OBJECTIVE: To evaluate the early effectiveness of transosseous suture fixation in treating recurrent acute patellar dislocation with patellar osteochondral fractures (OCFs). METHODS: A retrospective analysis was conducted on 19 patients with recurrent acute patellar dislocation and patellar OCFs, who underwent transosseous suture fixation between January 2018 and December 2022 and were followed up 2 years. The cohort included 8 males and 11 females, aged 13-21 years (mean, 16.2 years). Patients experienced 2-5 times of patellar dislocation (mean, 3.2 times). The interval from the last dislocation to operation ranged from 3 to 15 days (mean, 9.6 days). Preoperative imaging revealed the intra-articular osteochondral fragments and medial patellofemoral ligament (MPFL) injury. Clinical outcomes were evaluated using the visual analogue scale (VAS) score for pain, the International Knee Documentation Committee (IKDC) score, the Hospital for Special Surgery (HSS) knee score, the Lysholm score, and the Tegner score. Postoperative complications were recorded. During follow-up, the knee X-ray films, CT, and MRI were taken to evaluate fragment healing, displacement, and the morphology and tension of the MPFL reconstruction graft. RESULTS: All incisions healed primarily, and no complication occurred such as infection, joint stiffness, patellofemoral arthritis, or redislocation. Patients were followed up 24-60 months (mean, 43.5 months). At 12 months postoperatively and the last follow-up, significant improvements ( P<0.05) were observed in VAS, Lysholm, IKDC, HSS, and Tegner scores compared to preoperative values. Further improvements were observed at last follow-up compared with the 12 months postoperatively, and the differences were significant ( P<0.05). Imaging studies demonstrated satisfactory osteochondral fragment positioning with stable fixation. At last follow-up, all fragments had healed, and MPFL reconstruction grafts exhibited optimal morphology and tension. No joint adhesion or fragment displacement occurred. CONCLUSION For recurrent acute patellar dislocation with patellar OCFs, transosseous suture fixation proves to be both safe and effective, achieving satisfactory early effectiveness.
Humans ; Male ; Female ; Patellar Dislocation/surgery* ; Adolescent ; Young Adult ; Retrospective Studies ; Patella/surgery* ; Suture Techniques ; Treatment Outcome ; Recurrence ; Fracture Fixation, Internal/methods* ; Fractures, Bone/surgery* ; Follow-Up Studies

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Purpose/Significance To classify the elderly according to their heterogeneous health status,and to explore the potential categories and influencing factors status,so as to promote the precision of health information services for the elderly.Method/Process Based on the data of the China health and retirement longitudinal study(CHARLS)database in 2018,the elderly are classified according to their health status by the method of latent class analysis,and the main influencing factors are identified by regression analysis.Result/Conclusion The elderly could be divided into 4 categories according to their health status.Age,sex,education level and retirement sta-tus are significant factors affecting the health grouping of the elderly.According to the heterogeneous health characteristics of the elderly,the service optimization strategy should be provided to promote the physical and mental health of the elderly.

Anaplastic thyroid carcinoma(ATC)is the most aggressive malignancy with poor prognosis.The pathogenesis of ATC is complex,and there is no effective treatment at present.In recent years,with the deep understanding of the genetic(such as BRAF V600E,TP53,TERT,PIK3CA mutations,etc.)and epigenetic(such as histone methylation,histone deacetylation,microRNA regulatory pathways,etc.)changes driving ATC,molecular targeted therapy has brought new hope to ATC patients.This article reviews the molecular mechanisms of ATC and the latest achievements in targeted therapy and other therapies.

Objective:To investigate the expression of HBB in anaplastic thyroid cancer(ATC)cells and its regulatory effect on proliferation,invasion,migration and apoptosis of ATC cells and its potential mechanism.Methods:The expression of HBB in thyroid cancer and paracancerous tissues was analyzed through TIMER database.The correlation between the expression of HBB and the overall survival time of thyroid cancer patients was analyzed through KM-plotter database.The expression of HBB mRNA in ATC cells was detected by RT-qPCR.The HBB knockout or overexpression plasmid was transfected into ATC cells.The expression of HBB protein was detected by Western blot.The proliferation activity was detected by CCK-8 assay.The migration and invasion ability was detected by Transwell assay.The apoptosis was detected by flow cytometry.The expression of β-catenin was detected by Western blot.Results:The expression of HBB was low in thyroid cancer,and the overall survival time of patients with high expression of HBB was high.The expression of HBB protein was down-regulated in ATC cells.Knockout of HBB increased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and inhibited apoptosis.However,overexpression of HBB decreased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and promoted apoptosis.Conclusions:High HBB expression is associated with higher overall survival in patients with thyroid cancer.It may inhibit the proliferation,migration and invasion of ATC cells and promote apoptosis through Wnt/β-catenin signal pathway.

Objective:To observe the clinical efficacy of neck Gongfa exercise in intervening people at high risk for cervical spondylosis. Methods:A total of 212 participants from 8 companies at high risk for cervical spondylosis were divided into two groups using the random number table method,with 105 participants in the control group receiving health education and 107 participants in the trial group receiving an additional neck Gongfa exercise.After successive 3-month interventions,the two groups were compared in terms of cervical soft tissue tension and neck disability index(NDI)score.The incidence of cervical spondylosis was observed 3 months later. Results:During the process,10 cases dropped out in the trial group,and the control group had 9 dropout cases.After the intervention,the cervical soft tissue tension value and NDI score improved in both groups(P<0.05)and showed significant differences between the two groups(P<0.05).At the 3-month follow-up,the trial group had a lower incidence rate of cervical spondylosis than the control group(P<0.05). Conclusion:For people at high risk for cervical spondylosis,neck Gongfa exercise can effectively improve cervical soft tissue tension and motor dysfunction and lower the incidence of cervical spondylosis in the short run.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Medical physicists play an important role in the delivery of radiotherapy. Compared with China′s mainland, Hong Kong has established a more mature training mode and a more complete management system for medical physics talents. In this article, the authors introduced the current state of medical physics talent training, as well as the recruitment, certification and promotion of medical physicist in Hong Kong by querying the official websites of medical physics organizations, reviewing related literature and interviewing senior medical physicists in Hong Kong. The authors also analyzed the shortcomings in the construction of medical physics talent system in China′s mainland and made valuable suggestions.

Objective:To explore the incidence, clinical characteristics, imaging features, clinical outcome and prognosis of indeterminate pulmonary nodules (IPN) in patients with osteosarcoma.Methods:A total of 69 patients of osteosarcoma with IPN in lung treated in the Bone tumor Center of Eastern Theater General Hospital from January 2011 to January 2021 were collected retrospectively, there were 47 males and 22 females, with a median age of 19 years old (range 7-60 years old). The clinical characteristics including disease-free interval, the chemotherapy response, with recurrence/non-pulmonary, IPN presence before / during / after chemotherapy and imaging features of IPN including number of IPN, location of IPN, density of IPN, boundary clarity of IPN and outcome. The patients were divided into the metastasis pulmonary nodules group and the benign nodules group according to the final outcome of IPN. Further, χ 2 test was performed for comparison of the clinical and imaging characteristics between the two groups. The survival of patients was counted and the correlation between single factor and survival was compared by Kaplan-Meier test, and multivariate survival analyses were performed using Cox proportional hazards regression models. Results:Sixty-nine cases occurred IPN in 211 patients with osteosarcoma, with an incidence of 32.7%. Of the 69 patients, 45 patients (65.2%) with IPN were diagnosed as metastases, and 24 patients (34.8%) with IPN were diagnosed as benign nodules. Follow-up length ranged from 1 to 124 months, with the median follow up time 43 months. To the end of follow-up, 41 patients (59.4%) remained alive and 28 patients (40.6%) had died. The median survival time was 41.0 (20.0, 65.0) months and the median survival time after diagnosis of IPN was 25.0 (10.0, 43.0) months. There were significant differences in lung nodule density ( P<0.001), boundary ( P=0.002), history of recurrence/extra-pulmonary metastasis ( P=0.023) and chemotherapeutic effect ( P<0.001) between the metastasis pulmonary nodules group and the benign nodules group. Multivariate survival analysis showed that chemotherapeutic effect was an independent factor affecting the overall survival of patients [ HR=0.048, 95% CI (0.01, 0.26)]. Boundary definition [ HR=0.12, 95% CI (0.02, 0.93)] and chemotherapeutic effect [ HR=0.06, 95% CI (0.01, 0.29)] were independent factors influencing survival after diagnosis of IPN. Conclusion:Osteosarcoma patients with IPN have a poor prognosis. The poor effect of chemotherapy is an independent risk factor for the overall survival time of those patients and the survival time after diagnosis of IPN. The boundary definition of IPN is an independent risk factor for the survival time after diagnosis of IPN.