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: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.

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:The quadriceps strength of patients with osteoporosis and sarcopenia is significantly reduced,which can further reduce the function of the knee joint,affect the function of the lower limbs and even lead to a decrease in whole-body coordination.It is speculated that a reasonable quadriceps training program and personalized guidance are beneficial to the recovery of knee joint function in patients with osteoporosis and sarcopenia.OBJECTIVE:To observe the effect of short-term moderate-intensity resistance rehabilitation training on the mass and function of the quadriceps and knee joint function in patients with osteoporosis and sarcopenia.METHODS:Using the integrated physical examination and rehabilitation model,375 patients with osteoporosis and sarcopenia were screened at the Health Management Center of Shanghai Public Health Clinical Center.They underwent 12 weeks of combined/comprehensive exercise rehabilitation based on resistance exercise,including quadriceps resistance isotonic and isometric contraction training twice a week(3-5 sets each time,10-15 minutes per set)and aerobic exercise/balance exercise two or three times a week(30 minutes each time).Assessments and data collection were performed before rehabilitation training,12 weeks after rehabilitation training,and at follow-up 12 weeks after stopping rehabilitation training,mainly including knee joint range of motion and proprioception,quadriceps muscle strength,and cross-sectional area(magnetic resonance imaging results),pain,knee joint function(Hospital for Special Surgery score)and walking function("up-and-go"time and 6 m pace test results)as well as the patient's psychological status assessment.RESULTS AND CONCLUSION:All 375 patients completed 12 weeks of rehabilitation training and 12 weeks of follow-up without any adverse events.(1)Compared with before training,the patients' gait speed and knee range of motion increased significantly after 12 weeks of rehabilitation training(P＜0.01),the time of"stand-to-walk"decreased(P＜0.01),and the proprioception of the knee joint and the strength of the quadriceps femoris were significantly improved(P＜0.01);and at the follow-up visit 12 weeks after stopping training,the above indicators and functions of the patients were well maintained(P＞0.05).(2)Magnetic resonance imaging results showed that the effective cross-sectional area of the quadriceps femoris did not improve significantly after 12 weeks of rehabilitation training(P＞0.05);but the Hospital for Special Surgery score of knee joint function increased significantly(P＜0.01),and the visual analog pain scale score decreased significantly(P＜0.01),suggesting that this may be related to the improvement of quadriceps femoris quality by resistance rehabilitation training.(3)The results of the Hospital Anxiety and Depression Scale score showed that the anxiety and depression scores of the patients continued to decrease,both at 12 weeks of rehabilitation training and at 12 weeks after stopping training(P＜0.01).It is suggested that resistance rehabilitation training of the quadriceps can help patients with osteoporosis and sarcopenia to restore quadriceps muscle strength,increase range of motion,improve proprioception and joint stability,thereby enhancing knee joint function,reducing pain,improving depression and anxiety,and to a certain extent promoting the coordinated recovery of the musculoskeletal system.

BACKGROUND:The pathogenesis of steroid-induced osteonecrosis of the femoral head is complex,involving vascular endothelial injury,osteocyte apoptosis,inflammatory responses,and bone metabolism disorders.MicroRNAs(miRNAs),as key regulators of gene expression,play an important role in steroid-induced osteonecrosis of the femoral head.OBJECTIVE:To comprehensively analyze the regulatory role of miRNAs in steroid-induced osteonecrosis of the femoral head and to evaluate their potential as biomarkers and therapeutic tools.METHODS:Relevant literature was retrieved from PubMed,Web of Science,CNKI,and WanFang databases using specific keywords,and articles were selected based on the inclusion and exclusion criteria.By reading titles,abstracts,or full texts,articles with poor relevance or repetitive content were excluded,and 76 articles were finally included for analysis.RESULTS AND CONCLUSION:miRNAs regulate gene expression by binding to the 3'untranslated region of target mRNAs,affecting cell differentiation,proliferation,apoptosis,and stress responses.Specific miRNAs such as miR-33-5p,miR-99a,miR-106b-5p,miR-155,miR-146a,and miR-21 play a central regulatory role in vascular injury,inflammatory responses,osteocyte differentiation,and apoptosis in steroid-induced osteonecrosis of the femoral head.Additionally,the expression patterns of miRNAs are closely related to the pathogenesis of steroid-induced osteonecrosis of the femoral head,showing potential as biomarkers.Although miRNAs shows great potential as biomarkers in therapeutic strategies,the current limitation of sample size and lack of multi-population validation restrict the universality and reliability of the results.Moreover,the efficacy and safety of miRNA therapeutic strategies(including off-target effects and delivery issues)remain major challenges in realizing clinical applications.

Objective To explore the clinical efficacy of robot-assisted coronary artery bypass grafting through a small incision in the left intercostal space in the treatment of multivessel coronary disease. Methods A retrospective analysis was conducted on the clinical data of patients who underwent coronary artery bypass grafting through a small incision in the left intercostal space at Central China Fuwai Hospital of Zhengzhou University from January 1, 2023 to October 15, 2024. Patients were divided into a robotic group and a minimally invasive group based on whether the surgery was assisted by the Da Vinci robot. Results A total of 81 patients were included, with 57 in the minimally invasive group, including 41 males and 16 females, with a median age of 65.0 (57.5, 69.5) years; and 24 in the robotic group, including 17 males and 7 females, with a median age of 61.0 (56.0, 69.0) years. There was no statistically significant difference in baseline data between the two groups (P>0.05). The robotic group had less intraoperative bleeding [300 (200, 438) mL vs. 500 (375, 600) mL, P=0.006], shorter postoperative mechanical ventilation time [15.0 (13.3, 23.5) h vs. 22.0 (15.5, 39.5) h, P=0.037], and lower incidence of postoperative pain [8 (33.3%) vs. 33 (57.9%), P=0.043]. The hospitalization cost in the robotic group was higher than that in the minimally invasive group [130491 (123298, 135691) yuan vs. 123892 (115543, 133449) yuan, P=0.023]. There was no statistical difference in postoperative laboratory indicators between the two groups (P>0.05). There was also no statistical difference in the duration of surgery, postoperative 24 h drainage volume, ICU stay time, postoperative hospital stay or incidences of perioperative compications including pleural effusion, transfusion, new-onset atrial fibrillation, acute kidney injury, non-union of incision, major cardiovascular and cerebrovascular adverse events, and reoperation between the two groups (P>0.05). Conclusion Compared with the minimally invasive group, the robotic group shows satisfactory efficacy and can effectively reduce postoperative pain and intraoperative bleeding, and shorten postoperative mechanical ventilation time.

Objective: To investigate the current status of screening myopia and anxiety symptoms and associated factors among junior and senior high school students in Beijing, so as to provide evidence for myopia prevention and control and the improvement of mental health among adolescents. Methods: From September to November 2024, a total of 17 245 junior high schools, general senior high schools and vocational high schools from 16 districts in Beijing were enrolled by stratified cluster sampling method. Questionnaire surveys and vision screening were conducted to collect data on anxiety symptom and screening diagnosed myopia. The Chi square test was used to analyze the co-occurrence of myopia and anxiety symptoms, and binary Logistic regression analysis was adopted to explore the related factors of the co-occurrence. Results: The overall detection rate of cooccurrence screening myopia and anxiety symptoms among Beijing junior and senior high school students was 6.00%. The detection rate was higher in females ( 7.15 %) than in males (4.90%), higher in urban areas (6.65%) than in suburban areas (5.41%), and higher in general senior high school students (7.61%) than in vocational high school students (6.46%) and junior high school students (4.65%). All differences were statistically significant ( χ 2=38.49, 11.66, 54.88, all P <0.01). Binary Logistic regression analysis showed that female gender ( OR =1.43), general senior high school ( OR =1.60), vocational high school ( OR =1.59), daily sugar sweetened beverage intake ( OR =1.66), participation in academic extracurricular classes in preschool ( OR =1.30), electronic screen use for more than 2 hours per day ( OR =1.21), and insufficient sleep ( OR =2.41) were associated with an increased risk of co-occurring screening diagnosed myopia and anxiety symptoms (all P <0.05). Conclusions The co-occurrence of screening diagnosed of myopia and anxiety symptoms among junior and senior high school students in Beijing is common. Female gender, senior high school students, and unhealthy lifestyle behaviors are all risk factors for the co-occurrence of myopia and anxiety symptom. Comprehensive intervention measures can be adopted to simultaneously promote vision protection and mental health among junior and senior high school students.

Based on the theory of "yang governs and yin follows"， it is believed that pediatric obesity is primarily involves the key pathogenesis of constraint and stagnation due to yang deficiency， and the excessive accumulation of yin turbid. The root cause lies in the spleen-stomach yang deficiency and impaired digestion and transformation， while the branch manifestation is characterized by constraint and stagnation in sanjiao （三焦） and excessive accumulation of yin turbid. This emphasizes the imbalance between the governing function of yang qi and the transformation mechanism of yin essence in the overall pathological process. Accordingly， the treatment approach of reinforcing yang and unblocking stagnation， inhibiting yin and resolving turbid has been proposed. And a comprehensive treatment plan is suggested， including abdominal tuina combined with spinal manipulation， timed acupuncture according to the the eightfold method of the sacred tortoise， syndrome differentiation-based acupuncture， and mild moxibustion. This approach aims to provide an integrated approach for the prevention and treatment of pediatric obesity.

Objective To explore the risk prediction model of major adverse cardiovascular events (MACE) in community patients with hypertension based on remote ambulatory blood pressure parameters. Methods From November 2023 to October 2024, 486 community patients with hypertension who received standardized management in Nanjing Medical University Affiliated to Suzhou Hospital were retrospectively selected. All patients wore remote ambulatory blood pressure monitor to obtain 24-hour ambulatory blood pressure data. Clinical data were collected and remote ambulatory blood pressure parameters [24-hour systolic blood pressure variability (SBPV), 24-hour diastolic blood pressure variability (DBPV), nighttime SBPV, nighttime DBPV, daytime SBPV, daytime DBPV] were extracted. The patients were followed up for 12 months, and were classified into MACE group (n=42) and non-MACE group (n=444) according to whether MACE occurred during follow-up. Multivariate Logistic regression analysis was adopted to screen the influencing factors for MACE. Based on the above factors, a risk prediction model was constructed and verified by receiver operating characteristic (ROC) curve. Results MACE occurred in 42 cases among 486 patients, with an incidence rate of 8.64%. Multivariate Logistic regression analysis suggested that nighttime DBPV (OR=1.119, 95%CI: 1.030-1.214), 24h-SBPV (OR=1.115, 95%CI: 1.007-1.235), nighttime SBPV (OR=1.116, 95%CI: 1.016-1.226) and diabetes mellitus (OR=2.762, 95%CI: 1.059-7.203) were independent factors for MACE (P<0.05). The model validation results revealed that the area under the ROC curve was 0.905 (95%CI: 0.854-0.956 ), and the model had a good discrimination degree. Conclusion Nighttime DBPV, 24h-SBPV, nighttime SBPV and diabetes mellitus are independent risk factors for MACE in community patients with hypertension. The clinical prediction model based on these variables exhibits certain predictive value on MACE risk.

Antimicrobial resistance (AMR) poses a critical global health threat. This review systematically examines AMR surveillance technology advances, from conventional culture methods to modern molecular diagnostics (e.g., whole-genome sequencing) and artificial intelligence-assisted approaches. It focuses on the current application of mass spectrometry, machine learning predictive models, and real-time surveillance networks. To address challenges including inadequate technical standardization, clinical translation barriers, and data-sharing limitations, we propose integrated ^"genotype-phenotype^" strategies and global standardization framework, while exploring future applications of CRISPR-based portable detection, single-cell sequencing, and blockchain technologies.