BACKGROUND:Lumbar degenerative disease is a disease of the musculoskeletal system that primarily affects the intervertebral structures,and the disease is treated with lumbar fusion and disc replacement.OBJECTIVE:To conduct comparative analysis of the differences between lumbar fusion,mechanical lumbar disc prosthesis replacement,and viscoelastic lumbar disc prosthesis replacement.METHODS:The computerized tomography images of a healthy adult were used to construct a finite element model of the L2-L5 normal lumbar spine with Mimic,Geomagic,and Ansys software.The equipment required for lumbar fusion and lumbar spine replacement was constructed using modeling software,and the L3-L4 segment of the lumbar spine was processed according to the surgical requirements for lumbar fusion and intervertebral disc replacement,creating the corresponding finite element model.Specific boundary conditions were applied to extract the mobility of each lumbar spine segment,the stresses on the neighboring intervertebral discs,and the stresses on the prosthesis lining.RESULTS AND CONCLUSION:(1)Compared with the preoperative period,the maximum stress in the upper neighboring discs increased by 64.09％and 39.79％in the forward flexion and lateral bending states if the original mobility was maintained after lumbar fusion surgery.The maximum stress in the lower neighboring discs increased by 24.39％and 20.98％in forward flexion and lateral bending.This suggested that the upper adjacent discs would suffer greater stress changes than the lower adjacent discs during heavy physical labor.(2)Disc replacement did not show significant changes in adjacent disc stress,with mechanical prosthesis replacement slightly reducing adjacent disc stress,while viscoelastic prosthesis replacement was more in line with the biological properties of the disc,with maximum adjacent disc stress similar to that of the preoperative period.(3)In terms of stability,the mechanical prosthesis replacement segment showed a 51.67％increase in range of motion in the lateral bending state and a 53.27％increase in range of motion in the posterior extension state,whereas the viscoelastic prosthesis was better able to maintain mobility in the replacement segment.(4)In addition,the stresses in the liner of the mechanical prosthesis were mainly concentrated in the edge region,and this stress distribution may lead to edge wear and thus affect the service life of the prosthesis.

BACKGROUND:The titanium alloy bone trabecular bone socket cup prosthesis printed by 3D technology has superior biological characteristics,which helps to promote osteogenic differentiation of stem cells.The Kidney Tonifying and Blood Activating Decoction has the functions of tonifying the kidneys,strengthening tendons,promoting blood circulation,and relieving pain.However,the application of the combination of the two in elderly hip arthroplasty is rarely reported.OBJECTIVE:To evaluate the application value and safety of 3D printed titanium alloy bone trabecular cup prosthesis combined with modified Kidney Tonifying and Blood Activating Decoction in elderly hip arthroplasty.METHODS:A total of 200 elderly patients who received hip arthroplasty in Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine from January 2022 to January 2024 were selected and randomly divided into control group(n=100)and trial group(n=100).The control group underwent Pinnaele cup prosthesis hip arthroplasty combined with modified Kidney Tonifying and Blood Activating Decoction,while the trial group underwent 3D printed titanium alloy bone trabecular cup prosthesis hip arthroplasty combined with modified Kidney Tonifying and Blood Activating Decoction.The medication was taken continuously for 1 week before hip arthroplasty and for 4 weeks after arthroplasty.The differences in pain,swelling,hemorheology,inflammatory factors,bone metabolism,intra-articular stress,and hip abduction muscle strength were compared between the two groups to evaluate the clinical efficacy and safety of the two treatment options.RESULTS AND CONCLUSION:(1)Four weeks after surgery,the pain visual analog scale score,limb swelling,whole blood viscosity,and plasma viscosity of the trial group were lower than those of the control group(P＜0.05).The interleukin-6 level of the trial group was lower than that of the control group,and the interleukin-10 level was higher than that of the control group(P＜0.05).The levels of type Ⅰ collagen carboxyl terminal peptide β specific sequence and tartrate-resistant acid phosphatase 5b in the trial group were lower than those in the control group,while the levels of osteocalcin,bone-specific phosphatase and typeⅠ procollagen amino-terminal propeptide were higher than those in the control group(P＜0.05).The intra-articular stress and hip abduction muscle strength in the trial group were higher than that of the control group(P＜0.05).(2)Three months after surgery,the excellent and good treatment rate in the trial group was higher than that in the control group,and the incidence of safety evaluation events such as postoperative incision hematoma and infection was lower than that in the control group(P＜0.05).(3)It suggests that 3D printed titanium alloy trabecular acetabular cup prosthesis combined with modified Kidney Tonifying and Blood Activating Decoction can improve the blood rheology of elderly patients with hip arthroplasty,inhibit inflammatory response,reduce postoperative pain and swelling,and enhance bone metabolism,thereby promoting postoperative hip joint function recovery,and reducing the incidence of adverse events,with high safety.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:Pediatric flexible flatfoot is a common foot deformity that often leads to foot pain and reduced quality of life.OBJECTIVE:To explore the relationship between radiographic parameters and clinical efficacy of subtalar arthroereisis in the treatment of pediatric flexible flatfoot.METHODS:A retrospective study was conducted on 56 pediatric patients(mean age of 11.8 years)who underwent subtalar arthroereisis at Guangzhou Orthopedic Hospital between January 2022 and May 2023.All patients underwent detailed radiographic examinations and clinical evaluations before and after surgery,including the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score and Visual Analog Scale score.Paired t-tests and independent t-tests were used to compare changes in radiographic parameters and clinical scores before and after surgery.Correlation analyses were conducted to evaluate the relationship between radiographic parameters and clinical outcomes.RESULTS AND CONCLUSION:(1)All radiographic parameters significantly improved during the 8 to 12-month follow-up after surgery(P＜0.001).(2)Clinical evaluation results indicated that the American Orthopaedic Foot & Ankle Society Ankle-Hindfoot score significantly improved from 66.2±6.0 preoperatively to 91.3±5.8 postoperatively,and the Visual Analog Scale score significantly decreased from 3.1±0.8 preoperatively to 1.3±0.8 postoperatively(P＜0.001).(3)Independent t-tests showed a significant difference in postoperative the first metatarsal angle and Visual Analog Scale score grades(P=0.043),with a smaller the first metatarsal angle associated with less postoperative pain;preoperative lateral arch angle showed a significant difference between the"excellent"and"good"groups in postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot scores(P=0.033),suggesting that a smaller preoperative posterior arch angle might predict better postoperative foot function recovery.(4)Correlation analysis showed that preoperative posterior arch angle(r=-0.486,P＜0.01)and heel pitch angle(r=-0.344,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,while preoperative medial longitudinal arch angle(r=0.293,P＜0.05)was significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.Postoperative medial longitudinal arch angle(r=0.331,P＜0.05)and lateral arch angle(r=0.387,P＜0.01)were significantly positively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot,whereas postoperative Bohler's angle(r=-0.272,P＜0.05),posterior arch angle(r=-0.461,P＜0.01),and heel pitch angle(r=-0.318,P＜0.01)were significantly negatively correlated with postoperative American Orthopaedic Foot & Ankle Society Ankle-Hindfoot.(5)It is concluded that subtalar arthroereisis is significantly effective in correcting pediatric flexible flatfoot,and improvements in radiographic parameters are closely related to clinical efficacy.Preoperative and postoperative radiographic evaluations can serve as important reference indicators for predicting postoperative clinical outcomes,guiding clinicians to optimize treatment plansand rehabilitation programs.

BACKGROUND:Steroid-induced osteonecrosis of the femoral head(SANFH)is a severe orthopedic disease characterized by interruption of the blood supply to the femoral head and necrosis of subchondral bone,leading to joint dysfunction.Long-term use of glucocorticoids is the main cause of SANFH,and its pathogenesis involves multiple factors,including intravascular coagulation and osteocyte apoptosis.Vascular endothelial growth factor A(VEGF-A),as a key angiogenic factor,has potential value in the treatment of SANFH.OBJECTIVE:To summarize the mechanisms of action of VEGF-A in SANFH,including its progress in promoting angiogenesis,anti-apoptosis,and lipid metabolism regulation,and to discuss the prospects for clinical application of VEGF-A targeted therapy.METHODS:Literature related to VEGF-A targeted regulation of angiogenesis in the treatment of SANFH was identified through searches of PubMed,Web of Science,CNKI,and WanFang databases from database inception to November 2024.After quality assessment,71 articles were selected,data were extracted by independent researchers,and disagreements were resolved through group discussions.RESULTS AND CONCLUSION:(1)VEGF-A binds to its receptors VEGFR-1 and VEGFR-2,activating downstream signaling pathways that promote the proliferation,migration,and angiogenesis of endothelial cells.Therefore,it can promote the formation of collateral circulation and improve blood supply to the area of bone necrosis.(2)Reduced expression of VEGF-A may lead to a decrease in the number of blood vessels within bone tissue,exacerbating the ischemic state of the femoral head.Furthermore,VEGF-A has anti-apoptotic effects and reduce apoptosis in osteocytes and bone marrow cells,thus protecting bone tissue.(3)The role of VEGF-A in regulating lipid metabolism and inflammatory responses,as well as promoting the osteogenic differentiation of bone marrow mesenchymal stem cells,provides a new perspective for the treatment of SANFH.(4)The development of VEGF-A protein delivery systems,such as lipid nanoparticles and exosome-based delivery systems,offers new possibilities for the clinical application of VEGF-A.(5)The research progress of VEGF-A in SANFH treatment has laid a solid foundation for the development of new treatment strategies and has opened up new avenues for future research directions and clinical applications.(6)With further clarification of the mechanisms of action of VEGF-A and continuous advancements in delivery technologies,more effective treatments will be provided for SANFH patients,improving their prognosis.

BACKGROUND:The pathogenesis of nontraumatic necrosis of the femoral head is still unclear.Among them,the lipid metabolism disorder is an important hypothesis of the cause of nontraumatic necrosis of the femoral head.Regulating blood lipid metabolism to inhibit the progression of femoral head necrosis has become an important method for the treatment of nontraumatic femoral head necrosis.OBJECTIVE:To review the research progress in the relationship between nontraumatic necrosis of the femoral head and lipid metabolism disorder and the treatment of nontraumatic necrosis of the femoral head.METHODS:Using"osteonecrosis of femoral head,nontraumatic osteonecrosis of femoral head,femoral head necrosis,osteonecrosis and lipid,lipid metabolism osteonecrosis,polymorphisms osteonecrosis of femoral head,pathway osteonecrosis of femoral head,steroid-induced osteonecrosis of the femoral head,alcohol-induced osteonecrosis of femoral head"as Chinese and English search terms,relevant articles were searched on CNKI,WanFang databases,Yiigle,and PubMed databases.Finally,104 articles were included for summarization.RESULTS AND CONCLUSION:(1)Patients with femoral head necrosis are often accompanied by dyslipidemia.It was found that high total cholesterol,high triglyceride,high low-density lipoprotein cholesterol,high apolipoprotein B,low low-density lipoprotein cholesterol and low apolipoprotein were the risk factors causing necrosis of the femoral head.In patients with different triggers of femoral head necrosis,blood lipid levels are usually different.(2)Hormone and alcohol,as the two major causes of nontraumatic necrosis of the femoral head,can induce adipogenic differentiation of bone marrow mesenchymal stem cells,increase the number of fat cells in the bone marrow cavity,and accumulate fat droplets,ultimately leading to necrosis of the femoral head.(3)Many adipokines and molecules related to lipid metabolism,such as adiponectin,leptin,lipid carrier protein 2,etc.have been confirmed to be related to femoral head necrosis.(4)Some signaling pathways,such as peroxisome proliferator-activated receptor γ,wnt/β-catenin and adenosine activated protein kinase,can change the osteogenic and adipogenic differentiation potential of bone marrow mesenchymal stem cells,and thus participate in the occurrence and development of necrosis of the femoral head.Lipid metabolism signaling pathways,such as phosphatidylinositol 3 kinase/protein kinase Band bone morphogenetic protein 2,are also related to necrosis of the femoral head,which may affect the progression of femoral head necrosis through the regulation of lipid metabolism.(5)Studies have found that cordycepin,Panax notoginseng saponins,gushiling capsule and other Chinese medicines,as well as statins can achieve the therapeutic effect on nontraumatic necrosis of the femoral head by improving lipid metabolism disorder.

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

BACKGROUND:Ankylosing spondylitis is closely related to the occurrence and development of psoriasis,but the key genes and regulatory mechanisms are still unclear.OBJECTIVE:To establish an artificial neural network model of genes shared by ankylosing spondylitis and psoriasis based on the GEO database and evaluate its effect,and also to determine whether there is a causal relationship between the expression of key genes and the two diseases using Mendelian randomization.METHODS:Datasets GSE25101(816 ankylosing spondylitis samples and 816 healthy control samples),GSE30999(85 psoriasis samples and 85 healthy control samples),GSE73754(52 ankylosing spondylitis samples and 20 healthy control samples),and GSE14905(33 psoriasis samples and 49 healthy control samples)were downloaded from the GEO database.GSE25101 and GSE30999 were used as the training datasets of ankylosing spondylitis and psoriasis,respectively,and their respective differentially expressed genes were identified through difference analysis to obtain the common driver genes of the two diseases,and the key core genes were further screened out based on Mendelian randomization.The key core genes were further screened out,and artificial neural network models were constructed based on the key core genes and validated in external datasets GSE73754 and GSE14905,followed by the construction of the corresponding nomogram to predict the incidence rates of the diseases.Also,the results of immune infiltration in ankylosing spondylitis and psoriasis were analyzed.Finally,Mendelian randomization was used to assess causal relationships between key genes and diseases,and drug-gene interactions were analyzed using the Dgidb database to predict drug targets.RESULTS AND CONCLUSION:(1)A total of 61 differential genes were obtained in ankylosing spondylitis and 4 309 differential genes were obtained in psoriasis.Eight shared differential genes were obtained after intersection,and five key genes(DNMT1,GNG11,CDC25B,S100A8,and S100A12)were further screened by machine learning.The key genes were utilized to build artificial neural network models of ankylosing spondylitis and psoriasis,with the area under curve values of 0.979 and 0.989 in the training sets GSE25101 and GSE30999,respectively,and 0.818 and 0.874 in the external validation datasets GSE73754 and GSE14905,respectively.(2)Nomogram was constructed based on the five core genes,and the calibration curves showed that the predicted probabilities of the nomogram models were almost the same as that of the ideal model.Immune cell infiltration showed that the key genes were associated with activated B cells,natural killer cells,γδ T cells,follicular helper T cells,monocytes,plasma cell-like dendritic cells,and neutrophils.Mendelian randomization showed that S100A8 was a risk factor for the occurrence of ankylosing spondylitis and psoriasis.Finally,DGldb screening was utilized to obtain 81 targeted drugs,only 16 of which,including methotrexate,atogepant,ubrogepant,rimegepant,eptinezumab,azacitidine,selenium,hydroxyurea,ifosfamide,floxuridine,curcumin,mitoxantrone,cisplatin,arsenic trioxide,diethylstilbestrol,and decitabine,were approved by the U.S.Food and Drug Administration.(3)A large number of successful cases have been accumulated in international databases,research results and data analysis of European groups,especially in genomics and disease phenotyping studies.These experiences provide valuable references for the epidemiological characterization of diseases in China,genetic diversity and their response to the environment and lifestyle.(4)An artificial neural network model of the common driver genes of ankylosing spondylitis and psoriasis was constructed and validated,the causal relationship between the key genes and the pathogenesis of the two diseases was discovered,and the targeted drugs for potential treatments were predicted,which hopefully provides a new perspective for exploring their pathogenesis and therapeutic directions.

BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.