The Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines （hereinafter referred to as the Guidelines） is first specialized in the field of drug safety for oral Chinese patent medicines （OCPMs） in China. Rooted in China's healthcare context， the Guidelines address the unique usage patterns and risk characteristics of OCPMs， filling a regulatory gap in the pharmacovigilance framework specific to this category. To facilitate accurate understanding and effective implementation of the Guidelines， and to promote the standardized development of pharmacovigilance practices for OCPMs， this study offered a systematic interpretation based on its three core components. In the domain of risk monitoring and reporting， the paper analyzed the rationale for multi-source information integration and clarified the criteria for identifying key products and target populations for intensive monitoring. Regarding risk assessment， the Guidelines were examined from three dimensions of formulation components， medication behaviors， and population to address complex safety issues arising from medicinal constituents， irrational use， and individual susceptibility. In the area of risk control， the analysis focused on context-based interventions and dynamic closed-loop management strategies， exploring practical pathways to shift from passive response to proactive risk mitigation. Furthermore， this paper evaluated the applied value of the Guidelines and identified implementation challenges， such as insufficient capacity at the primary-care level and limited digital infrastructure. In response， the study proposed optimization strategies including establishing a dynamic updating mechanism， strengthening training at the grassroots level， and incorporating artificial intelligence to enhance pharmacovigilance capacity. This interpretation aims to provide actionable insights for marketing authorization holders （including manufacturers）， pharmaceutical distributors， healthcare institutions， and research organizations， ultimately supporting the establishment and refinement of a full lifecycle pharmacovigilance system for OCPMs.

ObjectiveTo identify key ligand-receptor axes that may improve immunotherapeutic strategies for hepatocellular carcinoma with portal vein tumor thrombus （PVTT）. MethodsSingle-cell RNA sequencing （scRNA-seq） data from normal tissues （Norm） and PVTT cells were downloaded from the gene expression omnibus （GEO） database， integrated， and annotated. CellChat was used to infer intercellular communication and compare pathway activities to screen significantly differential candidate ligand-receptor axes. Multiplex immunofluorescence （mIF） was then performed to evaluate the spatial distribution of signals related to candidate axes at the tissue level. The expression of key ligands and receptors was validated by qPCR and flow cytometry in peripheral blood-derived CD8⁺ T cells and the human hepatic stellate cell line LX-2. Functional effects were further assessed in vitro using recombinant proteins and antagonists or neutralizing blockers. ResultsThe analysis revealed strong bidirectional communication between CD8⁺ T cells and activated hepatic stellate cells （aHSCs） in PVTT. The SPP1-CD44 axis was the most prominent in the direction from CD8⁺ T cells to aHSCs， whereas the MIF-（CD74+ CD44） axis was strongly supported in the opposite direction. These axes were consistently supported by bioinformatic screening， tissue spatial analysis， and cellular or functional validation. ConclusionThe SPP1-CD44 and the MIF-（CD74+ CD44） axes may collectively shape the immunosuppressive tumor microenvironment （ITME） of PVTT through stromal activation and T-cell functional reprogramming， suggesting potential targets for improving immunotherapeutic responsiveness in patients with PVTT.

Objective To analyze the epidemiological characteristics and risk factors of chronic kidney disease in patients with 10 years of hypertension. Methods A total of 350 patients with 10 years or longer course of hypertension who underwent physical examination in the Second Affiliated Hospital of Air Force Medical University from June 2021 to June 2024 were selected. General information of the patients was collected through questionnaires. Renal function related indicators and imaging results were obtained through relevant laboratory tests and imaging examinations. Based on the results of renal function related indicators, the epidemiological characteristics of chronic kidney disease in hypertensive patients with 10 years of hypertension, as well as risk factors for chronic kidney disease in the hypertensive patients were identified. Results Among the 350 patients enrolled in this study, there were 71 (20.29%) with proteinuria, 32 (9.14%) with hematuria, and 40 (11.43%) with decreased renal function. A total of 80 (22.86%) cases with structural variations such as kidney stones and cysts were detected by renal B-mode ultrasound. There were 121 (34.57%) patients with hypertension and chronic kidney disease. There were statistically significant differences in gender, age, diabetes, hyperlipidemia and hyperuricemia between patients with chronic kidney disease and those without (P<0.05). Multivariate logistic regression analysis results showed that gender, age, diabetes, hyperlipidemia, and hyperuricemia were the risk factors for chronic kidney disease in patients with hypertension (P<0.05). Conclusion Patients with 10 years of hypertension have a high risk of chronic kidney disease, and the risk factors include gender, age, diabetes, hyperuricemia, and hyperlipidemia.

Based on the medical AI solution system constructed by the DeepSeek series of large models(including but not limited to the R1/V3 versions),the innovative application of the DeepSeek in the medical field and its transformative impact on hospital management were systematically explored.Focusing mainly on the practical utility of this technology in medical process optimization,auxiliary decision and diagnosis and treatment support,and operation management.It deeply analyzes the practical application and compliance development path of DeepSeek in the field of hospital management.It aims to provide reference suggestions and guidance plans for optimizing and enhancing the DeepSeek in empowering hospital management.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To analyze the changes in the costs of hospital rehabilitation after the reform of health insurance payments in the past 6 years, and to identify relevant factors which can provide a reference for the reform of the health insurance payment system in rehabilitation department.Methods:Information on 16, 827 patients hospitalized in the rehabilitation department of The First Affiliated Hospital of Xi′an Jiaotong University between May 2018 and May 2024 was collected and subjected to non-parametric analysis.Results:The average hospitalization cost of rehabilitation department patients over the six years was Y14, 574.92±10, 524.79. During that time the proportion of the cost attributable to Western medicine decreased from 17.1% in 2018 to 7.6% in 2024. The proportion of the patients with hypertension was 51.94%, followed by diabetes mellitus (20.10%). Those with infections had the highest total hospitalization costs. Motor disorders were the most common dysfunction (59.02%), followed by speech disorders (17.45%). Patients with swallowing disorders had the highest hospitalization costs. After the payment system shifted from fee-for-service (FFS) to payment by diagnosis-related group (DRG) in 2023, the average daily inpatient expenditures for rehabilitation patients with all types of diseases gradually declined, reaching its lowest level in 2024.Conclusions:After the health insurance payments shifted from FFS to DRG, the proportion of in patients′ total drug costs decreased annually, and the average daily costs of patients with different types of diseases also decreased significantly, but the comprehensive service fee and diagnostic costs increased.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Background:To compare the efficacy and safety of monthly administrations of gonadotropin releasing hormone (GnRH) agonists LY01005 and Zoladex ? in Chinese patients with premenopausal breast cancer. Methods:From October 2020 to November 2021, 188 premenopausal breast cancer patients were enrolled in 34 hospitals and randomized 1:1 to receive either LY01005 or Zoladex ? every 28 days for a total of three injections. All patients concomitantly received oral tamoxifen (TAM). The primary efficacy endpoint was cumulative probability of maintaining menopausal level [oestradiol (E2) ≤30 pg/ml] from day 29 to day 85. The second efficacy endpoint included changes in E2, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) compared with the baseline. Pharmacokinetics (PK), pharmacodynamics (PD), and safety were analyzed. The study also evaluated the pharmacokinetic and pharmacodynamic characteristics of LY01005. Results:A total of 188 patients were randomised and 187 patients received either LY01005 or Zoladex ?. Cumulative probabilities of maintaining menopausal level (E2≤30 pg/ml) from day 29 to day 85 were 93.1% for LY01005 and 86.3% for Zoladex ?. The between-group difference was 6.8% (95% CI: -2.3%, 15.9%) and primary efficacy in the LY01005 group was not inferior to that in the Zoladex ? group. Changes in E2, LH, and FSH levels compared with the baseline were equivalent between the two groups (E2: 89.34% to 90.23% vs. 82.11% to 85.02%; LH: 88.89% to 95.52% vs. 89.70% to 97.02%; FSH: 75.36% to 80.85% vs.73.07% to 80.24%, respectively). After three consecutive doses of LY01005, the LH and FSH levels of the subjects showed a transient increase after the first dose, reached a peak on the second day and then started to decrease. The LH and FSH reached a lower level and remained at or below that level until the 85th day. Both treatments were well-tolerated. Conclusion:LY01005 is as effective as Zoladex ? in suppressing E2 to menopausal levels in Chinese patients with premenopausal breast cancer, with a similar safety profile.

Objectives:The study assessed the relationship between atherogenic index of plasma(AIP)and the rapid progression of coronary non-target lesions.Methods:A total of 1 247 patients with coronary artery disease who underwent two coronary angiography examinations at Fuwai Hospital,Chinese Academy of Medical Sciences between January 2010 and September 2014 were enrolled in this retrospective study.The AIP is defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol.Patients were divided into the high AIP group(n=623)and the low AIP group(n=624)based on the median value of AIP.Lesion rapid progression is defined as an increase of more than 10%in the lumen stenosis of the lesion with a stenosis rate of more than 50%,or an increase of more than 30%in the lumen stenosis rate of the lesion with a stenosis rate of less than 50%,or a progression to total occlusion within 2 years.Results:Median AIP was 0.39(0.23-0.56)in this patient cohort.Rapid progression of non-target lesions occurred in 65(5.21%),including 42(6.74%)in the high AIP group.The Kaplan-Meier curve showed that the cumulative incidence of rapid progression of non-target lesions was higher in the high AIP group than in the low AIP group(HR=1.751,95%CI:1.053-2.912,log-rank P=0.028).In univariate cox analysis,the AIP and high AIP correlated with rapid progression of non-target lesions.After multivariate adjustment,AIP was an independent risk factor for rapid progression of non-target lesions(adjusted HR=2.731,95%CI:1.090-6.844,P=0.032).Conclusions:AIP is an independent risk factor for rapid progression of non-target lesions.AIP should be considered as a biomarker for estimating the risk of cardiovascular disease,along with other traditional risk factors.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.