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 safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective:To explore the clinical characteristics and genetic basis for a child with global developmental delay and autism.Methods:A child who had presented at West China Second University Hospital of Sichuan University on April 13, 2021 was selected as the study subject. Clinical manifestations, laboratory examination and result of genetic testing were analyzed.Results:The main symptoms of the child had included cognitive, language and motor delay, autism and epilepsy. Electroencephalogram revealed multiple focal discharges in both waking and sleeping stages, with the remarkable one seen at the sleeping stage. Cranial MRI showed pachygyria and local cortical thickening, Whole exome sequencing (WES) revealed that the child has harbored a heterozygous c. 1589_1595dup (p.Gly533Leufs*143) frameshifting variant in the TBR1 gene (OMIM 604616). Based on the guidelines from the American College of Medical Genetics and Genomics, the variant was predicted to be likely pathogenic (PS2+ PVS1_Supporting+ PM2_Supporting). After treated with levetiracetam and rehabilitation training, the child did not have seizure in the past 5 months, and his motor development has also significantly improved. Conclusion:The c. 1589_1595dup variant of the TBR1 gene probably underlay the disease in this patient.

Objective To explore the challenges and reform strategies of price management in public hospitals under the background of high-quality development.Methods This study uses a tertiary hospital in Guangdong as a case study,analyzed the current situation and challenges of price management from an overall perspective,and proposed effective strategies.Results With the ongoing reforms in medical service prices and health insurance policies,and the increasing need to improve patient expe-rience and hospital operational efficiency,we have identified significant limitations in traditional price management models.These limitations include the inability to adapt to continuous changes in external pricing policies,inadequate organizational structure and professional knowledge,lack of regulatory systems and information platforms,and lagging development of medical service pro-jects.To address these issues,the hospital conducted comprehensive evaluations of the Price Management Committee,Price Man-agement Department,and relevant business departments,adopting a problem-oriented approach to fill institutional gaps and ac-tively respond to new challenges.Conclusion Through the implementation of institutionalized,standardized,intelligent and dy-namic reform measures for price management,the level and ability of hospital price management can be improved and meet the re-quirements of high-quality development.

Objective:To explore the predictive value of the prognostic nutritional index (PNI) in concurrently infected patients with acute-on-chronic liver failure (ACLF).Methods:220 cases with ACLF diagnosed and treated at the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2016 were selected. Patients were divided into an infection and non-infection group according to whether they had co-infections during the course of the disease. Clinical data differences were compared between the two groups of patients. Binary logistic regression analysis was used to screen out influencing factors related to co-infection. The receiver operating characteristic curve was used to evaluate the predictive value of PNI for ACLF co-infection. The measurement data between groups were compared using the independent sample t-test and the Mann-Whitney U rank sum test. The enumeration data were analyzed using the Fisher exact probability test or the Pearson χ2 test. The Pearson method was performed for correlation analysis. The independent risk factors for liver failure associated with co-infection were analyzed by multivariate logistic analysis. Results:There were statistically significant differences in ascites, hepatorenal syndrome, PNI score, and albumin between the infection and the non-infection group ( P ?

Objective To explore the value of serum soluble transferrin receptor(sTFR)and urinary tryp-sin inhibitor(Bikunin)in assessing the short-term prognosis of patients with hepatitis B virus related acute on chronic live failure(HBV-ACLF).Methods A total of 103 patients with HBV-ACLF admitted to Weifang People's Hospital from January 2019 to December 2022 were collected as HBV-ACLF group,who were classi-fied into early stage group(n=46),middle stage group(n=34)and late stage group(n=23)according to the disease progression,and classified into good prognosis group(n=67)and poor prognosis group(n=36)according to clinical outcomes at 30 d after hospital admission.At the same time,65 patients with chronic hep-atitis B virus infection were selected as chronic hepatitis B group and 65 healthy volunteers were selected as control group were enrolled in the study.The clinical medical records of research objects were collected at the time of admission.Serum sTFR and Bikunin levels were detected by enzyme-linked immunosorbent assay.Spearman rank correlation analysis was performed to analyze the association between serum sTFR,Bikunin and disease progression.Multivariate Logistic regression analysis was performed to analyze factors affecting short-term poor prognosis of patients with HBV-ACLF.Receiver operating characteristic(ROC)curve was used to assess the predictive value of serum sTFR and Bikunin on prognosis.Results Serum sTFR and Bikun-in levels were lower in HBV-ACLF group and chronic hepatitis B group than those in control group,and those in HBV-ACLF group were lower than those in chronic hepatitis B group,and the differences were statistically significant(P＜0.05).Model for End-Stage Liver Disease(MELD)score was higher in HBV-ACLF group and chronic hepatitis B group than that in control group,and that in HBV-ACLF group was higher than that in chronic hepatitis B group,and the differences were statistically significant(P＜0.05).Compared with early stage group,serum sTFR and Bikunin levels decreased in middle stage group and late stage group,and those in late stage group were lower than those in middle stage group,and the differences were statistically significant(P＜0.05).MELD score increased in middle stage group and late stage group,and that in late stage group was higher than that in middle stage group,and the differences were statistically significant(P＜0.05).Serum sTFR and Bikunin in HBV-ACLF patients were associated with MELD score(r=-0.638,-0.592,P＜0.05),which were also associated with severity of disease(rs=-0.722,-0.671,P＜0.05).Elevated HB-sAg,elevated quantitative HBV DNA,middle and late stages of HBV-ACLF and elevated MELD score were independent risk factors for poor short-term prognosis in patients with HBV-ACLF(OR＞1,P＜0.05),while elevated serum sTFR and Bikunin were protective factors for poor short-term prognosis in patients with HBV-ACLF(OR＜1,P＜0.05).Serum sTFR and Bikunin both had some predictive value for poor short-term prog-nosis,and the predictive value of the combination was greater than that of single indicator(Z=2.139,2.165,P＜0.05).Conclusion Serum sTFR and Bikunin levels are decreased in patients with HBV-ACLF,which are associated with disease progression and short-term prognosis.Early combined detection of two indicators could predict the risk of poor prognosis in patients with HBV-ACLF at 30 d after hospital admission.