OBJECTIVE To analyze the clinical characteristics and influential factors of drug-induced liver injury （DILI） in children caused by intravenous azithromycin. METHODS Clinical data of 157 DILI pediatric cases caused by intravenous azithromycin， reported by the Hengshui Adverse Drug Reaction Monitoring Center from January 2015 to January 2025， were collected as the observation group. Clinical data of pediatric patients who received intravenous azithromycin but did not develop DILI during the same period at Hengshui People’s Hospital were collected in a 1∶1 ratio to serve as the control group. The clinical classification， severity and prognosis of DILI in pediatric patients from the observation group were analyzed. Univariate and multivariate Logistic regression analyses were used to screen the independent risk factors for DILI in children caused by intravenous azithromycin. RESULTS Among 157 DILI cases， 92 cases （58.60%） had hepatocellular injury-type， 51 cases （32.48%） had cholestatic-type， and 14 cases （8.92%） had mixed-type. DILI severity was grade 1 in 117 cases （74.52%）， grade 2 in 33 cases （21.02%）， and grade 3 in 7 cases （4.46%）. Liver function had all recovered after stopping medication and symptomatic treatment. Combined with acetaminophen [OR＝3.769， 95%CI （1.615， 8.235）， P＝0.021]， daily dose of azithromycin＞10 mg/kg [OR＝ 2.237， 95%CI （1.075， 4.655）， P＝0.034] were independent risk factors for DILI in children caused by intravenous azithromycin. CONCLUSIONS Hepatocellular injury-type and cholestatic-type are relatively common in children with DILI caused by intravenous azithromycin， with mild severity being predominant and showing a favorable prognosis. Combination with acetaminophen and daily dose＞10 mg/kg are independent risk factors for azithromycin-induced DILI in children.

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 explore the role of semaphorin 4D (Sema4D) in immunoglobulin A (IgA) -mediated immune abnormalities in B lymphocytes of pediatric Henoch-Schonlein purpura (HSP). METHODS: One hundred HSP children admitted to Hengshui People's Hospital from January 2022 to January 2023 were selected as HSP group, and one hundred healthy children as control group. Sema4D expression was detected, and the relationship between Sema4D expression in children's serum and skin lesions and clinical characteristics of children was analyzed. Sema4D expression on the surface of lymphocytes of HSP children was detected. Different concentrations of human recombinant Sema4D protein was used to stimulate peripheral blood mononuclear cells in HSP children in vitro. The expression level of IgA in the supernatant was detected to verify whether Sema4D mediates immune abnormalities through IgA secreted by B lymphocytes. RESULTS: The Sema4D level in the HSP group was significantly higher than that in the control group (P <0.001). Sema4D level in HSP children with severe, renal involvement, and joint involvement was higher than those with mild to moderate disease, and no renal or joint involvement (all P <0.001). Compared with control group, IgA level, CD8 ⁺ T lymphocyte proportion, and CD19 ⁺ B lymphocyte proportion in the HSP group were significantly higher but CD4 ⁺ T lymphocyte proportion was lower (all P <0.001). The expression levels of Sema4D on the surface of CD4 ⁺ T lymphocytes, CD8 ⁺ T lymphocytes, and CD19 ⁺ B lymphocytes in the HSP group were significantly higher than those in the control group (all P <0.001). With the increase of human recombinant Sema4D protein concentration, the level of IgA expression in HSP children gradually increased (P <0.05). Correlation analysis showed that Sema4D was significantly positively correlated with IgA (r =0.667). CONCLUSION HSP children show high expression of Sema4D, especially on the surface of T and B lymphocytes. The shedding of Sema4D from membrane surface may stimulate B lymphocytes to secrete IgA by binding to CD72, leading to immune abnormalities.
Humans ; IgA Vasculitis/immunology* ; Semaphorins/metabolism* ; B-Lymphocytes/metabolism* ; Immunoglobulin A/immunology* ; Child ; Antigens, CD/metabolism* ; Male ; Female ; Child, Preschool

Objective To investigate the effects of qigong abdominal breathing training on human brain function.Methods Seventy-two university students were recruited and randomly divided into the control and treatment groups in a 1:1 ratio. Both the control and treatment groups underwent the same standing pile work operation. However,only the treatment group received additional abdominal breathing training. The intervention process comprised two phases:2 weeks of intensive training and 6 weeks of counseling training. Electrocardiogram and electroencephalogram (EEG) tests were performed before (baseline period) and after training respectively. Sample entropy algorithm and empirical mode decomposition were used to analyze the EEG signals. The sample entropy complexity index and the correlation between EEG changes and respiratory curves were calculated to explore the brain function regulation effect. Results The complexity of different brain regions in the treatment group was higher than that of the control group after training. A large difference was observed when comparing the brain complexity in the temporoparietal junction,posterior temporal,parietal,parietal-occipital junction,and occipital regions. The brain complexity in the posterior temporal region of the treatment group was significantly higher than that of the control group after the intervention,with a significant difference (P<0.05). In the control group,the brain complexity in the frontal pole,anterior temporal,frontal reion,frontal-temporal junction,frontal-central junction,middle temporal,central,and temporal-parietal junction regions decreased to different degrees. However,the comparison between before and after was not significant. Furthermore,brain complexity in the central-parietal junction,posterior temporal,parietal,parietal-occipital junction,and occipital regions increased to different degrees in the control group;however,the difference was not significant. The brain complexity of the treatment group in the frontotemporal junction,middle temporal,and temporoparietal junction areas decreased slightly;however,the before-and-after comparison was not significant. The brain complexity of the treatment group in the frontal pole,frontotemporal,frontal,frontal-central junction,central,central-parietal junction,posterior-temporal,parietal,parietal-occipital junction,and occipital areas increased. The posterior-temporal,parietal,parietal-occipital junction,and occipital areas had more significant increases than the other areas. However,the before-and-after comparison was not significant. In both groups,brain complexity decreased in the frontotemporal junction,middle temporal,and temporoparietal junction areas and increased in the parietal,parieto-occipital junction,and occipital areas. The comparison of complexity between the treatment and control groups in P3 and PO3 leads after training was significant. P3 and PO3 are situated in the parietal region and parieto-occipital junction areas,respectively,indicating that antebellum breathing also affects brain function in these regions. The correlation between the respiratory curve and EEG components was enhanced after training. Conclusion Abdominal breathing training can significantly increase the complexity of the corresponding brain regions (posterior temporal,parietal,and parieto-occipital junction regions),and a significant correlation was observed between the two.

Objective:To analyze the association between waist circumference (WC) and ischemic stroke (IS).Methods:The data for the present study were from the prospective cohort study of China Kadoorie Biobank in Qingdao. Using baseline information and IS events of the participants, the Cox proportional hazard regression model and restricted cubic spline (RCS) were used to analyze the association between WC and IS.Results:A total of 33 355 participants were included in the study, with 302 008.88 person-years of follow-up. A total of 1 093 new cases of IS were observed. Multivariate Cox proportional hazard regression model analysis showed that compared to the respondents with normal WC (male <85.0 cm, female <80.0 cm), respondents with excessive WC (male ≥85.0 cm, female ≥80.0 cm) had a 78% higher risk of IS incidence [hazard ratio( HR)=1.78, 95% CI: 1.51-2.10], and the risk increased by 72% ( HR=1.72, 95% CI: 1.40-2.12) and 83% ( HR=1.83, 95% CI: 1.40-2.39) in men and women. According to the RCS, the increase in WC and the risk of IS showed an "S" trend of nonlinear dose-response relationship. Conclusions:The risk of IS would increase with the WC. Keeping a normal WC is important for preventing IS.

Objective:To investigate the mortality burden among permanent residents in Shenzhen from 2014 to 2021 and to provide scientific evidence for establishing precision disease prevention and control strategy.Methods:Based on the cause-of-death surveillance data, we described the distribution of mortality rate, cause-specific rankings, and years of life lost (YLL) for the total population and subgroups in Shenzhen from 2014 to 2021. The seventh national population census data was used as the standard population to calculate the standardized mortality rate. Joinpoint log-linear regression model was used to analyze the chronic trend of mortality burden.Results:From 2014 to 2021, 49 734 deaths among the permanent population were recorded in Shenzhen, with a 140.90/100 000 average crude mortality rate, standardized as 366.77/100 000. Both the crude mortality rate and standardized mortality rate showed fluctuating increases from 2014 to 2016 [annual percent change (APC)=20.72%, P=0.048, APC=28.59%, P=0.016] and fluctuating decreases from 2016 to 2021 (APC=-1.55%, P=0.317, APC=-1.89%, P=0.190). The mortality rates of the <20 and 20- age groups decreased over time, with a statistically significant decrease observed in the <20 age group [average annual percent change (AAPC)=-11.91%, P<0.001]. The mortality rates of the 40-, 60-, and ≥80 age groups increased over time, with an increase observed in the ≥80 age group from 2014 to 2016 (APC=45.25%, P=0.016) and a decrease from 2016 to 2021 (APC=-2.18%, P=0.280). There was no statistical significance in the mortality rate trend for the remaining age groups (all P>0.05). The top three causes of death among permanent residents in Shenzhen from 2014 to 2021 were consistently malignant tumors, cardiovascular and cerebrovascular diseases, and respiratory system diseases, with crude mortality rates of 49.59/100 000, 47.95/100 000, and 7.90/100 000 respectively in 2021. From 2014 to 2021, 1 003 287.43 YLL were observed, with YLL for the total population, males and females all showing an upward trend (all P<0.001). Conclusions:The mortality burden among the elderly permanent residents in Shenzhen displayed a continuously increasing trend from 2014 to 2021. Strengthening the need for substantial efforts and actions to improve the prevention and control of chronic non-communicable diseases.

Objective:To investigate the association between solid fuel use for heating, smoking, and respiratory diseases.Methods:This study is based on the Qingdao project of the China Kadoorie Biobank. After screening, 26 165 individuals were included in the study. We employed Cox proportional hazards regression models, stratified by risk age (in 5-year intervals) and sex while adjusting for confounding variables such as occupation and physical activity level to analyze the association between solid fuel use for heating, smoking, and increased risk of respiratory diseases.Results:Among the 26 165 participants, the average age of those using solid fuel for heating was (52.57±10.31) years, with females constituting 58.04% and former/current smokers accounting for 65.38%. The results indicated that both the solid fuel group and the former/current smoking group had a higher risk of respiratory diseases, with hazard ratios ( HR) (95% CI) of 1.21 (1.04-1.41) and 1.41 (1.16-1.71), respectively. For the duration of solid fuel use, the HR (95% CI) for 20 years or more, it was 1.27 (1.07-1.51). The multiplicative interaction term between solid fuel use and smoking was statistically significant. Conclusions:The use of solid fuel for heating and smoking significantly increases the risk of respiratory diseases, and there may be a multiplicative interaction between solid fuel use and smoking.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.