Objective: To explore the application effectiveness of healthcare failure mode and effect analysis (HFMEA) in optimizing intelligent blood logistics transport pathways for safety assurance. Methods: Data from 1 851 cases of intelligent blood logistics transport were collected between September 2023 and March 2025. Based on the implementation phases of HFMEA measures, the cases were divided into a control group (n=120), observation group 1 (n=219), and observation group 2 (n=1 512). Through systematic analysis of the transport processes, hazard scoring and decision tree analysis were conducted for each process, and phased optimization measures were implemented for high-risk failure modes. Results: The transport duration of intelligent blood logistics was 35.5 (20.8, 71.1) min in the control group, 25.1 (10.9, 40.7) min in observation group 1, and 9.9 (4.2, 44.5) min in observation group 2. Observation group 2 exhibited significantly shorter transport time compared to both observation group 1 and the control group, with statistically significant differences between groups (P<0.000 1). Conclusion: The implementation of HFMEA-driven measures significantly reduced intelligent blood logistics transport duration, thereby fostering the evolution of smart hospital ecosystems while enhancing healthcare service quality and operational efficiency.

Based on the theory of "shaoyang（少阳） resembling the pivot" and collateral diseases， this article proposes that pulmonary fibrosis （PF） can be divided into three stages including wind bi （痹）， constraint bi， and atrophy bi. The core pathogenesis of PF is the obstruction of the pivot and pulmonary collateral obstruction. In terms of treatment， the basic principles are to harmonize and regulate the pivot， and to promote the circulation of the lung collaterals. Depending on the different characteristics of the "essence-attribute-function"， treatment methods such as harmonizing and regulating the pivot， resolving phlegm and removing stasis， supplementing deficiency and harmonizing collaterals are suggested. This approach ensures the regulation of the pivot， smooth circulation of qi and blood， unblocking of the lung collaterals and nourishing the lung body， achieving the goals of balancing the ascending and descending of qi， removing phlegm and stasis， and relieving cough and wheezing.

To conduct a bibliometric and keyword analysis on the domestic and international literature of medical artificial intelligence （AI） ethics， explore the research frontiers， hotspots， and development trends in this field， and provide references for promoting the construction of China’s ethical governance system on medical AI. Utilizing CiteSpace software， a comparative analysis was conducted between the reviewed domestic and international literature regarding their publication volume， author and institutional collaboration networks， as well as keyword co-occurrence， clustering， timeline graph， and burst， to explore the research hotspots and development trends in the field. A total of 2 393 Chinese and English publications were included. In recent years， research topics in medical AI ethics both domestically and internationally focused on three aspects， encompassing their theoretical research， emerging domains and their ethical risks， as well as the ethical governance and regulation of medical AI. International research hotspots included federated learning， computer-aided detection， informed consent， and other aspects， whereas domestic research hotspots were smart healthcare， responsibility ethics， ethical values， and other aspects. Internationally， greater attention was placed on ethical issues concerning population health and healthcare in the public health domain， whereas domestic research topics tended to focus more on theoretical discussions and the establishment of ethical principles. The ethical governance of medical AI represents a shared global challenge， necessitating enhanced research into both the variances and commonalities in this field.

Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ²=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ²=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.

Tangye Jingfa Tu is an important content in the ancient book Fuxingjue from Dunhuang， implying the fundamental principles of formula compatibility in traditional Chinese medicine （TCM）. Our research group has delved into nearly 200 formulas （both classical and contemporary formulas） recorded in the Fangjixue under the theoretical framework of the deficiency or excess syndrome of five Zang-organs together with the reinforcing and reducing effects of Chinese medicinal materials of five flavors. We have initially elucidated the essential principles of the correspondence between formulas and syndromes， revealing the deep-level logic of medicinal material selection and compatibility， thus enriching the understanding about the core characteristics and essence of the diseases and syndromes targeted by formulas. The lunar year of 2024 is Jia Chen year. The formula recorded in Sanyin Jiyi Bingzheng Fanglun for treating the epidemic diseases characterized by excessive earth， prevalent dampness and wetness， and invasion of pathogenic factors into the kidney water in Jia Chen year is Fuzi Shanzhuyutang. Therefore， elucidating the compatibility principle of Fuzi Shanzhuyutang is of great significance for clinical prescription and medication modification in Jia Chen year. According to the Tangye Jingfa Tu theory on the deficiency or excess of syndrome of five Zang-organs and the reinforcing and reducing effects of Chinese medicinal materials of five flavors， this article dissects Fuzi Shanzhuyutang regarding the etiology and pathogenesis of the main indications， as well as the five-element properties and efficacy characteristics of Chinese medicinal materials constituting this formula. It explains the compatibility principles of Fuzi Shanzhuyutang and puts forward suggestions for modifying the formula to address different indications， providing a reference for guiding clinical syndrome differentiation and treatment.

Tangye Jingfa Tu is an important content in the ancient book Fuxingjue from Dunhuang， implying the fundamental principles of formula compatibility in traditional Chinese medicine （TCM）. Our research group has delved into nearly 200 formulas （both classical and contemporary formulas） recorded in the Fangjixue under the theoretical framework of the deficiency or excess syndrome of five Zang-organs together with the reinforcing and reducing effects of Chinese medicinal materials of five flavors. We have initially elucidated the essential principles of the correspondence between formulas and syndromes， revealing the deep-level logic of medicinal material selection and compatibility， thus enriching the understanding about the core characteristics and essence of the diseases and syndromes targeted by formulas. The lunar year of 2024 is Jia Chen year. The formula recorded in Sanyin Jiyi Bingzheng Fanglun for treating the epidemic diseases characterized by excessive earth， prevalent dampness and wetness， and invasion of pathogenic factors into the kidney water in Jia Chen year is Fuzi Shanzhuyutang. Therefore， elucidating the compatibility principle of Fuzi Shanzhuyutang is of great significance for clinical prescription and medication modification in Jia Chen year. According to the Tangye Jingfa Tu theory on the deficiency or excess of syndrome of five Zang-organs and the reinforcing and reducing effects of Chinese medicinal materials of five flavors， this article dissects Fuzi Shanzhuyutang regarding the etiology and pathogenesis of the main indications， as well as the five-element properties and efficacy characteristics of Chinese medicinal materials constituting this formula. It explains the compatibility principles of Fuzi Shanzhuyutang and puts forward suggestions for modifying the formula to address different indications， providing a reference for guiding clinical syndrome differentiation and treatment.

This study explored the mechanism of Xiangsha Liujunzi Decoction(XSLJZD) in the treatment of functional dyspepsia(FD) based on inositol-requiring enzyme 1(IRE1)/apoptosis signal-regulating kinase 1(ASK1)/c-Jun N-terminal kinase(JNK) pathway-mediated autophagy in interstitial cells of Cajal(ICC). Forty-eight SPF-grade male SD suckling rats were randomly divided into a blank group and a modeling group, and the integrated modeling method(iodoacetamide gavage + disturbance of hunger and satiety + swimming exhaustion) was used to replicate the FD rat model. After the model replications were successfully completed, the rats were divided into a model group, high-dose, medium-dose, and low-dose groups of XSLJZD(12, 6, and 3 g·kg~(-1)·d~(-1)), and a positive drug group(mosapride of 1.35 mg·kg~(-1)·d~(-1)), and the intervention lasted for 14 days. The gastric emptying rate and intestinal propulsion rate of rats in each group were measured. The histopathological changes in the gastric sinus tissue of rats in each group were observed by hematoxylin-eosin(HE) staining. The ultrastructure of ICC was observed by transmission electron microscopy. The immunofluorescence double staining technique was used to detect the protein expression of phospho-IRE1(p-IRE1), TNF receptor associated factors 2(TRAF2), phospho-ASK1(p-ASK1), phospho-JNK(p-JNK), p62, and Beclin1 in ICC of gastric sinus tissue of rats in each group. Western blot was used to detect the related protein expression of gastric sinus tissue of rats in each group. Compared with those in the blank group, the rats in the model group showed decreased body weight, gastric emptying rate, and intestinal propulsion rate, and transmission electron microscopy revealed damage to the endoplasmic reticulum structure and increased autophagosomes in ICC. Immunofluorescence staining revealed that the ICC of gastric sinus tissue showed a significant elevation of p-IRE1, TRAF2, p-ASK1, p-JNK, and Beclin1 proteins and a significant reduction of p62 protein. Western blot revealed that the expression levels of relevant proteins in gastric sinus tissue were consistent with those of proteins in ICC. Compared with the model group, the body weight of rats in the high-dose and medium-dose groups of XSLJZD was increased, and the gastric emptying rate and intestinal propulsion rate were increased. Transmission electron microscopy observed amelioration of structural damage to the endoplasmic reticulum of ICC and reduction of autophagosomes, and the p-IRE1, TRAF2, p-ASK1, p-JNK, and Beclin1 proteins in the ICC of gastric sinus tissue were significantly decreased. The p62 protein was significantly increased. Western blot revealed that the expression levels of relevant proteins in gastric sinus tissue were consistent with those of proteins in ICC. XSLJZD can effectively treat FD, and its specific mechanism may be related to the inhibition of the expression of molecules related to the endoplasmic reticulum stress IRE1/ASK1/JNK pathway in ICC and the improvement of autophagy to promote gastric motility in ICC.
Animals ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Autophagy/drug effects* ; Rats ; Rats, Sprague-Dawley ; Interstitial Cells of Cajal/metabolism* ; Dyspepsia/physiopathology* ; Protein Serine-Threonine Kinases/genetics* ; MAP Kinase Kinase Kinase 5/genetics* ; MAP Kinase Signaling System/drug effects* ; Humans ; Endoribonucleases/genetics* ; Multienzyme Complexes

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis

Most current medical image segmentation models are primarily built upon the U-shaped network (U-Net) architecture, which has certain limitations in capturing both global contextual information and fine-grained details. To address this issue, this paper proposes a novel U-shaped network model, termed the Multi-View U-Net (MUNet), which integrates self-attention and multi-view attention mechanisms. Specifically, a newly designed multi-view attention module is introduced to aggregate semantic features from different perspectives, thereby enhancing the representation of fine details in images. Additionally, the MUNet model leverages a self-attention encoding block to extract global image features, and by fusing global and local features, it improves segmentation performance. Experimental results demonstrate that the proposed model achieves superior segmentation performance in coronary artery image segmentation tasks, significantly outperforming existing models. By incorporating self-attention and multi-view attention mechanisms, this study provides a novel and efficient modeling approach for medical image segmentation, contributing to the advancement of intelligent medical image analysis.
Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Algorithms ; Attention ; Coronary Vessels/diagnostic imaging* ; Diagnostic Imaging/methods*

OBJECTIVE: To determine risk factors for cutout failure in geriatric intertrochanteric fracture patients after cephalomedullary nail fixation. METHODS: A retrospective review of 518 elderly patients who underwent cephalomedullary nail fixation for intertrochanteric fractures between January 2008 and August 2018 was conducted, including 167 males and 351 females, age from 65 to 97 years old. All patients were followed up for at least one year after surgery and divided into a healed group and a cutout group based on whether the hip screw cutout occurred. Among all patients, 10 cases experienced hip screw cutout. The general information, surgical data, and radiological data of the two groups were compared, and risk factors influencing hip screw cutout were analyzed. Propensity score matching was then performed on the cutout group based on gender, age, body mass index(BMI), and American Society of Anesthesiologists(ASA), and 40 patients from the healed group were matched at a ratio of 1∶4. Key risk factors affecting hip screw cutout were further analyzed. Multivariable logistic regression analysis was conducted to evaluate associations between variables and cutout failure. RESULTS: There were no statistically significant differences between the healed group and the cutout group in terms of age, gender, BMI, ASA, and AO classification. However, statistically significant differences were observed between the two groups in terms of reduction quality(P=0.003) and tip-apex distance(TAD), P<0.001. Multivariate analysis identified poor reduction quality OR=23.138, 95%CI(2.163, 247.551), P=0.009 and TAD≥25 mm OR=30.538, 95%CI(2.935, 317.770), P=0.004 as independent risk factors for cutout failure. CONCLUSION The present study identified poor reduction quality and TAD≥25 mm as factors for cutout failure in geriatric intertrochanteric fractures treated with cephalomedullary nails. Further studies are needed to calculate the optimal TAD for cephalomedullary nails.
Humans ; Male ; Female ; Hip Fractures/surgery* ; Aged, 80 and over ; Aged ; Risk Factors ; Retrospective Studies ; Fracture Fixation, Intramedullary/adverse effects* ; Bone Nails ; Bone Screws