Objective:To investigate the risk of hospital death in patients with traumatic hemorrhagic shock combined with multiple organ dysfunction syndrome(MODS)predicted by discriminant analysis.Methods:This study was a single-center retrospective study. From January 2013 to May 2023, patients with traumatic hemorrhagic shock complicated with MODS admitted to Peking University People's Hospital were selected as the research objects. According to the in-hospital survival, the patients were divided into survival group (205 cases) and death group (29 cases). The general condition, injury assessment, laboratory indexes, complications and clinical scores of the two groups were compared. Wilks's Lambda stepwise discriminant analysis was used to establish a discriminant model for in-hospital death in patients with traumatic hemorrhagic shock combined with MODS. the Receiver operating characteristic curve (ROC) was drawn and the Area under the curve (AUC) was calculated. The cross-validation method was used to evaluate the accuracy of the prediction results of the established model.Results:There was a statistical difference between the survival group and the death group in terms of the main bleeding site (limbs), the time from injury to hospital admission, temperature, platelet count, prothrombin time, activated partial thrombin time, fibrinogen, albumin, serum creatinine, estimated glomerular filtration rate, uric acid, cardiac troponin I, procalcitonin, base excess, lactate to albumin ratio, glucose to albumin ratio, acute respiratory distress syndrome, acute kidney injury, acute myocardial injury, traumatic induced coagulopathy, ISS, APACHEⅡ score and SOFA scores. There are four indicators entering the final discrimination model: Prothrombin time, ISS score, estimated glomerular filtration rate, lactate to albumin ratio. The AUC for predicting the risk of death in patients with traumatic hemorrhagic shock combined with MODS was 0.791, and the 95% CI was 0.671 to 0.911. Conclusions:The established discriminant model is highly accurate in predicting the risk of hospital death in patients with traumatic hemorrhagic shock complicated with MODS. Prothrombin time, ISS score, estimated glomerular filtration rate and lactate to albumin ratio were associated with an increased risk of death from traumatic hemorrhagic shock with MODS.

Objective To explore the cost effectiveness of osimertinib and gefitinib in the treatment of advanced non-small cell lung cancer （NSCLC） with epidermal growth factor receptor （EGFR） mutation. Methods A total of 52 advanced NSCLC patients with EGFR mutation treated by osimertinib were selected as group A from June 2021 to August 2022 at the Chengde Central Hospital, and 52 patients treated by gefitinib were selected as group B according to the propensity score matching method in 1∶1 ratio. The treatment cost and effect of the two groups of patients were compared, and the cost-effectiveness ratio was calculated, and sensitivity analysis was conducted. Results The total effective rate of group A was higher than that of group B （90.38% vs 71.15%, χ²=6.190, P=0.013）. The drug cost and total treatment cost of group A were higher than those of group B（P<0.05）, and other direct costs were lower than those of group B （P<0.05）. The incremental cost effectiveness ratio of group A was 374.71. After the cost-effectiveness sensitivity analysis on adjusting drug costs to decrease by 10% and the total effective rate to decrease by 10% of the two groups, the sensitivity analysis results were basically consistent with the original results. Conclusion Based on the latest prices and actual case data of osimertinib and gefitinib, osimertinib was better than gefitinib in the treatment of advanced NSCLC patients with EGFR mutation. Although gefitinib had lower treatment costs, osimertinib had more cost effectiveness advantages. These findings could provide important reference for the clinical development of treatment plans for advanced NSCLC patients with EGFR mutations.

Objective:To explore latent class of symptoms related to psychological trauma and characteristics in patients with pregnancy loss, and to analyze the related influencing factors.Methods:From July 2022 to June 2024, a convenience sampling method was used to select 709 cases of pregnancy loss patients who visited the Maternity Department of the First Affiliated Hospital of Zhengzhou University as the survey subjects. The survey was conducted using the general information questionnaire, the post-traumatic stress disorder (PTSD) self-assessment scale, the hospital anxiety and depression scale, and the pittsburgh sleep index scale. Exploratory latent class analysis (LCA) of symptoms related to psychological trauma was performed by Mplus8.3, and then multivariate logistic regression was used to identify the factors influencing the latent classes.Results:A total of 691 patients with pregnancy loss were eventually investigated, with a total PTSD score of 24.00 (19.00, 33.00), a total anxiety score of 6.00 (3.00, 9.00), a total depression score of 6.00 (3.00, 9.00), and a total sleep disorder score of 7.00 (4.00, 9.00). Symptoms related to psychological trauma could be classified into 3 potential categories named high symptom group [20.4% (141/691)], anxiety-depression group [15.3% (106/691)] and low symptom group [64.3% (444/691)]. The result of multivariate logistic regression analysis showed that per capita monthly household income >8 000 yuan ( OR=0.477, 95% CI: 0.272-0.835, P=0.010) and having a spouse accompanying the patient at the time of admission ( OR=0.352, 95% CI: 0.234-0.532, P<0.001) were protective factors for the high symptom group, and gestational week≥28 weeks ( OR=3.192, 95% CI: 1.619-6.292, P=0.001) and assisted reproductive pregnancy ( OR=1.877, 95% CI: 1.075-3.277, P=0.027) were risk factors for the high symptom group. Conclusion:Symptoms associated with psychological trauma in patients with pregnancy loss have distinct categorical characteristics, and healthcare professionals should focus on patients with pregnancy loss in the high symptom group during hospitalization, and adopt targeted interventions according to the symptoms related to psychological trauma in different categories of patients with pregnancy loss in order to avoid serious psychological problems.

Objective:To investigate the efficacy of low-methoxyl pectin (LMP) combined with early enteral nutrition (EEN) in patients with severe acute pancreatitis (SAP) complicated by acute kidney injury (AKI).Methods:A prospective study was conducted, enrolling 85 patients with SAP complicated by AKI admitted to the First Hospital of Qinhuangdao from January 2022 to December 2023. These patients were randomized into an LMP group ( n=42) and a control group ( n=43) using a random number table. The control group received traditional EEN, while the LMP group received traditional EEN combined with LMP. Nutritional indicators [total protein (TP), albumin (Alb), and prealbumin (PA)], inflammatory markers [C-reactive protein (CRP), interleukin (IL)-1, IL-6, IL-8, and tumor necrosis factor-α (TNF-α)], renal function indicators [creatinine (Cr), estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN), uric acid (UA)], AKI stage, and fecal intestinal flora were compared between these two groups before and 7 days after intervention. Results:After 7 days of intervention, the TP, Alb, and PA levels significantly increased in both groups (all P<0.05); the increases in TP and PA were more significant in the LMP group (both P<0.05), whereas the increase in Alb did not differ significantly between groups ( P>0.05). The levels of CRP, IL-1, IL-6, IL-8, and TNF-α decreased significantly in both groups (all P<0.05),with more significant reductions in the LMP group (all P<0.001). The levels of Cr, eGFR, BUN, and UA improved significantly in both groups (all P<0.05),with more significant improvements in the LMP group (all P<0.05). The incidence of a higher AKI stage in the LMP group was significantly lower than that in the control group( P<0.05), and the incidence of a lower AKI stage was significantly higher than that in the control group ( P<0.001). The fecal counts of Bifidobacterium and Lactobacillus increased significantly while the fecal counts of Enterococcus and Enterobacter decreased significantly in both group (all P<0.001); notably, these changes in bacterial counts were significantly more pronounced in the LMP group ( P<0.001). Conclusions:EEN combined with LMP can significantly enhance nutritional status, reduce inflammatory response, and improve renal function in patients with SAP complicated by AKI.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

AIM:To investigate the potential mechanism of licorice on liver injury induced by Se-men Strychni based on network pharmacology,mo-lecular docking combined with animal experiments,providing an effective strategy for prevention and treatment of liver injury induced by Semen Strych-ni.METHODS:Firstly,the active ingredients of Se-men Strychni and licorice were obtained through the ETCM,TCMSP database and analysis platform,CTD database and literature supplementation.Then,the potential toxic ingredients of Semen Strychni were further screened based on the Swis-sADME platform,and the targets corresponding to the active ingredients were predicted through the SwissTargetPrediction platform.By using the Gene-Cards and OMIM databases to collect DILI-related targets,the potential targets for licorice to alleviate liver injury caused by Semen Strychni were ob-tained.By constructing the active ingredient-target network,the core ingredients of licorice in alleviat-ing liver injury caused by Semen Strychni were screened.The key targets obtained were used to construct and analyze the protein-protein interac-tion networks(PPI)through the STRING database and Cytoscape 3.9.0 software.The potential targets were subjected to GO and KEGG pathway enrich-ment analysis with the aid of the DAVID database,and constructed a network of active ingredient-tar-get-pathway.Molecular docking study was ap-proved for the core targets and the active ingredi-ents by using Schrodinger 2023-1 software,and the visualization operation was conducted through Py-mol.Finally,the regulatory effect of licorice on the key pathway of liver injury caused by Semen Strych-ni was validated by establishing a rat model of liver injury induced by Semen Strychni.RESULTS:After screening,6 potential toxic components of Semen Strychni and 104 corresponding targets,89 active components of licorice and 347 corresponding tar-gets,and 3 200 DILI targets were obtained.A total of 23 intersection targets were obtained through Venn analysis.By constructing the active ingredi-ent-target network,it was found that the main core ingredients were 7-methoxy-2-methyl isofla-vone,medicarpin,shinpterocarpin,quercetin,for-mononetin and isoliquiritigenin.The PPI network indicated that the core targets were protein kinase B1(AKT1),epidermal growth factor receptor(EG-FR),human epidermal growth factor receptor 2(ERBB2),glycogen synthase kinase 3 beta(GSK3B),kinase insert domain receptor(KDR)and Janus ki-nase 2(JAK2).A total of 39 relevant pathways were enriched in KEGG(P＜0.01),among which the phos-phatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)(PI3K-AKT)signaling pathway,which has been confirmed and ranks first in enrichment,and was closely related to liver injury.Molecular docking re-sults showed that the core components have good binding ability with the core targets.In vivo animal experiments demonstrated that,compared to the model group,licorice significantly reduced the liver index(P＜0.01),serum levels of alkaline phospha-tase(ALP),alanine aminotransferase(ALT),aspar-tate aminotransferase(AST),indirect bilirubin(IBIL),and total bilirubin(TBIL)in rats with liver in-jury,while increasing total protein(TP)levels(P＜0.05 or P＜0.01).Additionally,licorice alleviated con-gestion in the central veins and hepatic sinusoids,improved the alignment of hepatocytes,and re-duced inflammatory cell infiltration.Furthermore,licorice significantly decreased the levels of malo-ndialdehyde(MDA),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and interleukin-6(IL-6)in the liver tissue of injured rats,while elevating the levels of superoxide dismutase(SOD)and glutathi-one peroxidase(GSH-Px)(P＜0.01).It also markedly downregulated the phosphorylation levels of PI3K and AKT(P＜0.01).CONCLUSION:Licorice has multi-component and multi-target properties in the treat-ment of liver injury induced by Semen Strychni,which may play a hepatoprotective role by inhibit-ing the activation of PI3K-AKT signaling pathway.

OBJECTIVE: To explore the feasibility of establishing a temporary trauma team led by trauma experts in primary hospitals for disaster medical rescue. METHODS: In the coal mine flooding accident in Xiaoyi City, Shanxi Province on December 15, 2021, according to the local emergency plan and the characteristics of the accident, the trauma experts trained the medical staff from the local primary hospital on advanced trauma life support (ATLS) and damage control surgery (DCS) in the short time interval between the occurrence of the mine disaster and the admission of medical staff to the disaster scene. A temporary trauma team composed of trauma experts, ATLS team, and DCS team was formed to provide early diagnosis and treatment for survivors before and in the hospital. RESULTS: The miners were found on the 36th hour of the disaster. All 22 miners were male, and 2 died underground. Another 20 people were rescued 39－43 hours after the disaster, with a median age of 48 years (34-57 years). All the survivors suffered from hypothermia, dehydration, maceration of feet and other injuries. There were 18 cases of acute inhalation tracheobronchitis, 14 cases of electrolyte acid-base disturbance, 6 cases of trunk contusion, 1 case of psoas major hematoma, and 1 case of lower extremity hematoma. Deep vein thrombosis was in 4 cases. The ATLS team focused on injury assessment, rewarming and rehydration within 50－60 minutes before admission, and completed auxiliary examinations within 2 hours after admission to clarify the diagnosis. The DCS team evaluated 6 patients with mechanical blunt trunk injury and excluded the indication of emergency surgery. The trauma experts conducted the whole process of supervision and quality control of disaster rescue. The positive rate of capillary refill test in the all survivors at the third hour of admission was significantly lower than that immediately after being rescued (75.0% vs. 15.0%, P=0.000 3), and they were discharged 4－7 days after admission. CONCLUSION Under the leadership of trauma experts and relying on the medical staff of primary hospitals, it is feasible to establish and train a temporary trauma team with ATLS and DCS functions to participate in the medical rescue of disasters, which is in line with the current national conditions of China.
Humans ; Adult ; Middle Aged ; Male ; Rescue Work/organization & administration* ; China ; Disasters ; Patient Care Team/organization & administration* ; Wounds and Injuries/therapy* ; Advanced Trauma Life Support Care/organization & administration* ; Disaster Planning/organization & administration* ; Emergency Medical Services/organization & administration*

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network information. To comprehensively consider network information, we propose DHGT-DTI, a novel deep learning-based approach for DTI prediction. Specifically, we capture the local and global structural information of the network from both neighborhood and meta-path perspectives. In the neighborhood perspective, we employ a heterogeneous graph neural network (HGNN), which extends Graph Sample and Aggregate (GraphSAGE) to handle diverse node and edge types, effectively learning local network structures. In the meta-path perspective, we introduce a Graph Transformer with residual connections to model higher-order relationships defined by meta-paths, such as "drug-disease-drug", and use an attention mechanism to fuse information across multiple meta-paths. The learned features from these dual perspectives are synergistically integrated for DTI prediction via a matrix decomposition method. Furthermore, DHGT-DTI reconstructs not only the DTI network but also auxiliary networks to bolster prediction accuracy. Comprehensive experiments on two benchmark datasets validate the superiority of DHGT-DTI over existing baseline methods. Additionally, case studies on six drugs used to treat Parkinson's disease not only validate the practical utility of DHGT-DTI but also highlight its broader potential in accelerating drug discovery for other diseases.

Objective To explore and address the issue of insufficient segmentation accuracy in liver tumor segmentation using the traditional U-Net algorithm,which is caused by the lack of contextual information for both the liver and tumor,as well as the large morphological variability of tumors.Methods A cascaded liver tumor segmentation algorithm,DDR-UNet++,which integrated dilated convolutions and residual modules was proposed.Firstly,CT images from the LiTS-2017 dataset were preprocessed through window width/level adjustment,histogram equalization and Gaussian filtering to reduce noise and smooth edges.Then,a cascaded liver segmentation model was employed to enhance the liver region proportion,mitigate interference from surrounding tissues and address data imbalance issue.For liver tumor segmentation,deformable dilated convolutions and residual networks were introduced to expand the receptive field and improve feature extraction capability.Results DDR-UNet++outperformed the traditional U-Net on the LiTS-2017 dataset,achieving improvements of 4.7%,1.7%,and 8.5%in Dice similarity coefficient,relative volume difference,and Jaccard index,respectively.These enhancements contribute to overcoming the inefficiency and low accuracy issues in conventional tumor segmentation,thereby improving early tumor detection rates,enhancing patient survival outcomes,and alleviating the diagnostic burden on clinicians.Conclusion The proposed method improves the feature extraction capability to some extent by enhancing the model structure and segmentation strategy,effectively increases the accuracy and robustness of liver tumor segmentation,and provides a reliable technical reference for clinical auxiliary diagnosis.