Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

Objective: To investigate the status of latent tuberculosis infection（LTBI）among freshmen in middle schools and their willingness of preventive treatment in Yunyan District of Guiyang, so as to provide a reference for the prevention and control of tuberculosis in schools. Methods: The tuberculin skin test (TST) and X-ray scans were used to screen the TB infection of 13 915 freshmen in middle schools in Yunyan District of Guiyang in 2023, and a questionnaire survey on the willingness of accepting tuberculosis preventive treatment was conducted to LTBI patients. The χ 2 test and Fisher exact probability was conducted for the comparison of the rates among the groups. Results: Among the freshmen screened, the detection rate of LTBI was 3.29%. There were statistically significant difference in LTBI rates among freshmen of different genders (boys:2.87%, girls:3.81%), age groups (12-15 years old:3.31%, 16-17 years old:3.92%, 18-20 years old:1.91%), and school stages (junior high school:3.52%, ordinary high school:5.96%, vocational high school:2.29%)（ χ 2=9.59, 13.08, 54.30, P ＜0.01). A total of 356 LTBI freshmen completed questionnaire survey,and 299(83.99%) were willing to accept tuberculosis preventive treatment, but the actual number of LIBI freshman who underwent preventive treatment was zero. Those LTBI who had received Bacille Calmette Guérin(BCG) vaccine(86.97%) was higher in the reporting rates of being willing to accept preventive treatment than that of LTBI who had not received BCG vaccine( 75.79 %),the differences were statistically significant( χ 2=6.48， P <0.05). The main reasons for refusing preventive treatment was worry about adverse drug reactions(80.70%), social acceptance and the support of social institutions were needed most(85.96%). Conclusions The LTBI rate among freshmen in Yunyan District of GuiYang is higher. Although the freshmen with LTBI have a higher willingness to accept preventive treatment, however, no one has undergone preventive treatment. Corresponding measures need to be taken for improving the preventive treatment rate of LIBI freshmen.

Objective: To evaluate the intervention efficacy of integrated group social skills training on social ability in school age patients with high functioning ASD, so as to provide a reference for improving social skills in children with high functioning ASD. Methods: From January 2021 to December 2023, 62 children aged 7-12 with high functioning ASD who visited the Children s Psychiatry Outpatient Department of the Affiliated Kangning Hospital of Ningbo University were recruited, and were randomly divided into a training ( n =31) and a control group ( n =31) by a random number table method. The training group received a 20 week structured group social training program (mental interpretation courses and social courses), while the control group received only conventional treatment. Chinese version of Griffith Empathy Measure Parent Ratings (GEM-PR) and Social Response Scale (SRS) were used to assess the symptoms of social deficits before and after treatment. Emotional face recognition tasks and eye movement trajectories were used to test the characteristics of social visual attention in children with ASD. Group comparison was conducted using t-test and Mann-Whitney U test. Results: At baseline, there were no significant differences in GEM-PR score ( t = -1.20 to -0.81), SRS score ( t =-0.36-1.75), emotional face recognition accuracy and reaction time ( t =-0.58-1.85), and eye movement trajectory ( U/t =-1.63-0.29) between the two group ( P >0.05). After intervention, the total GEM-PR score and empathic cognitive factor score of training group [18.00(10.00，24.00)，9.00(8.00，13.00)] were significantly higher than those of the control group [12.00(-1.00，18.00)，2.00(-2.00，7.00)], and the total SRS score and social cognition, social perception, social communication, social motivation (73.23±14.20, 16.16±2.72, 6.58±2.50, 24.29±5.61, 9.52±3.73) were significantly lower than those of the control group (95.26±15.29, 19.90±2.84, 12.58±2.49,31.94±6.38, 13.74±4.81) ( U/t =-2.38, -4.59; -5.88, -5.29, -9.47, -5.01, -3.87, P <0.05). The overall correct rate of emotional face recognition and the correct rate of angry, fearful and neutral faces recognition in the training group [(81.55±6.62)%，(76.86±12.06)%，(79.61±12.42)%，(94.27±6.26)%] were significantly higher than the control group [(70.55±13.82)%，(62.82±18.77)%，(67.18±18.85)%，(79.60±20.05)%], and the average reaction time [(2 226.70±274.43)ms] was lower than the control group [(2 417.27±324.10)ms] (t=4.00, 3.50, 3.07, 3.89, -2.42, P<0.05). The time to first eye gaze [764.74 (748.64, 793.73) ms] in the training group was significantly lower than that in the control group [810.92 (782.86, 877.42) ms], and the proportion of moderatetohigh intensity attention area in the face [(37.37±1.27)%] was significantly higher than that in the control group [(30.34±1.23)%] (U/t=3.44, 8.89, P<0.05). Conclusion Integrated group social training can significantly improve the social communication and empathy ability of high functioning ASD children, increase active attention and recognition ability of faces, and improve mental development of children with ASD.

The principle of treating different diseases with the same therapy is the essence of syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It means that when the same pathogenic changes or the same symptoms appear in the development of different diseases， the same principles or methods can be used for treatment. Due to the complexity and high variability of viral pathogenicity， the precise and effective treatment of different types of viral pneumonia （VP） has always been a research focus and difficulty in modern medicine. VP belongs to the category of external-contraction febrile disease， warm disease， and epidemic in TCM. Haoqin Qingdantang （HQQDD） is a representative formula for clearing heat and dispelling dampness in warm diseases， and its intervention in VP caused by various viral infections has significant effects. This study， guided by the theory of treating different diseases with the same therapy， links the related studies on using HQQDD to treat different types of VP and finds that influenza virus pneumonia （IVP）， severe acute respiratory syndrome （SARS）， and COVID-19 all have a common pathogenic mechanism of dampness-heat at different stages of respective diseases. When these diseases are dominated by damp-heat factors， the use of HQQDD yields remarkable therapeutic effects. Modern pharmacological studies have confirmed that HQQDD can inhibit virus replication， reduce fever reactions， inhibit the expression of inflammatory mediators， and regulate immune balance. Moreover， the sovereign medicine in this formula has excellent antiviral activity， and the formula reflects rich scientific connotations of treating VP. According to the theory of treating different diseases with the same therapy and based on the effective treatment practice and modern pharmacological research of HQQDD for different types of VP， this paper mines the underlying TCM theory of treatment with the same therapy， explores the syndrome differentiation and treatment strategy and effect mechanism of this formula for different types of VP， and analyzes the treatment mechanism and characteristics， with the aim of providing evidence and reference for the clinical application and modern research of HQQDD.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

ObjectiveTo perform a multi-source data fusion analysis of the clinical literature on traditional Chinese medicine （TCM） treatment of gout， explore the front hotspots in this field， and mine the clinical consensus and medication patterns in the TCM treatment of gout with the syndrome of dampness-heat accumulation， thus providing reference for the standardized treatment of this disease. MethodsCNKI， Wanfang， and VIP were searched for the relevant literature. COOC14.9/VOSviewer was used to perform multi-source data fusion analysis of clinical literature on the TCM treatment of gout and construct a visual knowledge map for exploring the research hotspots and frontiers of the TCM treatment of gout. The Traditional Chinese Medicine Inheritance Support System （V3.0） was used to establish the database of TCM treatment of gout with the syndrome of dampness-heat accumulation and explore the medication pattern and prescription characteristics. ResultsThe number of published clinical articles on the TCM treatment of gout has remained high. The research hotspots included comparative studies on the etiology and pathogenesis of gout， identification and typing， prescription composition， and clinical efficacy. A large amount of data has been accumulated in the medicine use experience and the summarization of therapeutic effects. The medication patterns in the TCM treatment of gout with the syndrome of dampness-heat accumulation were mined from the articles that were published during 2019-2023. It was revealed that clinically used drugs can be categorized into 9 groups according to their efficacy. Among them， the drugs with the effects of promoting urination and draining dampness were the richest and had the highest frequency. Meanwhile， the drugs with the effects of resolving dampness and expelling wind-dampness were also commonly used in clinical practice. The combined use of drugs with effects of eliminating dampness， resolving dampness， and expelling dampness plays a key role in the treatment of gout with the syndrome of dampness-heat accumulation. Secondly， heat-clearing drugs are also commonly used， with the types and frequency close to those of urination-promoting and dampness-draining drugs. In addition， drugs with the effects of activating blood and eliminating stasis are commonly prescribed. The prescriptions modified from Simiaowan were commonly used， and the most commonly used drug was Coicis Semen. The analysis of drug combination applications and core drug combinations showed that the core drugs used in the treatment of gout with the syndrome of dampness-heat accumulation were Coicis Semen， Phellodendri Chinensis Cortex， Atractylodis Rhizoma， Achyranthis Bidentatae Radix， Smilacis Glabrae Rhizoma， Dioscoreae Hypoglaucae Rhizoma， Alismatis Rhizoma， and Clematidis Radix et Rhizoma， which were closely related. Coicis Semen was an assistant and guide drug in Simiaowan， while it was the most commonly used in the treatment of gout with the syndrome of dampness-heat accumulation. ConclusionsClinical studies on the TCM treatment of gout are in-depth and diverse， and the core medicinal combination was essentially modified Simiaowan. Coicis Semen， with the highest frequency， has a special efficacy in the treatment of gout with the syndrome of dampness-heat accumulation and is worthy of further in-depth study.

Severe pneumonia is one of the most common and critical respiratory diseases in clinical practice. It is characterized by rapid progression， difficult treatment， high mortality， and many complications， posing a significant threat to the life and health of patients. The pathogenesis of severe pneumonia is highly complex， and studies have shown that its occurrence and development are closely related to multiple signaling pathways. Currently， the treatment of severe pneumonia mainly focuses on anti-infection， mechanical ventilation， and glucocorticoids， but clinical outcomes are often not ideal. Therefore， finding safe and effective alternative therapies is particularly important. In recent years， with the deepening of research into traditional Chinese medicine （TCM）， it has gained widespread attention in the treatment of severe pneumonia. This paper reviewed the relationship between severe pneumonia and relevant signaling pathways in recent years and how TCM regulated these pathways in the treatment of severe pneumonia. It was found that TCM could regulate the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， NOD-like receptor protein 3 （NLRP3）， and nuclear factor E₂-related factor 2 （Nrf2） signaling pathways， playing a role in reducing the inflammatory response， inhibiting cell apoptosis and pyroptosis， improving oxidative stress， and other effects in the treatment of severe pneumonia. Among these pathways， it was found that all of them regulated inflammation to treat severe pneumonia. Therefore， reducing inflammation is the core mechanism by which Chinese medicine treats severe pneumonia. This review provides direction for the clinical treatment of severe pneumonia and offers a scientific basis for the research and development of new drugs.

ObjectiveTo investigate the non-suicidal self-injury （NSSI） behaviors in adolescents with depressive disorder， analyze related influencing factors， and provide theoretical basis and reference for the prevention and treatment of NSSI. MethodsAccording to DSM-5 criteria， 95 depressive adolescents were divided into two groups： one with NSSI （NSSI group） and one without NSSI （nNSSI group）. All patients were assessed with Adolescent Non-suicidal Self-injury Assessment Questionnaire （ANSAQ）， Self-Rating Depression Scale （SDS）， Self-Rating Anxiety Scale （SAS）， Simplified Coping Style Questionnaire （SCSQ）， Experiences in Close Relationships-Relationship Structures Scale （ECR-RS）， and Childhood Trauma Questionnaire-Short Form （CTQ-SF）. The inter-group differences were compared. The influencing factors of NSSI were analyzed by using binary logistic regression. ResultsOf the 95 depressive adolescents， 59 cases of NSSI were identified， with a detection rate of 62.11%. NSSI group had higher scores than nNSSI group on SDS， SAS， negative coping style， paternal attachment anxiety， maternal attachment anxiety and avoidance， CTQ-SF total score， emotional neglect， physical neglect， emotional abuse， and sexual abuse （all P<0.05）. Binary logistic regression analysis showed that anxiety， negative coping style， maternal attachment avoidance and emotional abuse increased the risk of NSSI among adolescents with depressive disorders （all P< 0.05）. ConclusionsAdolescents with depression have a high incidence of NSSI behaviors， which is related to anxiety， negative coping style， maternal attachment avoidance and emotional abuse. In addition to improving patients' depression and anxiety in clinical setting， attention should also be paid to patients' coping styles， parent-child relationship and childhood trauma to reduce the occurrence of NSSI behaviors.

ObjectiveTo establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors. MethodsPatients aged ≥18 years，diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province， were continuously enrolled. Logistic regression，back propagation neural network （BPNN）， and random forest（RF）algorithms were used to construct models for detecting the causative factors of coronary artery stenosis. Sensitivity （TPR）， specificity （TNR）， accuracy （ACC）， positive predictive value （PV+）， negative predictive value （PV-）， area under subject operating characteristic curve （AUC）， and calibration curve were used to compare the discrimination and calibration performance of the models. The best model was then employed to predict the main risk variables associated with coronary stenosis. ResultsThe RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models. The TPR values for logistic regression，BPNN，and RF models were 75.76%， 74.30%， and 93.70%， while ACC values were 74.05%， 72.30%， and 79.49%， respectively. The AUC values were：logistic regression 0.739 9； BPNN 0.723 1； RF 0.752 2. Manifestations such as chest pains，abnormal ST segments on ECG，ventricular premature beats with hypertension， atrial fibrillation， regional wall motion abnormalities（RWMA） by color echocardiography， aortic regurgitation（AR）， pulmonary insufficiency （PI）， family history of cardiovascular diseases，and body mass index（BMI）were identified as top ten important variables affecting coronary stenosis according to the RF model. ConclusionsRandom forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis. The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.

Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.