Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Myasthenia gravis is an autoimmune disorder characterized by impaired neuromuscular transmission. Thymectomy is one of the therapeutic options for acetylcholine receptor antibody-positive myasthenia gravis patients. The quality of perioperative care is directly associated with surgical safety and patient outcomes. However, there is currently a lack of specialized nursing consensus or guidelines specifically addressing the care of these patients domestically or internationally. To promote the standardization and normalization of perioperative nursing care for myasthenia gravis patients undergoing thymectomy and to ensure treatment efficacy, a panel of 57 experts from relevant fields was convened. Based on evidence-based medicine and clinical practice experience, discussions were held on various aspects including condition assessment, nutritional support, medication management, and airway care, resulting in a consensus with 18 final recommendations by using the Delphi method through two rounds of expert consultation. This consensus aims to provide a scientific reference for the perioperative nursing care of myasthenia gravis patients undergoing thymectomy.

Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

ObjectiveTo explore the structural characteristics， biocompatibility， anti-inflammatory and antioxidant properties of hyaluronic acid （HA）/silk fibroin （SF） composite hydrogel scaffolds loaded with epigallocatechin gallate （EGCG）， and to provide a new material basis for the treatment of periodontitis. MethodsThe composite hydrogel scaffolds were constructed by cross-linking HA and SF and loaded with EGCG. The water absorption rate， degradation property and material characteristics were detected by scanning electron microscopy. The cytocompatibility and anti-inflammatory and antioxidant properties were evaluated by in vitro experiments. ResultsThe EGCG-loaded scaffolds exhibited a porous network structure and desirable swelling properties. In vitro experiments demonstrated that the scaffolds possessed good biocompatibility， along with the ability to inhibit the expression of inflammatory factors and scavenge reactive oxygen species. ConclusionThe HA/SF-EGCG composite scaffolds have excellent biocompatibility and dual functional activities of anti-inflammatory and antioxidant， providing a new strategy for improving the clinical treatment effect of periodontitis.

Objective To investigate the clinical and CT findings features of nonaneurysmal perimesencephalic subarachnoid hem-orrhage(NAPSAH).Methods A retrospective analysis was conducted on 19 cases of NAPSAH confirmed by clinical treatment and follow-up,and their clinical and CT findings features were summarized.Results All patients exhibited mild clinical symptoms and had a good prognosis without complications.The sites of NAPSAH involved the anterior cistern in 17 cases,the suprasellar cistern in 8 cases,the interpeduncular cistern in 7 cases,the anterior cistern only in 1 case,and the suprasellar cistern only in 1 case;Among them,4 cases had vertebrobasilar dolichoectasia(VBD)and 3 cases had tortuous prolongation of vertebrobasilar artery.Conclusion The incidence of NAPSAH is low,the clinical symptoms are mild and good prognosis.It has typical imaging features.Most of its hemorrhage sites are confined to the anterior cistern,suprasellar cistern and interpeduncular cistern.Combining clinical and CT find-ings helpful to improve the accuracy of diagnosis.

Objective To investigate the clinical and CT findings features of nonaneurysmal perimesencephalic subarachnoid hem-orrhage(NAPSAH).Methods A retrospective analysis was conducted on 19 cases of NAPSAH confirmed by clinical treatment and follow-up,and their clinical and CT findings features were summarized.Results All patients exhibited mild clinical symptoms and had a good prognosis without complications.The sites of NAPSAH involved the anterior cistern in 17 cases,the suprasellar cistern in 8 cases,the interpeduncular cistern in 7 cases,the anterior cistern only in 1 case,and the suprasellar cistern only in 1 case;Among them,4 cases had vertebrobasilar dolichoectasia(VBD)and 3 cases had tortuous prolongation of vertebrobasilar artery.Conclusion The incidence of NAPSAH is low,the clinical symptoms are mild and good prognosis.It has typical imaging features.Most of its hemorrhage sites are confined to the anterior cistern,suprasellar cistern and interpeduncular cistern.Combining clinical and CT find-ings helpful to improve the accuracy of diagnosis.

Cardiovascular disease is the leading cause of death worldwide,with atherosclerosis(AS)-its core pathological manifestation-representing a multifactorial-driven chronic inflammatory disorder.The pathogenesis of AS involves intricate pathological mechanisms including dyslipidemia,inflammatory cascades,and plaque vulnerability,whose complexity necessitates animal models capable of accurately recapitulating specific pathological features.Genetically engineered murine models have emerged as pivotal tools for deciphering AS mechanisms,owing to their genetic manipulability,phenotypic traceability,and molecular conservation with human pathophysiology.This review provides a systematic overview of current methodologies for establishing AS mouse models,with particular emphasis on evaluating the pathological fidelity of dietary induction approaches,genetic modification strategies[notably apolipoprotein E(ApoE)-/-and low density lipoproteins receptor(LDLr)-/-models],and physical injury paradigms.

Objective This study focuses on a tertiary public hospital in Ningxia to explore the practical application of discipline-specific research performance evaluation.To establish a performance evaluation index system tailored to the characteris-tics of tertiary public hospitals in underdeveloped regions and propose strategies for improving research performance evaluation through empirical research,thereby promoting high-quality hospital development.Methods Guided by the performance evalua-tion indicators for tertiary public hospitals and the accreditation standards for tertiary hospitals,and aligned with the hospital's o-verall work plan,a multi-dimensional and multi-level evaluation method was adopted.Following the SMART principles(Specific,Measurable,Achievable,Relevant,Time-bound)and differentiated scoring principles,research performance evaluation indica-tors were summarized,screened,and weighted.An empirical analysis of the research status of 20 disciplines from 2021 to 2024 was conducted to establish and continuously optimize a research performance evaluation index system suited to the hospital's needs.Results A research performance evaluation index system for public hospital disciplines was finalized,comprising 5 first-level indicators,14 second-level indicators,and 40 third-level indicators(22 quantitative and 18 qualitative).This system standardized the management of discipline-specific research and effectively promoted steady growth,structural adjustment,and development in hospital research.Conclusion Constructing a scientific,standardized,and operable research performance eval-uation index system is of significant importance for enhancing the research level of disciplines in public hospitals and strengthening discipline construction.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.