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.

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:Stress-induced damage to hippocampal neurons may underlie abnormalities in neuronal structure and function,ultimately leading to mood disorders.G protein-coupled receptors in brain tissue play an important role in mood regulation.OBJECTIVE:To analyze the mechanism of depression-like behavior in chronic social defeat stress mice based on high-throughput sequencing and bioinformatics analysis.METHODS:C57BL/6J mice were randomly divided into control group and model group.There was no special treatment in the control group,while a mouse model of chronic social defeat stress was established in the model group.Depression-like behavior was assessed through the sucrose preference test,tail suspension test,and forced swim test.Anxiety behavior was evaluated using the elevated plus-maze,while social behavior was measured through the social interaction test.Cognitive function was assessed with the Y-maze spontaneous alternation test.Immunofluorescence staining was performed to quantify microglia markers in the mouse hippocampus,and Nissl staining was used to examine neuronal damage in mice.High-throughput sequencing was used to identify differentially expressed genes and gene enrichment in the mouse hippocampus,and qPCR was used to measure the expression of G protein-coupled receptors in the mouse hippocampus.RESULTS AND CONCLUSION:(1)Compared with the control group,chronic social defeat stress mice showed significant behavioral impairments,including increased anxiety,depression,and cognitive deficits.(2)Additionally,the Nissl body light density in hippocampal neurons was significantly reduced in chronic social defeat stress mice.(3)Sequencing results revealed synaptic damage in the neurons after chronic social defeat stress.Microglia activation was also markedly increased in the hippocampus of CSDS mice.Furthermore,the expression of G protein-coupled receptors in the hippocampus was significantly higher in chronic social defeat stress mice compared with the control group.These findings suggest that chronic social defeat stress induces anxiety,depression,and cognitive deficits in mice,accompanied by neuropathological changes in the hippocampus,and that altered G protein-coupled receptors expression may play a key role in these behavioral and neuropathological changes.

Background: Recurrent pregnancy loss undermines the physical and mental health of women. Recent randomized controlled trials have reported some effects of traditional Chinese medicine (TCM); however, whether various TCM methods have different effectiveness remains unclear. Objective: To comprehensively evaluate the efficacy and adverse events of TCM for patients with RPL and to explore whether various TCM methods have different effectiveness. Methods: Ten databases were searched up to May 27, 2024. The risk of bias was assessed using the RoB2 tool. The certainty of the evidence was evaluated using the grading of Recommendations, Assessment, Development, and Evaluation tool. Pairwise and network analyses were conducted using Stata 18.0. Results: A total of 47 randomized controlled trials enrolling 6678 women with RPL were included. Pairwise analysis showed that use of TCM had a significantly lower miscarriage rate (RR 0.50 [95% CI 0.45, 0.55]), lower preterm birth rate (RR 0.81 [95% CI 0.67, 0.98), and lower adverse event rate (RR 0.46 [95% CI 0.37, 0.58]). Moreover, use of TCM was associated with a higher alive-fetus rate (RR 1.21 [95% CI 1.15, 1.26]), live-birth rate (RR 1.20 [95% CI 1.15, 1.25]), and full-term rate (RR 1.37 [95% CI 1.23, 1.53]) compared with nonuse of TCM. Network analysis demonstrated that Bushenshugan combined with conventional Western medicine was ranked the best for the reduction of miscarriage rate. Discussion: Use of TCM is more likely to improve pregnancy outcomes and reduce adverse events compared with nonuse of TCM in patients with RPL. Different TCM methods have differences in reducing the miscarriage rate. The Bushenshugan method might be a potential optimal TCM therapy, but more high-quality evidence is needed to further validate and evaluate the efficacy and safety.

[摘 要] 目的：探讨X连锁锌指蛋白（ZFX）通过Nectin-4表达影响食管鳞状细胞癌（ESCC）进展的分子机制及其对PI3K/AKT信号通路的激活作用。方法：收集2022年8月至2023年7月在南充市中心医院手术切除的30对ESCC组织及癌旁组织标本。采用人食管上皮细胞HET-1A及ESCC细胞KYSE-30、KYSE-150、KYSE-410、KYSE-510和TE-1。基于2018年至2019年收集的6例ESCC配对标本转录组测序数据筛选Nectin-4，通过TIMER2.0数据库、RT-qPCR和WB法、免疫组织化学（IHC）检测ESCC组织及细胞中Nectin-4的表达水平。采用shRNA技术在KYSE-410和KYSE-510细胞中敲低Nectin-4，通过CCK-8、克隆形成、划痕愈合及Transwell实验检测敲低Nectin-4对细胞增殖、迁移和侵袭能力的影响，采用WB法检测敲低Nectin-4对细胞PI3K/AKT通路及EMT相关蛋白表达水平的影响。通过生物信息学预测并结合双萤光素酶报告基因实验，鉴定并验证ZFX作为Nectin-4的上游转录调控因子。结果：综合分析显示，ESCC组织及细胞系中Nectin-4表达显著高于癌旁组织及HET-1A细胞（均P < 0.01）。功能研究表明，敲低Nectin-4显著抑制KYSE-410和KYSE-510细胞的增殖活性、克隆形成能力，以及迁移和侵袭能力（均P < 0.01）。机制方面，敲低Nectin-4时细胞中E-cadherin表达上调、N-cadherin下调（均P < 0.01），并抑制PI3K/AKT通路相关蛋白的磷酸化水平（P < 0.01）。结论： ZFX通过上调Nectin-4表达激活PI3K/AKT信号通路促进ESCC进展，为ESCC的治疗提供了潜在的新靶点。

Objective: To explore the effect of a computer assisted audiovisual combined intervention model on the core symptoms of children with autism spectrum disorder (ASD), in order to provide references for enriching intervention and treatment methods for ASD children. Methods: From December 2023 to March 2024, 36 ASD children aged 4-8 years were recruited from Tianjin Disabled Persons Rehabilitation Center and Xinxinyu Children s Rehabilitation Center, and were divided into a training group (22 cases) and a control group (14 cases). The training group completed a 12 week audiovisual training course (visual sessions:twice a week, for 50-60 minutes each session; auditory sessions:three times a week, for 15 minutes each time), while the control group received only conventional treatment interventions. Before and after the intervention, the core symptoms of ASD children were assessed using the Short Sensory Profile (SSP), Social Responsiveness Scale (SRS), and Repetitive Behavior Questionnaire-2 ( RBQ- 2). Eye tracking experiments were used to test preferences for social attention. Results: Before the intervention, there were no statistically significant differences in the total scores and factor scores of the SSP and RBQ-2 scales between the two groups ( t =-1.63, 0.38, both P >0.05). The SRS total score, social communication, and restricted interests and repetitive behavior factor scores of the training group (90.68±25.83, 33.36±11.80, 15.64±7.00) were significantly higher than those of the control group (72.29±19.84, 24.93±7.85, 10.21±5.67) ( t =2.27, 2.36, 2.43, all P <0.05). Children in the training group with higher social communication factor scores before the intervention scored lower than the control group at the post intervention test (simple slope=-14.17, t =-2.48, P = 0.02), while there was no statistically significant difference in post intervention scores between children with lower social communication factor scores before the intervention and the control group (simple slope=2.31, t =0.57, P >0.05). Eye tracking experiments showed that the total fixation time on geometric images decreased significantly more in the training group [ -4.56 (-11.42, 1.21)] compared to the control group [6.55 (-0.32, 16.53)] after the intervention ( Z=2.48, P <0.05). Conclusions The computer assisted audiovisual intervention model can effectively improve the core symptoms of ASD children with poorer social communication levels. The promotion of the intervention model needs to consider individual differences in ASD.

This paper summarizes Professor WANG Yaoxian's experience in treating diabetic kidney disease （DKD） from the perspective of spleen and stomach based on the "internal heat leading to concretions" theory. It is considered that internal heat leading to concretions constitutes the core pathogenesis of DKD， with the spleen and stomach serving as the source of internal heat； therefore， treatment should be based on regulating the spleen and stomach. In the early stage of DKD， dysfunction of the spleen and stomach leads to the initial generation of internal heat. Common syndrome patterns include gastrointestinal heat accumulation and constrained heat in the liver and stomach， for which modified Gegen Qinlian Decoction （葛根芩连汤） can be used to clear heat bind while modified Dachaihu Decoction （大柴胡汤） is used to clear stomach and soothe liver， respectively. In the middle stage of DKD， weakness of the spleen and stomach results in the initial formation of concretions and conglomerations. Common patterns include spleen deficiency with prevalence of dampness and deficiency of both the spleen and kidney. Treatment emphasizes strengthening the spleen and resolving dampness， raising yang and boosting the stomach with modified Shengyang Yiwei Decoction （升阳益胃汤）， or supplementing spleen and boosting kidney， dissipating bind and dispe-ring concretions with modified Shenqi Dihuang Decoction （参芪地黄汤）， respectively. In the late stage of DKD， it is characterized by spleen and stomach depletion， and rampant accumulation of turbidity and toxin， and the common syndrome patterns are damp-turbidity obstruction in the middle jiao （焦） and spleen-kidney yang deficiency. Treatment aims to remove turbidity and harmonize the stomach， or to warm the kidney and strengthen the spleen while elimina-ting turbidity， using modified Dahuang Gancao Decoction（大黄甘草汤） and Jupi Zhuru Decoction （橘皮竹茹汤） or modified Baoyuan Decoction （保元汤） and Lizhong Decoction （理中汤）， respectively. In clinical practice， appropriate formulas and medications are flexibly selected according to specific syndromes.

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 establish a central cutting two-dimensional liquid chromatography for the determination of lamotrigine in human plasma. Methods External standard method was used. The first dimensional chromatographic column: SNCB（T）-1A（silica gel, 4.6 mm×50 mm, 5 μm）, mobile phase A:VCV-1D mobile phase, flow rate: 0.4 ml/min; mobile phase B: water, flow rate: 1.0 ml/min; second dimensional chromatographic column: Symmetry C₁₈ （4.6 mm×250 mm, 5 μm）, mobile phase: acetonitrile-10 mmol/L ammonium acetate solution（V/V=25∶75）, flow rate: 1.0 ml/min；Intermediate column: SBX 4-MA（resin, 3.0 mm×10 mm, 5µm）. The UV detection wavelength：306 nm, the column temperature：45 ℃, and the injection volume：200 μl. Results The linear range of lamotrigine was 1.24-39.50 μg/ml, the lower limit of quantification was 1.24 μg/ml, the detection limit was 0.02 μg/ml, the intra-day precision RSD was less than 5%, the day-to-day precision RSD was less than 10%, the variation of intra-day accuracy ranged from 102.17% to 111.17%, and the daytime accuracy variation ranged from 99.80% to 107.31% the recovery RSD was less than 5%, and the variation range was 89.95% -96.16%. After 24 hours storage at room temperature, repeated freezing and thawing for 3 times and storage at −40 ℃ for 2 weeks, the ratio of the measured value/labeled value ranged from 87.01% to 115.88%. Conclusion In this study, a method with simple operation, good stability, high sensitivity and good reproducibility was established, which could be suitable for clinical monitoring of blood concentration of lamotrigine and provide reliable monitoring data support for clinical individualized medication guidance.