RESULTS: A total of 118 patients were enrolled, including 68 cases in the autogenous bone group and 50 cases in the PEEK group, there were no statistical differences in age, gender, BMI, primary diagnosis, distribution of fusion segments, BMD, incidence of preoperative complications, duration of operation, intraoperative blood loss, postoperative drainage, perioperative allogeneic blood transfusion rate, incidence of postoperative complications, all the preoperative imaging parameters and all the lumbar function scores between the two groups (P>0.05). Postoperative superficial surgical site infections occurred in 3 patients in the autogenous bone group and 2 patients in the PEEK group. At the last follow-up, 3 cases of intervertebral graft collapse occurred in the autogenous bone group and 5 cases in the PEEK group, 1 case of graft subsidence in the autogenous bone group and 1 case in the PEEK group. All the imaging parameters showed significant differences between postoperation and preoperation (P < 0.05), and all the imaging parameters showed significant differences between 1 week and 3 months postoperative in both groups (P < 0.05). The height, angle of fusion gap in the autogenous bone group were lower than those in the PEEK group 1 week postoperatively (P < 0.05), and the fusion gap height improvement rate in the autogenous bone group was lower than that in the PEEK group (P < 0.05). The cases in both groups started to show final fusion 3 months after surgery, and the fusion rate in the autogenous bone group was 75% 6 months postoperatively, which was significantly higher than the rate of 56% in the PEEK group (P < 0.05), and there was no statistically significant difference in the final fusion rate between the two groups (P>0.05). The ODI, the postoperative VAS score was significantly lower than that in preoperation, while the postoperative JOA score was significantly higher than that in preoperation (P < 0.05). The ODI was lower while the JOA score was higher of the autogenous bone group than that of the PEEK group 6 months postoperatively (P < 0.05). CONCLUSION In osteoporosis patients, good interbody fusion rate and improvement of lumbar vertebral function can be obtained by using autologous facet joint bone block or PEEK cage, while the fusion rate and the improvement of lumbar function with autologous facet joint bone block are better than those with PEEK cage 6 months post-operatively. PEEK cage is superior to autologous facet joint bone block in intervertebral distraction and improvement of lumbar lordosis. Significant disc space subsidence occurred in osteoporotic patients within 3 months after lumbar interbody fusion, and the subsidence of PEEK cage was more obvious than that of autologous facet joint bone block.
Humans ; Retrospective Studies ; Lordosis ; Zygapophyseal Joint ; Spinal Fusion/methods* ; Polyethylene Glycols/therapeutic use* ; Treatment Outcome ; Ketones ; Lumbar Vertebrae/surgery* ; Osteoporosis ; Blood Loss, Surgical ; Postoperative Complications ; Postoperative Hemorrhage

OBJECTIVE: To analyze the clinical features of overweight and obese rheumatoid arthritis (RA)patients, and the relationship between body mass index (BMI) and disease characteristics. METHODS: The demographic data, extra-articular manifestations, comorbidities, and disease activity of RA patients admitted to the Rheumatology and Immunology Department of Peking University Third Hospital from January 2015 to December 2020 were collected, and the above characteristics of overweight and obese RA patients were retrospectively analyzed. According to the WHO, BMI≥30 kg/m² referred to obese individuals, 25≤BMI < 30 kg/m² referred to overweight individuals, 18.5≤BMI < 25 kg/m² referred to normal individuals, BMI < 18.5 kg/m² referred to reduced body mass individuals. t test was used for the quantitative data in accordance with normal distribution. Wilcoxon rank sum test was used for the quantitative data of non-normal distribution. The qualitative data were analyzed by chi square test. But while 1≤theoretical frequency < 5, Chi square test of corrected four grid table was used. And Fisher exact probability method was used when theoretical frequency < 1. Analyzing whether overweight or obesity was associated with comorbidities using Logistic regression adjusted confounding factors. RESULTS: A total of 481 RA patients were included in this study, with an average BMI value of (23.28±3.75) kg/m².Of the patients, 31 cases (6.5%) were with BMI < 18.5 kg/m², 309 cases (64.2%) with 18.5≤ BMI < 25 kg/m², amounting to 340 cases (70.7%). There were 119 overweight individuals (25≤ BMI < 30 kg/m², 24.7%) and 22 obese individuals (BMI≥30 kg/m², 4.6%), totaling 141 (29.3%).The proportion of the overweight and obese RA patients suffering from hypertension (57.4% vs. 39.1%, P < 0.001), diabetes (25.5% vs. 15.0%, P=0.006), hyperlipidemia (22.7% vs. 10.9%, P=0.001), fatty liver (28.4% vs. 7.4%, P < 0.001), osteoarthritis (39.0% vs. 29.4%, P=0.040) was significantly higher, and the proportion of the patients with osteoporosis(59.6% vs. 70.9%, P=0.016) and anemia (36.2% vs. 55.6%, P < 0.001) was significantly lower. However, there was no difference between the two groups in coronary heart disease (5.7% vs. 7.6%, P=0.442), cerebrovascular disease (6.4% vs. 8.8%, P=0.372) and peripheral atherosclerosis (9.2% vs. 7.6%, P=0.565).The median C-reactive protein (CRP, 1.52 mg/dL vs. 2.35 mg/dL, P=0.008), median erythrocyte sedimentation rate (ESR, 34.0 mm/h vs. 50.0 mm/h, P=0.003), pain visual simulation score (VAS) (3.66±3.08 vs. 4.40±2.85, P=0.011), and 28 joint disease activity scores (DAS-28, 5.05±1.60 vs. 5.45±1.52, P=0.010) in the overweight and obese RA group were all lower than those in the normal and reduced weight groups. Multivariate regression analysis showed that overweight and obesity was an independent risk factor for hypertension, diabetes, hyperlipidemia and fatty liver, and had protective effects on osteoporosis and anemia. CONCLUSION In RA patients, RA disease activity is lower in overweight and obesity patients. Overweight and obesity is associated with hypertension, diabetes and hyperlipidemia, but not with cardiovascular and cerebrovascular diseases.
Humans ; Body Mass Index ; Overweight/epidemiology* ; Retrospective Studies ; Arthritis, Rheumatoid/epidemiology* ; Obesity/epidemiology* ; Diabetes Mellitus ; Hypertension/complications* ; Fatty Liver/complications* ; Hyperlipidemias/complications* ; Osteoporosis/complications* ; Anemia

OBJECTIVE: To review the research progress of Modic changes and its influence on lumbar interbody fusion. METHODS: The domestic and foreign literature related to Modic changes and its influence on lumbar interbody fusion was extensively reviewed. The etiology of Modic changes was summarized, and the treatment measures of Modic changes on lumbar interbody fusion were discussed. RESULTS: The etiology of Modic changes is not clear, which may be related to mechanical factors, autoimmune factors, low toxic infection factors, and genetic factors. Modic changes may lead to fusion failure and cage subsidence after lumbar interbody fusion. Preoperative evaluation of endplate sclerosis, reduction of iatrogenic endplate injury, fine operating of intervertebral space, management of osteoporosis, and selection of appropriate cage can prevent or reduce fusion failure or cage subsidence. CONCLUSION Modic changes may lead to fusion failure and cage subsidence after lumbar interbody fusion, and active perioperative intervention of Modic changes is helpful to improve the clinical prognosis.
Humans ; Lumbosacral Region/surgery* ; Osteoporosis ; Spinal Fusion ; Treatment Failure

OBJECTIVE: To explore and verify the genes related to female peak bone mass(PBM) and osteoporosis (OP) based on bioinformatics. METHODS: Using GEO data, DNA microarray technology to conduct genome-wide analysis of adult female monocytes with high and low PBM. Cluster analysis, GO enrichment and KEGG analysis were used to analyze the differential genes, and the interaction network of differential genes was further analyzed. OP rat model was established and femur neck tissue staining was performed to further verify the expression of differential genes. RESULTS: A total of 283 genes were obtained by differential gene screening. Compared with the high PBM samples, 135 genes were up-regulated and 148 genes were down-regulated in the low PBM samples. A total of 7 pathways and 12 differential genes were enriched, and there were differences in the expression of several genes involved in mineral absorption and transport, cellular immunity and other aspects. Among them, voltage-gated Ca²⁺ channel 1.3(CaV1.3) encoded by CACNA1D gene was significantly enhanced in the femoral neck tissue of OP rat model. CONCLUSION The above results suggest that the difference in the expression level of CaV1.3 gene may lead to the occurrence of OP in women with low PBM, which provides us with a potential target for the prevention and treatment of OP.
Adult ; Female ; Humans ; Animals ; Rats ; Osteoporosis/genetics* ; Bone Density ; Computational Biology ; Femur Neck ; Staining and Labeling

OBJECTIVE: To construct and evaluate nomogram prediction model for periprosthetic fractures in patients undergoing total hip arthroplasty (THA). METHODS: A total of 538 patients who underwent THA from April 2013 to February 2019 were selected as the research subjects, including 318 males and 220 females, aged 40 to 60 years old with an average age of (50.79±6.37) years old. All patients with THA were divided into non-fracture group (506 patients) and fracture group (32 pathents) according to the 3-year follow-up results. Univariate and multivariate Logistic regression analyses were performed to analyze the influencing factors of postoperative periprosthetic fractures in patients with THA. A nomogram prediction model for periprosthetic fractures in patients undergoing THA was constructed, and the validity and discrimination of the prediction model were evaluated. RESULTS: The proportion of patients with osteoporosis, trauma history, and hip revision in the fracture group were higher than those in the non-fracture group(P<0.05), and the proportion of bone cement prosthesis was lower than that in the non-fracture group(P<0.05). The osteoporosis status[OR=4.177, 95%CI(1.815, 9.617), P<0.05], trauma history[OR=7.481, 95%CI(3.104, 18.031), P<0.05], and hip revision[OR=11.371, 95%CI(3.220, 40.153, P<0.05] were independent risk factors for postoperative periprosthetic fractures in patients undergoing THA, cemented prosthesis [OR=0.067, 95%CI(0.019, 0.236), P<0.05] was an independent protective factor for postoperative periprosthetic fractures in patients undergoing THA(P<0.05). Hosmer-Lemeshow goodness of fit test showed that χ²=7.864, P=0.325;the area under the curve (AUC) for periprosthetic fractures in patients undergoing THA was 0.892 with a sensitivity of 87.5% and a specificity of 77.7% by receiver operating characteristic(ROC) curve. CONCLUSION The nomogram prediction model for periprosthetic fractures after THA constructed in this study has good discrimination, which is beneficial to clinical prediction of periprosthetic fractures in patients undergoing THA, and facilitates individualized fracture prevention.
Male ; Female ; Humans ; Adult ; Middle Aged ; Arthroplasty, Replacement, Hip/adverse effects* ; Periprosthetic Fractures/surgery* ; Nomograms ; Reoperation/adverse effects* ; Risk Factors ; Osteoporosis/surgery* ; Retrospective Studies ; Hip Prosthesis

Objective To identify immune-related dysregulation mechanisms and potential diagnostic predictive biomarkers in osteoporosis. Methods Gene expression data for both osteoporosis and control populations were retrieved from the GSE35958 and GSE56815 datasets. Immune-related differentially expressed genes (DEGs) were obtained by screening DEGs and were compared with the immunology database and analysis portal (ImmPort) database. Enrichment analysis of these immune-related DEGs was conducted using the Clusterprofiler software package. A protein-protein interaction network was built with the STRING database, which is a search tool for finding interacting genes/proteins, and the top 10 genes with the highest network connectivity were identified as candidate genes. Subsequently, the diagnostic predictive effect of candidate genes was evaluated using receiver operating characteristic (ROC) curves, logistic regression, and column plots. Finally, PCR and Western blot analysis were applied to detect the differential expression of these genes in bone marrow tissue of patients with osteoporosis. Results A total of 138 immune-related DEGs were obtained through intersection analysis. The results of the enrichment analysis indicated that these genes were involved in biological functions such as immune inflammation and signaling pathways including T cell receptors, mitogen activated protein kinase (MAPK), rat sarcoma virus oncogene homologs (Ras), osteoclast differentiation, and B cell receptors. In addition, among the candidate genes, upregulated vascular endothelial growth factor A (VEGFA) and epidermal growth factor receptor (EGFR) and downregulated AKT1, SRC, and JUN in osteoporosis showed the highest connectivity. Among them, VEGFA, EGFR, JUN, and AKT1 demonstrated the best diagnostic predictive value. Conclusion The screening of immune-related DEGs will enhance the understanding of osteoporosis and facilitate the development of immunotherapy targets.
Humans ; Vascular Endothelial Growth Factor A/genetics* ; Biomarkers ; Osteoporosis/genetics* ; Computational Biology/methods* ; ErbB Receptors/genetics* ; Gene Expression Profiling/methods*

The present study aimed to explore the main active components and potential mechanisms of Panax notoginseng saponins(PNS) and osteopractic total flavone(OTF) in the treatment of osteoporosis(OP) through network pharmacology, molecular docking and in vitro cell experiments, which was expected to provide a theoretical basis for clinical applications. The blood-entering components of PNS and OTF were obtained from literature search and online database, and their potential targets were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) and SwissTargetPrediction. The OP targets were obtained by means of searching Online Mendelian Inheritance in Man(OMIM) and GeneCards. The common targets of the drug and disease were screened by Venn. Cytoscape was used to construct a "drug-component-target-disease" network, and the core components were screened according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened according to the node degree. GO and KEGG enrichment analysis of potential therapeutic targets were carried out by R language. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock Vina. Finally, HIF-1 signaling pathway was selected for in vitro experimental verification according to the results of KEGG pathway analysis. Network pharmacology showed that there were 45 active components such as leachianone A, kurarinone, 20(R)-protopanaxatriol, 20(S)-protopanaxatriol, and kaempferol, and 103 therapeutic targets such as IL6, AKT1, TNF, VEGFA and MAPK3 involved. PI3K-AKT, HIF-1, TNF and other signaling pathways were enriched. Molecular docking revealed that the core components had good binding ability to the core targets. In vitro experiments found that PNS-OTF could up-regulate the mRNA expression levels of HIF-1α, VEGFA and Runx2, indicating that the mechanism of PNS-OTF in treating OP may be related to the activation of HIF-1 signaling pathway, and thus PNS-OTF played a role in promoting angiogenesis and osteogenic differentiation. In conclusion, this study predicted the core targets and pathways of PNS-OTF in treating OP based on network pharmacology and carried out in vitro experimental verification, which reflected the characteristics of multi-component, multi-target and multi-pathway synergy of PNS-OTF, and provided new ideas for the future clinical treatment of OP.
Humans ; Molecular Docking Simulation ; Network Pharmacology ; Osteogenesis ; Phosphatidylinositol 3-Kinases ; Osteoporosis ; Databases, Genetic

OBJECTIVE: To explore the characteristics of comorbidities in patients with osteoporosis(OP) and factors associated health-related quality of life, so as to provide decision-making reference for improving the ability of disease co-prevention and co-treatment and the patient's life-cycle quality of life. METHODS: From November 2017 to July 2018, clinical information and biological samples from residents in 10 communities in Chaoyang District and Fengtai Distric of Beijing were collected, and bone density testing was conducted. Based on the Charlson comorbidity index (CCI), the comorbidity of the population was quantified, and grouped according to factors such as gender, age, and the differences between the groups were explored. Combined with the clinical information of patients, the difference characteristics of comorbidity and non-comorbidity population were analyzed. Pearson/Spearman correlation analysis and binary Logistic regression analysis were used to explore the factors affecting the health-related quality of life in patients with OP. RESULTS: Among the 521 OP patients, 121 patients had no comorbidities, and there were 153, 106, 65, and 30 patients with one, two, three, and four comorbidities, respectively, 46 patients with 5 or more kinds of comorbidites. Hypertension was the most common comorbidity in OP patients, accounting for 21.60%;followed by hyperlipidemia, accounting for 13.51%. The most common combination of the two diseases was hypertension plus hyperlipidemia (64 cases, 12.28%). Through the analysis of differences between age groups, it was found that the older patients, showed higher the CCI, and the difference between groups was statistically significant(Z=1.93, P=0.05). There were significant differences in the total EQ-5D score and the dimensions of anxiety and depression between patients with comorbidities (CCI≠0) and non-comorbidities (CCI=0) (Z=-2.67, P=0.01;Z=-2.44, P=0.02). Correlation analysis found that CCI, history of fracture, history of falls, hip bone mineral density T value and parathyroid hormone were all related to the health-related quality of life in OP patients (P<0.05). Binary Logistic regression analysis suggested that the right hip bone mineral density T value (P=0.02), CCI (P=0.01), fracture history (P=0.03) and fall history (P=0.01) were the risk factors that affect the health-related quality of life in OP patients. CONCLUSION The burden of comorbidities among middle-aged and elderly OP populations in Beijing is relatively heavy, and the health management of such populations should be further strengthened, specifically the combination of multiple comorbidities should be given high priority. Comorbid factors are of great importance for the diagnosis and treatment strategy of OP patients, which could further improve the quality of life.
Aged ; Middle Aged ; Humans ; Quality of Life ; Osteoporosis/epidemiology* ; Comorbidity ; Risk Factors ; Fractures, Bone ; Hypertension/epidemiology*

OBJECTIVE: To determine whether resveratrol (Res) can correct osteoporosis induced in a rat model of male hypogonadism. METHODS: Thirty-two rats were randomly divided into 4 groups, 8 in each group; 1) a control sham group: underwent a similar surgical procedure for induction of orchiectomy (ORCD) without ligation of any arteries or veins or removal of the testis and epididymis; 2) a control + Res-treated group (Con+Res): underwent sham surgery similar to the control, but was then treated with Res, as described below; 3) an ORCD-induced group: bilateral ORCD surgery as described above, and 4) a ORCD+Res-treated group: bilateral ORCD surgery followed by Res treatment. Res treatment began 4 weeks after ORCD and continued for 12 weeks. After 12 weeks, bone mineral density (BMD) and bone mineral content (BMC) were measured in the tibia and femur of each rat's right hind leg. Blood levels of bone turnover indicators such as deoxypyridinoline (Dpd), N-telopeptide of type I collagen (NTX I), alkaline phosphatase (ALP), and osteocalcin (OC), as well as receptor activator of nuclear factor kappa B (RANK) and osteoprotegerin (OPG) were assessed. RESULTS: ORCD significantly decreased BMD (P<0.01) and significantly increased bone resorption, manifested by increased RANK. In addition, it inhibited serum levels of OPG and OC. Res treatment after ORCD effectively increased serum levels of bone formation markers such as OPG and OC, compared with testisectomized rats (P<0.05). CONCLUSION Res could ameliorate bone loss induced by male hypogonadism, possible via restoration of the normal balance between RANK and OPG.
Rats ; Male ; Animals ; Bone Density ; Resveratrol/pharmacology* ; Osteoporosis ; Osteoprotegerin/pharmacology* ; Bone Remodeling ; Hypogonadism ; RANK Ligand/pharmacology*