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.

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 investigate the relationship between serum glucagon-like peptide-1(GLP-1),monocyte chemoattractant protein-1(MCP-1),insulin-like growth factor binding protein-3(IGFBP-3)and glycolipid metabolism,bone metabolism and microvascular complications(MC)in children with type 1 diabe-tes mellitus(T1DM).Methods A total of 211 children with T1DM(T1DM group)admitted to Handan Cen-tral Hospital,Xingtai Traditional Chinese Medicine Hospital,Baoding First Central Hospital and Handan Ma-ternal and Child Health Hospital from January 2021 to February 2023 were selected,patients were divided into MC group(63 cases)and non-MC group(148 cases)according to whether MC was complicated within 1 year,and 108 healthy children who underwent physical examination during the same period were selected as control group.The levels of serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism indexes[fasting plasma glucose(FPG),fasting insulin(FINS),glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)]and bone metabolism indexes[bone specific alkaline phosphatase(BALP),osteocalcin(OST),type I collagen cross-linked C-terminal peptide(CTX)]were detec-ted.The correlation between serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism,bone metabo-lism in children with T1DM were analyzed by Pearson and Spearman correlation coefficient.Taking MC in children with T1DM as the dependent variable,the influencing factors were determined by multivariate uncon-ditional Logistic regression model,and the predictive value of serum GLP-1,MCP-1 and IGFBP-3 for MC were analyzed by receiver operating characteristic curve.Results The levels of serum GLP-1,FINS,HDL-C,BALP,OST and CTX in the T1DM group were lower than those in the control group,while the levels of MCP-1,IGFBP-3,FPG,HbA1c,HOMA-IR,TG and LDL-C in the T1DM group were higher than those in the control group,the differences were statistically significant(P<0.05).Serum GLP-1 in children with T1DM was negatively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and positively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).MCP-1 and IGFBP-3 were positively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and negatively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).Follow-up for 1 year,the incidence of MC in 211 children with T1DM was 29.86%(63/211).Elevated HbA1c,HOMA-IR,LDL-C,MCP-1 and IGFBP-3 were independent risk factors for MC in children with T1DM,and elevated GLP-1 was an independent protective factor(P<0.05).The area under the curve of ser-um GLP-1,MCP-1 and IGFBP-3 combined to predict MC in children with T1DM was 0.919,which was grea-ter than 0.781,0.788 and 0.794 predicted by serum GLP-1,MCP-1 and IGFBP-3 alone(P<0.05).Conclu-sion The decrease of serum GLP-1 level and the increase of MCP-1 and IGFBP-3 levels are related to glyco-lipid metabolism,bone metabolism disorder and MC in children with T1DM,the combined application of ser-um GLP-1,MCP-1 and IGFBP-3 has a good predictive value for MC in children with T1DM.

Objective To systematically evaluate the methodological quality and the measurement attributes of the assessment tools for risk of falls perception in the elderly,therefore to provide evidence-based references for medical staff to select a proper assessment tool.Methods Literature on studies of the assessment tools for risk of falls perception in the elderly was retrieved across databases and websites including Medline,Embase,PubMed,Web of Science,CINAHL,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP and China Biology Medicine(CBM).The retrieval period was from the inception of the databases to 1st June,2024.Two researchers independently screened the retrieved literature and extracted the data.The bias risk list and quality standards of the consensus-based standards for the selection of health measurement instruments(COSMIN)were used to systematically evaluate the attributes of the assessment tools.Results A total of 22 studies were included,covering 21 scales for the risk of falls perception in the elderly.All the scales had certain risks of bias,and none of them reported cross-cultural validity/measurement equivalence and measurement error.The fall risk questionnaire(FRQ)was rated as Class C recommendation due to the high-quality evidences indicated its"inadequate"internal consistency and responsiveness.The remaining scales were rated as Class B recommendation due to their uncertainty in content validity.Conclusion In comparison with the assessment tools for risk of falls perception in the elderly,the self-awareness of falls in elderly scale(SAFE,a primary choice)and the fall risk perception scale for the elderly in community(FRPSE,the secondary choice)are recommended for their comprehensive structure of measurement and relatively complete evaluation of measurement.However,further studies are required to validate the clinical applicability and measurement attributes of the SAFE and FRPSE.

Objective To statistically analyze the perioperative results of patients with ABO-incompatible kidney trans-plantation(ABOi-KT),in order to explore the changes in blood group antibody of type-A/B recipients.Methods A total of 33 cases of blood group A/B ABOi-KT recipients in our hospital from January 2021 to October 2023 were recruited and divided into two groups of group A(n=18)and group B(n=15)according to the different blood types of recipient.The effects of preoperative plasmapheresis on antibody titer,antibody rebound and renal function after operation(serum urea ni-trogen,creatinine and estimated glomerular filtration rate on the 1st,3rd,7th and 14th day)were analyzed between the two groups.According to the postoperative rebound of blood type antibodies,33 recipients were divided into antibody rebound group(n=7)and non rebound group(n=26),and the differences in initial blood type antibody titers between the two groups were analyzed.Results There was no significant difference in the clearance rate of IgM with preoperative plasma ex-change between the two groups(Z=-0.26,P＞0.05);Levels of serum urea nitrogen and creatinine on the 1st,3rd,7th and 14th day after operation between group A and group B were not statistically significant(P＞0.05),the same as eGFR.Group B was more prone to rebound antibody compared with group A(P＜0.05).There was a significant difference in the in-itial IgM antibody titer between the blood type antibody rebound group and the non rebound group(Z=-2.127,P＜0.05),but no statistically significant difference in the initial IgG antibody titer(Z=-1.835,P＞0.05)between the two groups was found.Conclusion The patients type B receiving type AB kidney donors are more prone to rebound antibody after ABOi-KT operation compared to the the patients type A receiving type AB.

Red doctor's culture is a characteristic cultural system in the field of red and health during the revolutionary period,as well as an important part of China's revolutionary culture.It differs from general medical culture,and its formation and development has unique historical implications.Therefore,it is necessary to deeply analyze the basic connotation of red doctor's culture and explore the contemporary value it contains.In the new era,inheriting the red doctor's culture is of great significance,which can effectively promote the construction of a healthy China in the new era,provide high-quality resources for ideological and political education in the new era,and become a new approach to inheriting the red gene.The successful inheritance of the red doctor's culture is inseparable from the joint efforts of all sectors of society.Strengthening scientific research,optimizing the educational environment,and increasing cultural propaganda,can assist in the inheritance of red doctor's culture,open a new chapter of it,make the red doctor's culture deeply penetrate people's hearts,and let the red bloodline be passed down from generation to generation.

Background Under the backdrop of the national innovation-driven development strategy, the increasing occupational stress and job burnout among employees are noteworthy for their impact on employees' subjective well-being. Objective To clarify the status, distribution characteristics, and the relationship between subjective well-being, occupational stress, and job burnout of employees in research and development (R&D) enterprises, in order to improve their subjective well-being. Methods A total of 3366 employees from R&D departments at 7 enterprises in Minhang District of Shanghai were selected. The well-being level of the research subjects was investigated by using the World Health Organization Well-Being Index (WHO-5) that yielded total scores from 0 to 25, and a higher total score indicated a higher well-being level; the levels of occupational stress and job burnout were investigated by using the Chinese version of the Job Content Questionnaire, and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS). The scores of WHO-5, JDC, and MBI-GS were incorporated into structural equation modeling (SEM) as numerical variables to analyze their relationship. Results The scores of subjective well-being, occupational stress, and job burnout of employees in the R&D enterprises were 13.30±6.09, 1.12±0.45, and 2.18±1.12, respectively. The positive rates of occupational stress and job burnout were 44.4% and 70.9% respectively, and the positive rate of severe job burnout was 11.7%. There were statistically significant differences in the score of subjective well-being among the participants by gender, age, educational level, marital status, registered residence, working seniority, and jobs (P<0.05); there were statistically significant differences in the positive rate of occupational stress by gender, educational level, marital status, working seniority, and jobs (P<0.05); there were statistically significant differences in the positive rate of job burnout by gender, age, educational level, marital status, registered residence, working seniority, and jobs (P<0.05). There was a negative correlation between subjective well-being and occupational stress (r=−0.1747, P < 0.01), a negative correlation between subjective well-being and job burnout (r=−0.2987, P < 0.01), and a positive correlation between occupational stress and job burnout (r=0.3342, P < 0.01). A structural equation containing partial mediating effect of job burnout on the relationship between occupational stress and subjective well-being was established, and the partial effect accounting for 52.5% of the total effect. Conclusion The job burnout among employees in R&D companies partially mediates the impact of occupational stress on subjective well-being. Reducing the level of job burnout will help alleviate occupational stress and thus improve employees' subjective well-being.