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.

The study focuses on the concept of multifunctional traditional Chinese medicine (TCM) formulas and aims to evaluate the efficacy of the classical formula Xiaoyao San (逍遥散). Study employs the integrated evidence chain (Eff-iEC) method to organize, integrate, and evaluate its therapeutic efficacy in treating different diseases with the same therapy, and to investigate the feasibility of using Eff-iEC to evaluate the multifunctionality of TCM formulas. The evaluation covered Xiaoyao San's therapeutic effects on depression, premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Concurrently, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for evaluation, and authoritative medical documents were incorporated to corroborate the recognition of Xiaoyao San within the medical community. Depression and menopausal syndrome received higher ratings than other conditions in the Eff-iEC, GRADE, and Medical Community Recognition assessments. The Eff-iEC evidence grade for Xiaoyao San was rated as "High" or above for chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Premenstrual syndrome received a "Moderate ⁺" rating. The GRADE evidence level was "Low-〇〇⨁⨁" for depression, premenstrual syndrome, and chronic hepatitis; "Moderate-〇⨁⨁⨁" for dyspepsia and menopausal syndrome; and "Very Low-〇〇〇⨁" for irritable bowel syndrome. Depression and menopausal syndrome had the highest inclusion frequency, appearing in all 4 categories. Premenstrual syndrome, chronic hepatitis, and dyspepsia are not recommended in Western medical guidelines, but they are included in TCM guidelines, the China National Basic Medical Insurance Drug List, and the China National Essential Drug List. Irritable bowel syndrome appears only in the China National Basic Medical Insurance Drug List and China National Essential Drug List. The evaluation results obtained using the Eff-iEC method align with Medical Community Recognition, providing an objective and comprehensive assessment of Xiaoyao San's efficacy. The findings suggest that Xiaoyao San has strong evidence for treating depression and menopausal syndrome. However, further experimental and clinical trials are needed to assess its efficacy in treating premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, and dyspepsia. These results support the clinical efficacy and rational use of Xiaoyao San, expand the application scope of the Eff-iEC method, and offer valuable insights and methodological references for the comparative evaluation of multifunctional TCM formulas.

Objective To identify immune cell-related biomarkers in lung adenocarcinoma (LUAD) using weighted gene co-expression network analysis (WGCNA). Methods Based on data from The Cancer Genome Atlas (TCGA) database, a gene co-expression network was constructed for the TCGA-LUAD dataset using the "WGCNA" R package, and genes were clustered into different modules. Concurrently, the Estimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE) algorithm was applied to the tumor samples in the TCGA-LUAD dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to evaluate the biological functions of genes within the most significantly correlated module. Candidate hub genes from the key module were intersected with a protein-protein interaction (PPI) network to identify the final hub genes. The prognostic performance of these hub genes and their correlation with immune cell infiltration were validated using Kaplan-Meier curves and the Tumor IMmune Estimation Resource (TIMER) algorithm. Finally, a multivariate Cox regression analysis was conducted on the identified hub genes to construct a prognostic risk model. Results In the co-expression network, the brown module was found to be highly correlated with the ImmuneScore, StromalScore, and ESTIMATE Score. Five immune-related hub genes were identified: CD53, PLEK, SPI1, IL10RA, and C3AR1. Enrichment analysis of the brown module revealed that its genes were primarily enriched in GO terms such as "regulation of innate immune response" and KEGG pathways like the "NF-kappa B signaling pathway". Furthermore, the expression levels of these five hub genes were significantly and positively correlated with the infiltration abundance of various immune cells. The immune relevance of the model was validated by the Immunophenoscore (IPS) and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Moreover, the established RiskScore demonstrated significant potential in predicting the response to immunotherapy. Conclusion These five immune-related key genes may serve as novel and effective potential therapeutic targets for LUAD immunotherapy, facilitating the development of personalized diagnosis and treatment strategies for patients with LUAD.

Objective: To explore the longitudinal relationship between bullying victimization and sleep quality among rural boarding junior high school students in Hebei Province, and to investigate the chain mediated role of loneliness and rumination, so as to provide evidence for promoting sleep health in the population. Methods: A baseline survey was conducted in May, 2023 (T1) by convenient sampling method, and two rounds of longitudinal surveys were conducted in November, 2023 (T2) and May, 2024 (T3) among students in two rural boarding junior high schools in Hebei Province, and a sample of 601 students who completed all the surveys was finally obtained. Students completed questionnaires, including the Delaware Bullying Victimization Scale Student (DBVS-S), the University of California at Los Angeles Loneliness Scale (UCLA), the Ruminative Responses Scale, and the Pittsburgh Sleep Quality Index (PSQI). Group differences were examined by using t-test or ANOVA, correlations between variables were analyzed by using Pearson correlation coefficients, and a serial mediation structural equation model was constructed, with mediation effects tested via the Bootstrap method. Results: Female students scored higher on sleep quality than male students (7.47±2.70, 6.47 ±2.46, t =4.74, P <0.01). Pearson correlation analysis indicated that bullying victimization was positively correlated with loneliness, rumination, and sleep quality; loneliness was positively correlated with rumination and sleep quality; and rumination was positively correlated with sleep quality ( r =0.26, 0.33, 0.23; 0.39, 0.38; 0.54, all P <0.01). Mediation analysis showed that T2 loneliness had an independent mediating effect of 0.70 (95% CI =0.36-1.35) between T1 bullying victimization and T3 sleep quality, T2 rumination had an independent mediating effect of 1.34 (95% CI =0.71-2.45), and the serial mediation effect of T2 loneliness and T2 rumination was 0.64 (95% CI =0.37-1.13), accounting for 22.11% of the total effect (all P <0.01). Conclusions Bullying victimization adversely affects sleep quality among rural boarding junior high school students through a longitudinal chain mediating pathway involving loneliness and rumination. Psychological interventions should be strengthened for students who experience bullying to alleviate their loneliness and reduce rumination, thereby improving sleep quality.

Objective: To explore the developmental trajectories of depression in children and adolescents and their association with family types, and to analyze the role of being an only child in the context, so as to provide a basis for early identification of mental health issues in children and adolescents. Methods: The study was a secondary analysis based on the existing database of the Jiangsu Provincial Student Common Diseases and Health Influencing Factors Monitoring and Intervention Project. A total of 11 502 students who had completed at least two measurements using the Chinese version of the Center for Epidemiologic Studies Depression Scale (CES-D) between 2022 and 2024, and had complete information on family type, gender, and age, were selected as the study subjects. Latent class trajectory modeling was used to identify depression developmental trajectories. Multinomial Logistic regression was applied to analyze the association between family type and depression developmental trajectories, and the interaction effect of family type and being an only child was tested. Results: Three types of depression developmental trajectories were identified among children and adolescents: low stable type (91.3%, 10 504 students), moderate rising type (4.3%, 500 students), and high declining type (4.3%, 498 students). Significant differences were observed among the different trajectory groups in terms of gender, age, parental education level, family type, baseline CES-D score, and baseline school type ( χ 2/H=17.48, 139.97, 19.72 , 30.77, 1 081.35, 220.81, all P <0.05). Multinomial Logistic regression analysis showed that, using the low stable type as the reference trajectory group and the nuclear family as the reference family type, after adjusting for confounding factors such as gender, age, and parental education level, single parent families ( OR=1.87, 95%CI= 1.16-3.03) and grandparent headed families ( OR=1.83, 95%CI =1.04-3.21) were significantly associated with the high declining type trajectory (both P <0.05). No significant association was found between family type and the moderate rising type trajectory (all P >0.05). The interaction effect between family type and being an only child was not statistically significant ( LRT=7.71, df=8, P =0.46). Conclusions Depressive symptoms in children and adolescents show heterogeneous developmental patterns during school age. Children and adolescents from single parent and intergenerational families are more likely to follow the high decreasing trajectory.

Objective To investigate the characteristics of executive function impairment in patients with chronic insomnia disorder and its correlation with Objective sleep structure parameters. Methods A total of 92 patients who met the DSM-5 diagnostic criteria for chronic insomnia disorder were enrolled as chronic insomnia disorder group， and 45 healthy controls were enrolled as healthy control group. All subjects underwent assessments for anxiety and depression， overnight polysomnography， and executive function， and the two groups were compared in terms of sleep parameters （including sleep latency， sleep efficiency， total sleep time， sleep stages， and the proportion of each stage） and executive function （Stroop Color-Word Test， digit span test， and trail making test）， as well as the correlation between these parameters. Results Compared with the healthy control group， the chronic insomnia disorder group had significant increases in Stroop Card C completion time， Stroop interference effect， trail making test-B completion time， and trail making test B-A time difference and significant reductions in the score of digit span backward task and the total score of digit span test （P<0.05）. The correlation analysis showed that total sleep time， sleep efficiency， NREM stage 3 duration， and the proportion of NREM stage 3 were negatively correlated with Stroop Card C completion time， Stroop interference effect， trail making test-B completion time， and trail making test B-A time difference and were positively correlated with the score of digit span backward task and the total score of digit span test （P<0.05）. Conversely， NREM stage 1 duration and the proportion of NREM stage 1 were positively correlated with Stroop Card C completion time， Stroop interference effect， trail making test-B completion time， and trail making test B-A time difference and were negatively correlated with the score of digit span backward task （P<0.05）. Conclusion Patients with chronic insomnia disorder exhibit executive function impairment in multiple dimensions including inhibitory control， working memory， and cognitive flexibility， which are associated with the reductions in sleep efficiency and deep sleep.

Objective To investigate the association between sleep behaviors （including bedtime， sleep quality， and nap duration） and academic performance among college students， as well as the regulatory effect of test anxiety and exercise habit on the association between sleep and academic performance. Methods A questionnaire survey was conducted to collect data. The grade of compulsory courses （with higher grades indicating better academic performance） was used as an ordinal dependent variable. All independent variables were coded by levels： for bedtime during exam and non-exam periods， higher levels indicated later bedtimes； for anxiety during the exam period， higher levels indicated more severe anxiety； for sleep quality during both exam and non-exam periods， higher levels indicated better sleep quality； for nap duration， higher levels indicated longer naps. Exercise habit was treated as a binary variable （yes/no）. Ordinal logistic regression （proportional odds model） was used for multivariable analysis， and OR and 95%CIwere calculated. In addition， sex-stratified models were established to investigate sex differences in the associations between these factors and academic performance. Results A total of 1 221 college students were included， among whom male students accounted for 33.7%. After controlling for confounding factors， bedtime during the exam period was significantly positively associated with the grade of compulsory courses， indicating that later bedtime was associated with a greater likelihood of achieving a higher grade （OR=1.32，95%CI 1.08‒1.62， P=0.007）. Sex was also an independent predictive factor， and the OR of achieving a higher grade in female students was 2.4 times that in male students （OR=2.41， 95%CI 1.90‒3.06， P<0.001）. Sleep quality during the exam period （OR=1.18，95%CI 0.99‒1.42， P=0.070） and exercise habit （OR=1.24， 95%CI 0.99‒1.55， P=0.064） showed marginally significant associations with grade. In contrast， bedtime during the non-exam period， nap duration， anxiety during the exam period， and self-rated sleep quality during the non-exam period showed no statistical significance （all P>0.05）. Sex-stratified analysis showed that among the male students， later bedtime during the exam period was associated with a greater likelihood of achieving a higher grade （OR=1.48， 95%CI 1.05‒2.09， P=0.025）， whereas higher anxiety during the exam period was associated with a lower likelihood （OR=0.79，95%CI 0.63‒0.98， P=0.032）； among the female students， better sleep quality during the exam period was associated with a greater likelihood of achieving a higher grade （OR=1.27， 95%CI 1.02‒1.57， P=0.033）， and bedtime during the exam period showed a positive association with academic performance， but without statistical significance （OR=1.25，95%CI 0.96‒1.62，P=0.091）. Conclusion The association between sleep behaviors and academic performance among college students varies with academic period and sex. Later bedtime during the exam period is associated with better academic performance， but this effect is observed only among male students. In addition， the academic performance of male students is negatively affected by test anxiety， whereas the academic performance of female students is positively associated with subjective sleep quality. Future interventions aimed at improving academic health should consider sex-specific strategies.
Anxiety ; Exercise

This paper summarizes professor TU Jinwen's clinical experience in treating cancer-related insomnia （CRI） based on different qi and fire. It is believed that the pathogenesis of CRI can be divided into three stages. At the initial stage， qi movement is constrained， while the strong fire begins to stir， and the sovereign fire is unsettled， when qi is abundant， but the fire is not excessive. For this， Sanhua Jieyu Anshen Decoction （三花解郁安神汤） is suggested， which can move qi and vent constraint， clear and diffuse strong fire， calm the heart and spirit. At the progressive stage， strong fire becomes intense and burning， and qi transformation weakens， with toxin fire harassing the spirit. This is the stage where both qi and fire are excessive， for which Huanglian Jiedu Anshen Decoction （黄连解毒安神汤） can be used to clear and dissipate strong fire， drain fire and resolve toxin， clear heart and calm spirit. At the terminal stage， strong fire subsides， and consumption of qi damages healthy qi， with failure of nourishment of heart spirit， when both qi and fire deplete. Correspondingly， Erren Yangxin Anshen Decoction （二仁养心安神汤） is used to boost qi and nourish yin， restore interaction between the heart and the kidney， nourish the heart and calm spirit.

BackgroundArrhythmia and obsessive-compulsive disorder （OCD） frequently co-occur in clinical and epidemiological settings， yet their shared genetic basis and potential heart-brain axis mechanisms remain unclear. ObjectiveTo systematically evaluate the genetic correlation between arrhythmia and OCD， and to elucidate their underlying molecular genetic mechanisms， so as to provide molecular evidence for the "heart-brain axis" to support risk assessment and integrated clinical strategies for these comorbidities. MethodsThe aggregated data from the genome-wide association study （GWAS） of arrhythmia in the UK Biobank （7 207 cases and 477 391 controls） and the GWAS data of OCD released by the Psychiatric Genomics Consortium （2 688 cases and 7 037 controls） were integrated， all of which were limited to individuals of European ancestry. The genome-wide genetic correlations were estimated using the linkage disequilibrium score regression （LDSC） and the high-definition likelihood （HDL）. Local genetic correlation analysis was conducted using the local analysis of variance annotation （LAVA）. Multi-trait analysis of GWAS （MTAG） was employed to identify pleiotropic loci. Shared risk genes were identified by combining summary-data based Mendelian randomization （SMR） and transcriptome-wide association study （TWAS）. Functional enrichment analysis was performed based on the functional mapping and annotation （FUMA） platform. ResultsBoth LDSC （r_g=0.248， 95% CI： 0.159–0.336， P=4.82×10^-3） and HDL （r_g=0.294， 95% CI： 0.237–0.351， P=5.87×10^-4） revealed significant positive genetic correlation between arrhythmia and OCD. LAVA identified 23 significantly local correlated regions in the genome （P<2.0×10^-5）. MTAG discovered 11 genome-wide significant pleiotropic SNPs， among which rs12754189 （intron of KCNN3） had potential functional harmfulness （CADD>12.37）. SMR and TWAS jointly identified 20 shared genes， enriched in neural-cardiovascular tissues such as the cerebral cortex， amygdala， and left ventricle， and involved in DNA damage response， RNA metabolism， transcriptional regulation， and FAS signaling pathway （FDR<0.05）. ConclusionArrhythmia and OCD share a common genetic basis. The co-morbidity mechanism may involve the common vulnerability of neurons and cardiac muscle cells in terms of gene expression regulation and stress response， supporting the role of the brain-heart axis in the pathophysiology of both conditions.

BackgroundResident physicians represent a high-risk group for sleep disorders， exhibiting a significantly higher prevalence of such conditions compared with the general population， which severely impairs their physical and mental health. It is hypothesized that perceived stress negatively impacts sleep quality through psychological mechanisms， such as depleting self-control resources and triggering anxiety. However， this pathway warrants empirical validation. ObjectiveTo explore the mediating role of self-control and anxiety emotions in the association between perceived stress and sleep quality among resident physicians， and to elucidate the underlying psychological mechanisms， aiming at providing theoretical basis for developing targeted psychological interventions. MethodsA cross-sectional survey was conducted in April 2025. First- to third- year resident physicians at a hospital in Fuyang City were recruited as participants （n=372）. The Chinese Perceived Stress Scales （CPSS）， the Chinese version of the Dual-Mode of Self-Control Scale （DMSC-S）， the Pittsburgh Sleep Quality Index （PSQI）， and the Generalized Anxiety Disorder Scale-7 item （GAD-7） were used for group testing. The model 6 of the Process macro version 4.1 was ultilized to examine the mediating pathway of self-control and anxiety emotions between perceived stress and sleep quality. ResultsA total of 322 valid questionnaires were collected， yielding an effective responsive rate of 86.56%. Among the respondents， 146 （45.34%） reported poor sleep quality. The CPSS score and GAD-7 score of resident physicians were positively correlated with the PSQI score （r=0.727， 0.784， P<0.01）， while the DMSC-S score was negatively correlated with the PSQI score （r=-0.615， P<0.01）. Perceived stress directly and positively predicted poor sleep quality （B=0.124， P<0.01）， with the direct effect accounting for 31.39% of the total effect. Furthermore， perceived stress indirectly affected sleep quality through the independent mediating effects of self-control and anxiety emotions. The indirect effect values of 0.053 （95% CI： 0.019 - 0.091） and 0.192 （95% CI： 0.141 - 0.249）， accounting for 13.42% and 48.61% of the total effect， respectively. Perceived stress also impact sleep quality through the serial mediating effect of self-control and anxiety， with the indirect effect value of 0.026 （95% CI： 0.005 - 0.049）， accounting for 6.58% of the total effect. ConclusionThe perceived stress of resident physicians can influence sleep quality by impairing self-control， exacerbating anxiety， and through the serial mediation of both factors.