ObjectiveTo evaluate the clinical efficacy of Shenqi Yangxin decoction in the treatment of ischemic cardiomyopathy （ICM） with Qi and Yin deficiency and blood stasis syndrome and its effect on serum hydrogen sulfide （H₂S） and calcium ion （Ca²⁺）. MethodsA total of 64 ICM patients with Qi and Yin deficiency and blood stasis syndrome who met the inclusion criteria were randomly divided into a control group （n=32） and a treatment group （n=32）. All patients received conventional Western medicine treatment. The treatment group was additionally given Shenqi Yangxin decoction. The TCM syndrome score， Minnesota Living with Heart Failure Questionnaire （MLHFQ） score， left ventricular ejection fraction （LVEF）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， 6-minute walk test （6MWT）， New York Heart Association （NYHA） cardiac function classification， and serum H₂S and Ca²⁺ levels were compared between the two groups pre- and post-treatment. ResultsTwo cases dropped out from each group during the study. Finally， 30 patients in each group were included in the analysis. There were no significant differences in age， gender， course of coronary heart disease， underlying diseases， and laboratory tests between the two groups. Compared with baseline， the TCM syndrome score， MLHFQ score， and NT-proBNP in both treatment group and control group decreased significantly （P<0.01）， LVEF， 6MWT， and H₂S increased significantly （P<0.01）， and serum Ca²⁺ increased （P<0.05）. Compared with the control group after treatment， the MLHFQ score and NT-proBNP in the treatment group decreased （P<0.05）， the TCM syndrome score decreased significantly （P<0.01）， LVEF， 6MWT， and serum Ca²⁺ increased （P<0.05）， and H₂S increased significantly （P<0.01）. The improvement degree of the NYHA cardiac function classification in the treatment group was higher than that in the control group， but there was no significant difference. ConclusionShenqi Yangxin decoction is effective in treating ICM patients with Qi and Yin deficiency and blood stasis， which could significantly improve cardiac function and quality of life， and its therapeutic effect may be related to the regulation of serum H₂S and Ca²⁺ levels.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To systematically evaluate the disease experience and inner needs of young and middle-aged patients with end-stage renal disease, so as to provide evidence for medical personnel to pay more attention to the mental health of this population and give personalized care.Methods:The qualitative studies on the real experience, psychological feeling and experience of young and middle-aged patients with end-stage renal disease were searched by PsycInfo, PubMed, Embase, CINAHL, Web of Science, China National Knowledge Network, Wanfang, VIP and China Biomedical Literature Database. The retrieval period was from the establishment of the database to April 20, 2024. Joanna Briggs Institute Evidence-based Health Care Center Evaluation criteria (2016 edition) were used to evaluate the literature quality, and the results were summarized and integrated by aggregative meta-integration method.Results:A total of 10 studies were included, and 47 clear findings were extracted and classified into 10 new categories, which were combined into 4 integrated results: the phased changes of patients′ real experience at all levels of body, mind and society, impairment of their own and family role functions, desire for support and lack of autonomy in decision-making, and reconstruction of positive attitude and future outlook in the face of disease.Conclusions:Nursing staff should pay attention to and understand the psychosocial conditions of young and middle-aged patients with end-stage renal disease, timely provide targeted psychological support and help to enhance their confidence in treatment, better return to work and society, and improve their quality of life.

Objective:To clarify the complex network structure between self-management levels and supportive care needs of patients undergoing maintenance hemodialysis, utilizing network analysis methods to identify the core and bridging nodes among the variables, thereby defining targets for nursing interventions to implement more precise care strategies.Methods:A cross-sectional survey was conducted from May to November 2023 among 302 outpatient maintenance hemodialysis patients at the hemodialysis centers of two healthcare institutions in Harbin (the Second Affiliated Hospital of Harbin Medical University and Heilongjiang Changjiang Nephrology Specialist Hospital). This involved the use of general information questionnaires, the Hemodialysis Patient Self-Management Scale, and the Supportive Care Needs Scale for Hemodialysis Patients. R language was employed for the network analysis.Results:A total of 300 valid questionnaires were collected, including 186 males and 114 females, with an age range of 23 to 88 years (mean age 55.00 ± 13.78 years). The scores for the dimensions of self-management among dialysis patients were as follows: problem-solving (3.38 ± 0.63), execution of self-care (3.16 ± 0.52), partnership (2.56 ± 0.69), and emotional processing (1.89 ± 0.63). The scores for the dimensions of supportive care needs among dialysis patients were: physiological needs (2.82 ± 1.08), psychological needs (1.51 ± 1.02), social needs (1.97 ± 1.07), emotional needs (1.67 ± 1.12), spiritual needs (2.22 ± 0.77), informational needs (2.83 ± 1.08), and practical needs (2.82 ± 1.03). In network analysis, the strongest intensity was found in the execution of self-care (1.753), and the highest closeness was in psychological needs (0.017). The top three dimensions ranked by bridge strength were social needs (1.463), partnership (1.462), and execution of self-care (1.384). The root mean square error was lowest for psychological needs (0.518) and emotional needs (0.538). The stability and accuracy of the network structure were found to be good.Conclusions:The key intervention targets for nursing care in maintenance hemodialysis patients were identified as executing self-care, psychological needs, emotional needs, and social needs. Among these, executing self-care served as the core intervention focus, while psychological and emotional needs had dominant influences, and social needs exhibited the strongest bridging role. Nursing staff should prioritize these key targets and tailor personalized comprehensive nursing intervention plans to enhance patients′self-management levels and fully meet their care needs.

OBJECTIVE To analyze the pathogenic characteristics and clinical features of patients with invasive pul-monary aspergillosis(IPA)and summarize the risk factors for poor prognosis.METHODS The clinical data of 89 patients diagnosed with IPA based on microbial identification of Aspergillus from sputum or bronchoalveolar lav-age fluid cultures and diagnostic criteria,who were admitted to Zhongda Hospital Southeast University from Aug.2022 to Jul.2024 and were queried by electronic case system,were analyzed retrospectively.The distribu-tion of Aspergillus pathogens and clinical features of patients with IPA were analyzed,and the risk factors for poor prognosis were summarized.RESULTS A total of 107 Aspergillus strains were isolated from 89 cases,including 55 strains of Aspergillus fumigatus(51.40％),30 strains of Aspergillus flavus(28.04％)and 10 strains of As-pergillus niger(9.34％).There were 63 m ale patients(70.79％),and 34 cases had poor prognosis.Baseline pe-ripheral blood lymphocyte count(＜0.645×109)(OR=6.653,95％CI:2.013-21.990,P=0.002)and ICU admission(OR=8.303,95％CI:1.283-53.741,P=0.026)were identified as risk factors for poor prognosis in patients with IPA.Receiver operating characteristic curve analysis showed that the cut-off point for baseline pe-ripheral blood lymphocyte count in predicting prognosis in patients with IPA was 0.645 ×109/L,with a sensitivity of 85.22％and a specificity of 69.67％.CONCLUSIONS Baseline peripheral blood lymphocyte count and ICU ad-mission are risk factors for poor prognosis in patients with IPA.The alert value for baseline peripheral blood lym-phocyte count is 0.645 × 109/L,which has good predictive value for the occurrence of poor prognosis.

Atopic dermatitis （AD） is a common pruritic and chronic inflammatory dermatosis in clinical practice and is one of the diseases responding specifically to traditional Chinese medicine （TCM）. With the launch of biological agents and small molecule drugs and the development and implementation of guidelines of diagnosis and treatment， clinical pathways of treatment of moderate to severe AD， and consensus on the whole-process management of AD， the clinical efficacy of moderate to severe AD has been significantly improved. However， there are still many unmet clinical needs that require more effective methods to meet. In response to the Opinions of the CPC Central Committee and the State Council on Facilitating the Inheritance， Innovation， and Development of Traditional Chinese Medicine and the spirit of the National Conference on TCM， the China Association of Chinese Medicine organized more than 20 experts in TCM dermatology， Western medicine dermatology， interdisciplinary fields， and industries to discuss the difficulties and advantages of TCM in the treatment of AD. TCM treatment for AD can not only improve rash and relieve itching but also solve many concomitant syndromes. The abundant external treatment methods of TCM have advantages for different special populations and rash characteristics. The concept of treating disease before its onset in TCM is in line with the chronic disease management mode of prevention and treatment of atopic march and prevention of recurrence. In addition， TCM therapy can reduce the use of topical glucocorticoids and has good safety. Regarding the comorbidity of AD， equal emphasis on TCM and Western medicine and multidisciplinary joint treatment should be advocated to achieve maximum benefit for patients. The exchange of TCM and Western medicine has clarified the positioning and advantages of TCM intervention in AD， providing guidance for clinical and scientific research.

By consulting relevant literature of ancient herbal books and processing specifications， this paper made a systematic research and analysis of Ostreae Concha， including the name， producing area， harvesting， quality， historical evolution of processing， relevant processing specifications， modern processing technology， and changes in chemical composition and pharmacological effects before and after processing， in order to provide documentary evidence for the research on processing technology and the establishment of quality standards. According to the textual research， it is known that Ostreae Concha has a long history of being used in medicine， and there have been many aliases and local names in each historical period. Shennong's Classic of the Materia Medica（Shennong Bencaojing） began to use Muli as the correct name， which has continued to use to today， and there were also aliases such as Muge， Zuogu Muli and Haoke. Ostreae Concha has a wide range of localities and irregular harvesting periods. The ancients believed that its left shell was of superior quality， but this has not been seen in modern. And there were many kinds of processing methods of Ostreae Concha， such as grinding， roasting， calcining， frying， simmering， quenching and so on， and the calcining was still in use. The different editions of Chinese Pharmacopoeia from 1963 to 2020 contain only calcined Ostreae Concha， and the local processing specifications mainly include three kinds of processed products（calcined products， salt-soaked products and vinegar-soaked products）. Modern processing research mainly focuses on process optimization， changes in chemical composition and pharmacological effects， and the research methods are relatively single. Overall， there are currently issues such as inconsistent processing standards， unclear process parameters and imperfect quality standards， which are not conducive to the quality control and standardized clinical use of Ostreae Concha. Therefore， it is necessary to further investigate the pharmacological substance basis of Ostreae Concha and its processed products in order to elucidate the processing mechanism， standardize the processing technology and improve the quality standard.

After continuous development and improvement, lung transplantation has become the preferred means to treat a variety of benign end-stage lung diseases. However, the field of lung transplantation still faces many challenges, including shortage of donor resources, preservation and maintenance of donor lungs, and postoperative complications. Lung tissue samples removed after lung transplantation are excellent clinical resources for the study of benign end-stage lung disease and perioperative complications of lung transplantation. However, at present, the collection, storage and utilization of tissue samples after lung transplantation are limited to a single study, and unified technical specifications have not been formed. Based on the construction plan of the biobank for lung transplantation in the First Affiliated Hospital of Xi'an Jiaotong University, this study reviewed the practical experience in the collection, storage and utilization of lung transplant tissue samples in the aspects of ethical review, staffing, collection process, storage method, quality control and efficient utilization, in order to provide references for lung transplant related research.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.