The promulgation of the Technical Specifications for Clinical Use of Blood (2025 Edition) signifies that China's clinical blood transfusion management has transitioned from mere technical operations to a new stage centered on patient blood management (PBM). Through an in-depth comparison of the new and old specifications, this paper analyzes the core transformations regarding conceptual reconstruction, legal alignment, technological upgrades, and closed-loop management. The new specifications establish PBM principles, reinforce legal safeguards for informed consent and emergency treatment, and construct a comprehensive, refined quality control system by specifying compatibility testing standards and introducing a post-transfusion evaluation system. Medical institutions should seize this opportunity to update management protocols and information systems, deepen multidisciplinary collaboration, and drive the profound transformation of clinical blood use from focusing solely on safety assurance to placing equal emphasis on science and value.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics （ 2026 edition ） in response to the challenges faced by such clinics in China， including uneven development， large discrepancies in service specifications， insufficient patient awareness， and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association， the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association， and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association， a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research， current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections： definition and connotation of pharmacist-managed clinics， establishment requirements， implementation and management， post competency， and practical research. Firstly， the definition and connotation included three operational forms of pharmacist-managed clinics （independent mode， physician-pharmacist joint mode， and online pharmacist-managed clinic mode） and classified service modes （specialty-specific， drug-specific， and disease-specific pharmacist-managed clinics）. The establishment requirements were further refined， covering system construction （pharmaceutical service management system， quality control and assessment mechanism）， personnel qualifications （professional credentials， continuing education and professional training， etc）， service recipients， as well as service venues and facilities. Subsequently， the implementation and management of pharmacist-managed clinics were proposed， involving service procedures， intervention measures， documentation and records， patient education and follow-up， humanistic care， as well as risk management and quality control. Finally， post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics， as well as the suggestions on teaching methods； practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment， management， teaching， and research， fill the guideline gap in this field， and can promote the high-quality development of pharmacist-managed clinics.

ObjectiveTo assess the cost-effectiveness of human immunodeficiency virus (HIV) prevention and control strategies across different high-risk populations, investment levels, and allocation proportions in an area, thereby providing a reference for optimizing resource allocation in acquired immunodeficiency syndrome (AIDS) prevention and control. MethodsDemographic, epidemiological, and clinical progression data of the target population in an area from 2018 to 2024 were collected, along with the input costs and intervention coverage of HIV-related projects. The Optima HIV model was utilized to perform fitting and prediction, whereby the allocation of resources to optimized target populations and program interventions was modeled under varying future investment scenarios to predict the impacts on the reduction of new HIV infections and HIV-related deaths. ResultsUnder the scenario of maintaining the current level of intervention input for HIV key populations, new HIV infections and related deaths in the region were predicted to be controlled at a low level by 2030. In terms of intervention input for HIV key populations, it is suggested that appropriately increasing the intervention input for key HIV populations will further reduce new HIV infections and HIV-related deaths in the region. However, when the total input increases to 1.75 times the baseline level, the marginal effect of input will be saturated. Regarding structural adjustments in investment and considering both the current total investment scenario and 1.75 times the total investment scenario, it is predicted that further reductions in regional HIV new infections and HIV-related deaths can be achieved, provided that the intervention input for key populations (including men who have sex with men, MSM) is increased, while concurrently intensifying the proportion of intervention measures such as condom promotion to form optimized intervention portfolios. ConclusionIn the field of HIV/ AIDS prevention and control, sustained commitment to intervention investment, with a strategic focus on interventions for key populations and intensified implementation of critical intervention measures, will effectively improve the epidemiological impacts of HIV/AIDS prevention and control efforts.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P＜0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P＜0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.

Objective To compare the therapeutic efficacy and identify differences between haploidentical hematopoietic stem cell transplantation combined with mesenchymal stem cells (Haplo-MSC) and umbilical cord blood hematopoietic stem cell transplantation combined with mesenchymal stem cells (UCB-MSC) in mice with bone marrow acute radiation syndrome (ARS). Methods Eight-to ten-week-old CB6F1 mice were exposed to 8 Gy of ⁶⁰Co γ-ray irradiation to establish a bone marrow-type ARS model.The mice were then randomly assigned to three groups: the Haplo-MSC group (haploidentical hematopoietic stem cells combined with MSCs), the UCB-MSC group (umbilical cord blood stem cells combined with MSCs), and a saline control group. The survival rate, peripheral blood cell counts, pathological changes in target organs, colony formation of bone marrow cells, and graft-versus-host disease (GVHD) were observed. Results All mice in the saline control group died within 14 days, with a median survival time of 8.9 days. The 30 day survival rate was 65% in the Haplo-MSC group and 60% in the UCB-MSC group. The Log-rank test showed no significant difference in survival time between the two transplantation groups (P=0.561). At 28 days post-transplantation, no significant differences were observed in WBC, PLT, RBC, or Hb counts between the two groups (P=0.151, 0.733, 0.856, and 0.300, respectively). Pathological changes in bone marrow cells showed that bone marrow failure occurred later in the UCB-MSC group than in the Haplo-MSC group. In contrast, the Haplo-MSC group exhibited faster hematopoietic stem cell engraftment. Furthermore, the numbers of CFU-E, CFU-GM, and CFU-GEMM differed significantly between the two groups (P<0.05). Conclusion Both the Haplo-MSC and UCB-MSC regimens promoted hematopoietic engraftment and reconstitution in mice with lethal-dose radiation-induced bone marrow ARS. However, the onset of bone marrow failure was delayed in mice treated with the UCB-MSC regimen. In contrast, mice treated with the Haplo-MSC regimen showed faster engraftment.

Clonorchis sinensis primarily lives in the host liver and biliary system, leading to serious health issues, such as hepatobiliary lesions and cholangiocarcinoma. Establishment of rapid, sensitive and specific tools is of great significance for early diagnosis and management of clonorchiasis. Recently, molecular biological techniques have been widely used for detection of C. sinensis infections. This review summarizes the advances in the major molecular assays for detection of C. sinensis infections in intermediate and definite hosts, including PCR, loop-mediated isothermal amplification, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins system, and high-throughput sequencing, and summarizes the characteristics and application prospects of these assays, so as to provide precision detection and management of C. sinensis infection.

Background: Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder. Cellular drug screening represents a key approach in the preclinical discovery of AD therapeutics. Moreover, selecting an appropriate cellular model is essential for exploring the mechanisms underlying AD pathogenesis. Objective: This study aimed to establish a progressive strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery for the development of novel therapeutics targeting AD. Methods: A novel AD12 cell line stably expressing the double-transgenic genes amyloid precursor protein (APP)695/presenilin 1(PS1)-ΔE9 was first constructed and subjected to lipopolysaccharide (LPS) stimulation. The resulting LPS-induced neuroinflammatory response was characterized using metabolomic analysis. Subsequently, 16 alkaloids derived from traditional Chinese medicine(TCM) were screened with the LPS-AD12 cell model. Molecular docking was then performed to assess the binding affinity of benzoylaconitine (BAC) with APP and PS1 proteins. A targeted metabolomics approach focusing on amino acids and the tricarboxylic acid (TCA) cycle was applied to BAC-treated LPS-AD12 cells. Finally, aconite extract was administered to five-familial-AD-mutations(5xFAD) transgenic mice, and therapeutic efficacy was evaluated through phenotypic and metabolomic analyses. Results: LPS stimulation induced neuroinflammation in AD12 cells, characterized by elevated levels of interleukin-6, amyloid-β (Aβ ), and PS1. The primary metabolic pathways affected in AD12 cells included alanine, aspartate, and glutamate metabolism, as well as arginine biosynthesis. Notably, BAC significantly reduced the levels of Aβ and interleukin-6 in LPS-AD12 cells. Furthermore, molecular docking analyses revealed a strong binding affinity of BAC with APP and PS1 proteins. Targeted metabolomics analysis indicated that the pharmacological activity of BAC was primarily associated with its anti-inflammatory effects, modulation of the cholinergic signaling pathway, and regulation of energy metabolism. Behavioral experiments in 5xFAD mice, together with immunofluorescence assessments of brain tissues (amyloid-β, glial fibrillary acidic protein, and ionized calcium-binding adapter molecule 1), demonstrated that aconite extract treatment significantly alleviated AD-related symptoms. In addition, metabolomics-based mechanistic analyses revealed that serine, acetylcholine, ornithine, and gamma-aminobutyric acid exhibited consistent trends in both brain tissue and serum samples from treated mice. Conclusion: This study established a novel AD12 cell model and an effective, reliable LPS-induced cell-based screening system. Additionally, we proposed a new drug discovery strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery. This screening system has the potential to accelerate the identification of anti-AD agents and provides a feasible framework for subsequent in-depth investigations into new drug development from TCM, thereby contributing to the modernization of TCM-derived therapeutics.

ObjectiveTo investigate the risk factors for plastic bronchitis （PB） in children with Mycoplasma pneumoniae pneumonia （MPP） and to construct a predictive model. MethodsPropensity score matching （1∶4 nearest neighbor matching） was used to balance baseline data between the two groups. Univariate and multivariate Logistic regression analyses were performed to identify independent risk factors. Various machine learning algorithms were applied to build predictive models， and model performance was evaluated using receiver operating characteristic curves， decision curves， and calibration curves. SHapley Additive exPlanations （SHAP） method was used for model interpretation. ResultsAfter matching， baseline characteristics were comparable between the two groups. Compared with the non-PB group， the PB group had significantly longer fever duration， higher incidence of pleural effusion and right upper lobe involvement， and higher levels of procalcitonin （PCT）， D-dimer， lactate dehydrogenase （LDH）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， immunoglobulin E （IgE）， and red blood cell count in bronchoalveolar lavage fluid （BALF） （all P<0.05）， while lymphocyte and eosinophil counts in blood were significantly lower （P<0.05）. Multivariate Logistic regression showed that PCT>0.207 μg/L， LDH>386.25 U/L， right upper lobe involvement， and red blood cell count in BALF>1 500×10⁶ were independent risk factors. Among machine learning models， the gradient boosting machine （GBM） model achieved an area under the curve of 0.786 in the validation set， demonstrating the best generalization ability. SHAP analysis validated the importance of the above variables. ConclusionThe four indicators above have independent predictive value for PB occurrence， and the GBM model shows certain clinical risk stratification capability.