Objective: To explore the influencing factors of anxiety symptoms and to construct a predictive model based on machine learning algorithms, so as to provide support for the prevention and management of anxiety symptoms among junior high school students. Methods: From April to May 2023, a stratified random cluster sampling method was adopted to select 8 176 junior high school students from Zhengzhou and Shangqiu citys. All participants completed the Adolescent Self rating Life Events Checklist, the 10item Connor-Davidson Resilience Scale, the School Connectedness Scale, the Parent-Child Cohesion Questionnaire, and the 7 item Generalized Anxiety Disorder Scale. Logistic regression analysis identified the associated factors of anxiety symptoms among junior high school students. Predictive models were constructed using Logistic regression, Random Forest, and eXtreme Gradient Boosting (XGBoost) algorithms, with SHapley Additive exPlanations analysis explaining the optimal model. Results: The detection rate of anxiety symptoms among junior high school students was 16.3%. Logistic regression analysis showed that junior high school students who were female ( OR =1.22), in the ninth grade ( OR =1.27), living in urban areas ( OR =1.37), having a father with a college education or above ( OR =1.26), having a mother with a senior high school education ( OR =1.26), and experiencing higher levels of negative life events ( OR =1.05) reported a higher risk of anxiety symptoms(all P <0.05). In contrast, those with moderate family economic status ( OR =0.71), moderate academic burden ( OR =0.59), low academic burden ( OR =0.54), moderate sleep quality ( OR =0.46), good sleep quality ( OR =0.26), excellent sleep quality ( OR =0.15), higher levels of psychological resilience ( OR =0.96), higher levels of school connectedness ( OR =0.96), and higher levels of parent-child cohesion ( OR =0.98) reported a lower risk of anxiety symptoms (all P <0.05). Three machine learning models demonstrated good predictive performance for anxiety symptoms among junior high school students (all AUC>0.8), with the XGBoost model achieving the best predictive performance. SHAP analysis revealed that negative life events, sleep quality, school connectedness, psychological resilience and parent-child cohesion were the top five relevant factors for predicting anxiety symptoms. Conclusions The detection rate of anxiety symptoms among junior high school students is relatively high. The XGBoost model is the optimal predictive model for anxiety symptoms in the population. Negative life events, sleep quality, school connectedness, psychological resilience, and parent-child cohesion are significant correlates of anxiety symptoms among junior high school students.

Background: Our genomic understanding of lymphomas, a heterogeneous group of neoplasms, has grown exponentially. The latest World Health Organization (WHO) and International Consensus classifications reflect the importance of genetic assessment in the diagnosis and prognostication of and therapeutic decision making in lymphoid neoplasms. To address this clinical need for routinely available and timely testing, we aimed to validate the Ion AmpliSeq Liverpool Lymphoid Network Panel (IALLNP; Thermo Fisher Scientific, Waltham, MA, USA). Methods: We clinically validated the IALLNP on the Ion Torrent Genexus Sequencer (Thermo Fisher Scientific). The panel detects single-nucleotide variants (SNVs) and insertions/deletions (indels) in 60 clinically relevant genes. The validation set included a commercial control and 54 DNA samples covering the spectrum of clinically aggressive and indolent lymphomas. Results: After optimizing for poor coverage regions, recurrent artifacts, and false-negative calls, the panel showed good performance in terms of depth of coverage, on-target reads, and uniformity. Its sensitivity for SNVs and indels at a lower limit of detection of 5% variant allele frequency (VAF) was 100%. Specificity in variant-negative samples was 100%, and the mean per-sample number of false-positive variants—which were easily identifiable and excluded upon interrogation of raw data—was 0.4. The panel demonstrated 92.8% reproducibility; however, all nonreproducible variants fell below the 5% VAF analytical threshold. Conclusions The IALLNP is an accurate and reproducible next-generation sequencing panel that delivers genetic results for lymphoid neoplasms in a clinically meaningful timeframe.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

Objective To evaluate the efficacy and safety of CT-guided percutaneous radiofrequency ablation (RFA) as an alternative for video-assisted thoracoscopic surgery (VATS) in treating multiple pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of 113 patients with multiple pulmonary nodules admitted to Jiangsu Provincial Hospital of Traditional Chinese Medicine from October 2020 to October 2022. The patients were divided into the RFA group (n＝50) and the VATS group (n＝63) based on the treatment method. Perioperative indicators (operation time, intraoperative blood loss, postoperative length of hospital stay), oncological outcomes (recurrence-free survival [RFS], overall survival [OS]), and postoperative complication rates were compared between the two groups. Univariate and multivariate Cox regression analysis was performed to identify independent prognostic factors. Results The operation time in the RFA group was significantly shorter than that in the VATS group ([75.2±20.1] min vs [102.3±28.7]) min, P＜0.001). No statistically significant differences were observed in intraoperative blood loss and postoperative length of hospital stay. After follow-up of 24 (12, 30) months, no statistically significant differences were found in RFS (HR＝1.25, P＝0.445) or OS (HR＝1.42, P＝0.402) between the two groups. Mixed ground-glass nodules with high solid component and solid nodule were identified as independent risk factors for RFS (HR＝2.44, P＝0.023; HR＝2.97, P＝0.007) and OS (HR＝2.87, P＝0.022; HR＝3.43, P＝0.005) in patients with multiple pulmonary nodules. The total complication rate in the RFA group was lower than that in the VATS group (12.0% vs 34.9%, P＝0.009). Conclusions The efficacy of CT-guided RFA in treating multiple pulmonary nodules is comparable to that of VATS, with good safety, and it shows promise as an alternative to surgical treatment for multiple pulmonary nodules.

The surgical management of empyema (excluding those caused by mycobacterium tuberculosis and non-tuberculous mycobacteria) is rapidly evolving towards minimally invasive, precise, and stepwise approaches. The traditional three-stage classification (exudative, fibrinopurulent, and organizing) has limitations in guiding dynamic clinical decision-making. For the first time, this consensus explicitly identifies two critical junctures in the pathological progression of empyema: "early transformation" (stage Ⅰ to Ⅱ) and "late transformation" (stage Ⅱ to Ⅲ), and thereby constructs a corresponding "identification-early warning-intervention" stepwise therapeutic framework. The consensus emphasizes that proactive debridement via video-assisted thoracoscopic surgery should be performed during the early transformation phase to halt disease progression. Conversely, during the late transformation phase, therapeutic goals should be rationally adjusted to prioritize adequate drainage, avoiding futile pleural decortication. Moreover, the consensus underscores the pivotal role of precise perioperative etiological diagnosis (e.g. metagenomic nest-generation sequencing) and standardized anti-infective therapy. Integrating practical experiences from multiple thoracic surgery centers in China and relevant evidence-based literature, this consensus formulates recommendations on the precise definitions of staging, surgical indications for each phase, key technical points, perioperative management, and training systems. It aims to promote the standardized and individualized surgical management of empyema, ultimately optimizing patient prognosis.

Objective To analyze the implementation status of GBZ 130-2020 Requirements for Radiological Protection in Diagnostic Radiology in Beijing City and identify the problems in standard implementation. Methods A total of 222 professionals from 127 medical institutions, radiation health technical service institutions and health supervision institutions in Beijing City were selected as the study participants using the stratified random sampling method. Standard Implementation Evaluation Questionnaire was used to assess their evaluations on the standard technical content, implementation status and implementation effectiveness. Radiation protection inspection reports were reviewed to obtain data on external dose level outside shielding from 8 810 radiological diagnostic rooms in Beijing City. Technical risk points in standard implementation were identified through discussion with the experts and qualitatively analyzed. Results The measurement score for standard implementation was 95.1. The scores for the first-level indicators of standard technical content, standard implementation status, standard implementation effectiveness were 39.0, 26.2 and 29.9, respectively. Among the second-level indicators, standard publicity and training scored the lowest at 7.6. A total of 17 major problems related to standard implementation were identified, including inconsistent dose limits around imaging rooms versus environmental protection limits, absence of protection requirements for new equipment such as vehicle-mounted compated tomograph (CT) and CT shelter, and poor compliance with dental protective devices. The overall pass rate for external dose level outside shielding among radiological diagnostic rooms in Beijing City was 99.6%. Among the 40 non-compliant rooms, structural defects such as improper door/window overlaps accounted for 52.5%. Conclusion The implementation of GBZ 130-2020 Requirements for Radiological Protection in Diagnostic Radiology in Beijing City is generally good, with improved standardization level of radiation protection. However, there remain rooms for optimization in indicator coordination and standard publicity and training.

Objective: To analyze the bidirectional association between sleep status and depressive symptoms among primary school students, so as to provide scientific evidence for developing targeted intervention and health education on children s mental health. Methods: In December 2021, 1 787 students in grades 2 and 3 selected from three primary schools in a district of Tianjin by a convenient sampling method were investigated in a baseline questionnaire survey, which was followed by a one year follow up in December 2022. The survey content included sociodemographic characteristics, lifestyle, etc., and the Children s Sleep Habits Questionnaire and the Center for Epidemiologic Studies Depression Scale for Children were used to assess students sleep quality, sleep duration, social jetlag and depressive symptoms. Linear regression model was applied to examine the association between sleep status and depressive symptoms score in primary school students, and cross lagged panel model was adopted to analyze the bidirectional association between sleep status and depressive symptoms. Results: At baseline, the sleep quality score among primary school students was 43.00(39.00, 47.00), the daily sleep duration was 9.42(9.12, 9.76) h, the social jetlag was 0.58( 0.29 , 0.92) h, and the depressive symptoms score was 5.00(2.00, 9.00). At the oneyear followup, the score of sleep quality among primary school students was 42.00(38.00, 47.00), the daily sleep duration was 9.43(9.12, 9.78)h, the social jetlag was 0.50 (0.25, 0.78)h, and the score of depressive symptoms was 4.00(2.00, 9.00). After adjusting for confounding factors such as gender, parental education level, and monthly family income, linear regression analyses showed that the baseline sleep quality score was positively associated with follow up depressive symptoms scores ( β =0.25) among primary school students, while baseline sleep duration ( β =-0.06) and baseline social jetlag ( β =-0.08) were both negatively associated with follow up depressive symptoms score (all P <0.05). Cross lagged regression models indicated that baseline sleep quality score positively predicted depressive symptoms score at the 1 year follow up ( β =0.10), and baseline depressive symptoms score positively predicted follow up sleep quality score ( β = 0.08 )(both P <0.05). Conclusions There is a bidirectional association between sleep quality and depressive symptoms among primary school students. Improving sleep quality may help alleviate children s depressive symptoms.

The incidence rate of suspected adverse events following immunization (AEFI) after single administration of pentavalent recombinant rotavirus attenuated live vaccine (RV5) in Chaoyang District, Beijing City from 2019 to 2021 was 362.3 per 100 000 doses. The incidence rate of AEFI after simultaneous administration with oral polio vaccine (OPV), inactivated polio vaccine (IPV), hepatitis B vaccine (HBV), Haemophilus influenzae type b (Hib), and pneumococcal conjugate vaccine 13-valent (PCV13) was 239.3 per 100 000, 643.4 per 100 000, 346.8 per 100 000, 438.1 per 100 000, and 434.0 per 100 000, respectively. The specific incidence rates for common AEFI symptoms such as fever, local allergic rash, irritability, and vomiting under different vaccination regimens were as follows: RV5 alone (fever: 88.3 per 100 000, rash: 9.1 per 100 000, irritability: 100.5 per 100 000, vomiting: 83.3 per 100 000), RV5 and IPV simultaneous administration (fever: 239.4 per 100 000, rash: 104.7 per 100 000, irritability: 134.7 per 100 000, vomiting: 89.8 per 100 000), RV5 and OPV simultaneous administration (fever: 119.6 per 100 000, rash: 32.6 per 100 000, irritability: 32.6 per 100 000, vomiting: 32.6 per 100 000), RV5 and HBV simultaneous administration (fever: 111.0 per 100 000, rash: 69.4 per 100 000, irritability: 83.2 per 100 000, vomiting: 41.6 per 100 000), RV5 and Hib simultaneous administration (fever: 159.3 per 100 000, rash: 238.9 per 100 000, irritability: 0 per 100 000, vomiting: 39.8 per 100 000), and RV5 and PCV13 simultaneous administration (fever: 142.8 per 100 000, rash: 98.0 per 100 000, irritability: 126.0 per 100 000, vomiting: 25.2 per 100 000).

Objective:To review drug clinical trial development in Shaanxi province and to understand the effectiveness of the implementation of a record system in promoting drug clinical trial development.Methods:Based on the data of drug clinical trials in Shaanxi province released on the official website of the National Medical Products Administration, this study made a statistical analysis of the number of drug clinical trial institutions, regional distribution, registered majors and principal investigators, and the development of drug clinical trial projects.Results:After implementing drug clinical trial institution registration, the drug clinical trial institutions in Shaanxi Province developed rapidly, increasing from 20 in the qualification period to 46, with a growth rate of 130%. A total of 113 specialties were recorded, of which the highest number of professional records were for endocrinology and oncology. 46 institutions recorded 1, 094 principal investigators and participated in 3803 drug clinical trial projects. However, only 8 institutions had undertaken drug clinical trial projects as group leaders.Conclusions:The number of drug clinical trial institutions in Shaanxi province increased significantly, reflecting a good overall development status. However, issues still exist, such as unbalanced development of clinical trial resources within the region, insufficient researchers with the ability to conduct clinical trials, relatively concentrated drug clinical trial projects, and lack of experience in undertaking clinical trials as a group leader.