Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

The red doctor culture runs through the development process of China’s red health undertakings. It is a unity of revolutionary culture， health culture， and educational culture， providing rich educational resources for ideological and political education in medical colleges and universities. From the perspective of historical logic， red doctor culture is rooted in the traditional medical ethics thought of “medicine is the art of benevolence” in ancient China， as well as has evolved alongside the century-long development of the health and well-being undertakings led by the Communist Party of China. From the perspective of theoretical logic， red doctor culture is closely related to Xi Jinping Thought on Culture， the principle of the dialectical relationship between social existence and social consciousness， and the theory of cultural leadership. From the perspective of practical logic， it is necessary to clarify the practical path from three aspects， namely accurately grasping the Marxist theoretical foundation of the red doctor culture and highlighting its orientation of the ideological and political education of medical students； making effective use of existing resources of red doctor culture to improve the content of ideological and political education and consolidate the foundation of red doctor literacy； optimizing the construction of teaching teams for ideological and political theory courses in medical colleges and universities. From the perspective of value orientation， the red doctor culture is conducive to cultivating the professional ethics spirit of medical students， meeting the teaching needs of ideological and political theory courses in medical colleges and universities， and assisting the construction of the healthy China initiative.

Objective:To investigate the clinical data, drug resistance and treatment prognosis of Cryptococcus neoformans isolated from patients with acquired immunodeficiency syndrome(AIDS) in a hospital in Shanghai. Methods:The clinical data of AIDS patients with Cryptococcus neoformans infection in Shanghai Public Health Clinical Center from January 2014 to December 2023, and the drug sensitivity to 5 antifungal drugs in vitro, treatment and prognosis were retrospectively analyzed. Results:From January 2014 to December 2023, there were 295 AIDS patients with Cryptococcus neoformans infection in our hospital, with 255 males and 40 females. CD4 + T lymphocyte counts ≤100 cells/μl were detected in 251 patients. A total of 384 strains of Cryptococcus neoformans were isolated from the 295 patients, with the highest detection rate in cerebrospinal fluid samples (65.9%, 253/384), followed by blood samples (29.4%, 113/384). The sensitivity of 384 strains of Cryptococcus neoformans to 5-fluorocytosine was the highest (98.5%, 379/384), followed by fluconazole (95.6%, 367/384) and amphotericin B (95.3%, 366/384). After treatment against cryptococcal infection, 252 patients (86.0%, 252/293) were discharged and 20 patients (6.8%, 20/293) died. The other 2 cases were not treated for cryptococcal infection. Conclusions:As Cryptococcus neoformans is an important pathogen of AIDS patients, clinicians should actively carry out laboratory examination of Cryptococcus and rational drug use according to the results of drug sensitivity test, while alert to the occurrence of drug resistance.

This article briefly introduces the new concept of burnout and the new burnout assessment tool BAT. In the past, the most famous burnout definition was proposed by Maslach and Leiter. The Maslach Burnout Inventory (MBI) developed by Maslach has also been the gold standard for evaluating burnout. With the development of burnout research, the concept of burnout has a certain defect. MBI has also been criticized in conceptual, practical and psychological measurement. It may hinder new research, and urgently needs to improve the concept and evaluation of burnout. Therefore, Schaufeli redefined the concept of burnout, and developed a new burnout assessment tool for groups and individuals based on the new concept of burnout-Burnout Assessment Tool (BAT) . This paper systematically reviews the proposal of the new concept of burnout, the development of the BAT scale and its application at home and abroad, and analyzes the advantages and application prospects of the BAT scale.

Objective:To verify the reliability and validity of the short version of the Chinese version of the new Burnout Assessment Tool (12 items version of Burnout Assessment Tool, BAT-12) .Methods:From October to December 2023, the cluster sampling method was adopted, and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) and the BAT-12 scale were used simultaneously. A questionnaire survey was conducted among enterprise employees (4329 people) in Shanghai and Guangdong Province. Exploratory factor analysis and confirmatory factor analysis and other methods were employed to analyze its reliability (internal consistency reliability and combination reliability) and validity (structural validity, convergent validity, discriminative validity and criterion validity) .Results:A total of 4329 questionnaires were retrieved, among which 4086 were valid, with an effective recovery rate of 94.39%. The Cronbach's α coefficient of the Chinese version of the BAT-12 total scale was 0.956, and the combination reliability coefficients of each dimension ranged from 0.914 to 0.952. The scale contained 12 items, and 4 common factors were extracted from exploratory factor analysis, including exhaustion, mental distance, cognitive impairment, and emotional impairment. The cumulative variance contribution rate reached 86.63%. Confirmatory factor analysis showed that both the four-factor correlation model and the second-order model were ideally fitted overall, with the four-factor correlation model having the best data fit (comparative fit index 0.972, Tuker-Lewis fit index 0.962, root mean square error of approximation 0.064, and standardized root mean square residual 0.033). The average variance extracted (AVE) of each dimension of the scale ranged from 0.780 to 0.868, and the square roots of AVE (0.883 to 0.932) were all greater than their Pearson correlation coefficients (0.630 to 0.850). The Pearson correlation coefficient between BAT-12 and MBI-GS was 0.787 ( P<0.001) . Conclusion:The Chinese version of the BAT-12 scale demonstrates strong internal consistency and combination reliability, with excellent reliability. Its four-dimensional structure validity has been validated, with good convergent validity, discriminative validity, and ideal criterion validity, demonstrating excellent validity. The Chinese version of the BAT-12 scale can be used to measure the level of occupational burnout among Chinese employees.

Objective:To investigate the combined application of cytology, cell block histology and immunohistochemistry to improve the diagnostic accuracy of solid pancreatic lesions in endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) samples.Methods:The pathological data of EUS-FNA in 311 cases of solid pancreatic lesions submitted to the Second Hospital of Hebei Medical University, Shijiazhuang, China from May 2019 to September 2023 were retrospectively analyzed. The cases included pancreatic ductal adenocarcinoma (PDAC, 172 cases), solid pseudopapillary neoplasm (SPN, 12 cases), neuroendocrine tumors (PNET, 14 cases) and chronic pancreatitis (113 cases). The cytological features of smears, the histology of cell block sections and the diagnostic markers in PDAC, SPN and PNET were analyzed. The diagnostic accuracies of cytology, cell block histology/immunohistochemistry and combination of the two methods for classifying these pancreatic solid lesions were evaluated.Results:Irregular arrangement of atypical (cancer) cells, anisonucleosis and nuclear atypia were the typical cytological features of PDAC, while presence of pseudopapillae with a myxoid/hyalinized fibrovascular core and low adhesion/salt-and-pepper chromatin were diagnostic features of SPN and NET, respectively. Immunohistochemical results showed that CK7 and CK19 were the most sensitive markers of pancreatic ductal epithelia, and the diffuse strong expression of S-100P (102/111, 91.9%) and aberrant expression of p53 (80/111, 72.1%) were important immunophenotypic markers of PDAC. Various degrees of CDX2 expression could be found in 66.4% PDAC. The expression of CD10, PR, vimentin, CD99 and cyclinD1 and the aberrant expression of β-catenin were the immunophenotypic features of SPN, while the expression of CgA, Syn and CD56 were indispensable immunemarkers for the diagnosis of PNET. Overall, cytology had higher sensitivity than cell block histology (93.9% versus 82.8%) and lower specificity (92.9% versus 99.1%), while the combination of the two methods significantly improved the sensitivity to 96.9% in solid pancreatic lesions. The combination of cytology and cell block histology could significantly improve the diagnostic efficacy of EUS-FNA in PDAC.Conclusions:Integrated diagnosis based on cytology (including rapid on-site evaluation), cell block histology and immunohistochemical findings could significantly improve the diagnostic yield of EUS-FNA in classifying solid pancreatic lesions.

The translation of genetic findings from genome-wide association studies into actionable therapeutics persists as a critical challenge in Alzheimer's disease (AD) research. Here, we present PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks for therapeutic discovery. This framework leverages multi-omic and network evidence to deliver three core functionalities: clinical target prioritisation; self-organising prioritisation map construction, distinguishing AD-specific targets from those linked to neuropsychiatric disorders; and pathway crosstalk-informed therapeutic discovery. PI4AD successfully recovers clinically validated targets like APP and ESR1, confirming its prioritisation efficacy. Its artificial neural network component identifies disease-specific molecular signatures, while pathway crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1), drug repurposing candidates, and clinically relevant network modules. By validating targets, elucidating disease-specific therapeutic potentials, and exploring crosstalk mechanisms, PI4AD bridges genetic insights with pathway-level biology, establishing a systems genetics foundation for rational therapeutic development. Importantly, its emphasis on Ras-centred pathways-implicated in synaptic dysfunction and neuroinflammation-provides a strategy to disrupt AD progression, complementing conventional amyloid/tau-focused paradigms, with the future potential to redefine treatment strategies in conjunction with mRNA therapeutics and thereby advance translational medicine in neurodegeneration.

OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

Objective:To explore the impact of diabetes mellitus on perioperative myocardial injury and cardiac function recovery in patients undergoing off-pump coronary artery bypass grafting (CABG).Methods:The clinical data of 40 patients with coronary heart disease who underwent off-pump CABG in Changsha Central Hospital from 2015 to 2025 were retrospectively included. They were divided into the diabetes group (20 cases) and the control group (20 cases) according to whether they had type 2 diabetes mellitus. Myocardial injury markers (creatine kinase isoenzyme, troponin I, lactate dehydrogenase) before surgery, on the 1st and 3rd days after surgery and before discharge, as well as cardiac function indicators (B-type natriuretic peptide, left ventricular ejection fraction) before surgery and before discharge were compared between the two groups. The postoperative recovery speed (mechanical ventilation time, intensive care unit stay, vasoactive drug use time, postoperative hospital stay) was also compared between the two groups.Results:Before surgery, there were no statistically significant differences in myocardial injury markers and cardiac function indicators between the two groups (all P>0.05). On the 3rd day after surgery, lactate dehydrogenase in the diabetes group was significantly higher than that in the control group ( P<0.05), while there were no statistically significant differences in creatine kinase isoenzyme and troponin I between the two groups (all P>0.05). Before discharge, the levels of creatine kinase isoenzyme and B-type natriuretic peptide in the diabetes group were significantly higher than those in the control group (all P<0.05), and the left ventricular ejection fraction was significantly lower than that in the control group ( P<0.05). Compared with the control group, the diabetes group had significantly longer mechanical ventilation time, intensive care unit stay, and postoperative hospital stay (all P<0.05), but there was no statistically significant difference in the use time of vasoactive drugs ( P>0.05). Conclusions:For patients with coronary heart disease complicated with diabetes mellitus, their preoperative cardiac status is comparable to that of patients without diabetes mellitus, but they show a characteristic dynamic injury pattern after surgery: early elevation of lactate dehydrogenase suggests susceptibility to subcellular injury, and long-term abnormalities of creatine kinase isoenzyme, B-type natriuretic peptide, and decrease in left ventricular ejection fraction indicate myocardial repair disorders. Compared with patients without diabetes mellitus, those with diabetes mellitus require a longer recovery time after off-pump CABG, and targeted perioperative management strategies are urgently needed.