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 learn about the epidemic characteristics and temporal-spatial trends of human anthrax in Shaanxi Province, and to provide a theoretical basis for prevention and control of anthrax.Methods:The epidemic data of human anthrax in Shaanxi Province from 1955 to 2024 were collected for descriptive epidemiological analysis. Joinpoint regression model was used to analyze the trend of anthrax incidence rate. The trend at all times and different intervals were estimated by average annual percent change (AAPC) and annual percent change (APC), respectively. Based on the number of human anthrax cases in each county (district) of Shaanxi Province from 1980 to 2024, datasets were constructed in segments every five years for global and local spatial autocorrelation analysis.Results:From 1955 to 2024, a total of 3 900 cases of human anthrax were reported in Shaanxi Province, with 124 deaths. The average annual incidence rate was 0.18/100 000 and the fatality rate was 3.18%. The incidence rate of human anthrax generally showed a downward trend (AAPC = - 3.21, t = - 1.99, P = 0.044), with the fastest decline rate from 1977 to 1993 (APC = - 15.24, t = - 4.08, P < 0.001). A temporal and regional distribution analysis was conducted on 484 human anthrax cases in Shaanxi Province from 1980 to 2024. The peak period of incidence was from July to September, accounting for 52.27% (253/484). The cities with a relatively high number of reported cases were Weinan City (201 cases), Xianyang City (161 cases), and Xi'an City (77 cases), accounting for a total of 90.70% (439/484). A population distribution analysis was conducted on 93 human anthrax cases in Shaanxi Province from 2005 to 2024, with 73 males (78.49%) and 20 females (21.51%), resulting in a male to female ratio of 3.65 ∶ 1.00. The age range was 13 to 79 years old, with a median of 44 years old. The age group of 35 to 59 years old had a higher case of the disease, accounting for 65.59% (61/93). Farmers were the main occupation, accounting for 87.10% (81/93). The shortest time interval between onset and diagnosis of 93 human anthrax cases was 0 days, the longest was 47 days, and the median was 5 days. The results of global spatial autocorrelation analysis showed that there was spatial positive correlation in human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004, and 2020 to 2024 (global Moran's I > 0, Z > 1.96, P < 0.05). The results of local spatial autocorrelation analysis showed that the high-high aggregation area of human anthrax cases was concentrated in the Guanzhong region. Conclusions:From 1955 to 2024, the incidence rate of human anthrax in Shaanxi Province generally shows a downward trend. The peak period of incidence is from July to September, and the affected populations are mainly middle-aged male farmers. Human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004 and 2020 to 2024 show spatial clustering, with high-high clustering areas concentrated in the Guanzhong region.

Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

Objective To investigate the association between remnant cholesterol(RC)and clinicopatho-logical parameters in patients with IgA nephropathy(IgAN),and to assess the clinical significance of RC in the progression and management of IgAN.Methods A total of 366 patients with a biopsy-proven diagnosis of IgAN were consecutively enrolled in this retrospective study.Clinical and pathological data were systematically collected,and RC was calculated.Participants were stratified into two groups according to the median RC value.Baseline characteristics were compared between these groups.The association between RC and the presence of tubular atrophy/interstitial fibrosis(T1/2 lesions)in IgAN patients was evaluated using binary logistic regression,restricted cubic spline(RCS)analysis,receiver operating characteristic(ROC)curve analysis,and subgroup analyses.Results In this study,the high-RC group exhibited significantly higher levels of body weight,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),triglycerides(TG),total cholesterol(TC),non-high-density lipoprotein cholesterol(non-HDL-C),uric acid(UA),complement 3(C3),and 24-hour urinary protein,as well as lower levels of albumin(ALB),estimated glomerular filtration rate(eGFR),and high-density lipoprotein cholesterol(HDL-C),compared to the low-RC group.Patients with T1/2 lesions showed elevated levels of SBP,DBP,TC,non-HDL-C,UA,24-hour urinary protein,and RC,along with reduced levels of hemoglobin(Hb),ALB,and eGFR,relative to those with T0 lesions.Multivariate logistic regression analysis indicated that increased RC and decreased eGFR were independent risk factors for the presence of T1/2 lesions in patients with IgAN(P<0.05).RCS analysis revealed a linear association between RC and the likelihood of T1/2 lesions(non-linearity P=0.343).The area under the receiver operating characteristic curve(AUC)for a predictive model incorporating RC,Hb,UA,and eGFR was 0.833,indicating good discriminative ability.Subgroup analyses consistently demonstrated a significant associa-tion between RC and the risk of T1/2 lesions,with no statistically significant interactions observed across subgroups(all P>0.05).Conclusion RC can reflect the severity of both clinical and pathological manifestations in patients with IgAN,making RC monitoring a potentially valuable tool for assessing disease progression in clinical practice.

Laboratory animals serve as the cornerstone in life science research, acting as surrogate models for human physiology, pathology, and disease treatment. They play an irreplaceable role in basic research, drug development, and translational medicine. Gut microbiota, a complex microbial community comprising bacteria, fungi, viruses, and unicellular organisms, colonizes the host's intestinal tract and is closely associated with the maintenance of normal physiological metabolism and overall health. Studies have shown that dysbiosis of the gut microbiota can lead to various diseases, including obesity, diabetes, hypertension, inflammatory bowel disease, and Alzheimer's disease. Therefore, conducting characteristic analyses of the gut microbial composition of laboratory animals can not only enhance the reliability of experimental outcomes but also facilitate their translational application. Sex differences represent a critical variable in biological research, significantly influencing the physiological functions, metabolic traits, and gut microbial composition of laboratory animals. However, a pronounced sex bias has been widely observed in many biological studies, thereby limiting the generalizability of results. This study focused on ten commonly used laboratory animals in life sciences, including mice, rats, guinea pigs, hamsters, rabbits, dogs, cats, non-human primates, miniature pigs, and chickens. Their gut microbial composition was summarized and related sex-specific differences of certain species were analyzed. Furthermore, by comparing the gut microbiota of laboratory animals with that of humans, this study offers novel perspectives for comparative medical research. In summary, this study not only deepens researchers' understanding of gut microbiota characteristics and sex-dependent variations across laboratory animal species but also provides practical guidance for selecting appropriate laboratory animals, constructing sex-specific disease models, and interpreting experimental results in scientific studies.

Laboratory animals serve as the cornerstone in life science research, acting as surrogate models for human physiology, pathology, and disease treatment. They play an irreplaceable role in basic research, drug development, and translational medicine. Gut microbiota, a complex microbial community comprising bacteria, fungi, viruses, and unicellular organisms, colonizes the host's intestinal tract and is closely associated with the maintenance of normal physiological metabolism and overall health. Studies have shown that dysbiosis of the gut microbiota can lead to various diseases, including obesity, diabetes, hypertension, inflammatory bowel disease, and Alzheimer's disease. Therefore, conducting characteristic analyses of the gut microbial composition of laboratory animals can not only enhance the reliability of experimental outcomes but also facilitate their translational application. Sex differences represent a critical variable in biological research, significantly influencing the physiological functions, metabolic traits, and gut microbial composition of laboratory animals. However, a pronounced sex bias has been widely observed in many biological studies, thereby limiting the generalizability of results. This study focused on ten commonly used laboratory animals in life sciences, including mice, rats, guinea pigs, hamsters, rabbits, dogs, cats, non-human primates, miniature pigs, and chickens. Their gut microbial composition was summarized and related sex-specific differences of certain species were analyzed. Furthermore, by comparing the gut microbiota of laboratory animals with that of humans, this study offers novel perspectives for comparative medical research. In summary, this study not only deepens researchers' understanding of gut microbiota characteristics and sex-dependent variations across laboratory animal species but also provides practical guidance for selecting appropriate laboratory animals, constructing sex-specific disease models, and interpreting experimental results in scientific studies.

Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

Coronary artery bypass grafting(CABG) remains a cornerstone treatment for complex coronary artery disease, with long-term graft patency being essential for clinical success. In 2024, the European Society of Cardiology(ESC) and the European Association for Cardio-Thoracic Surgery(EACTS) jointly released an expert consensus document on the intraoperative and postoperative management of CABG grafts. This article provides a comprehensive Chinese translation and interpretation of the consensus, covering key topics including graft harvesting techniques(such as skeletonized vs. pedicled, endoscopic vs. open harvesting), optimal preservation solutions, mechanisms and prevention of graft spasm, and secondary prevention strategies involving antithrombotic and lipid-lowering therapies. Additionally, based on the current situation of clinical practice in China and the characteristics of the Chinese population, the article discussed some key issues in depth, put forward adaptive suggestions, and pointed out the future research direction. The translated consensus and accompanying commentary aim to facilitate the dissemination and application of ESC-endorsed recommendations in Chinese clinical settings, promoting more standardized and evidence-based graft management in CABG surgery.

Objective:To analyze the safety and efficacy of multi-vessel minimally invasive cardiac surgery-coronary artery bypass graft(MICS-CABG) through perioperative angiography results and complications.Methods:Clinical data of 1 073 patients who underwent multi-vessel MICS-CABG surgery at Peking University Third Hospital from December 2015 to June 2024 were collected using an ambispective cohort study. Among them, 745 were males(69.4%), with a median age of 65 years(58, 71), and a median ejection fraction of 0.66(0.56, 0.71). Double-vessel or triple-vessel lesions accounted for 932 cases(86.9%), while left main lesions were present in 449 cases(41.8%). The primary outcome was the evaluation of graft patency based on perioperative angiography or coronary artery computed tomography angiography results, while major cardiovascular adverse events during the perioperative period, surgical complications, and other surgical information were secondary outcomes. The clinical efficacy of multi-vessel MICS-CABG was evaluated.Results:In this study, the median number of grafts was 3, and complete revascularization was performed in 1 006 cases(93.8%); total arterial revascularization was performed in 308 cases(28.6%). Perioperative mortality was 11 cases(1.0%), and the main adverse cardiovascular and cerebrovascular events(MACCE) was 50 cases(4.8%). Three cases(0.3%) had poor wound healing, and 79 patients(7.4%) required transfusion. Postoperative coronary angiography was performed in 907 patients(84.5%) and coronary CTA was performed in 52 patients(4.8%), for an overall review rate of 89.4%(959/1073). The overall patency rate of the bridge vessel was 96.9%, and the patency rate of the left internal mammary artery was 98.2%.Conclusion:Multi-vessel MICS-CABG demonstrates excellent perioperative safety and is capable of achieving complete revascularization for the 3 regions of the heart. The quality of the anastomosis and the postoperative patency rate of the grafts is satisfactory.

Objective To explore the characteristics of tumor immune microenvironment of pancreatic ductal adenocarcinoma(PDAC)based on the differentially expressed genes associated with macrophages in early and late tumor tissues of PDAC patients,so as to provide new targets for early diagnosis and treatment of PDAC.Methods Three early-stage and 4 late-stage tumor samples were collected from PDAC patients.Tissue transcriptome data were analyzed by single-cell sequencing technology.With The Cancer Genome Atlas(TCGA)database,macrophage related genes differentially expressed in early and late PDAC related to prognosis were obtained.The prognostic risk scoring model was constructed using the least absolute shrinkage and selection operator(LASSO)-Cox method.The risk genes associated with PDAC prognosis were screened using the Gene Expression Profiling Interaction Analysis 2(GEPIA2)online survival analysis tool.Their immune infiltration was analyzed using the cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT)method,and their expression in different subpopulations of macrophages at different periods was resolved by t-distributed stochastic nearest-neighbour embedding(tSNE)clustering downscaling and the Monocle package.The protein-protein interactions and immunohistochemistry were further analyzed with the help of STRING database and The Human Protein Atlas(HPA)database.Results A total of 48 differentially expressed macrophage-related genes in early and late PDAC were found to be associated with prognosis.Eleven differentially expressed macrophage genes were screened as PDAC prognostic genes,and they were used to construct a prognostic risk scoring model for PDAC.Two prognostic genes with significant risk indicators were screened:2'-5'-oligoadenylate synthetase 2(OAS2)was mainly expressed in secreted phosphoprotein 1(SPP1)-positive macrophages,and assembly factor for spindle microtubules(ASPM)was mainly expressed in proliferation marker protein Ki-67(MKI67)-positive macrophages.There were significant differences in the expression of OAS2 in PDAC macrophages at different stages.Immune infiltration studies showed that OAS2 and ASPM were highly expressed in regulatory T cells and M2-type macrophages(both P＜0.05).Protein-protein interaction network showed the expression relationship between OAS2 and ASPM and other co-expressed proteins.Immunohistochemistry results showed that the expression of OAS2 was higher in tumor tissues than in normal tissues.Conclusion OAS2 and ASPM are both poor prognostic genes that are specifically expressed and exert negative immune effects in SPP1+macrophages and MKI67+macrophages,respectively,promoting the progression of PDAC and ultimately leading to a poor prognosis,and it is expected to provide new targets for the prevention and treatment of PDAC.