Objective To investigate the 30-day mortality risk factors in elderly patients with heart failure with reduced ejection fraction (HFrEF) after isolated coronary artery bypass grafting (CABG) and to construct a nomogram for predicting mortality risk. Methods A retrospective analysis of elderly (≥70 years) HFrEF patients undergoing isolated CABG at Tianjin Chest Hospital from 2010 to 2024 was performed. Simple random sampling in R software was used to divide the dataset into training and validation sets in a 7 : 3 ratio. The training set was further divided into survivors and non-survivors. Univariate logistic regression was performed to identify differences between groups, followed by multivariate logistic regression to select independent risk factors for death and to establish a death-risk nomogram, which underwent internal validation. The predictive value of the nomogram was assessed by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision-curve analyses for both the training and validation sets. Results A total of 656 patients were included. The training set consisted of 458 patients (survivors 418, deaths 40); the validation set consisted of 198 patients (survivors 180, deaths 18). In the training set, univariate analysis showed significant differences between survivors and deaths for creatinine (Cr) level, brain natriuretic peptide (BNP), maximum Cr, intra-aortic balloon pump (IABP) use, assisted ventilation, reintubation, hyperlactatemia, low cardiac output syndrome, and renal failure (P<0.05). After multivariable logistic regression, five independent risk factors were identified: IABP use (OR=3.391, 95%CI 1.065-11.044, P=0.038), reintubation (OR=15.991, 95%CI 4.269-67.394, P<0.001), hyperlactatemia (OR=8.171, 95%CI 2.057-46.089, P=0.007), Cr (OR=4.330, 95%CI 0.997-6.022, P=0.024), and BNP (OR=1.603, 95%CI 1.000-2.000, P=0.010). Accordingly, a nomogram predicting mortality risk was constructed. The ROC and calibration analyses indicated good predictive value: area under the curve (AUC) in the training set was 0.898 (95%CI 0.831-0.966) and in the validation set was 0.912 (95%CI 0.805-1.000). Calibration and decision-curve analyses showed good agreement and clinical utility. Conclusion The nomogram incorporating IABP use, reintubation, hyperlactatemia, creatinine, and BNP provides good predictive value for 30-day mortality after CABG in elderly patients with HFrEF and demonstrates potential clinical utility.

Objective To investigate if Shikonin(SKI)can induce ferroptosis via the ROS/JNK pathway to inhibit the malignant behavior of pancreatic cancer.Methods Human pancreatic cancer PANC-1 or BxPC-3 cells were selected.Drug efficacy experiments were established with a blank control group(Con group)and low,medium,and high dose SKI groups(2,4,8 μmol/L).JNK-related mechanism experiments were categorized into a blank control group(Con group),SKI group,and SKI+JNK inhibitor group(SKI+SP600125 group).ROS-related mechanism experiments were divided into a blank control group(Con group),SKI group,and SKI+ROS scavenger group(SKI+NAC group).Cell viability was assessed using the CCK-8 method to calculate IC50;Transwell experiments evaluated cell migration and invasion capabilities;the C11 BODIPY 581/591 probe was utilized for flow cytometry to detect lipid peroxidation levels,while the FerroOrange fluorescent probe measured ferrous ion levels;ROS levels were determined using a ROS detection kit;the Western blot method identified ferroptosis-related key proteins(SLC7A11,GPX4),apoptosis-related proteins(Caspase3,PARP),and JNK pathway proteins(JNK,p-JNK);an in vivo xenograft tumor model was employed to assess tumor proliferation.Results SKI treatment significantly and dose-dependently inhibited PANC-1 cell viability(IC50:6.04 μmol/L,P<0.0001)and BxPC-3 cell viability(IC50:12.27 μmol/L,P<0.0001),and significantly reduced migrating and invasive cell numbers(P<0.0001),with migration cell numbers dropping to about 30%of the control group at 8 μmol/L SKI treatment(P<0.0001).Mechanistically,SKI induced increased intracellular lipid peroxidation,Fe2+accumulation,and significant ROS production(P<0.0001),significantly downregulated SLC7A11 and GPX4 protein expression(GPX4 protein expression reduced to 40%of that in the control group,P<0.0001),and activated JNK phosphorylation(p-JNK/JNK ratio increased to 2.8-fold,P<0.0001).Pretreatment with the JNK-specific inhibitor SP600125 or ROS scavenger NAC effectively reversed SKI's inhibition of cell viability and downregulation of SLC7A11/GPX4 protein(all P<0.01).SKI also inhibited pancreatic cancer tumor cell proliferation in vivo(P<0.0001).Conclusion SKI induces ferroptosis by activating the ROS/JNK pathway,thereby inhibiting pancreatic cancer proliferation,migration,and invasion.

Objective:To investigate the predictive value of microRNA-1(miR-1),brain natriuretic peptide(BNP)and ischemia-modified albumin(IMA)for unstable angina pectoris(UAP).Methods:We enrolled 237 UAP patients admitted to Xining Second People's Hospital between June 2018 and December 2020 as UAP group.Another 86 healthy subjects undergoing physical examination simultaneously were enrolled as control group.MiR-1 expression,BNP and IMA levels were measured.General data between UAP group and control group,serum miR-1 expression,BNP and IMA levels among different Braunwald class and prognosis were compared.Receiver operat-ing characteristic(ROC)curve was employed to analyze predictive value of miR-1,BNP,IMA and their combina-tion for prognosis in UAP patients.Results:Compared with participants in the control group,those in UAP group had significant higher serum miR-1 expression[(1.80±0.59)vs.(0.93±0.11)],BNP[(107.34±37.46)pg/ml vs.(52.31±10.64)pg/ml]and IMA[(79.76±19.29)g/L vs.(53.16±6.43)g/L](P＜0.001 all).As Braun-wald class increased(class Ⅰ～Ⅲ),serum miR-1 expression,BNP and IMA levels elevated(P＜0.001 all).Com-pared with patients in favorable outcome group,those in unfavorable outcome group had significant higher serum miR-1 expression[(2.31±0.54)vs.(1.53±0.41)],BNP[(147.03±29.63)pg/ml vs.(85.95±19.46)pg/ml]and IMA[(97.24±15.35)g/L vs.(70.35±13.88)g/L](P＜0.001 all).ROC curve indicated that AUC of com-bined detection for predicting unfavorable outcome in UAP patients was 0.925(95％CI 0.884～0.955),which was significantly higher than miR-1(AUC=0.880,95％CI 0.831～0.918),BNP(AUC=0.863,95％CI 0.813～0.904)and IMA(AUC=0.900,95％CI 0.854～0.935)alone(Z=2.884,3.130,2.090,P＜0.05 or＜0.01).Conclusion:MiR-1 expression,BNP and IMA levels significantly increase in UAP patients,and they are associated with the severity of disease.Combined detection has good predictive value for unfavorable outcome in UAP pa-tients.

Objective:To explore the application effect of ADDIE model (analysis, design, development, implementation and evaluation) in the training of maxillofacial trauma first-aid ability of dental nurses, in order to optimize the training process of dental nurses.Methods:A self-controlled before and after study was conducted. Fifty-one dental nurses in Qingdao Stomatology Hospital Affiliated to Qingda University were selected as the research objects by convenient sampling method in March 2022, and the first aid ability training for maxillofacial trauma was carried out according to the five stages of ADDIE model. Before and after the training, the evaluation was made from three aspects: theory and skill test results, first-aid ability and training satisfaction scores.Results:Among 51 dental nurses, there were 4 males and 47 females, aged (30.69 ± 5.85) years. After the training, the theoretical assessment score of dental nursing staff was (88.87 ± 6.20) points, higher than that before the training (80.51 ± 7.21) points, and the technical assessment score was (91.61 ± 4.08) points, higher than that before the training (82.03 ± 7.56) points. The differences were statistically significant ( t = - 14.38, - 10.93, both P<0.01). The total score of first aid ability of nurses was (137.38 ± 11.30) points, higher than that before training (123.40 ± 13.73) points, and the difference was statistically significant ( t = - 17.30, P<0.01). The satisfaction score of dental nursing staff was (4.58 ± 0.50) points, higher than that before training (3.96 ± 0.46) points, and the difference was statistically significant ( t = - 11.51, P<0.01). Conclusions:The training program based on ADDIE model, through systematic teaching design, is helpful to improve the emergency treatment ability and training satisfaction of dental nursing staff with maxillofacial trauma.

Objective:To discern the association between autism-like behaviors and resilience within the ado-lescent demographic.Methods:A total of 7 063 middle school students were selected to assess ASD-like behaviors and resilience in adolescents using the Autism Spectrum Screening Questionnaire(ASSQ)as well as the Resilience Scale for Chinese Adolescent(RSCA).Subgroups bounded by P5 and P95 of the total ASSQ score,a comparative analysis of the resilience scores between these groups was executed.A correlation evaluation and linear regression a-nalysis was carried out between ASSQ and RSCA scores from all participants.Results:The RSCA scores within the high ASSQ scoring group,were inferior to those in the low scoring group.ASSQ scores were negatively correlated with RSCA scores for the full sample(Ps＜0.01);Social interaction scores on the ASSQ were negatively correlated with the five-factor RSCA scores(β=-0.23,-0.27,-0.11,-0.23,-0.37,Ps＜0.05).Conclusion:There was a negative association between autism spectrum disorder-like behaviors and resilience in adolescents,with more severe social interaction symptoms being associated with poorer resilience.

Diabetic encephalopathy(DE)is a complication of the central nervous system induced by diabetes,characterized by insidious onset and complex pathological mechanisms.Recent research has revealed that the pathological mechanisms of DE are closely associated with the imbalance of intercellular communica-tion across multiple organs.Exosomes,serving as vital media-tors of intercellular communication,are involved in the patholog-ical progression of DE and hold promise as diagnostic biomarkers and therapeutic targets for DE.Traditional Chinese medicine(TCM)can improve communication between brain cells and be-tween peripheral and brain tissues by regulating exosomes and their contents,thereby preventing and treating DE.Meanwhile,exosomes,as targeted delivery carriers of active molecules,can carry TCM monomers more easily across the blood-brain barrier to prevent and treat DE.In light of this,this review summarizes the regulatory role of exosomes in the pathological progression of DE and explores the enormous potential of TCM in the preven-tion and treatment of DE by regulating exosomes and using exo-somes as traditional Chinese medicine carriers,aiming to pro-vide new evidence for the prevention and treatment of DE with TCM.

Aim To study the correlation between es-trogen metabolism function of intestinal flora and liver fibrosis disease phenotype and differential intestinal bacteria by fecal microbiota transplantation(FMT).Methods C57BL/6J male mice were divided into normal group(Control-M),liver fibrosis Model group(Model),FMT-1 group(normal mice fecal microbiota transplantation from liver fibrosis mice),and FMT-2 group(liver fibrosis mice fecal microbiota transplanta-tion from female mice).The model group was induced by high fat and high glucose combined with low dose of CCl4 for 16 weeks.In the FMT group,the bacteria were destroyed by mixed antibacterial solution and then the corresponding fecal microbiota solution was given.The model group was established in the FMT-2 group and the model group at the same time.Liver function(ALT,AST)was detected by biochemical methods;liver inflammation(IL-1α,IL-6)was detected by ELISA;liver pathology was detected by HE and Mas-son methods;the expressions of α-SMA,collagen Ⅰ,estrogen receptor ERα,ERβ and GPER were detected by Western blot;estrogen metabolic enzymes β-glucu-ronidase and β-glucosidase in intestinal flora were de-tected by double antibody sandwich assay;gut microbi-ota was detected by 16S rDNA method;the correlation between estrogen metabolic enzymes,estrogen receptors and disease phenotypes and disease-related differential bacteria was analyzed by Pearson correlation analysis.Results Liver function,inflammation and fibrosis in-dices were significantly higher in the model group than those in the control-M group and significantly lower in the FMT-2 group than in the model group;estrogen metabolic enzymes of the intestinal flora significantly increased in the model group compared to the control-M group and significantly decreased in the FMT-2 group compared to the model group;the model group showed a significant increase in ERβ and GPER and a significant decrease in ERα compared to the control-M group,while the FMT-2 group showed a significant de-crease in ERβ and GPER and a significant increase in ERα compared to the model group;the FMT-2 group increased the enterobacterial abundance and diversity reduced by modelling;estrogen metabolic enzymes,es-trogen receptor ERβ and GPER were all positively cor-related with the disease phenotype,while the opposite was true for ERα;estrogen metabolic enzymes were positively correlated with Allobaculum,Ruminococcus and Alistipes,and negatively correlated with Akkerman-sia,Lactobacillus and Prevotella.Conclusions Fecal microbiota transplantation in female mice can alleviate liver fibrosis in male mice,which is related to the im-provement of estrogen metabolism of intestinal flora.

Objective To investigate the distribution and antibiotic resistance of clinical isolates in the Traditional Chinese Medicine Hospital of Xinjiang Medical University.Methods Bacterial strains were collected from January 1,2020,to December 31,2023,and tested for antimicrobial susceptibility using automated systems and disk diffusion methods.The results were interpreted according to the breakpoints recommended in the CLSI M100.Results Over the four-year period,22 121 bacterial strains were analyzed,including Gram-positive bacteria(24.1％,5 338/22 121)and Gram-negative bacteria(75.9％,16 783/22 121).The prevalence of methicillin-resistant S.aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococcus(MRCNS)was 26.4％and 68.9％,respectively.MRSA and MRCNS strains showed higher resistance rates to most antimicrobial agents compared to methicillin-susceptible strains(MSSA and MSCNS).No Staphylococcus strains were found resistant to linezolid or vancomycin.E.faecium showed higher resistance rates to most of the antimicrobial agents tested than E.faecalis.A few vancomycin-resistant strains were identified in E.faecium and limited number of linezolid-resistant strains were identified in E.faecalis.All S.pneumoniae isolates were isolated from specimens other than cerebrospinal fluid.The prevalence of penicillin-resistant S.pneumoniae(PRSP)was 9.4％.Overall,13.2％of Klebsiella isolates were resistant to imipenem and 13.1％to meropenem,while the prevalence of carbapenem-resistant strains was less than 10％in Escherichia coli or other genera of Enterobacterales.As for non-fermenting Gram-negative bacteria,P.aeruginosa was largely susceptible to most antimicrobial agents.Overall,11.8％and 10.9％of P.aeruginosa strains were resistant rates to imipenem and meropenem,respectively.However,47.1％of Acinetobacter strains were resistant to imipenem and 47.9％to meropenem,while 14.9％to 53.2％of the strains were resistant to other antimicrobial agents tested.Conclusions The clinical strains isolated in the Traditional Chinese Medicine Hospital of Xinjiang Medical University were predominantly Gram-negative bacteria.The prevalence of carbapenem-resistant strains in Klebsiella spp.was higher than that in other species of Enterobacterales.Acinetobacter spp.showed high resistance rate to carbapenems.The prevalence of methicillin-resistant strains was high in Staphylococcus.Vancomycin-resistant and linezolid-resistant strains were identified in Enterococcus spp.Infection prevention and control and stewardship of antimicrobial agents should be strengthened to contain the emergence and spread of resistant bacteria.

Objective:To establish and validate a multimodal model based on radiomics and deep learning for predicting acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS).Methods:Patients diagnosed with AP from The First Affiliated Hospital of Soochow University, Donghai County People's Hospital and Jintan Affiliated Hospital of Jiangsu University between January 2017 and December 2023 were enrolled. Based on the diagnosis of ARDS within 1 week after admission, the patients were classified into the ARDS group and the non-ARDS group. Patients in the First Affiliated Hospital of Soochow University ( n=406) was used as the training set (non-ARDS group n=212 vs ARDS group n=194), while Donghai and Jintan hospitals served as the test set ( n=175; non-ARDS group n=104 vs ARDS group n=71). Clinical data, laboratory tests and the occurrence of systemic inflammatory response syndrome (SIRS) within 24 hours after admission were collected. Scoring systems such as bedside index for severity in acute pancreatitis (BISAP), Ranson score and modified CT severity index (MCTSI) were calculated. Radiomics features were extracted from three-dimensional CT images to develop a radiomics model based on XGBoost algorithm. At the same time, a deep learning model was constructed using deep convolutional networks to extract deep features. Finally, clinical features and the predictions from the aforementioned models were integrated to establish a multimodal model based on XGBoost algorithm. To enhance model visualization, variable importance ranking and local interpretable visualization were used. The receiver operating characteristic (ROC) curves of the three models and the three scores including BISAP, Ranson and MCTSI were plotted and the area under the curves (AUCs) were calculated to evaluate the prediction performance for ARDS in AP patients, as well as sensitivity and specificity. Results:In the multimodal model for predicting ARDS in AP patients, predictions of the deep learning model and the radiomics model were the most important variables, followed by SIRS, C-reactive protein, procalcitonin, albumin, glucose, creatinine, neutrophil, and Ca 2+. In the training set, the multimodal model achieved an AUC of 0.933 for predicting ARDS in AP patients, higher than the radiomics model (0.727), the deep learning model (0.877), MCTSI (0.870), Ranson (0.620) and BISAP (0.898). In the test set, the model's AUC was 0.916 for predicting ARDS in AP patients, higher than the radiomics model (0.660), the deep learning model (0.864), MCTSI (0.851), Ranson (0.609), and BISAP (0.860). Conclusions:Based on clinical structured data, radiomics and deep learning features, the multimodal model could predict the risk of ARDS in AP patients at an early stage, whose performance is better than the single-modal models and the traditional scoring systems.

OBJECTIVE: To investigate the effect of irradiation dose rate of ⁶⁰Co γ-ray on hematopoietic and immune cells in total body irradiation (TBI) mice. METHODS: After TBI with 8 Gy ⁶⁰Co γ-ray at three irradiation dose rates of 0.027, 0.256 and 0.597 Gy/min, the survival and change of body weight of C57BL/6J mice were observed within 30 days. The peripheral blood parameters were examined at each time point within 30 days post-irradiation. The hematopoietic stem/progenitor cell counts of mice were examined on the 10^th and 30^th day post-irradiation by flow cytometry, as well as the proportions of immune cells in peripheral blood, bone marrow and spleen of mice on the 30^th day post-irradiation. RESULTS: After TBI with 8 Gy ⁶⁰Co γ-ray, the 30-day survival rate of high dose-rate group was 0, which was significantly lower than 90% of medium dose-rate group and 100% of low dose-rate group (both P < 0.001). The peripheral blood parameters of all three groups showed a sharp decline → low value → gradually recovering trend. The count of white blood cell, neutrophil, lymphocyte, red blood cell, platelet and hemoglobin level in the high dose-rate and medium dose-rate groups were significantly lower than those in the low dose-rate group on day 7-18 post-irradiation (all P < 0.05), but there were no significant differences between the high dose-rate and medium dose-rate groups (P >0.05). On the 10^th day after irradiation, the proportion and number of bone marrow hematopoietic stem/progenitor cells (including LK, LSK, LT-HSC, ST-HSC, and MPP cells) in the low dose-rate and medium dose-rate groups were significantly decreased compared to those in the normal group (all P < 0.05), but there were no significant differences between the two groups (P >0.05). On the 30^th day after irradiation, LSK, LT-HSC, ST-HSC and MPP cells in the low dose-rate group recovered to normal levels, while those in the medium dose-rate group were still significantly lower than those in the low dose-rate group (all P < 0.001). The results of bone marrow and peripheral immune cell tests on the 30^th day after irradiation showed that the ratios of T and B lymphocytes in the low dose-rate and medium dose-rate groups were reduced compared to that in the normal group (both P < 0.05), while the ratio of neutrophils was increased (P < 0.01). The trend of changes in the spleen and peripheral blood was consistent. CONCLUSION The degree of hematopoietic and immune cell damage in mice after TBI with 8 Gy ⁶⁰Co γ-ray is related to the dose rate, and low dose-rate irradiation can reduce the damage in the animal model. Therefore, choosing the appropriate dose rate of irradiation is a key factor in establishing an objective and reliable experimental animal model of irradiation.
Animals ; Mice ; Whole-Body Irradiation ; Gamma Rays ; Mice, Inbred C57BL ; Hematopoietic Stem Cells/radiation effects* ; Cobalt Radioisotopes ; Dose-Response Relationship, Radiation ; Male