Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

ObjectiveTo explore the potential mechanisms by which Myristica fragrans prevents and treats atherosclerosis （AS）. MethodsThe major active components of Myristica fragrans and their shared targets with AS were obtained from databases. The shared targets were subjected to pathway enrichment analysis and PPI network construction using the ClusterProfile package and the STRING database. Molecular docking between key targets and major active components was performed using AutoDock. Gene expression data from early and late， as well as stable and unstable AS plaques， were used to validate changes of key targets and major pathways during AS progression. Western blot， flow cytometry， YO-PRO-1/PI staining， and TUNEL staining were applied to verify the main mechanisms. ResultsNine active components of Myristica fragrans interacted with 293 AS-related targets， among which eight components acted on an average of 57.0% of the shared targets. Gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analyses indicated that the anti-AS effects mainly involved oxidative stress， inflammation， lipid metabolism， fluid shear stress， and apoptosis pathways. PPI network revealed JUN， CASP3， MAPK3， and AKT1 as key targets mainly involved in regulating apoptosis. Molecular docking showed stable binding conformations and high affinities between major components and these targets. Integrated analysis of gene expression in early and late， as well as stable and unstable AS plaques， showed significant enrichment of leukocyte apoptosis pathways in late and unstable plaques. Cell experiments further confirmed that Myristica fragrans significantly reduced Cleaved-CASP3（P=0.04）and p-MAPK3（P=0.000 3）levels， increased p-AKT1（P=0.004）levels， and inhibited macrophage apoptosis. ConclusionMyristica fragrans potentially interferes with AS development by modulating pathways related to oxidative stress， inflammation， lipid metabolism， fluid shear stress， and apoptosis， with CASP3， MAPK3， and AKT1 serving as key targets mediating its anti-apoptotic and anti-AS effects.

Mitophagy is a specific type of autophagy that selectively eliminates damaged mitochondria to maintain mitochondrial activity and cellular homeostasis.In recent years,regulating mitophagy to preserve normal cellular functions has gradually become an important preventive and therapeutic strategy for many diseases.Macrophages are key participants in the formation of atherosclerosis(AS)plaques.Studies have shown that mitophagy may be involved in the development of AS by regulating macrophage homeostasis and physiological functions.This review summarizes the mechanisms by which mitophagy regulates macrophage lipid metabolism,inflammation,senescence,apoptosis and pyroptosis in AS,aiming to provide a new theoretical basis for mitophagy-mediated regulation in AS.

Objective To explore the application value of fractional anisotropy(FA)analysis of RGB component transformation in different directions of fibers in substantia nigra in Parkinson's disease(PD).Methods There were 35 cases of PD and 37 cases of normal control group.After being performed by brain diffusion tensor imaging(DTI)scanning,the sequence was imported into 3DSlicense 5.6.0,and the diffusion module was used to implement pseudo color mapping based on FA,locate and segment substantia nigra,and use the substantia nigra mask as the tracking starting point.After forming tracing,fibers were imported into DTIANALYSIS 1.51,converting the RGB components into FA values for analysis,and visualized the analysis result.At the same time,fiber length,fiber density,and segmented FA point cloud percentage were compared.Results Compared with the normal group,the length of substantia nigra fibers in the PD group was shorter[(95.14±19.85)mm vs(115.99±21.39)mm,P＜0.01],and there was a statistical difference between the two groups.There was no statistical difference in fiber density[(0.07±0.05)/mm3 vs(0.10±0.12)/mm3,P＞0.05]between control group and PD group.The percentage of FA segment point clouds in the PD group was lower than that in the normal group at 0.9-1,but the principal component characteristics of the point cloud ratios in each FA segment were not significant.Conclusion Based on the transformation of RGB components into FA analysis,the length,density,and FA values of substantia nigra nerve fibers in PD patients can be quantified and visualized,providing a basis for the study of PD neural pathways.

Objective To discuss the curative effect of hepatic arterial infusion chemotherapy(HAIC)combined with programmed death receptor-1(PD-1)inhibitors and anti-angiogenesis therapy for BCLC stage C hepatocellular carcinoma(HCC).Methods The patients with HCC of BCLC stage C,who received HAIC combined with PD-1 inhibitors and anti-angiogenesis therapy at the First Affiliated Hospital of Soochow University of China from January 2021 to December 2023,were collected for this study.The time from the start of treatment to complete remission(CR)of disease,the dynamic changes in alpha-fetoprotein(AFP)levels and the recurrence during follow-up period were analyzed.The relevant literature of the above triple regimen for HCC was searched from PubMed database and its curative effect was analyzed.Results Of the 214 HCC patients treated with triple therapy regimen,9(4.2％)achieved CR.The time from the start of treatment to CR was 2-10 months.The patients were followed up for 5-20 months.The time of AFP level returning to normal value was from 79 to 259 days.One patient developed recurrence 10 months after CR,and the other 8 patients maintained the CR status.A total of 12 articles were retrieved,the reported CR rates ranged from 0 to 16.5％.Conclusion A CR can be achieved in a few patients with advanced HCC treated with HAIC combined with PD-1 inhibitors and anti-angiogenesis therapy.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective To explore the medicinal mechanism of Actinidia Chinensis Planch Radix(ACPR)in the treatment of colorectal cancer(CRC)by network pharmacology and molecular docking technology.Methods The genes involved in the effects of the main chemical components and disease genes of ACPR were screened from the TCM database and disease database.The main genes were analyzed through protein interaction network analysis,and molecular docking was performed on the main chemical components and key targets.The effects of the drug on tumor cells were measured,and the levels of key proteins in the signaling pathway were detected.Results The primary components of ACPR for treating CRC include quercetin,β-sitosterol,aloe baicalin,and catechin.It targets 144 protein interaction sites and were involved in the protein interaction network,with key genes including AKT1,TP53,MAPK1,JUN,and TNF.The recognition network includes five modules that were involved in various biological processes and signaling pathways.The main components exhibited excellent or good activity when interacting with these targets.At a certain concentration,the drug could inhibit the proliferation,invasion,and migration of colorectal cancer cells and affect the PI3K/AKT signaling pathway.Conclusion ACPR has been used to treat colorectal cancer through multiple pathways and multiple targets,among which the PI3K/AKT signaling pathway may be the mechanism.

Objective:To investigate the causal effects of plasma lipidomics on pancreatitis using Mendelian ran-domization(MR)and evaluate the roles of intra-pancreatic fat deposition(IPFD)and gallstone disease in this relation-ship.Methods:A bidirectional MR analysis was conducted,with 179 plasma lipids as exposures and acute pancreati-tis(AP)and chronic pancreatitis(CP)as outcomes.Data were sourced from genome-wide association studies(GWAS),the UK Biobank,and the FinnGen project.Two-step Mendelian randomization(TSMR)and multivariable Mendelian ran-domization(MVMR)analyses were applied to assess the mediating roles of IPFD and gallstone disease in the associa-tion between plasma lipids and pancreatitis.Results:MR analysis identified two sterols negatively associated with AP(P＜0.05)and seven sterols negatively associated with CP(P＜0.05).One phospholipid showed a positive association with CP(P＜0.05).IPFD was positively associated with both AP and CP.Gallstone disease was confirmed as a risk fac-tor for AP.However,TSMR analysis indicated that neither IPFD nor gallstone disease mediated the relationship be-tween plasma lipids and pancreatitis.Conclusion:The causal relationship exists among plasma lipomics and AP/CP,also between IPFD,cholelithiasis and pancreatitis.These findings highlight novel risk factors and potential biomarkers to support early diagnosis and intervention for pancreatitis.

Objective To investigate the therapeutic potential and prophylactic value of concomitant administration of nonsteroidal anti-inflammatory drug(NSAID)and antimicrobial agents in mitigating the incidence and severity of trauma-induced sepsis.Methods A retrospective cohort study encompassed the collection of clinical records from trauma patients managed in the department of intensive care unit(ICU)of Daping Hospital,Army Medical University(Third Military Medical University)from June 2008 to June 2024.Based on administered therapeutic protocols,patients were stratified into a control group(receiving antibiotic monotherapy)and a experimental group(undergoing adjunctive therapy with NSAID in conjunction with antimicrobial agents).Intergroup comparisons were performed to elucidate differences in baseline clinical characteristics and laboratory indices pertinent to therapeutic outcomes.Results A total of 268 trauma patients were included,with 72 patients in the control group and 196 patients in the experimental group.The majority of cases involved open trauma(67.5%)and injuries sustained from traffic accidents(44.0%),reflecting the principal mechanisms of injury.The respiratory tract was the most common site of infection(67.5%),with Acinetobacter baumannii(A.baumannii)emerging as the leading causative microorganism(18.0%).Among therapeutic agents,ibuprofen represented the most frequently employed NSAID(59.8%),whereas cephalosporins constituted the predominant class of antimicrobials(30.5%).Following intervention,the lymphocyte percentage(LYM%)was markedly elevated in the experimental group relative to control group[0.14(0.09,0.20)vs.0.12(0.09,0.15),P<0.01].In contrast,the levels of white blood cell count(WBC),neutrophil percentage(NEU%),D-dimer,glucose(Glu),and lactic acid(Lac)were significantly reduced[WBC(×109/L):8.82(6.36,12.96)vs.12.10(7.78,15.54);NEU%:0.76(0.67,0.81)vs.0.78(0.72,0.83);D-dimer(μg/L):2208.0(889.5,3301.5)vs.2943.9(1735.4,4997.6);Glu(mmol/L):6.8(6.2,7.9)vs.7.7(6.6,9.2);Lac(mmol/L):0.9(0.6,1.2)vs.1.1(0.8,1.5),all P<0.05].The experimental group demonstrated a significantly reduced incidence of traumatic sepsis compared with the control group[15.8%(31/196)vs.26.4%(19/72),P<0.05].Conclusion The combination of NSAID and antimicrobial agents exerts its protective effect by attenuating inflammatory and stress responses,reestablishing immune homeostasis,correcting coagulopathy,and enhancing tissue perfusion,thereby significantly decreasing the incidence of traumatic sepsis and contributing to improved prognostic outcomes in injured patients.